K-means+ Method for Improving Gene Selection for Classification of Microarray Data. - Heng Huang 001; Rong Zhang 013; Fei Xiong; Fillia Makedon; Li Shen 001; Bruce Hettleman; Justin D. Pearlman (CSB Workshops, 2005)

Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. - Heng Huang 001; Li Shen 001; Rong Zhang 013; Fillia Makedon; Bruce Hettleman; Justin D. Pearlman (MICCAI, 2005)

A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis. - Heng Huang 001; Li Shen 001; Rong Zhang 013; Fillia Makedon; Bruce Hettleman; Justin D. Pearlman (MICCAI, 2005)

An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography. - Li Shen 001; Ling Gao; Zhenwu Zhuang; Ebo DeMuinck; Heng Huang 001; Fillia Makedon; Justin D. Pearlman (Image-Guided Procedures, 2005)

Functional analysis of cardiac MR images using SPHARM modeling. - Heng Huang 001; Li Shen 001; James Ford; Fillia Makedon; Rong Zhang 013; Ling Gao; Justin D. Pearlman (Image Processing, 2005)

A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis. - Fei Xiong; Heng Huang 001; James C. Ford; Fillia Makedon; Justin D. Pearlman (Panhellenic Conference on Informatics, 2005)

A clustering-based approach for prediction of cardiac resynchronization therapy. - Heng Huang 001; Li Shen 001; Fillia Makedon; Sheng Zhang 004; Mark Greenberg; Ling Gao; Justin D. Pearlman (SAC, 2005)

A Spatio-Temporal Modeling Method for Shape Representation. - Heng Huang 001; Li Shen 001; Rong Zhang 013; Fillia Makedon; Justin D. Pearlman (3DPVT, 2006)

Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. - Heng Huang 001; Lei Zhang 002; Dimitris Samaras; Li Shen 001; Rong Zhang 013; Fillia Makedon; Justin D. Pearlman (3DPVT, 2006)

Spatio-temporal analysis tool for modeling pulmonary nodules in MR images. - Li Shen 001; Heng Huang 001; James Ford; Chia-Hsin Lu; Ling Gao; Wei Zheng 009; Fillia Makedon; Justin D. Pearlman (Image-Guided Procedures, 2006)

Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling. - Heng Huang 001; Li Shen 001; Rong Zhang 013; Fillia Makedon; Bruce Hettleman; Justin D. Pearlman (Image Processing, 2006)

A New Hybrid Technique for Dermatological Image Registration. - Heng Huang 001; Paul R. Bergstresser (BIBE, 2007)

A New Smoothing Model for Analyzing Array CGH Data. - Nha Nguyen; Heng Huang 001; Soontorn Oraintara; An P. N. Vo (BIBE, 2007)

Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform. - Nha Nguyen; Heng Huang 001; Soontorn Oraintara; Yuhang Wang (BIBE, 2007)

Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. - Li Shen 001; Andrew J. Saykin; Moo K. Chung; Heng Huang 001 (BIBE, 2007)

Efficient Registration of 3D SPHARM Surfaces. - Li Shen 001; Heng Huang 001; Fillia Makedon; Andrew J. Saykin (CRV, 2007)

Surface Harmonics for Shape Modeling. - Heng Huang 001; Li Shen 001 (ICIP (2), 2007)

A garbage-collecting typed assembly language. - Chris Hawblitzel; Heng Huang 001; Lea Wittie; Juan Chen (TLDI, 2007)

A Feature Extraction Metod for Multimedia data Analysis in Robot Wireless Sensor Networks. - Heng Huang 001; Fillia Makedon; Dan O. Popa; Harry E. Stephanou; James Ford; Yurong Xu (WIAMIS, 2007)

Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ. - Heng Huang 001; Li Shen 001; Nha Nguyen (Simul., 2007)

A Novel Surface Registration Algorithm With Biomedical Modeling Applications. - Heng Huang 001; Li Shen 001; Rong Zhang 013; Fillia Makedon; Andrew J. Saykin; Justin D. Pearlman (IEEE Trans. Inf. Technol. Biomed., 2007)

Tensor reduction error analysis - Applications to video compression and classification. - Chris H. Q. Ding; Heng Huang 001; Dijun Luo (CVPR, 2008)

Robust tensor factorization using R1 norm. - Heng Huang 001; Chris H. Q. Ding (CVPR, 2008)

High dimensional statistical shape model for medical image analysis. - Heng Huang 001; Fillia Makedon; Roderick W. McColl (ISBI, 2008)

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. - Heng Huang 001; Chris H. Q. Ding; Dijun Luo; Tao Li 001 (KDD, 2008)

Requirements for implementation of localization into real-world assistive environments. - Eric Becker; Yurong Xu; Heng Huang 001; Fillia Makedon (PETRA, 2008)

Symmetric two dimensional linear discriminant analysis (2DLDA). - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (CVPR, 2009)

Image annotation using multi-label correlated Green's function. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (ICCV, 2009)

Non-negative Laplacian Embedding. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001; Tao Li 001 (ICDM, 2009)

Heterogeneous Data Fusion to Type Brain Tumor Biopsies. - Vangelis Metsis; Heng Huang 001; Fillia Makedon; Aria Tzika (AIAI, 2009)

Link prediction of multimedia social network via unsupervised face recognition. - Dijun Luo; Heng Huang 001 (ACM Multimedia, 2009)

Peak Detection in Mass Spectrometry by Gabor Filters and Envelope Analysis. - Nha Nguyen; Heng Huang 001; Soontorn Oraintara; An P. N. Vo (J. Bioinform. Comput. Biol., 2009)

An event driven framework for assistive CPS environments. - Fillia Makedon; Zhengyi Le; Heng Huang 001; Eric Becker; Dimitrios I. Kosmopoulos (SIGBED Rev., 2009)

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. - Hua Wang 007; Chris H. Q. Ding; Heng Huang 001 (AAAI, 2010)

Discriminant Laplacian Embedding. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (AAAI, 2010)

Multi-label Linear Discriminant Analysis. - Hua Wang 007; Chris H. Q. Ding; Heng Huang 001 (ECCV (6), 2010)

Image Categorization Using Directed Graphs. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (ECCV (3), 2010)

Multi-label Feature Transform for Image Classifications. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (ECCV (4), 2010)

Towards Structural Sparsity: An Explicit l2/l0 Approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (ICDM, 2010)

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. - Feiping Nie 001; Heng Huang 001; Xiao Cai; Chris H. Q. Ding (NIPS, 2010)

An interactive user interface system for Alzheimer's intervention. - Fillia Makedon; Rong Zhang 013; Georgios Alexandrakis; Charles B. Owen; Heng Huang 001; Andrew J. Saykin (PETRA, 2010)

Emotion detection via discriminative kernel method. - Hua Wang 007; Heng Huang 001; Yanzi Hu; Mindi Anderson; Pamela R. Rollins; Fillia Makedon (PETRA, 2010)

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. - Feiping Nie 001; Chris H. Q. Ding; Dijun Luo; Heng Huang 001 (ECML/PKDD (2), 2010)

Directed Graph Learning via High-Order Co-linkage Analysis. - Hua Wang 007; Chris H. Q. Ding; Heng Huang 001 (ECML/PKDD (3), 2010)

Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet. - Nha Nguyen; Heng Huang 001; Soontorn Oraintara; An P. N. Vo (Bioinform., 2010)

Solenoid and non-solenoid protein recognition using stationary wavelet packet transform. - An P. N. Vo; Nha Nguyen; Heng Huang 001 (Bioinform., 2010)

Stationary Wavelet Packet Transform and Dependent Laplacian Bivariate Shrinkage Estimator for Array-CGH Data Smoothing. - Nha Nguyen; Heng Huang 001; Soontorn Oraintara; An P. N. Vo (J. Comput. Biol., 2010)

On the eigenvectors of p-Laplacian. - Dijun Luo; Heng Huang 001; Chris H. Q. Ding; Feiping Nie 001 (Mach. Learn., 2010)

Linear Discriminant Analysis: New Formulations and Overfit Analysis. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (AAAI, 2011)

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (AAAI, 2011)

Learning Instance Specific Distance for Multi-Instance Classification. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (AAAI, 2011)

Robust nonnegative matrix factorization using L21-norm. - Deguang Kong; Chris H. Q. Ding; Heng Huang 001 (CIKM, 2011)

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu; Heng Huang 001 (CIKM, 2011)

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (CIKM, 2011)

Heterogeneous image feature integration via multi-modal spectral clustering. - Xiao Cai; Feiping Nie 001; Heng Huang 001; Farhad Kamangar (CVPR, 2011)

Image annotation using bi-relational graph of images and semantic labels. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (CVPR, 2011)

Load model development for next generation appliances. - Franklin L. Quilumba; Wei-Jen Lee; Heng Huang 001; David Yanshi Wang; Robert Louis Szabados (IAS, 2011)

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. - Dijun Luo; Heng Huang 001; Chris H. Q. Ding (ICCV, 2011)

Unsupervised and semi-supervised learning via ℓ1-norm graph. - Feiping Nie 001; Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (ICCV, 2011)

Dyadic transfer learning for cross-domain image classification. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding (ICCV, 2011)

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Shannon L. Risacher; Chris H. Q. Ding; Andrew J. Saykin; Li Shen 001 (ICCV, 2011)

Consensus spectral clustering in near-linear time. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001; Feiping Nie 001 (ICDE, 2011)

Multi-Class L2, 1-Norm Support Vector Machine. - Xiao Cai; Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding (ICDM, 2011)

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding (ICDM, 2011)

Cauchy Graph Embedding. - Dijun Luo; Chris H. Q. Ding; Feiping Nie 001; Heng Huang 001 (ICML, 2011)

Cluster Indicator Decomposition for Efficient Matrix Factorization. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (IJCAI, 2011)

Ball Ranking Machine for Content-Based Multimedia Retrieval. - Dijun Luo; Heng Huang 001 (IJCAI, 2011)

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. - Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding; Dijun Luo; Hua Wang 007 (IJCAI, 2011)

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Fillia Makedon (IJCAI, 2011)

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MICCAI (3), 2011)

Learning frame relevance for video classification. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Yi Yang 001 (ACM Multimedia, 2011)

Maximum Margin Multi-Instance Learning. - Hua Wang 007; Heng Huang 001; Farhad Kamangar; Feiping Nie 001; Chris H. Q. Ding (NIPS, 2011)

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (PAKDD (1), 2011)

Cost effective depression patient thought record categorization via self-taught learning. - Hua Wang 007; Heng Huang 001; Monica Basco; Molly Lopez; Fillia Makedon (PETRA, 2011)

Graph Evolution via Social Diffusion Processes. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (ECML/PKDD (2), 2011)

Multi-Subspace Representation and Discovery. - Dijun Luo; Feiping Nie 001; Chris H. Q. Ding; Heng Huang 001 (ECML/PKDD (2), 2011)

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. - Hua Wang 007; Heng Huang 001; Feiping Nie 001; Chris H. Q. Ding (SIGIR, 2011)

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. - Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding (AAAI, 2012)

Trust prediction via aggregating heterogeneous social networks. - Jin Huang; Feiping Nie 001; Heng Huang 001; Yi-Cheng Tu (CIKM, 2012)

Multi-label ReliefF and F-statistic feature selections for image annotation. - Deguang Kong; Chris H. Q. Ding; Heng Huang 001; Haifeng Zhao (CVPR, 2012)

Object localization in medical images based on graphical model with contrast and interest-region terms. - Yang Song 001; Weidong Cai 001; Heng Huang 001; Yue Wang 021; David Dagan Feng (CVPR Workshops, 2012)

Robust and discriminative distance for Multi-Instance Learning. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (CVPR, 2012)

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. - Xiao Cai; Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (ECCV (6), 2012)

Parallelization with Multiplicative Algorithms for Big Data Mining. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (ICDM, 2012)

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. - Feiping Nie 001; Hua Wang 007; Xiao Cai; Heng Huang 001; Chris H. Q. Ding (ICDM, 2012)

An Iterative Locally Linear Embedding Algorithm. - Deguang Kong; Chris H. Q. Ding; Heng Huang 001; Feiping Nie 001 (ICML, 2012)

Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning. - Hua Wang 007; Dhiraj Joshi; Jiebo Luo 001; Heng Huang 001; Minwoo Park (ISM, 2012)

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. - Hanbo Chen; Xiao Cai; Dajiang Zhu; Feiping Nie 001; Tianming Liu 001; Heng Huang 001 (MICCAI (2), 2012)

Context Enhanced Graphical Model for Object Localization in Medical Images. - Yang Song 001; Weidong Cai 001; Heng Huang 001; Yue Wang 021; David Dagan Feng (MCV, 2012)

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. - Jingwen Yan; Shannon L. Risacher; Sungeun Kim; Jacqueline C. Simon; Taiyong Li; Jing Wan; Hua Wang 007; Heng Huang 001; Andrew J. Saykin; Li Shen 001 (MBIA, 2012)

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001; Feiping Nie 001 (NIPS, 2012)

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (NIPS, 2012)

Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (RECOMB, 2012)

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding; Feiping Nie 001 (RECOMB, 2012)

Joint stage recognition and anatomical annotation of drosophila gene expression patterns. - Xiao Cai; Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (Bioinform., 2012)

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Jingwen Yan; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases. - Nan Zhang 004; Liam O'Neill; Gautam Das 001; Xiuzhen Cheng; Heng Huang 001 (Int. J. Heal. Inf. Syst. Informatics, 2012)

Robust Discrete Matrix Completion. - Jin Huang; Feiping Nie 001; Heng Huang 001 (AAAI, 2013)

Spectral Rotation versus K-Means in Spectral Clustering. - Jin Huang; Feiping Nie 001; Heng Huang 001 (AAAI, 2013)

Supervised and Projected Sparse Coding for Image Classification. - Jin Huang; Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding (AAAI, 2013)

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. - Hua Wang 007; Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding (CVPR, 2013)

New Graph Structured Sparsity Model for Multi-label Image Annotations. - Xiao Cai; Feiping Nie 001; Weidong Cai 001; Heng Huang 001 (ICCV, 2013)

Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. - Xiao Cai; Feiping Nie 001; Weidong Cai 001; Heng Huang 001 (ICCV, 2013)

Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. - Hua Wang 007; Feiping Nie 001; Weidong Cai 001; Heng Huang 001 (ICCV, 2013)

Robust and Discriminative Self-Taught Learning. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (ICML (3), 2013)

Multi-View Clustering and Feature Learning via Structured Sparsity. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (ICML (3), 2013)

Exact Top-k Feature Selection via l2, 0-Norm Constraint. - Xiao Cai; Feiping Nie 001; Heng Huang 001 (IJCAI, 2013)

Multi-View K-Means Clustering on Big Data. - Xiao Cai; Feiping Nie 001; Heng Huang 001 (IJCAI, 2013)

Social Trust Prediction Using Rank-k Matrix Recovery. - Jin Huang; Feiping Nie 001; Heng Huang 001; Yu Lei 001; Chris H. Q. Ding (IJCAI, 2013)

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. - Feiping Nie 001; Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (IJCAI, 2013)

Early Active Learning via Robust Representation and Structured Sparsity. - Feiping Nie 001; Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (IJCAI, 2013)

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (IJCAI, 2013)

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. - De Wang; Feiping Nie 001; Heng Huang 001; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (IPMI, 2013)

Towards adaptive dialogue systems for assistive living environments. - Alexandros Papangelis; Vangelis Karkaletsis; Heng Huang 001 (IUI Companion, 2013)

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. - Xiao Cai; Chris H. Q. Ding; Feiping Nie 001; Heng Huang 001 (KDD, 2013)

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. - Heng Huang 001; Jingwen Yan; Feiping Nie 001; Jin Huang; Weidong Cai 001; Andrew J. Saykin; Li Shen 001 (MICCAI (2), 2013)

Similarity Guided Feature Labeling for Lesion Detection. - Yang Song 001; Weidong Cai 001; Heng Huang 001; Xiaogang Wang 001; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (MICCAI (1), 2013)

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. - Jingwen Yan; Heng Huang 001; Shannon L. Risacher; Sungeun Kim; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (MBIA, 2013)

Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling. - Yang Song 001; Weidong Cai 001; Heng Huang 001; Yue Wang 021; David Dagan Feng; Mei Chen (BMC Bioinform., 2013)

Toward structural sparsity: an explicit ℓ2/ℓ0 approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang 001 (Knowl. Inf. Syst., 2013)

Robust Manifold Nonnegative Matrix Factorization. - Jin Huang; Feiping Nie 001; Heng Huang 001; Chris H. Q. Ding (ACM Trans. Knowl. Discov. Data, 2013)

Social trust prediction using heterogeneous networks. - Jin Huang; Feiping Nie 001; Heng Huang 001; Yi-Cheng Tu; Yu Lei 001 (ACM Trans. Knowl. Discov. Data, 2013)

A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. - Xiaojun Chang; Feiping Nie 001; Yi Yang 001; Heng Huang 001 (AAAI, 2014)

Globally and Locally Consistent Unsupervised Projection. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (AAAI, 2014)

Low-Rank Tensor Completion with Spatio-Temporal Consistency. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (AAAI, 2014)

Video Motion Segmentation Using New Adaptive Manifold Denoising Model. - Dijun Luo; Heng Huang 001 (CVPR, 2014)

An overview of AMI data preprocessing to enhance the performance of load forecasting. - Franklin L. Quilumba; Wei-Jen Lee; Heng Huang 001; David Yanshi Wang; Robert L. Szabados (IAS, 2014)

Linear Time Solver for Primal SVM. - Feiping Nie 001; Yizhen Huang; Heng Huang 001 (ICML, 2014)

Optimal Mean Robust Principal Component Analysis. - Feiping Nie 001; Jianjun Yuan; Heng Huang 001 (ICML, 2014)

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (ICML, 2014)

Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. - Jingwen Yan; Heng Huang 001; Sungeun Kim; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (ISBI, 2014)

Clustering and projected clustering with adaptive neighbors. - Feiping Nie 001; Xiaoqian Wang 001; Heng Huang 001 (KDD, 2014)

Large-scale adaptive semi-supervised learning via unified inductive and transductive model. - De Wang; Feiping Nie 001; Heng Huang 001 (KDD, 2014)

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang 001; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (MICCAI (3), 2014)

Large Margin Aggregation of Local Estimates for Medical Image Classification. - Yang Song 001; Tom Weidong Cai; Heng Huang 001; Yun Zhou 006; David Dagan Feng; Mei Chen (MICCAI (2), 2014)

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. - De Wang; Yang Wang; Feiping Nie 001; Jingwen Yan; Tom Weidong Cai; Andrew J. Saykin; Li Shen 001; Heng Huang 001 (MICCAI (3), 2014)

Flexible Shift-Invariant Locality and Globality Preserving Projections. - Feiping Nie 001; Xiao Cai; Heng Huang 001 (ECML/PKDD (2), 2014)

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK). - De Wang; Feiping Nie 001; Heng Huang 001 (ECML/PKDD (3), 2014)

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. - Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (RECOMB, 2014)

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. - Jingwen Yan; Lei Du 001; Sungeun Kim; Shannon L. Risacher; Heng Huang 001; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2014)

A Convex Sparse PCA for Feature Analysis. - Xiaojun Chang; Feiping Nie 001; Yi Yang 001; Heng Huang 001 (CoRR, 2014)

A generative probability model of joint label fusion for multi-atlas based brain segmentation. - Guorong Wu 001; Qian Wang 001; Daoqiang Zhang; Feiping Nie 001; Heng Huang 001; Dinggang Shen (Medical Image Anal., 2014)

Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization. - Hua Wang 007; Heng Huang 001; Monica Basco; Molly Lopez; Fillia Makedon (Pers. Ubiquitous Comput., 2014)

Lung Nodule Classification With Multilevel Patch-Based Context Analysis. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Min-Zhao Lee; Yun Zhou 006; Heng Huang 001; Shimin Shan; Michael J. Fulham; David Dagan Feng (IEEE Trans. Biomed. Eng., 2014)

DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms. - Vangelis Metsis; Fillia Makedon; Dinggang Shen; Heng Huang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies. - Yang Song 001; Weidong Cai 001; Heng Huang 001; Xiaogang Wang 001; Yun Zhou 006; Michael J. Fulham; David Dagan Feng (IEEE Trans. Medical Imaging, 2014)

Emotion Detection via Discriminant Laplacian Embedding. - Hua Wang 007; Heng Huang 001; Fillia Makedon (Univers. Access Inf. Soc., 2014)

Large-Scale Multi-View Spectral Clustering via Bipartite Graph. - Yeqing Li; Feiping Nie 001; Heng Huang 001; Junzhou Huang (AAAI, 2015)

Learning Robust Locality Preserving Projection via p-Order Minimization. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (AAAI, 2015)

A Closed Form Solution to Multi-View Low-Rank Regression. - Shuai Zheng 002; Xiao Cai; Chris H. Q. Ding; Feiping Nie 001; Heng Huang 001 (AAAI, 2015)

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang 001; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BIH, 2015)

Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. - Hongchang Gao; Feiping Nie 001; Tom Weidong Cai; Heng Huang 001 (CIKM, 2015)

Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization. - Peng Li 056; Tom Weidong Cai; Heng Huang 001 (CIKM, 2015)

Fusing subcategory probabilities for texture classification. - Yang Song 001; Weidong Cai 001; Qing Li 012; Fan Zhang 013; David Dagan Feng; Heng Huang 001 (CVPR, 2015)

Factors that impact the accuracy of clustering based load forecasting. - Xin Wang; Wei-Jen Lee; Heng Huang 001; Robert Louis Szabados; David Yanshi Wang; Peter Van Olinda (IAS, 2015)

Multi-view Subspace Clustering. - Hongchang Gao; Feiping Nie 001; Xuelong Li 001; Heng Huang 001 (ICCV, 2015)

Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears. - Afaf Tareef; Yang Song 001; Weidong Cai 001; Heng Huang 001; Yue Wang 021; Dagan Feng 001; Mei Chen (ICONIP (1), 2015)

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. - Jin Huang; Feiping Nie 001; Heng Huang 001 (IJCAI, 2015)

Robust Dictionary Learning with Capped l1-Norm. - Wenhao Jiang; Feiping Nie 001; Heng Huang 001 (IJCAI, 2015)

Discriminative Unsupervised Dimensionality Reduction. - Xiaoqian Wang 001; Yun Liu 021; Feiping Nie 001; Heng Huang 001 (IJCAI, 2015)

Bone texture characterization with fisher encoding of local descriptors. - Yang Song 001; Weidong Cai 001; Fan Zhang 013; Heng Huang 001; Yun Zhou 006; David Dagan Feng (ISBI, 2015)

Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. - Hongchang Gao; Lin Yan 003; Weidong Cai 001; Heng Huang 001 (KDD, 2015)

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. - Hongchang Gao; Chengtao Cai; Jingwen Yan; Lin Yan 003; Joaquín Goñi Cortes; Yang Wang; Feiping Nie 001; John D. West; Andrew J. Saykin; Li Shen 001; Heng Huang 001 (MICCAI (2), 2015)

Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers. - Wenhao Jiang; Feiping Nie 001; Korris Fu-Lai Chung; Heng Huang 001 (CoRR, 2015)

Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery. - Feiping Nie 001; Hua Wang 007; Heng Huang 001; Chris H. Q. Ding (Knowl. Inf. Syst., 2015)

Sparse representation of whole-brain fMRI signals for identification of functional networks. - Jinglei Lv; Xi Jiang 001; Xiang Li 001; Dajiang Zhu; Hanbo Chen; Tuo Zhang; Shu Zhang 001; Xintao Hu; Junwei Han 001; Heng Huang 001; Jing Zhang 010; Lei Guo 002; et al. (Medical Image Anal., 2015)

Locality-constrained Subcluster Representation Ensemble for lung image classification. - Yang Song 001; Tom Weidong Cai; Heng Huang 001; Yun Zhou 006; Yue Wang 021; David Dagan Feng (Medical Image Anal., 2015)

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization. - Hua Wang 007; Feiping Nie 001; Heng Huang 001 (ACM Trans. Knowl. Discov. Data, 2015)

Feature Selection via Global Redundancy Minimization. - De Wang; Feiping Nie 001; Heng Huang 001 (IEEE Trans. Knowl. Data Eng., 2015)

Large Margin Local Estimate With Applications to Medical Image Classification. - Yang Song 001; Tom Weidong Cai; Heng Huang 001; Yun Zhou 006; David Dagan Feng; Yue Wang 021; Michael J. Fulham; Mei Chen (IEEE Trans. Medical Imaging, 2015)

Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities. - Franklin L. Quilumba; Wei-Jen Lee; Heng Huang 001; David Yanshi Wang; Robert L. Szabados (IEEE Trans. Smart Grid, 2015)

Optimal Discrete Matrix Completion. - Zhouyuan Huo; Ji Liu; Heng Huang 001 (AAAI, 2016)

The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation. - Wenhao Jiang; Hongchang Gao; Fu-Lai Chung; Heng Huang 001 (AAAI, 2016)

New l1-Norm Relaxations and Optimizations for Graph Clustering. - Feiping Nie 001; Hua Wang 007; Cheng Deng 002; Xinbo Gao 001; Xuelong Li 001; Heng Huang 001 (AAAI, 2016)

The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. - Feiping Nie 001; Xiaoqian Wang 001; Michael I. Jordan; Heng Huang 001 (AAAI, 2016)

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. - Hua Wang 007; Cheng Deng 002; Hao Zhang 011; Xinbo Gao 001; Heng Huang 001 (AAAI, 2016)

Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors. - Yang Song 001; Qing Li 012; Heng Huang 001; Dagan Feng 001; Mei Chen; Tom Weidong Cai (ECCV Workshops (1), 2016)

Performance evaluation of two magnetic recovery circuits of forward converter. - Dongdong Ye; Dinghao Sun; Wei-Jen Lee; Heng Huang 001; Yang Zhang (IAS, 2016)

New Robust Clustering Model for Identifying Cancer Genome Landscapes. - Hongchang Gao; Xiaoqian Wang 001; Heng Huang 001 (ICDM, 2016)

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. - Dijun Luo; Zhouyuan Huo; Yang Wang; Andrew J. Saykin; Li Shen 001; Heng Huang 001 (ICDM, 2016)

Learning Task Relational Structure for Multi-task Feature Learning. - De Wang; Feiping Nie 001; Heng Huang 001 (ICDM, 2016)

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. - Shuai Zheng 002; Feiping Nie 001; Chris H. Q. Ding; Heng Huang 001 (ICTAI, 2016)

Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint. - Feiping Nie 001; Heng Huang 001 (IJCAI, 2016)

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. - De Wang; Feiping Nie 001; Heng Huang 001 (IJCAI, 2016)

Latent source mining in FMRI data via deep neural network. - Heng Huang 001; Xintao Hu; Junwei Han 001; Jinglei Lv; Nian Liu 002; Lei Guo 002; Tianming Liu 001 (ISBI, 2016)

Texture analysis of tissue aging using global and cluster constrained local coding. - Yang Song 001; Weidong Cai 001; Fan Zhang 013; Heng Huang 001; David Dagan Feng; Yue Wang 021; Mei Chen (ISBI, 2016)

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. - Zhouyuan Huo; Feiping Nie 001; Heng Huang 001 (KDD, 2016)

Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. - Xiaoqian Wang 001; Feiping Nie 001; Heng Huang 001 (KDD, 2016)

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. - Zhouyuan Huo; Dinggang Shen; Heng Huang 001 (MICCAI (1), 2016)

Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease. - Xiaoqian Wang 001; Dinggang Shen; Heng Huang 001 (MICCAI (1), 2016)

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. - Xiaofeng Zhu 001; Heung-Il Suk; Heng Huang 001; Dinggang Shen (MICCAI (1), 2016)

Error Analysis of Generalized Nyström Kernel Regression. - Hong Chen 004; Haifeng Xia; Heng Huang 001; Weidong Cai 001 (NIPS, 2016)

UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation. - Peng Li 056; Heng Huang 001 (SemEval@NAACL-HLT, 2016)

UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports. - Peng Li 056; Heng Huang 001 (SemEval@NAACL-HLT, 2016)

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. - Lei Du 001; Heng Huang 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2016)

Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors. - Yang Song 001; Weidong Cai 001; Heng Huang 001; Dagan Feng 001; Yue Wang 021; Mei Chen (BMC Bioinform., 2016)

Structured sparse CCA for brain imaging genetics via graph OSCAR. - Lei Du 001; Heng Huang 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BMC Syst. Biol., 2016)

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction. - Bin Gu 001; Zhouyuan Huo; Heng Huang 001 (CoRR, 2016)

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction. - Bin Gu 001; Zhouyuan Huo; Heng Huang 001 (CoRR, 2016)

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization. - Bin Gu 001; Zhouyuan Huo; Heng Huang 001 (CoRR, 2016)

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction. - Zhouyuan Huo; Bin Gu 001; Heng Huang 001 (CoRR, 2016)

Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization. - Zhouyuan Huo; Heng Huang 001 (CoRR, 2016)

Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality. - Zhouyuan Huo; Heng Huang 001 (CoRR, 2016)

Clinical Information Extraction via Convolutional Neural Network. - Peng Li 056; Heng Huang 001 (CoRR, 2016)

Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding. - Peng Li 056; Heng Huang 001 (CoRR, 2016)

Non-Greedy L21-Norm Maximization for Principal Component Analysis. - Feiping Nie 001; Heng Huang 001 (CoRR, 2016)

Convex Sparse PCA for Unsupervised Feature Learning. - Xiaojun Chang; Feiping Nie 001; Yi Yang 001; Chengqi Zhang; Heng Huang 001 (ACM Trans. Knowl. Discov. Data, 2016)

Local Centroids Structured Non-Negative Matrix Factorization. - Hongchang Gao; Feiping Nie 001; Heng Huang 001 (AAAI, 2017)

Video Recovery via Learning Variation and Consistency of Images. - Zhouyuan Huo; Shangqian Gao; Weidong Cai 001; Heng Huang 001 (AAAI, 2017)

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. - Zhouyuan Huo; Heng Huang 001 (AAAI, 2017)

Semi-Supervised Classifications via Elastic and Robust Embedding. - Yun Liu 021; Yiming Guo; Hua Wang 007; Feiping Nie 001; Heng Huang 001 (AAAI, 2017)

Multiclass Capped ℓp-Norm SVM for Robust Classifications. - Feiping Nie 001; Xiaoqian Wang 001; Heng Huang 001 (AAAI, 2017)

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. - Kamran Ghasedi Dizaji; Amirhossein Herandi; Cheng Deng 002; Weidong Cai 001; Heng Huang 001 (ICCV, 2017)

Locally-Transferred Fisher Vectors for Texture Classification. - Yang Song 001; Fan Zhang 013; Qing Li 012; Heng Huang 001; Lauren J. O'Donnell; Weidong Cai 001 (ICCV, 2017)

Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. - Wenhao Jiang; Cheng Deng 002; Wei Liu 005; Feiping Nie 001; Fu-Lai Chung; Heng Huang 001 (IJCAI, 2017)

Joint Capped Norms Minimization for Robust Matrix Recovery. - Feiping Nie 001; Zhouyuan Huo; Heng Huang 001 (IJCAI, 2017)

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. - Jie Xu 012; Cheng Deng 002; Xinbo Gao 001; Dinggang Shen; Heng Huang 001 (IJCAI, 2017)

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. - Jie Xu 012; Xianglong Liu 001; Zhouyuan Huo; Cheng Deng 002; Feiping Nie 001; Heng Huang 001 (IJCAI, 2017)

Modeling Task fMRI Data via Deep Convolutional Autoencoder. - Heng Huang 001; Xintao Hu; Milad Makkie; Qinglin Dong; Yu Zhao 007; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (IPMI, 2017)

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. - Xiaoqian Wang 001; Kefei Liu 001; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang 001 (IPMI, 2017)

Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. - Bin Gu 001; Guodong Liu; Heng Huang 001 (KDD, 2017)

Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. - Yang Song 001; Hang Chang; Heng Huang 001; Weidong Cai 001 (MICCAI (3), 2017)

Group Sparse Additive Machine. - Hong Chen 004; Xiaoqian Wang 001; Cheng Deng 002; Heng Huang 001 (NIPS, 2017)

Learning A Structured Optimal Bipartite Graph for Co-Clustering. - Feiping Nie 001; Xiaoqian Wang 001; Cheng Deng 002; Heng Huang 001 (NIPS, 2017)

Regularized Modal Regression with Applications in Cognitive Impairment Prediction. - Xiaoqian Wang 001; Hong Chen 004; Weidong Cai 001; Dinggang Shen; Heng Huang 001 (NIPS, 2017)

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang 001 (RECOMB, 2017)

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. - Kamran Ghasedi Dizaji; Amirhossein Herandi; Heng Huang 001 (CoRR, 2017)

Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes. - Zhe Guo; Xiang Li 001; Heng Huang 001; Ning Guo; Quanzheng Li (CoRR, 2017)

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. - Zhouyuan Huo; Bin Gu 001; Heng Huang 001 (CoRR, 2017)

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. - Afaf Tareef; Yang Song 001; Weidong Cai 001; Heng Huang 001; Hang Chang; Yue Wang 021; Michael J. Fulham; Dagan Feng 001; Mei Chen (Neurocomputing, 2017)

Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling. - Afaf Tareef; Yang Song 001; Heng Huang 001; Yue Wang 021; Dagan Feng 001; Mei Chen; Weidong Cai 001 (Neurocomputing, 2017)

Dual discriminative local coding for tissue aging analysis. - Yang Song 001; Qing Li 012; Fan Zhang 013; Heng Huang 001; Dagan Feng 001; Yue Wang 021; Mei Chen; Weidong Cai 001 (Medical Image Anal., 2017)

Refined Spectral Clustering via Embedded Label Propagation. - Yan-shuo Chang; Feiping Nie 001; Zhihui Li 001; Xiaojun Chang; Heng Huang 001 (Neural Comput., 2017)

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. - Xiaofeng Zhu 001; Heung-Il Suk; Heng Huang 001; Dinggang Shen (IEEE Trans. Big Data, 2017)

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. - Hua Wang 007; Lin Yan 003; Heng Huang 001; Chris H. Q. Ding (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification. - Yang Song 001; Qing Li 012; Heng Huang 001; Dagan Feng 001; Mei Chen; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2017)

Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. - Kamran Ghasedi Dizaji; Heng Huang 001 (AAAI, 2018)

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. - Bin Gu 001; De Wang; Zhouyuan Huo; Heng Huang 001 (AAAI, 2018)

Asynchronous Doubly Stochastic Sparse Kernel Learning. - Bin Gu 001; Miao Xin; Zhouyuan Huo; Heng Huang 001 (AAAI, 2018)

Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. - Zhouyuan Huo; Bin Gu 001; Ji Liu; Heng Huang 001 (AAAI, 2018)

Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. - Lei Luo 001; Heng Huang 001 (AAAI, 2018)

Direct Hashing Without Pseudo-Labels. - Feng Zheng 001; Heng Huang 001 (AAAI, 2018)

Asynchronous Doubly Stochastic Group Regularized Learning. - Bin Gu 001; Zhouyuan Huo; Heng Huang 001 (AISTATS, 2018)

Unsupervised Deep Generative Adversarial Hashing Network. - Kamran Ghasedi Dizaji; Feng Zheng 001; Najmeh Sadoughi; Yanhua Yang; Cheng Deng 002; Heng Huang 001 (CVPR, 2018)

Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. - Dongnan Liu; Donghao Zhang 004; Yang Song 001; Chaoyi Zhang; Heng Huang 001; Mei Chen; Weidong Cai 001 (CVPR Workshops, 2018)

Direct Shape Regression Networks for End-to-End Face Alignment. - Xin Miao; Xiantong Zhen; Xianglong Liu 001; Cheng Deng 002; Vassilis Athitsos; Heng Huang 001 (CVPR, 2018)

Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. - Zhouyuan Huo; Xue Jiang; Heng Huang 001 (ICDM, 2018)

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. - Bin Gu 001; Zhouyuan Huo; Cheng Deng 002; Heng Huang 001 (ICML, 2018)

Decoupled Parallel Backpropagation with Convergence Guarantee. - Zhouyuan Huo; Bin Gu 001; Qian Yang 003; Heng Huang 001 (ICML, 2018)

Joint Generative Moment-Matching Network for Learning Structural Latent Code. - Hongchang Gao; Heng Huang 001 (IJCAI, 2018)

Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models. - Hongchang Gao; Heng Huang 001 (IJCAI, 2018)

Deep Attributed Network Embedding. - Hongchang Gao; Heng Huang 001 (IJCAI, 2018)

New Balanced Active Learning Model and Optimization Algorithm. - Xiaoqian Wang 001; Yijun Huang; Ji Liu; Heng Huang 001 (IJCAI, 2018)

Multi-Level Metric Learning via Smoothed Wasserstein Distance. - Jie Xu 012; Lei Luo 001; Cheng Deng 002; Heng Huang 001 (IJCAI, 2018)

Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding. - Feng Zheng 001; Xin Miao; Heng Huang 001 (IJCAI, 2018)

Modeling task fMRI data via mixture of deep expert networks. - Heng Huang 001; Xintao Hu; Qinglin Dong; Shijie Zhao 001; Shu Zhang 001; Yu Zhao 007; Lei Quo; Tianming Liu 001 (ISBI, 2018)

Latent source mining of fMRI data via deep belief network. - Lei Li; Xintao Hu; Heng Huang 001; Chunlin He; Liting Wang; Junwei Han 001; Lei Quo; Wei Zhang 090; Tianming Liu 001 (ISBI, 2018)

Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes. - Zhe Guo; Xiang Li 001; Heng Huang 001; Ning Quo; Quanzheng Li (ISBI, 2018)

Semi-Supervised Generative Adversarial Network for Gene Expression Inference. - Kamran Ghasedi Dizaji; Xiaoqian Wang 001; Heng Huang 001 (KDD, 2018)

Self-Paced Network Embedding. - Hongchang Gao; Heng Huang 001 (KDD, 2018)

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. - Bin Gu 001; Xiao-Tong Yuan; Songcan Chen; Heng Huang 001 (KDD, 2018)

New Robust Metric Learning Model Using Maximum Correntropy Criterion. - Jie Xu 012; Lei Luo 001; Cheng Deng 002; Heng Huang 001 (KDD, 2018)

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. - Lodewijk Brand; Hua Wang 007; Heng Huang 001; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MICCAI (1), 2018)

Temporal Correlation Structure Learning for MCI Conversion Prediction. - Xiaoqian Wang 001; Weidong Cai 001; Dinggang Shen; Heng Huang 001 (MICCAI (3), 2018)

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. - Donghao Zhang 004; Yang Song 001; Dongnan Liu; Haozhe Jia; Siqi Liu 001; Yong Xia 001; Heng Huang 001; Weidong Cai 001 (MICCAI (2), 2018)

Training Neural Networks Using Features Replay. - Zhouyuan Huo; Bin Gu 001; Heng Huang 001 (NeurIPS, 2018)

Bilevel Distance Metric Learning for Robust Image Recognition. - Jie Xu 012; Lei Luo 001; Cheng Deng 002; Heng Huang 001 (NeurIPS, 2018)

Session introduction. - Heng Huang 001; Li Shen 001; Paul M. Thompson; Kun Huang 001; Junzhou Huang; Lin Yang 002 (PSB, 2018)

Genotype-Phenotype association study via new multi-task learning model. - Zhouyuan Huo; Dinggang Shen; Heng Huang 001 (PSB, 2018)

Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels. - Kamran Ghasedi Dizaji; Yanhua Yang; Heng Huang 001 (WSDM, 2018)

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. - Xiaoqian Wang 001; Hong Chen 004; Jingwen Yan; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang 001 (Bioinform., 2018)

Conditional generative adversarial network for gene expression inference. - Xiaoqian Wang 001; Kamran Ghasedi Dizaji; Heng Huang 001 (Bioinform., 2018)

3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation. - Haozhe Jia; Yang Song 001; Donghao Zhang 004; Heng Huang 001; Dagan Feng 001; Michael J. Fulham; Yong Xia 001; Weidong Cai 001 (CoRR, 2018)

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang 001 (J. Comput. Biol., 2018)

Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. - Xiaoqian Wang 001; Xiantong Zhen; Quanzheng Li; Dinggang Shen; Heng Huang 001 (Neuroinformatics, 2018)

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts. - Shijie Zhao 001; Junwei Han 001; Xi Jiang 001; Heng Huang 001; Huan Liu 006; Jinglei Lv; Lei Guo 002; Tianming Liu 001 (Neuroinformatics, 2018)

Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations. - Nha Nguyen; An P. N. Vo; Haibin Sun; Heng Huang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Modeling Task fMRI Data Via Deep Convolutional Autoencoder. - Heng Huang 001; Xintao Hu; Yu Zhao 007; Milad Makkie; Qinglin Dong; Shijie Zhao 001; Lei Guo 002; Tianming Liu 001 (IEEE Trans. Medical Imaging, 2018)

Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells. - Afaf Tareef; Yang Song 001; Heng Huang 001; Dagan Feng 001; Mei Chen; Yue Wang 021; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2018)

Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification. - Lei Luo 001; Jian Yang 003; Bob Zhang 001; Jielin Jiang; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. - Bin Gu 001; Zhouyuan Huo; Heng Huang 001 (AAAI, 2019)

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. - Feihu Huang 001; Bin Gu 001; Zhouyuan Huo; Songcan Chen; Heng Huang 001 (AAAI, 2019)

Orthogonality-Promoting Dictionary Learning via Bayesian Inference. - Lei Luo 001; Jie Xu 012; Cheng Deng 002; Heng Huang 001 (AAAI, 2019)

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. - Lei Luo 001; Jie Xu 012; Cheng Deng 002; Heng Huang 001 (AAAI, 2019)

Large-Scale Machine Learning Algorithms for Biomedical Data Science. - Heng Huang 001 (BCB, 2019)

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. - Chenyou Fan; Xiaofan Zhang 006; Shu Zhang 001; Wensheng Wang; Chi Zhang 012; Heng Huang 001 (CVPR, 2019)

Cross Domain Model Compression by Structurally Weight Sharing. - Shangqian Gao; Cheng Deng 002; Heng Huang 001 (CVPR, 2019)

Balanced Self-Paced Learning for Generative Adversarial Clustering Network. - Kamran Ghasedi; Xiaoqian Wang 001; Cheng Deng 002; Heng Huang 001 (CVPR, 2019)

Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing. - Heng Wang 007; Donghao Zhang 004; Yang Song 001; Siqi Liu 001; Heng Huang 001; Mei Chen; Hanchuan Peng; Weidong Cai 001 (CVPR Workshops, 2019)

Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. - Runxue Bao; Bin Gu 001; Heng Huang 001 (ICDM, 2019)

Demystifying Dropout. - Hongchang Gao; Jian Pei 001; Heng Huang 001 (ICML, 2019)

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. - Feihu Huang 001; Songcan Chen; Heng Huang 001 (ICML, 2019)

Scalable Semi-Supervised SVM via Triply Stochastic Gradients. - Xiang Geng; Bin Gu 001; Xiang Li 012; Wanli Shi; Guansheng Zheng; Heng Huang 001 (IJCAI, 2019)

Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. - Bin Gu 001; Wenhan Xian; Heng Huang 001 (IJCAI, 2019)

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. - Feihu Huang 001; Shangqian Gao; Songcan Chen; Heng Huang 001 (IJCAI, 2019)

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. - Wanli Shi; Bin Gu 001; Xiang Li 012; Xiang Geng; Heng Huang 001 (IJCAI, 2019)

Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. - Feng Zheng 001; Cheng Deng 002; Heng Huang 001 (IJCAI, 2019)

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. - Qing Li 027; Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Han Wang 012; Heng Huang 001; Xia Wu 001; Tianming Liu 001 (IPMI, 2019)

New Graph-Blind Convolutional Network for Brain Connectome Data Analysis. - Yanfu Zhang; Heng Huang 001 (IPMI, 2019)

Mask-Driven Mitosis Detection In Histopathology Images. - Veena Dodballapur; Yang Song 001; Heng Huang 001; Mei Chen; Wojciech Chrzanowski; Weidong Cai 001 (ISBI, 2019)

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. - Fangfei Ge; Shu Zhang 001; Heng Huang 001; Xi Jiang 001; Qinglin Dong; Lei Guo 002; Xianqiao Wang; Tianming Liu 001 (ISBI, 2019)

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. - Lei Guo 028; Haoteng Tang; Qi Wang; Emily L. Dennis; Dajiang Zhu; Heng Huang 001; Olusola Ajilore; Alex D. Leow; Liang Zhan (ISBI, 2019)

Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder. - Liting Wang; Xintao Hu; Huan Liu 006; Heng Huang 001; Lei Guo 002; Tianming Liu 001 (ISBI, 2019)

Multi-Horizon Time Series Forecasting with Temporal Attention Learning. - Chenyou Fan; Yuze Zhang; Yi Pan; Xiaoyue Li; Chi Zhang 012; Rong Yuan; Di Wu; Wensheng Wang; Jian Pei 001; Heng Huang 001 (KDD, 2019)

Conditional Random Field Enhanced Graph Convolutional Neural Networks. - Hongchang Gao; Jian Pei 001; Heng Huang 001 (KDD, 2019)

ProGAN: Network Embedding via Proximity Generative Adversarial Network. - Hongchang Gao; Jian Pei 001; Heng Huang 001 (KDD, 2019)

Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. - Shuyang Yu; Bin Gu 001; Kunpeng Ning; Haiyan Chen 001; Jian Pei 001; Heng Huang 001 (KDD, 2019)

Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. - Igor Fortel; Mitchell Butler; Laura E. Korthauer; Liang Zhan; Olusola Ajilore; Ira Driscoll; Anastasios Sidiropoulos; Yanfu Zhang; Lei Guo 028; Heng Huang 001; Dan Schonfeld; Alex D. Leow (MICCAI (5), 2019)

HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. - Haozhe Jia; Yang Song 001; Heng Huang 001; Weidong Cai 001; Yong Xia 001 (MICCAI (2), 2019)

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. - Lyujian Lu; Saad Elbeleidy; Lauren Zoe Baker; Hua Wang 007; Heng Huang 001; Li Shen 001 (MICCAI (4), 2019)

Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. - Haoteng Tang; Lei Guo 028; Emily L. Dennis; Paul M. Thompson; Heng Huang 001; Olusola Ajilore; Alex D. Leow; Liang Zhan (MBIA/MFCA@MICCAI, 2019)

Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. - Yanfu Zhang; Liang Zhan; Weidong Cai 001; Paul Thompson 001; Heng Huang 001 (MICCAI (4), 2019)

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. - Yanfu Zhang; Liang Zhan; Paul M. Thompson; Heng Huang 001 (MBIA/MFCA@MICCAI, 2019)

Curvilinear Distance Metric Learning. - Shuo Chen 003; Lei Luo 001; Jian Yang 003; Chen Gong 002; Jun Li 027; Heng Huang 001 (NeurIPS, 2019)

Ouroboros: On Accelerating Training of Transformer-Based Language Models. - Qian Yang 003; Zhouyuan Huo; Wenlin Wang; Heng Huang 001; Lawrence Carin (NeurIPS, 2019)

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. - Guanghan Ning; Heng Huang 001 (CoRR, 2019)

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. - Feiping Nie 001; Hua Wang 007; Zheng Wang 037; Heng Huang 001 (CoRR, 2019)

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. - Feiping Nie 001; Zhanxuan Hu; Xiaoqian Wang 001; Rong Wang 001; Xuelong Li 001; Heng Huang 001 (CoRR, 2019)

Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. - Feihu Huang 001; Shangqian Gao; Jian Pei 001; Heng Huang 001 (CoRR, 2019)

Diversely Stale Parameters for Efficient Training of CNNs. - An Xu; Zhouyuan Huo; Heng Huang 001 (CoRR, 2019)

Approaching Machine Learning Fairness through Adversarial Network. - Xiaoqian Wang 001; Heng Huang 001 (CoRR, 2019)

Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining. - Zhouyuan Huo; Heng Huang 001 (CoRR, 2019)

Region and Object based Panoptic Image Synthesis through Conditional GANs. - Heng Wang 007; Donghao Zhang 004; Yang Song 001; Heng Huang 001; Mei Chen; Weidong Cai 001 (CoRR, 2019)

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. - Milad Makkie; Heng Huang 001; Yu Zhao 007; Athanasios V. Vasilakos; Tianming Liu 001 (Neurocomputing, 2019)

Discovering hierarchical common brain networks via multimodal deep belief network. - Shu Zhang 001; Qinglin Dong; Wei Zhang 090; Heng Huang 001; Dajiang Zhu; Tianming Liu 001 (Medical Image Anal., 2019)

Nesting-structured nuclear norm minimization for spatially correlated matrix variate. - Lei Luo 001; Jian Yang 003; Yigong Zhang; Yong Xu 001; Heng Huang 001 (Pattern Recognit., 2019)

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. - Shu Zhang 001; Huan Liu 006; Heng Huang 001; Yu Zhao 007; Xi Jiang 001; Brook Bowers; Lei Guo 002; Xiaoping Hu 001; Mar Sanchez; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2019)

Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation. - Wenhao Jiang; Hongchang Gao; Wei Lu 006; Wei Liu 005; Fu-Lai Chung; Heng Huang 001 (IEEE Trans. Knowl. Data Eng., 2019)

Harmonic Mean Linear Discriminant Analysis. - Shuai Zheng 002; Chris Ding; Feiping Nie 001; Heng Huang 001 (IEEE Trans. Knowl. Data Eng., 2019)

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. - Wanli Shi; Bin Gu 001; Xiang Li 012; Heng Huang 001 (AAAI, 2020)

Safe Sample Screening for Robust Support Vector Machine. - Zhou Zhai; Bin Gu 001; Xiang Li 012; Heng Huang 001 (AAAI, 2020)

H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. - Haozhe Jia; Weidong Cai 001; Heng Huang 001; Yong Xia 001 (BrainLes@MICCAI (2), 2020)

Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. - Zhiyuan Dang; Cheng Deng 002; Xu Yang 019; Heng Huang 001 (CVPR, 2020)

Discrete Model Compression With Resource Constraint for Deep Neural Networks. - Shangqian Gao; Feihu Huang 001; Jian Pei 001; Heng Huang 001 (CVPR, 2020)

Towards Transferable Targeted Attack. - Maosen Li; Cheng Deng 002; Tengjiao Li; Junchi Yan; Xinbo Gao 001; Heng Huang 001 (CVPR, 2020)

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. - Dongnan Liu; Donghao Zhang 004; Yang Song 001; Fan Zhang 013; Lauren O'Donnell; Heng Huang 001; Mei Chen; Weidong Cai 001 (CVPR, 2020)

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. - Guanghan Ning; Jian Pei 001; Heng Huang 001 (CVPR Workshops, 2020)

On the Acceleration of Deep Learning Model Parallelism With Staleness. - An Xu; Zhouyuan Huo; Heng Huang 001 (CVPR, 2020)

Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images. - Veena Dodballapur; Yang Song 001; Heng Huang 001; Mei Chen; Wojciech Chrzanowski; Tom Weidong Cai (DICTA, 2020)

Binarized Neural Network for Single Image Super Resolution. - Jingwei Xin; Nannan Wang 001; Xinrui Jiang; Jie Li 001; Heng Huang 001; Xinbo Gao 001 (ECCV (4), 2020)

A Heterogeneous Spatiotemporal Network for Lightning Prediction. - Yangli-ao Geng; Qingyong Li; Tianyang Lin; Jing Zhang 058; Liangtao Xu; Wen Yao; Dong Zheng; Weitao Lyu; Heng Huang 001 (ICDM, 2020)

Adversarial Nonnegative Matrix Factorization. - Lei Luo 001; Yanfu Zhang; Heng Huang 001 (ICML, 2020)

Fast OSCAR and OWL Regression via Safe Screening Rules. - Runxue Bao; Bin Gu 001; Heng Huang 001 (ICML, 2020)

Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? - Hongchang Gao; Heng Huang 001 (ICML, 2020)

Momentum-Based Policy Gradient Methods. - Feihu Huang 001; Shangqian Gao; Jian Pei 001; Heng Huang 001 (ICML, 2020)

Sparse Shrunk Additive Models. - Guodong Liu; Hong Chen 004; Heng Huang 001 (ICML, 2020)

Sinkhorn Regression. - Lei Luo 001; Jian Pei 001; Heng Huang 001 (IJCAI, 2020)

A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. - Yurong Chen 004; Haoteng Tang; Lei Guo 028; Jamie C. Peven; Heng Huang 001; Alex D. Leow; Melissa Lamar; Liang Zhan (ISBI, 2020)

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. - Bin Gu 001; Zhiyuan Dang; Xiang Li 012; Heng Huang 001 (KDD, 2020)

Faster Secure Data Mining via Distributed Homomorphic Encryption. - Junyi Li 002; Heng Huang 001 (KDD, 2020)

Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. - Alireza Ganjdanesh; Kamran Ghasedi; Liang Zhan; Weidong Cai 001; Heng Huang 001 (MICCAI (1), 2020)

Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. - Haozhe Jia; Yong Xia 001; Weidong Cai 001; Heng Huang 001 (MICCAI (4), 2020)

BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. - Tiange Xiang; Chaoyi Zhang; Dongnan Liu; Yang Song 001; Heng Huang 001; Weidong Cai 001 (MICCAI (1), 2020)

Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. - Lodewijk Brand; Kai Nichols; Hua Wang 007; Heng Huang 001; Li Shen 001 (PSB, 2020)

Deep Large-Scale Multi-task Learning Network for Gene Expression Inference. - Kamran Ghasedi Dizaji; Wei Chen 074; Heng Huang 001 (RECOMB, 2020)

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. - Wei Zhang 090; Shijie Zhao 001; Xintao Hu; Qinglin Dong; Heng Huang 001; Shu Zhang 001; Yu Zhao 007; Haixing Dai; Fangfei Ge; Lei Guo 002; Tianming Liu 001 (Brain Connect., 2020)

Large Batch Training Does Not Need Warmup. - Zhouyuan Huo; Bin Gu 001; Heng Huang 001 (CoRR, 2020)

Faster On-Device Training Using New Federated Momentum Algorithm. - Zhouyuan Huo; Qian Yang 003; Bin Gu 001; Lawrence Carin; Heng Huang 001 (CoRR, 2020)

Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. - Dongnan Liu; Donghao Zhang 004; Yang Song 001; Heng Huang 001; Weidong Cai 001 (CoRR, 2020)

Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. - An Xu; Zhouyuan Huo; Heng Huang 001 (CoRR, 2020)

Exploit Where Optimizer Explores via Residuals. - An Xu; Zhouyuan Huo; Heng Huang 001 (CoRR, 2020)

Training Faster with Compressed Gradient. - An Xu; Zhouyuan Huo; Heng Huang 001 (CoRR, 2020)

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. - Bin Gu 001; An Xu; Zhouyuan Huo; Cheng Deng 002; Heng Huang 001 (CoRR, 2020)

Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. - Feihu Huang 001; Shangqian Gao; Jian Pei 001; Heng Huang 001 (CoRR, 2020)

Adaptive Serverless Learning. - Hongchang Gao; Heng Huang 001 (CoRR, 2020)

Periodic Stochastic Gradient Descent with Momentum for Decentralized Training. - Hongchang Gao; Heng Huang 001 (CoRR, 2020)

Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. - Junyi Li 002; Bin Gu 001; Heng Huang 001 (CoRR, 2020)

Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold. - Feihu Huang 001; Shangqian Gao; Heng Huang 001 (CoRR, 2020)

H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. - Haozhe Jia; Weidong Cai 001; Heng Huang 001; Yong Xia 001 (CoRR, 2020)

A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. - Bin Gu 001; Wenhan Xian; Zhouyuan Huo; Cheng Deng 002; Heng Huang 001 (J. Mach. Learn. Res., 2020)

Deep-learning-based prediction of late age-related macular degeneration progression. - Qi Yan 008; Daniel E. Weeks; Hongyi Xin; Anand Swaroop; Emily Y. Chew; Heng Huang 001; Ying Ding 003; Wei Chen 074 (Nat. Mach. Intell., 2020)

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). - Yu Zhao 007; Xiang Li 001; Heng Huang 001; Wei Zhang 090; Shijie Zhao 001; Milad Makkie; Mo Zhang; Quanzheng Li; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2020)

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. - Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Jinglei Lv; Heng Huang 001; Jing Yuan 004; Xi Jiang 001; Dinggang Shen; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2020)

Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering. - Yujie Li 004; Heng Huang 001; Hanbo Chen; Tianming Liu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. - Lodewijk Brand; Kai Nichols; Hua Wang 007; Li Shen 001; Heng Huang 001 (IEEE Trans. Medical Imaging, 2020)

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. - Haozhe Jia; Yong Xia 001; Yang Song 001; Donghao Zhang 004; Heng Huang 001; Yanning Zhang 001; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2020)

Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. - Kamran Ghasedi Dizaji; Hongchang Gao; Yanhua Yang; Heng Huang 001; Cheng Deng 002 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Local-Density Subspace Distributed Clustering for High-Dimensional Data. - Yangli-ao Geng; Qingyong Li; Mingfei Liang; Chong-Yung Chi; Juan Tan; Heng Huang 001 (IEEE Trans. Parallel Distributed Syst., 2020)

Large-Scale Kernel Method for Vertical Federated Learning. - Zhiyuan Dang; Bin Gu 001; Heng Huang 001 (Federated Learning, 2020)

On the Convergence of Communication-Efficient Local SGD for Federated Learning. - Hongchang Gao; An Xu; Heng Huang 001 (AAAI, 2021)

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. - Zhouyuan Huo; Bin Gu 001; Heng Huang 001 (AAAI, 2021)

Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. - Wenhan Xian; Feihu Huang 001; Heng Huang 001 (AAAI, 2021)

Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. - An Xu; Zhouyuan Huo; Heng Huang 001 (AAAI, 2021)

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. - Qingsong Zhang; Bin Gu 001; Cheng Deng 002; Heng Huang 001 (AAAI, 2021)

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. - Mansu Kim; Jaesik Kim; Jeffrey Qu; Heng Huang 001; Qi Long; Kyung-Ah Sohn 001; Dokyoon Kim; Li Shen 001 (BIBM, 2021)

HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. - Haozhe Jia; Chao Bai; Weidong Cai 001; Heng Huang 001; Yong Xia 001 (BrainLes@MICCAI (2), 2021)

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. - Qingsong Zhang; Bin Gu 001; Zhiyuan Dang; Cheng Deng 002; Heng Huang 001 (CIKM, 2021)

Nearest Neighbor Matching for Deep Clustering. - Zhiyuan Dang; Cheng Deng 002; Xu Yang 019; Kun Wei; Heng Huang 001 (CVPR, 2021)

Network Pruning via Performance Maximization. - Shangqian Gao; Feihu Huang 001; Weidong Cai 001; Heng Huang 001 (CVPR, 2021)

Unsupervised Hyperbolic Metric Learning. - Jiexi Yan; Lei Luo 001; Cheng Deng 002; Heng Huang 001 (CVPR, 2021)

Adversarial Attack on Deep Cross-Modal Hamming Retrieval. - Chao Li 033; Shangqian Gao; Cheng Deng 002; Wei Liu 005; Heng Huang 001 (ICCV, 2021)

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. - Yanfu Zhang; Lei Luo 001; Wenhan Xian; Heng Huang 001 (ICCV, 2021)

Exploration and Estimation for Model Compression. - Yanfu Zhang; Shangqian Gao; Heng Huang 001 (ICCV, 2021)

Finding Age Path of Self-Paced Learning. - Bin Gu 001; Zhou Zhai; Xiang Li 012; Heng Huang 001 (ICDM, 2021)

Unified Fairness from Data to Learning Algorithm. - Yanfu Zhang; Lei Luo 001; Heng Huang 001 (ICDM, 2021)

On the Random Conjugate Kernel and Neural Tangent Kernel. - Zhengmian Hu; Heng Huang 001 (ICML, 2021)

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. - Qingsong Zhang; Bin Gu 001; Cheng Deng 002; Songxiang Gu; Liefeng Bo; Jian Pei 001; Heng Huang 001 (KDD, 2021)

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. - Giacomo Nebbia; Saba Dadsetan; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Heng Huang 001; Shandong Wu (MICCAI (5), 2021)

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. - Xinyi Wang 015; Tiange Xiang; Chaoyi Zhang; Yang Song 001; Dongnan Liu; Heng Huang 001; Weidong Cai 001 (MICCAI (1), 2021)

Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. - Yanfu Zhang; Liang Zhan; Shandong Wu; Paul M. Thompson; Heng Huang 001 (MICCAI (7), 2021)

SwitchFlow: preemptive multitasking for deep learning. - Xiaofeng Wu 002; Jia Rao; Wei Chen 038; Hang Huang; Chris H. Q. Ding; Heng Huang 001 (Middleware, 2021)

Fast Training Method for Stochastic Compositional Optimization Problems. - Hongchang Gao; Heng Huang 001 (NeurIPS, 2021)

Optimal Underdamped Langevin MCMC Method. - Zhengmian Hu; Feihu Huang 001; Heng Huang 001 (NeurIPS, 2021)

SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. - Feihu Huang 001; Junyi Li 002; Heng Huang 001 (NeurIPS, 2021)

Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. - Feihu Huang 001; Xidong Wu; Heng Huang 001 (NeurIPS, 2021)

A Faster Decentralized Algorithm for Nonconvex Minimax Problems. - Wenhan Xian; Feihu Huang 001; Yanfu Zhang; Heng Huang 001 (NeurIPS, 2021)

Faster Stochastic Second Order Method for Large-Scale Machine Learning Models. - Hongchang Gao; Heng Huang 001 (SDM, 2021)

Double Momentum SGD for Federated Learning. - An Xu; Heng Huang 001 (CoRR, 2021)

A New Framework for Variance-Reduced Hamiltonian Monte Carlo. - Zhengmian Hu; Feihu Huang 001; Heng Huang 001 (CoRR, 2021)

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. - Bin Gu 001; Guodong Liu; Yanfu Zhang; Xiang Geng; Heng Huang 001 (CoRR, 2021)

Data Augmentation for Object Detection via Differentiable Neural Rendering. - Guanghan Ning; Guang Chen; Chaowei Tan; Si Luo; Liefeng Bo; Heng Huang 001 (CoRR, 2021)

Doubly Contrastive Deep Clustering. - Zhiyuan Dang; Cheng Deng 002; Xu Yang 019; Heng Huang 001 (CoRR, 2021)

Learning Sampling Policy for Faster Derivative Free Optimization. - Zhou Zhai; Bin Gu 001; Heng Huang 001 (CoRR, 2021)

Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning. - Feihu Huang 001; Junyi Li 002; Heng Huang 001 (CoRR, 2021)

BiAdam: Fast Adaptive Bilevel Optimization Methods. - Feihu Huang 001; Heng Huang 001 (CoRR, 2021)

AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. - Feihu Huang 001; Heng Huang 001 (CoRR, 2021)

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. - Bo Liu 005; Chaowei Tan; Jiazhou Wang; Tao Zeng; Huasong Shan; Houpu Yao; Heng Huang 001; Peng Dai 001; Liefeng Bo; Yanqing Chen (CoRR, 2021)

Enhanced Bilevel Optimization via Bregman Distance. - Feihu Huang 001; Heng Huang 001 (CoRR, 2021)

Boundary-aware Graph Reasoning for Semantic Segmentation. - Haoteng Tang; Haozhe Jia; Weidong Cai 001; Heng Huang 001; Yong Xia 001; Liang Zhan (CoRR, 2021)

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Tom Weidong Cai; Heng Huang 001; Liang Zhan; Yong Xia 001 (CoRR, 2021)

An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization. - Xiyuan Wei; Bin Gu 001; Heng Huang 001 (CoRR, 2021)

Deep Large-Scale Multitask Learning Network for Gene Expression Inference. - Kamran Ghasedi Dizaji; Wei Chen 074; Heng Huang 001 (J. Comput. Biol., 2021)

Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity. - Bin Gu 001; Xiyuan Wei; Shangqian Gao; Ziran Xiong; Cheng Deng 002; Heng Huang 001 (J. Mach. Learn. Res., 2021)

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. - Wanli Shi; Bin Gu 001; Xiang Li 012; Cheng Deng 002; Heng Huang 001 (Mach. Learn., 2021)

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. - Haoteng Tang; Guixiang Ma; Lifang He 001; Heng Huang 001; Liang Zhan (Neural Networks, 2021)

Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. - Dongnan Liu; Donghao Zhang 004; Yang Song 001; Heng Huang 001; Weidong Cai 001 (IEEE Trans. Image Process., 2021)

Non-Greedy L21-Norm Maximization for Principal Component Analysis. - Feiping Nie 001; Lai Tian; Heng Huang 001; Chris Ding (IEEE Trans. Image Process., 2021)

PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. - Dongnan Liu; Donghao Zhang 004; Yang Song 001; Fan Zhang 013; Lauren O'Donnell; Heng Huang 001; Mei Chen; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2021)

Blind Image Clustering for Camera Source Identification via Row-Sparsity Optimization. - Xiang Jiang 005; Shikui Wei; Ting Liu 012; Ruizhen Zhao; Yao Zhao 001; Heng Huang 001 (IEEE Trans. Multim., 2021)

Sparse Modal Additive Model. - Hong Chen 004; Yingjie Wang 007; Feng Zheng 001; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. - Bin Gu 001; Xiang Geng; Xiang Li 012; Wanli Shi; Guansheng Zheng; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. - Bin Gu 001; Zhou Zhai; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Balanced Self-Paced Learning for AUC Maximization. - Bin Gu 001; Chenkang Zhang; Huan Xiong; Heng Huang 001 (AAAI, 2022)

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. - Junyi Li 002; Bin Gu 001; Heng Huang 001 (AAAI, 2022)

Learning Universal Adversarial Perturbation by Adversarial Example. - Maosen Li; Yanhua Yang; Kun Wei; Xu Yang 019; Heng Huang 001 (AAAI, 2022)

Coordinating Momenta for Cross-Silo Federated Learning. - An Xu; Heng Huang 001 (AAAI, 2022)

Towards Fairer Classifier via True Fairness Score Path. - Bin Gu 001; Zhou Zhai; Xiang Li 012; Heng Huang 001 (CIKM, 2022)

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. - Runxue Bao; Bin Gu 001; Heng Huang 001 (CIKM, 2022)

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. - An Xu; Wenqi Li 001; Pengfei Guo; Dong Yang 005; Holger Roth; Ali Hatamizadeh; Can Zhao 001; Daguang Xu; Heng Huang 001; Ziyue Xu 001 (CVPR, 2022)

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. - Jiexi Yan; Lei Luo 001; Chenghao Xu; Cheng Deng 002; Heng Huang 001 (CVPR, 2022)

Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. - Alireza Ganjdanesh; Shangqian Gao; Heng Huang 001 (ECCV (21), 2022)

Disentangled Differentiable Network Pruning. - Shangqian Gao; Feihu Huang 001; Yanfu Zhang; Heng Huang 001 (ECCV (11), 2022)

Recover Fair Deep Classification Models via Altering Pre-trained Structure. - Yanfu Zhang; Shangqian Gao; Heng Huang 001 (ECCV (13), 2022)

Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. - Xidong Wu; Feihu Huang 001; Heng Huang 001 (ICDM, 2022)

Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. - Wenhan Xian; Feihu Huang 001; Heng Huang 001 (ICDM, 2022)

Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. - Yanfu Zhang; Runxue Bao; Jian Pei 001; Heng Huang 001 (ICDM, 2022)

Bregman Gradient Policy Optimization. - Feihu Huang 001; Shangqian Gao; Heng Huang 001 (ICLR, 2022)

On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. - Hongchang Gao; Junyi Li 002; Heng Huang 001 (ICML, 2022)

RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. - Yihan Wu; Hongyang Zhang 001; Heng Huang 001 (ICML, 2022)

Detached Error Feedback for Distributed SGD with Random Sparsification. - An Xu; Heng Huang 001 (ICML, 2022)

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. - Runxue Bao; Xidong Wu; Wenhan Xian; Heng Huang 001 (IJCAI, 2022)

Hierarchical Brain Embedding Using Explainable Graph Learning. - Haoteng Tang; Lei Guo 028; Xiyao Fu; Benjamin Qu; Paul M. Thompson; Heng Huang 001; Liang Zhan (ISBI, 2022)

Communication-Efficient Robust Federated Learning with Noisy Labels. - Junyi Li 002; Jian Pei 001; Heng Huang 001 (KDD, 2022)

Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. - Yanfu Zhang; Shangqian Gao; Jian Pei 001; Heng Huang 001 (KDD, 2022)

Predicting Spatio-Temporal Human Brain Response Using fMRI. - Chongyue Zhao; Liang Zhan; Paul M. Thompson; Heng Huang 001 (MICCAI (1), 2022)

Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. - Chongyue Zhao; Liang Zhan; Paul M. Thompson; Heng Huang 001 (MICCAI (1), 2022)

Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. - Chongyue Zhao; Liang Zhan; Paul M. Thompson; Heng Huang 001 (MICCAI (1), 2022)

Enhanced Bilevel Optimization via Bregman Distance. - Feihu Huang 001; Junyi Li 002; Shangqian Gao; Heng Huang 001 (NeurIPS, 2022)

MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. - Jiexi Yan; Erkun Yang; Cheng Deng 002; Heng Huang 001 (NeurIPS, 2022)

Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. - Alireza Ganjdanesh; Jipeng Zhang; Wei Chen 074; Heng Huang 001 (RECOMB, 2022)

Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones. - Xiangyu Yin 002; Kai Huang 007; Erick Forno; Wei Chen 074; Heng Huang 001; Wei Gao 006 (SenSys, 2022)

Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. - Yanfu Zhang; Hongchang Gao; Jian Pei 001; Heng Huang 001 (WWW, 2022)

How Many Data Are Needed for Robust Learning? - Hongyang Zhang 001; Yihan Wu; Heng Huang 001 (CoRR, 2022)

Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. - Runxue Bao; Xidong Wu; Wenhan Xian; Heng Huang 001 (CoRR, 2022)

Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. - Junyi Li 002; Feihu Huang 001; Heng Huang 001 (CoRR, 2022)

Functional2Structural: Cross-Modality Brain Networks Representation Learning. - Haoteng Tang; Xiyao Fu; Lei Guo 028; Yalin Wang 001; Scott Mackin; Olusola Ajilore; Alex D. Leow; Paul M. Thompson; Heng Huang 001; Liang Zhan (CoRR, 2022)

FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings. - Junyi Li 002; Heng Huang 001 (CoRR, 2022)

BI AVAN: Brain inspired Adversarial Visual Attention Network. - Heng Huang 001; Lin Zhao 004; Xintao Hu; Haixing Dai; Lu Zhang 050; Dajiang Zhu; Tianming Liu 001 (CoRR, 2022)

Towards Robust Dataset Learning. - Yihan Wu; Xinda Li 001; Florian Kerschbaum; Heng Huang 001; Hongyang Zhang 001 (CoRR, 2022)

Adversarial Weight Perturbation Improves Generalization in Graph Neural Network. - Yihan Wu; Aleksandar Bojchevski; Heng Huang 001 (CoRR, 2022)

3D bi-directional transformer U-Net for medical image segmentation. - Xiyao Fu; Zhexian Sun; Haoteng Tang; Eric M. Zou; Heng Huang 001; Yong Wang; Liang Zhan (Frontiers Big Data, 2022)

Multimodal Genotype and Phenotype Data Integration to Improve Partial Data-Based Longitudinal Prediction. - Alireza Ganjdanesh; Jipeng Zhang; Sarah Yan; Wei Chen 074; Heng Huang 001 (J. Comput. Biol., 2022)

Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization. - Feihu Huang 001; Shangqian Gao; Jian Pei 001; Heng Huang 001 (J. Mach. Learn. Res., 2022)

Towards bi-directional skip connections in encoder-decoder architectures and beyond. - Tiange Xiang; Chaoyi Zhang; Xinyi Wang 015; Yang Song 001; Dongnan Liu; Heng Huang 001; Weidong Cai 001 (Medical Image Anal., 2022)

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. - Zhiyuan Dang; Xiang Li 012; Bin Gu 001; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Scaling Up Generalized Kernel Methods. - Bin Gu 001; Zhiyuan Dang; Zhouyuan Huo; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning multi-scale synergic discriminative features for prostate image segmentation. - Haozhe Jia; Weidong Cai 001; Heng Huang 001; Yong Xia 001 (Pattern Recognit., 2022)

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. - Tiange Xiang; Yang Song 001; Chaoyi Zhang; Dongnan Liu; Mei Chen; Fan Zhang 013; Heng Huang 001; Lauren O'Donnell; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2022)

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. - Bin Gu 001; An Xu; Zhouyuan Huo; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Wavelet-Based Dual Recursive Network for Image Super-Resolution. - Jingwei Xin; Jie Li 001; Xinrui Jiang; Nannan Wang 001; Heng Huang 001; Xinbo Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Faster Stochastic Quasi-Newton Methods. - Qingsong Zhang; Feihu Huang 001; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. - Alireza Ganjdanesh; Shangqian Gao; Heng Huang 001 (AAAI, 2023)

Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. - Yihan Wu; Aleksandar Bojchevski; Heng Huang 001 (AAAI, 2023)

Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. - Xidong Wu; Zhengmian Hu; Heng Huang 001 (AAAI, 2023)

Faster Adaptive Federated Learning. - Xidong Wu; Feihu Huang 001; Zhengmian Hu; Heng Huang 001 (AAAI, 2023)

Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. - Zhou Zhai; Lei Luo 001; Heng Huang 001; Bin Gu 001 (AAAI, 2023)

Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. - Yimu Wang; Dinghuai Zhang; Yihan Wu; Heng Huang 001; Hongyang Zhang 001 (CVPR, 2023)

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. - Lichang Chen; Jiuhai Chen; Heng Huang 001; Minhao Cheng (EMNLP, 2023)

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. - Jianan Fan; Dongnan Liu; Hang Chang; Heng Huang 001; Mei Chen; Weidong Cai 001 (ICCV, 2023)

Structural Alignment for Network Pruning through Partial Regularization. - Shangqian Gao; Zeyu Zhang; Yanfu Zhang; Feihu Huang 001; Heng Huang 001 (ICCV, 2023)

Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. - Jiexi Yan; Zhihui Yin; Erkun Yang; Yanhua Yang; Heng Huang 001 (ICCV, 2023)

Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. - Shangqian Gao; Burak Uzkent; Yilin Shen; Heng Huang 001; Hongxia Jin (ICLR, 2023)

Tighter Analysis for ProxSkip. - Zhengmian Hu; Heng Huang 001 (ICML, 2023)

Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. - Zhengmian Hu; Xidong Wu; Heng Huang 001 (ICML, 2023)

A Law of Robustness beyond Isoperimetry. - Yihan Wu; Heng Huang 001; Hongyang Zhang 001 (ICML, 2023)

Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. - Xidong Wu; Zhengmian Hu; Jian Pei 001; Heng Huang 001 (KDD, 2023)

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. - Zixuan Wen; Jingxuan Bao; Shu Yang 009; Shannon L. Risacher; Andrew J. Saykin; Paul M. Thompson; Christos Davatzikos; Heng Huang 001; Yize Zhao; Li Shen 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. - Kai Ye 002; Haoteng Tang; Siyuan Dai; Lei Guo 028; Johnny Yuehan Liu; Yalin Wang 001; Alex D. Leow; Paul M. Thompson; Heng Huang 001; Liang Zhan (MICCAI (3), 2023)

Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. - Maosen Li; Xurong Li; Kun Yu; Cheng Deng 002; Heng Huang 001; Feng Mao; Hui Xue 001; Minghao Li 008 (ACM Multimedia, 2023)

PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones. - Xiangyu Yin 002; Kai Huang 007; Erick Forno; Wei Chen 074; Heng Huang 001; Wei Gao 006 (MobiSys, 2023)

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. - Junfeng Guo; Yiming Li 004; Lixu Wang; Shu-Tao Xia; Heng Huang 001; Cong Liu 005; Bo Li 026 (NeurIPS, 2023)

Optimization and Bayes: A Trade-off for Overparameterized Neural Networks. - Zhengmian Hu; Heng Huang 001 (NeurIPS, 2023)

Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning. - Junyi Li 002; Heng Huang 001 (NeurIPS, 2023)

Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems. - Junyi Li 002; Feihu Huang 001; Heng Huang 001 (NeurIPS, 2023)

Federated Conditional Stochastic Optimization. - Xidong Wu; Jianhui Sun; Zhengmian Hu; Junyi Li 002; Aidong Zhang 001; Heng Huang 001 (NeurIPS, 2023)

Solving a Class of Non-Convex Minimax Optimization in Federated Learning. - Xidong Wu; Jianhui Sun; Zhengmian Hu; Aidong Zhang 001; Heng Huang 001 (NeurIPS, 2023)

Finding Local Minima Efficiently in Decentralized Optimization. - Wenhan Xian; Heng Huang 001 (NeurIPS, 2023)

FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging. - Junyi Li 002; Feihu Huang 001; Heng Huang 001 (CoRR, 2023)

Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems. - Junyi Li 002; Feihu Huang 001; Heng Huang 001 (CoRR, 2023)

When do you need Chain-of-Thought Prompting for ChatGPT? - Jiuhai Chen; Lichang Chen; Heng Huang 001; Tianyi Zhou 001 (CoRR, 2023)

Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction. - Xiangyu Xu 004; Lichang Chen; Changjiang Cai; Huangying Zhan; Qingan Yan; Pan Ji; Junsong Yuan 001; Heng Huang 001; Yi Xu 002 (CoRR, 2023)

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. - Lichang Chen; Heng Huang 001; Minhao Cheng (CoRR, 2023)

Backdoor Learning on Sequence to Sequence Models. - Lichang Chen; Minhao Cheng; Heng Huang 001 (CoRR, 2023)

Incomplete Multimodal Learning for Complex Brain Disorders Prediction. - Reza Shirkavand; Liang Zhan; Heng Huang 001; Li Shen 001; Paul M. Thompson (CoRR, 2023)

Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers. - Reza Shirkavand; Fei Zhang; Heng Huang 001 (CoRR, 2023)

Deep Prompt Tuning for Graph Transformers. - Reza Shirkavand; Heng Huang 001 (CoRR, 2023)

Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation. - Yihan Wu; Brandon Y. Feng; Heng Huang 001 (CoRR, 2023)

DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models. - Yihan Wu; Zhengmian Hu; Hongyang Zhang 001; Heng Huang 001 (CoRR, 2023)

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. - Ming Li 010; Lichang Chen; Jiuhai Chen; Shwai He; Heng Huang 001; Jiuxiang Gu; Tianyi Zhou 001 (CoRR, 2023)

GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset. - Ruibo Chen; Tianyi Xiong; Yihan Wu; Guodong Liu; Zhengmian Hu; Lichang Chen; Yanshuo Chen; Chenxi Liu; Heng Huang 001 (CoRR, 2023)

Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. - Zhengmian Hu; Gang Wu 013; Saayan Mitra; Ruiyi Zhang 002; Tong Sun 005; Heng Huang 001; Vishy Swaminathan (CoRR, 2023)

Federated Continual Novel Class Learning. - Lixu Wang; Chenxi Liu; Junfeng Guo; Jiahua Dong 001; Xiao Wang 012; Heng Huang 001; Qi Zhu 002 (CoRR, 2023)

Signed graph representation learning for functional-to-structural brain network mapping. - Haoteng Tang; Lei Guo 028; Xiyao Fu; Yalin Wang 001; Scott Mackin; Olusola Ajilore; Alex D. Leow; Paul M. Thompson; Heng Huang 001; Liang Zhan (Medical Image Anal., 2023)

Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. - Jiexi Yan; Lei Luo 001; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Image Process., 2023)

Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. - Dongnan Liu; Chaoyi Zhang; Yang Song 001; Heng Huang 001; Chenyu Wang 001; Michael Barnett 006; Tom Weidong Cai (IEEE Trans. Multim., 2023)

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Weidong Cai 001; Heng Huang 001; Liang Zhan; Yong Xia 001 (Comput. Biol. Medicine, 2023)

Iteratively Re-Weighted Method for Sparsity-Inducing Norms. - Feiping Nie 001; Zhanxuan Hu; Xiaoqian Wang 001; Xuelong Li 001; Heng Huang 001 (IEEE Trans. Knowl. Data Eng., 2023)

A new large-scale learning algorithm for generalized additive models. - Bin Gu 001; Chenkang Zhang; Zhouyuan Huo; Heng Huang 001 (Mach. Learn., 2023)

Federated Learning - From Algorithms to System Implementation - Liefeng Bo; Heng Huang 001; Songxiang Gu; Yanqing Chen (Federated Learning, 2024)

Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. - Alireza Ganjdanesh; Shangqian Gao; Hirad Alipanah; Heng Huang 001 (AAAI, 2024)

Adversarial Fairness Network. - Taeuk Jang; Xiaoqian Wang 001; Heng Huang 001 (AAAI, 2024)

On the Role of Server Momentum in Federated Learning. - Jianhui Sun; Xidong Wu; Heng Huang 001; Aidong Zhang 001 (AAAI, 2024)

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. - Ruibo Chen; Yihan Wu; Lichang Chen; Guodong Liu; Qi He; Tianyi Xiong; Chenxi Liu; Junfeng Guo; Heng Huang 001 (ACL (Findings), 2024)

Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. - Zhou Zhai; Wanli Shi; Heng Huang 001; Yi Chang 001; Bin Gu 001 (AISTATS, 2024)

Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. - Tianyi Xiong; Jiayi Wu 005; Botao He; Cornelia Fermüller; Yiannis Aloimonos; Heng Huang 001; Christopher A. Metzler (CoRL, 2024)

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. - Jianan Fan; Dongnan Liu; Hang Chang; Heng Huang 001; Mei Chen; Weidong Cai 001 (CVPR, 2024)

Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. - Alireza Ganjdanesh; Shangqian Gao; Heng Huang 001 (CVPR, 2024)

Device-Wise Federated Network Pruning. - Shangqian Gao; Junyi Li 002; Zeyu Zhang; Yanfu Zhang; Weidong Cai 001; Heng Huang 001 (CVPR, 2024)

BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. - Shangqian Gao; Yanfu Zhang; Feihu Huang 001; Heng Huang 001 (CVPR, 2024)

Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. - Xidong Wu; Shangqian Gao; Zeyu Zhang; Zhenzhen Li; Runxue Bao; Yanfu Zhang; Xiaoqian Wang 001; Heng Huang 001 (CVPR, 2024)

Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. - Wentao Bao; Lichang Chen; Heng Huang 001; Yu Kong 001 (ECCV (14), 2024)

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. - Jianan Fan; Dongnan Liu; Canran Li; Hang Chang; Heng Huang 001; Filip Braet; Mei Chen; Tom Weidong Cai (ECCV (73), 2024)

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. - Alireza Ganjdanesh; Yan Kang; Yuchen Liu 002; Richard Zhang 001; Zhe Lin 001; Heng Huang 001 (ECCV (61), 2024)

Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. - Chenxi Liu; Zhenyi Wang 001; Tianyi Xiong; Ruibo Chen; Yihan Wu; Junfeng Guo; Heng Huang 001 (ECCV (81), 2024)

A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. - Zhengmian Hu; Tong Zheng; Heng Huang 001 (EMNLP, 2024)

SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. - Jinming Zhuang; Zhuoping Yang; Shixin Ji; Heng Huang 001; Alex K. Jones; Jingtong Hu; Yiyu Shi 001; Peipei Zhou 001 (FPGA, 2024)

On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning. - Ziyi Chen 002; Yi Zhou 017; Heng Huang 001 (ICLR, 2024)

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation. - Kai Huang 007; Hanyun Yin; Heng Huang 001; Wei Gao 006 (ICLR, 2024)

AlpaGasus: Training a Better Alpaca with Fewer Data. - Lichang Chen; Shiyang Li; Jun Yan; Hai Wang; Kalpa Gunaratna; Vikas Yadav; Zheng Tang; Vijay Srinivasan; Tianyi Zhou 001; Heng Huang 001; Hongxia Jin (ICLR, 2024)

Unbiased Watermark for Large Language Models. - Zhengmian Hu; Lichang Chen; Xidong Wu; Yihan Wu; Hongyang Zhang 001; Heng Huang 001 (ICLR, 2024)

FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. - Junyi Li 002; Feihu Huang 001; Heng Huang 001 (ICLR, 2024)

A Unified and General Framework for Continual Learning. - Zhenyi Wang 001; Yan Li; Li Shen 008; Heng Huang 001 (ICLR, 2024)

Dropout Enhanced Bilevel Training. - Peiran Yu; Junyi Li 002; Heng Huang 001 (ICLR, 2024)

ODIN: Disentangled Reward Mitigates Hacking in RLHF. - Lichang Chen; Chen Zhu 001; Jiuhai Chen; Davit Soselia; Tianyi Zhou 001; Tom Goldstein; Heng Huang 001; Mohammad Shoeybi; Bryan Catanzaro (ICML, 2024)

InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. - Lichang Chen; Jiuhai Chen; Tom Goldstein; Heng Huang 001; Tianyi Zhou 001 (ICML, 2024)

Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces. - Ziyi Chen 002; Heng Huang 001 (ICML, 2024)

Accelerated Speculative Sampling Based on Tree Monte Carlo. - Zhengmian Hu; Heng Huang 001 (ICML, 2024)

Defense against Model Extraction Attack by Bayesian Active Watermarking. - Zhenyi Wang 001; Yihan Wu; Heng Huang 001 (ICML, 2024)

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. - Yihan Wu; Zhengmian Hu; Junfeng Guo; Hongyang Zhang 001; Heng Huang 001 (ICML, 2024)

Delving into the Convergence of Generalized Smooth Minimax Optimization. - Wenhan Xian; Ziyi Chen 002; Heng Huang 001 (ICML, 2024)

Retrieval Across Any Domains via Large-scale Pre-trained Model. - Jiexi Yan; Zhihui Yin; Chenghao Xu; Cheng Deng 002; Heng Huang 001 (ICML, 2024)

Brain Image Synthesis Using Incomplete Multimodal Data. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang 001 (ISBI, 2024)

Neurodegenerative Disease Prediction via Transferable Deep Networks. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang 001 (ISBI, 2024)

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. - Haoteng Tang; Guodong Liu; Siyuan Dai; Kai Ye 002; Kun Zhao 007; Wenlu Wang; Carl Yang 001; Lifang He 001; Alex D. Leow; Paul M. Thompson; Heng Huang 001; Liang Zhan (MICCAI (2), 2024)

Model Sensitivity Aware Continual Learning. - Zhenyi Wang 001; Heng Huang 001 (NeurIPS, 2024)

Robust Reinforcement Learning with General Utility. - Ziyi Chen 002; Yan Wen; Zhengmian Hu; Heng Huang 001 (NeurIPS, 2024)

ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark. - Junfeng Guo; Yiming Li 004; Ruibo Chen; Yihan Wu; Chenxi Liu; Heng Huang 001 (NeurIPS, 2024)

Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models. - Zhengmian Hu; Heng Huang 001 (NeurIPS, 2024)

Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. - Junyi Li 002; Heng Huang 001 (NeurIPS, 2024)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. - Zhaoxin Fan; Runmin Jiang; Junhao Wu 003; Xin Huang; Tianyang Wang 004; Heng Huang 001; Min Xu 009 (CoRR, 2024)

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions. - Yihan Wu; Ruibo Chen; Zhengmian Hu; Yanshuo Chen; Junfeng Guo; Hongyang Zhang 001; Heng Huang 001 (CoRR, 2024)

OPTune: Efficient Online Preference Tuning. - Lichang Chen; Jiuhai Chen; Chenxi Liu; John Kirchenbauer; Davit Soselia; Chen Zhu 001; Tom Goldstein; Tianyi Zhou 001; Heng Huang 001 (CoRR, 2024)

From Pixels to Prose: A Large Dataset of Dense Image Captions. - Vasu Singla; Kaiyu Yue; Sukriti Paul; Reza Shirkavand; Mayuka Jayawardhana; Alireza Ganjdanesh; Heng Huang 001; Abhinav Bhatele; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

MLPHand: Real Time Multi-View 3D Hand Mesh Reconstruction via MLP Modeling. - Jian Yang 035; Jiakun Li; Guoming Li; Zhen Shen 004; Huai-Yu Wu; Zhaoxin Fan; Heng Huang 001 (CoRR, 2024)

Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding. - Heng Huang 001; Lin Zhao 004; Zihao Wu 001; Xiaowei Yu 001; Jing Zhang 010; Xintao Hu; Dajiang Zhu; Tianming Liu 001 (CoRR, 2024)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework. - Zhengwei Yang 001; Yuke Li; Qiang Sun; Basura Fernando; Heng Huang 001; Zheng Wang 007 (CoRR, 2024)

Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. - Yanshuo Chen; Zhengmian Hu; Wei Chen; Heng Huang 001 (CoRR, 2024)

Cell as Point: One-Stage Framework for Efficient Cell Tracking. - Yaxuan Song; Jianan Fan; Heng Huang 001; Mei Chen; Tom Weidong Cai (CoRR, 2024)

Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. - Bojian Hou; Zixuan Wen; Jingxuan Bao; Richard Zhang 001; Boning Tong; Shu Yang 009; Junhao Wen 002; Yuhan Cui; Jason H. Moore; Andrew J. Saykin; Heng Huang 001; Paul M. Thompson; et al. (Medical Image Anal., 2024)

Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems. - Peiran Yu; Junyi Li 002; Heng Huang 001 (Trans. Mach. Learn. Res., 2024)

A Bayesian Federated Learning Framework With Online Laplace Approximation. - Liangxi Liu; Xi Jiang 009; Feng Zheng 001; Hong Chen 004; Guo-Jun Qi; Heng Huang 001; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Kernel Path for Semisupervised Support Vector Machine. - Zhou Zhai; Heng Huang 001; Bin Gu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression. - Chongyue Zhao; Zhongli Xu; Xinjun Wang 004; Shiyue Tao; William A Macdonald; Kun He; Amanda C. Poholek; Kong Chen; Heng Huang 001; Wei Chen (Briefings Bioinform., 2024)

Tackle balancing constraints in semi-supervised ordinal regression. - Chenkang Zhang; Heng Huang 001; Bin Gu 001 (Mach. Learn., 2024)

Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms. - Bin Gu 001; Xiyuan Wei; Hualin Zhang; Yi Chang 001; Heng Huang 001 (Neural Comput., 2024)

Asynchronous Parallel Large-Scale Gaussian Process Regression. - Zhiyuan Dang; Bin Gu 001; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. - Haoteng Tang; Guixiang Ma; Lei Guo 028; Xiyao Fu; Heng Huang 001; Liang Zhan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Causality-Invariant Interactive Mining for Cross-Modal Similarity Learning. - Jiexi Yan; Cheng Deng 002; Heng Huang 001; Wei Liu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. - Peiyan Dong; Jinming Zhuang; Zhuoping Yang; Shixin Ji; Yanyu Li; Dongkuan Xu; Heng Huang 001; Jingtong Hu; Alex K. Jones; Yiyu Shi 001; Yanzhi Wang 001; Peipei Zhou 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. - Chuan He 004; Heng Huang 001; Zhaosong Lu (Comput. Optim. Appl., 2024)

New Scalable and Efficient Online Pairwise Learning Algorithm. - Bin Gu 001; Runxue Bao; Chenkang Zhang; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. - Zheng Wang 037; Feiping Nie 001; Hua Wang 007; Heng Huang 001; Fei Wang 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Improved Unbiased Watermark for Large Language Models. - Ruibo Chen; Yihan Wu; Junfeng Guo; Heng Huang 001 (ACL (1), 2025)

From Lists to Emojis: How Format Bias Affects Model Alignment. - Xuanchang Zhang; Wei Xiong 015; Lichang Chen; Tianyi Zhou 001; Heng Huang 001; Tong Zhang 001 (ACL (1), 2025)

Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation. - Tong Zheng; Yan Wen; Huiwen Bao; Junfeng Guo; Heng Huang 001 (ACL (Findings), 2025)

Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model. - Frederick H. Xu; Duy Duong-Tran; Heng Huang 001; Andrew J. Saykin; Paul M. Thompson; Christos Davatzikos; Yize Zhao; Li Shen 001 (BCB, 2025)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. - Reza Shirkavand; Peiran Yu; Shangqian Gao; Gowthami Somepalli; Tom Goldstein; Heng Huang 001 (CVPR, 2025)

SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. - Zilan Wang; Junfeng Guo; Jiacheng Zhu; Yiming Li 004; Heng Huang 001; Muhao Chen 001; Zhengzhong Tu (CVPR, 2025)

LLaVA-Critic: Learning to Evaluate Multimodal Models. - Tianyi Xiong; Xiyao Wang; Dong Guo; Qinghao Ye; Haoqi Fan 001; Quanquan Gu; Heng Huang 001; Chunyuan Li (CVPR, 2025)

Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models. - Yisheng Zhong; Yizhu Wen; Junfeng Guo; Mehran Kafai; Heng Huang 001; Hanqing Guo; Zhuangdi Zhu (EMNLP, 2025)

ARGUS: Hallucination and Omission Evaluation in Video-LLMs. - Ruchit Rawal; Reza Shirkavand; Heng Huang 001; Gowthami Somepalli; Tom Goldstein (ICCV, 2025)

Federated Continuous Category Discovery and Learning. - Lixu Wang; Chenxi Liu; Junfeng Guo; Qingqing Ye 001; Heng Huang 001; Haibo Hu 001; Wei Dong (ICCV, 2025)

Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. - Zixuan Wen; Bojian Hou; Weiqing He; Shu Yang 009; Jason H. Moore; Andrew J. Saykin; Heng Huang 001; Paul M. Thompson; Marylyn D. Ritchie; Christos Davatzikos; Li Shen 001 (ICCVW, 2025)

GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning. - Kelin Yu; Sheng Zhang 004; Harshit Soora; Furong Huang; Heng Huang 001; Pratap Tokekar; Ruohan Gao (ICCV, 2025)

Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. - Siyuan Dai; Lunxiao Li; Kun Zhao 007; Eardi Lila; Paul K. Crane; Heng Huang 001; Dongkuan Xu; Haoteng Tang; Liang Zhan (ICDM (Workshops), 2025)

Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction. - Yang Du; Siyuan Dai; Marcus Zhan; Guodong Liu; Paul M. Thompson; Heng Huang 001; Haoteng Tang (ICDM (Workshops), 2025)

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities. - Lichang Chen; Hexiang Hu; Mingda Zhang; Yiwen Chen; Zifeng Wang; Yandong Li; Pranav Shyam; Tianyi Zhou 001; Heng Huang 001; Ming-Hsuan Yang 001; Boqing Gong (ICLR, 2025)

A Watermark for Order-Agnostic Language Models. - Ruibo Chen; Yihan Wu; Yanshuo Chen; Chenxi Liu; Junfeng Guo; Heng Huang 001 (ICLR, 2025)

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. - Alireza Ganjdanesh; Reza Shirkavand; Shangqian Gao; Heng Huang 001 (ICLR, 2025)

Towards Optimal Multi-draft Speculative Decoding. - Zhengmian Hu; Tong Zheng; Vignesh Viswanathan; Ziyi Chen 002; Ryan A. Rossi; Yihan Wu; Dinesh Manocha; Heng Huang 001 (ICLR, 2025)

Identification of Intermittent Temporal Latent Process. - Yuke Li; Yujia Zheng 001; Guangyi Chen 002; Kun Zhang 001; Heng Huang 001 (ICLR, 2025)

Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations. - Shaocong Ma; Heng Huang 001 (ICLR, 2025)

De-mark: Watermark Removal in Large Language Models. - Ruibo Chen; Yihan Wu; Junfeng Guo; Heng Huang 001 (ICML, 2025)

Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. - Qi He; Peiran Yu; Ziyi Chen 002; Heng Huang 001 (ICML, 2025)

Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations. - Wenhan Xian; Feihu Huang 001; Heng Huang 001 (IJCAI, 2025)

A Watermark for Auto-Regressive Speech Generation Models. - Yihan Wu; Ruibo Chen; Georgios Milis; Junfeng Guo; Heng Huang 001 (INTERSPEECH, 2025)

Trustworthy Clinical Thinking in MLLMs: Hierarchical Energy-based Reasoning for interpretable MEdical Scans (HERMES). - Florence X. Doo; Huiwen Han; Bradley A. Maron; Heng Huang 001 (Agentic AI/CREATE/Clinical MLLMs@MICCAI, 2025)

Modality Plug-and-Play: Runtime Modality Adaptation in LLM-Driven Autonomous Mobile Systems. - Kai Huang 007; Xiangyu Yin 002; Heng Huang 001; Wei Gao 006 (MobiCom, 2025)

On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization. - Shaocong Ma; Heng Huang 001 (NeurIPS, 2025)

Cost-Aware Contrastive Routing for LLMs. - Reza Shirkavand; Shangqian Gao; Peiran Yu; Heng Huang 001 (NeurIPS, 2025)

Robust Distortion-Free Watermark for Autoregressive Audio Generation Models. - Yihan Wu; Georgios Milis; Ruibo Chen; Heng Huang 001 (NeurIPS, 2025)

Predicting Longitudinal Cognitive Decline via Multimodal Deep Learning Fusing Brain MRI and Clinical Data. - Tamoghna Chattopadhyay; Pavithra Senthilkumar; Rahul H. Ankarath; Christopher Patterson; Emma J. Gleave; Sophia I. Thomopoulos; Heng Huang 001; Li Shen 001; Lei You; Degui Zhi; Paul M. Thompson (SIPAIM, 2025)

AUDIO WATERMARK: Dynamic and Harmless Watermark for Black-box Voice Dataset Copyright Protection. - Hanqing Guo; Junfeng Guo; Bocheng Chen; Yuanda Wang; Xun Chen; Heng Huang 001; Qiben Yan 001; Li Xiao 001 (USENIX Security Symposium, 2025)

Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. - Yanshuo Chen; Zhengmian Hu; Wei Chen 074; Heng Huang 001 (Bioinform., 2025)

Enhancing privacy in biosecurity with watermarked protein design. - Yanshuo Chen; Zhengmian Hu; Yihan Wu; Ruibo Chen; Yongrui Jin; Marcus Zhan; Chengjin Xie; Wei Chen 074; Heng Huang 001 (Bioinform., 2025)

BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis. - Kai Ye 002; Haoteng Tang; Siyuan Dai; Igor Fortel; Paul M. Thompson; Scott Mackin; Alex D. Leow; Heng Huang 001; Liang Zhan (Neural Networks, 2025)

Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. - Shaocong Ma; Ziyi Chen 002; Yi Zhou 017; Heng Huang 001 (Trans. Mach. Learn. Res., 2025)

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. - Shuo Xing; Hongyuan Hua; Xiangbo Gao; Shenzhe Zhu; Renjie Li 003; Kexin Tian; Xiaopeng Li 020; Heng Huang 001; Tianbao Yang; Zhangyang Wang; Yang Zhou 019; Huaxiu Yao; et al. (Trans. Mach. Learn. Res., 2025)

Client-Centric Federated Adaptive Optimization. - Jianhui Sun; Xidong Wu; Heng Huang 001; Aidong Zhang 001 (CoRR, 2025)

Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training. - Reza Shirkavand; Qi He; Peiran Yu; Heng Huang 001 (CoRR, 2025)

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Ownership Verification with Reasoning. - Junfeng Guo; Yiming Li 004; Ruibo Chen; Yihan Wu; Chenxi Liu; Yanshuo Chen; Heng Huang 001 (CoRR, 2025)

Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths. - Yajing Fan; Shuyang Yu; Bin Gu 001; Ziran Xiong; Zhou Zhai; Heng Huang 001; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness. - Yu Feng; Dingxin Zhang 001; Runkai Zhao; Yong Xia 001; Heng Huang 001; Tom Weidong Cai (CoRR, 2025)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. - Zhenyi Wang 001; Enneng Yang; Li Shen 008; Heng Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Global Model Selection via Solution Paths for Robust Support Vector Machine. - Zhou Zhai; Bin Gu 001; Cheng Deng 002; Heng Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Stagewise Training With Exponentially Growing Training Sets. - Bin Gu 001; Hilal AlQuabeh; William de Vazelhes; Zhouyuan Huo; Heng Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Web IP at Risk: Prevent Unauthorized Real-Time Retrieval by Large Language Models. - Yisheng Zhong; Yizhu Wen; Junfeng Guo; Mehran Kafai; Heng Huang 001; Hanqing Guo; Zhuangdi Zhu (CoRR, 2025)

Learning to Reason via Mixture-of-Thought for Logical Reasoning. - Tong Zheng; Lichang Chen; Simeng Han; R. Thomas McCoy; Heng Huang 001 (CoRR, 2025)

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems. - Yan Wen; Junfeng Guo; Heng Huang 001 (CoRR, 2025)

Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining. - Chenxi Liu; Tianyi Xiong; Ruibo Chen; Yihan Wu; Junfeng Guo; Tianyi Zhou 001; Heng Huang 001 (CoRR, 2025)

A Watermark for Auto-Regressive Image Generation Models. - Yihan Wu; Xuehao Cui; Ruibo Chen; Georgios Milis; Heng Huang 001 (CoRR, 2025)

An Efficient and Adaptive Watermark Detection System with Tile-based Error Correction. - Xinrui Zhong; Xinze Feng; Jingwei Zuo; Fanjiang Ye; Yi Mu 005; Junfeng Guo; Heng Huang 001; Myungjin Lee; Yuke Wang (CoRR, 2025)

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning. - Tong Zheng; Hongming Zhang 009; Wenhao Yu 002; Xiaoyang Wang 001; Runpeng Dai; Rui Liu; Huiwen Bao; Chengsong Huang; Heng Huang 001; Dong Yu 001 (CoRR, 2025)

Understanding Catastrophic Interference On the Identifibility of Latent Representations. - Yuke Li; Yujia Zheng 001; Tianyi Xiong; Zhenyi Wang 001; Heng Huang 001 (CoRR, 2025)

An Ensemble Framework for Unbiased Language Model Watermarking. - Yihan Wu; Ruibo Chen; Georgios Milis; Heng Huang 001 (CoRR, 2025)

Analyzing and Evaluating Unbiased Language Model Watermark. - Yihan Wu; Xuehao Cui; Ruibo Chen; Heng Huang 001 (CoRR, 2025)

Model Correlation Detection via Random Selection Probing. - Ruibo Chen; Sheng Zhang 004; Yihan Wu; Tong Zheng; Peihua Mai; Heng Huang 001 (CoRR, 2025)

Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking. - Jingqi Zhang; Ruibo Chen; Yingqing Yang; Peihua Mai; Heng Huang 001; Yan Pang (CoRR, 2025)

Achieve Performatively Optimal Policy for Performative Reinforcement Learning. - Ziyi Chen 002; Heng Huang 001 (CoRR, 2025)

Trade-off in Estimating the Number of Byzantine Clients in Federated Learning. - Ziyi Chen 002; Su Zhang; Heng Huang 001 (CoRR, 2025)

Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization. - Ziyi Chen 002; Peiran Yu; Heng Huang 001 (CoRR, 2025)

Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation. - Reza Shirkavand; Xiaokai Wei; Chen Wang; Zheng Hui; Heng Huang 001; Michelle Gong (CoRR, 2025)

Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment. - Ziyi Chen 002; Junyi Li 002; Peiran Yu; Heng Huang 001 (CoRR, 2025)

Improving Text-to-Image Generation with Input-Side Inference-Time Scaling. - Ruibo Chen; Jiacheng Pan; Heng Huang 001; Zhenheng Yang (CoRR, 2025)

Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets. - Shaocong Ma; Heng Huang 001 (CoRR, 2025)

Explore Data Left Behind in Reinforcement Learning for Reasoning Language Models. - Chenxi Liu; Junjie Liang; Yuqi Jia; Bochuan Cao; Yang Bai; Heng Huang 001; Xun Chen (CoRR, 2025)

ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation. - Kaishen Wang; Ruibo Chen; Tong Zheng; Heng Huang 001 (CoRR, 2025)

Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following. - Tianyi Xiong; Yi Ge; Ming Li 010; Zuolong Zhang; Pranav Kulkarni; Kaishen Wang; Qi He; Zeying Zhu; Chenxi Liu; Ruibo Chen; Tong Zheng; Yanshuo Chen; et al. (CoRR, 2025)

R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression. - Kun Zhao 007; Siyuan Dai; Yingying Zhang; Guodong Liu; Pengfei Gu; Chenghua Lin 002; Paul M. Thompson; Alex D. Leow; Heng Huang 001; Lifang He 001; Liang Zhan; Haoteng Tang (CoRR, 2025)

Dynamic Feedback Engines: Layer-Wise Control for Self-Regulating Continual Learning. - Hengyi Wu; Zhenyi Wang 001; Heng Huang 001 (CoRR, 2025)

On Structuring Hyperspherical Manifold for Probing Novel Biomedical Entities. - Jianan Fan; Dongnan Liu; Hang Chang; Heng Huang 001; Mei Chen; Weidong Cai 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Crestomics: Analyzing Carotid Plaques in the Crest-2 Trial with a New Additive Classification Model. - Pranav Kulkarni; Brajesh K. Lal; Georges Jreij; Sai Vallamchetla; Langford Green; Jenifer Voeks; John Huston; Lloyd J. Edwards; George Howard; Bradley A. Maron; Thomas G. Brott; James F. Meschia; et al. (ISBI, 2026)

Newton-CG Methods for Nonconvex Unconstrained Optimization with Hölder Continuous Hessian. - Chuan He 004; Heng Huang 001; Zhaosong Lu (Math. Oper. Res., 2026)

Enhancing weakly supervised 3D medical image segmentation through probabilistic-aware learning. - Runmin Jiang; Zhaoxin Fan; Junhao Wu 003; Lenghan Zhu; Xin Huang; Tianyang Wang 004; Heng Huang 001; Min Xu 009 (Pattern Recognit., 2026)

Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds. - Shaocong Ma; Heng Huang 001 (CoRR, 2026)

Are We Evaluating the Edit Locality of LLM Model Editing Properly? - Wei Liu 144; Haomei Xu; Hongkai Liu; Zhiying Deng; Ruixuan Li 001; Heng Huang 001; Yee Whye Teh; Wee Sun Lee (CoRR, 2026)

Prepare Reasoning Language Models for Multi-Agent Debate with Self-Debate Reinforcement Learning. - Chenxi Liu; Yanshuo Chen; Ruibo Chen; Tianyi Xiong; Tong Zheng; Heng Huang 001 (CoRR, 2026)

R2-Router: A New Paradigm for LLM Routing with Reasoning. - Jiaqi Xue; Qian Lou; Jiarong Xing; Heng Huang 001 (CoRR, 2026)

Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing. - Tong Zheng; Chengsong Huang; Runpeng Dai; Yun He; Rui Liu; Xin Ni; Huiwen Bao; Kaishen Wang; Hongtu Zhu; Jiaxin Huang 001; Furong Huang; Heng Huang 001 (CoRR, 2026)

X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging. - Pranav Kulkarni; Junfeng Guo; Heng Huang 001 (CoRR, 2026)

Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization. - Anirudh Satheesh; Ziyi Chen 002; Furong Huang; Heng Huang 001 (CoRR, 2026)

More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark Ensembles. - Ruibo Chen; Yihan Wu; Xuehao Cui; Jingqi Zhang; Heng Huang 001 (CoRR, 2026)

MC2Mark: Distortion-Free Multi-Bit Watermarking for Long Messages. - Xuehao Cui; Ruibo Chen; Yihan Wu; Heng Huang 001 (CoRR, 2026)

Unsafe by Reciprocity: How Generation-Understanding Coupling Undermines Safety in Unified Multimodal Models. - Kaishen Wang; Heng Huang 001 (CoRR, 2026)

New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework. - Shaocong Ma; Peiran Yu; Heng Huang 001 (CoRR, 2026)

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention. - Tianyi Wang; Jianan Fan; Dingxin Zhang 001; Dongnan Liu; Yong Xia 001; Heng Huang 001; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2026)

FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning. - Su Zhang; Junfeng Guo; Heng Huang 001 (CoRR, 2026)

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling. - Tong Zheng; Haolin Liu; Chengsong Huang; Huiwen Bao; Sheng Zhang 004; Rui Liu; Runpeng Dai; Ruibo Chen; Chenxi Liu; Tianyi Xiong; Xidong Wu; Hongming Zhang 009; et al. (CoRR, 2026)

RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction. - Yaxuan Song; Jianan Fan; Tianyi Wang; Qiuyue Hu; Hang Chang; Heng Huang 001; Weidong Cai 001 (CoRR, 2026)

Compositional Adversarial Training for Robust Visual Watermarking. - Anirudh Satheesh; Michael-Andrei Panaitescu-Liess; Andrew Xu; Georgios Milis; Heng Huang 001; Zikui Cai; Furong Huang (CoRR, 2026)