Heng Huang

Affiliations:
  • University of Maryland at College Park, MD, USA
  • University of Pittsburgh, PA, USA (former)


According to our database1, Heng Huang authored at least 575 papers between 2000 and 2024.

Collaborative distances:

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Bibliography

2024
A Frequency-Division Transceiver for Long-Range Neural Signal Recording From Multiple Subjects.
IEEE J. Solid State Circuits, March, 2024

Kernel Path for Semisupervised Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

A Bayesian Federated Learning Framework With Online Laplace Approximation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

ODIN: Disentangled Reward Mitigates Hacking in RLHF.
CoRR, 2024

SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration.
CoRR, 2024

2023
A new large-scale learning algorithm for generalized additive models.
Mach. Learn., September, 2023

Iteratively Re-Weighted Method for Sparsity-Inducing Norms.
IEEE Trans. Knowl. Data Eng., July, 2023

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images.
Comput. Biol. Medicine, March, 2023

Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement.
IEEE Trans. Multim., 2023

Adaptive Hierarchical Similarity Metric Learning With Noisy Labels.
IEEE Trans. Image Process., 2023

Signed graph representation learning for functional-to-structural brain network mapping.
Medical Image Anal., 2023

Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold.
CoRR, 2023

Federated Continual Novel Class Learning.
CoRR, 2023

On the Role of Server Momentum in Federated Learning.
CoRR, 2023

Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels.
CoRR, 2023

Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information.
CoRR, 2023

GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset.
CoRR, 2023

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand.
CoRR, 2023

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning.
CoRR, 2023

Unbiased Watermark for Large Language Models.
CoRR, 2023

DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models.
CoRR, 2023

Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation.
CoRR, 2023

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation.
CoRR, 2023

Deep Prompt Tuning for Graph Transformers.
CoRR, 2023

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.
CoRR, 2023

AlpaGasus: Training A Better Alpaca with Fewer Data.
CoRR, 2023

InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models.
CoRR, 2023

Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers.
CoRR, 2023

Incomplete Multimodal Learning for Complex Brain Disorders Prediction.
CoRR, 2023

Prompting Language-Informed Distribution for Compositional Zero-Shot Learning.
CoRR, 2023

Backdoor Learning on Sequence to Sequence Models.
CoRR, 2023

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer.
CoRR, 2023

Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction.
CoRR, 2023

When do you need Chain-of-Thought Prompting for ChatGPT?
CoRR, 2023

Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems.
CoRR, 2023

FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging.
CoRR, 2023

A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization.
CoRR, 2023

Finding Local Minima Efficiently in Decentralized Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Solving a Class of Non-Convex Minimax Optimization in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Conditional Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimization and Bayes: A Trade-off for Overparameterized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Language Guidance Generation Using Aesthetic Attribute Comparison for Human Photography and AIGC.
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A 1.8Gb/s, 2.3pJ/bit, Crystal-Less IR-UWB Transmitter for Neural Implants.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

A Compact 16-Channel Neural Signal Recorder with Wireless Power and Data Transmission.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A Law of Robustness beyond Isoperimetry.
Proceedings of the International Conference on Machine Learning, 2023

Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Tighter Analysis for ProxSkip.
Proceedings of the International Conference on Machine Learning, 2023

Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Structural Alignment for Network Pruning through Partial Regularization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Faster Adaptive Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Decentralized Riemannian Algorithm for Nonconvex Minimax Problems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Faster Stochastic Quasi-Newton Methods.
IEEE Trans. Neural Networks Learn. Syst., 2022

Wavelet-Based Dual Recursive Network for Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst., 2022

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis.
IEEE Trans. Medical Imaging, 2022

Pseudo-Labeling and Meta Reweighting Learning for Image Aesthetic Quality Assessment.
IEEE Trans. Intell. Transp. Syst., 2022

A 2 nJ/bit, 2.3% FSK Error Fully Integrated Sub-2.4 GHz Transmitter With Duty-Cycle Controlled PA for Medical Band.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Research on the Influence of Coil LC Parallel Resonance on Detection Effect of Inductive Wear Debris Sensor.
Sensors, 2022

Evaluating scientific impact of publications: combining citation polarity and purpose.
Scientometrics, 2022

Learning multi-scale synergic discriminative features for prostate image segmentation.
Pattern Recognit., 2022

Scaling Up Generalized Kernel Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards bi-directional skip connections in encoder-decoder architectures and beyond.
Medical Image Anal., 2022

Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization.
J. Mach. Learn. Res., 2022

Multimodal Genotype and Phenotype Data Integration to Improve Partial Data-Based Longitudinal Prediction.
J. Comput. Biol., 2022

3D bi-directional transformer U-Net for medical image segmentation.
Frontiers Big Data, 2022

Adversarial Weight Perturbation Improves Generalization in Graph Neural Network.
CoRR, 2022

Towards Robust Dataset Learning.
CoRR, 2022

BI AVAN: Brain inspired Adversarial Visual Attention Network.
CoRR, 2022

FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings.
CoRR, 2022

Aesthetic Language Guidance Generation of Images Using Attribute Comparison.
CoRR, 2022

Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2.
CoRR, 2022

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.
CoRR, 2022

Functional2Structural: Cross-Modality Brain Networks Representation Learning.
CoRR, 2022

Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction.
CoRR, 2022

Distributed Dynamic Safe Screening Algorithms for Sparse Regularization.
CoRR, 2022

How Many Data Are Needed for Robust Learning?
CoRR, 2022

Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment.
CoRR, 2022

Aesthetic evaluation of Asian and Caucasian photos with overall and attribute scores.
Comput. Electr. Eng., 2022

Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction.
Proceedings of the Research in Computational Molecular Biology, 2022

MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhanced Bilevel Optimization via Bregman Distance.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reproducibility Companion Paper: Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Predicting Spatio-Temporal Human Brain Response Using fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Communication-Efficient Robust Federated Learning with Noisy Labels.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A 16-Channel Neural Recorder with 2.8 nJ/bit, 971.4 kbps sub-2.4 GHz polar transmitter.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Hierarchical Brain Embedding Using Explainable Graph Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Detached Error Feedback for Distributed SGD with Random Sparsification.
Proceedings of the International Conference on Machine Learning, 2022

RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval.
Proceedings of the International Conference on Machine Learning, 2022

On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum.
Proceedings of the International Conference on Machine Learning, 2022

A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Bregman Gradient Policy Optimization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Communication-Efficient Adam-Type Algorithms for Distributed Data Mining.
Proceedings of the IEEE International Conference on Data Mining, 2022

Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining.
Proceedings of the IEEE International Conference on Data Mining, 2022

Recover Fair Deep Classification Models via Altering Pre-trained Structure.
Proceedings of the Computer Vision - ECCV 2022, 2022

Disentangled Differentiable Network Pruning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps.
Proceedings of the Computer Vision - ECCV 2022, 2022

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Fairer Classifier via True Fairness Score Path.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Delineation of agricultural fields using Psi-Net from high-resolution remote sensing images.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

Coordinating Momenta for Cross-Silo Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning Universal Adversarial Perturbation by Adversarial Example.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Balanced Self-Paced Learning for AUC Maximization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst., 2021

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.
IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse Modal Additive Model.
IEEE Trans. Neural Networks Learn. Syst., 2021

Blind Image Clustering for Camera Source Identification via Row-Sparsity Optimization.
IEEE Trans. Multim., 2021

PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images.
IEEE Trans. Medical Imaging, 2021

Non-Greedy L21-Norm Maximization for Principal Component Analysis.
IEEE Trans. Image Process., 2021

Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images.
IEEE Trans. Image Process., 2021

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions.
IEEE Trans. Biomed. Eng., 2021

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.
Neural Networks, 2021

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.
Mach. Learn., 2021

Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity.
J. Mach. Learn. Res., 2021

Deep Large-Scale Multitask Learning Network for Gene Expression Inference.
J. Comput. Biol., 2021

An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization.
CoRR, 2021

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.
CoRR, 2021

Boundary-aware Graph Reasoning for Semantic Segmentation.
CoRR, 2021

Enhanced Bilevel Optimization via Bregman Distance.
CoRR, 2021

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform.
CoRR, 2021

AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization.
CoRR, 2021

BiAdam: Fast Adaptive Bilevel Optimization Methods.
CoRR, 2021

Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning.
CoRR, 2021

Learning Sampling Policy for Faster Derivative Free Optimization.
CoRR, 2021

Doubly Contrastive Deep Clustering.
CoRR, 2021

Data Augmentation for Object Detection via Differentiable Neural Rendering.
CoRR, 2021

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.
CoRR, 2021

A New Framework for Variance-Reduced Hamiltonian Monte Carlo.
CoRR, 2021

Double Momentum SGD for Federated Learning.
CoRR, 2021

Faster Stochastic Second Order Method for Large-Scale Machine Learning Models.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Faster Decentralized Algorithm for Nonconvex Minimax Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Underdamped Langevin MCMC Method.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Training Method for Stochastic Compositional Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Aesthetic Evaluation and Guidance for Mobile Photography.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SwitchFlow: preemptive multitasking for deep learning.
Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On the Random Conjugate Kernel and Neural Tangent Kernel.
Proceedings of the 38th International Conference on Machine Learning, 2021

Unified Fairness from Data to Learning Algorithm.
Proceedings of the IEEE International Conference on Data Mining, 2021

Finding Age Path of Self-Paced Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Exploration and Estimation for Model Compression.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Attack on Deep Cross-Modal Hamming Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Hyperbolic Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Network Pruning via Performance Maximization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Nearest Neighbor Matching for Deep Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Strategy to Optimize the Timing of Prediction Information Release for Container Ships' Operation Process.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

The use of Google Earth Engine and Geographical Detectors to monitor farmland changes in Fujian province.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Step-Ahead Error Feedback for Distributed Training with Compressed Gradient.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

On the Convergence of Communication-Efficient Local SGD for Federated Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Large-Scale Kernel Method for Vertical Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Local-Density Subspace Distributed Clustering for High-Dimensional Data.
IEEE Trans. Parallel Distributed Syst., 2020

Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model.
IEEE Trans. Neural Networks Learn. Syst., 2020

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
IEEE Trans. Medical Imaging, 2020

Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction.
IEEE Trans. Medical Imaging, 2020

Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.
IEEE Trans. Biomed. Eng., 2020

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).
IEEE Trans. Cogn. Dev. Syst., 2020

Deep-learning-based prediction of late age-related macular degeneration progression.
Nat. Mach. Intell., 2020

A Unified q-Memorization Framework for Asynchronous Stochastic Optimization.
J. Mach. Learn. Res., 2020

H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task.
CoRR, 2020

A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction.
CoRR, 2020

Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold.
CoRR, 2020

Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee.
CoRR, 2020

Periodic Stochastic Gradient Descent with Momentum for Decentralized Training.
CoRR, 2020

Adaptive Serverless Learning.
CoRR, 2020

Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization.
CoRR, 2020

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning.
CoRR, 2020

Training Faster with Compressed Gradient.
CoRR, 2020

Exploit Where Optimizer Explores via Residuals.
CoRR, 2020

Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training.
CoRR, 2020

Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images.
CoRR, 2020

Faster On-Device Training Using New Federated Momentum Algorithm.
CoRR, 2020

Large Batch Training Does Not Need Warmup.
CoRR, 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.
Brain Connect., 2020

Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Large-Scale Multi-task Learning Network for Gene Expression Inference.
Proceedings of the Research in Computational Molecular Biology, 2020

Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Faster Secure Data Mining via Distributed Homomorphic Encryption.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Sinkhorn Regression.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Sparse Shrunk Additive Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Momentum-Based Policy Gradient Methods.
Proceedings of the 37th International Conference on Machine Learning, 2020

Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
Proceedings of the 37th International Conference on Machine Learning, 2020

Fast OSCAR and OWL Regression via Safe Screening Rules.
Proceedings of the 37th International Conference on Machine Learning, 2020

Adversarial Nonnegative Matrix Factorization.
Proceedings of the 37th International Conference on Machine Learning, 2020

A Heterogeneous Spatiotemporal Network for Lightning Prediction.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Binarized Neural Network for Single Image Super Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020

Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

On the Acceleration of Deep Learning Model Parallelism With Staleness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Transferable Targeted Attack.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Discrete Model Compression With Resource Constraint for Deep Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-Scale Fusion Subspace Clustering Using Similarity Constraint.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

H<sup>2</sup>NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Safe Sample Screening for Robust Support Vector Machine.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Harmonic Mean Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2019

Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2019

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci.
IEEE Trans. Biomed. Eng., 2019

Nesting-structured nuclear norm minimization for spatially correlated matrix variate.
Pattern Recognit., 2019

Discovering hierarchical common brain networks via multimodal deep belief network.
Medical Image Anal., 2019

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.
Neurocomputing, 2019

Region and Object based Panoptic Image Synthesis through Conditional GANs.
CoRR, 2019

Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining.
CoRR, 2019

Approaching Machine Learning Fairness through Adversarial Network.
CoRR, 2019

Diversely Stale Parameters for Efficient Training of CNNs.
CoRR, 2019

Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity.
CoRR, 2019

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.
CoRR, 2019

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms.
CoRR, 2019

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking.
CoRR, 2019

Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior.
Proceedings of the World Wide Web Conference, 2019

Domain-aware Neural Model for Sequence Labeling using Joint Learning.
Proceedings of the World Wide Web Conference, 2019

Ouroboros: On Accelerating Training of Transformer-Based Language Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Curvilinear Distance Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

ProGAN: Network Embedding via Proximity Generative Adversarial Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Conditional Random Field Enhanced Graph Convolutional Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-Horizon Time Series Forecasting with Temporal Attention Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Mask-Driven Mitosis Detection In Histopathology Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

New Graph-Blind Convolutional Network for Brain Connectome Data Analysis.
Proceedings of the Information Processing in Medical Imaging, 2019

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.
Proceedings of the Information Processing in Medical Imaging, 2019

Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Demystifying Dropout.
Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Balanced Self-Paced Learning for Generative Adversarial Clustering Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cross Domain Model Compression by Structurally Weight Sharing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Large-Scale Machine Learning Algorithms for Biomedical Data Science.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

A 2Mbps sub-100µW Crystal-less RF Transmitter with Energy Harvesting for Multi-Channel Neural Signal Acquisition.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Orthogonality-Promoting Dictionary Learning via Bayesian Inference.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells.
IEEE Trans. Medical Imaging, 2018

Modeling Task fMRI Data Via Deep Convolutional Autoencoder.
IEEE Trans. Medical Imaging, 2018

Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.
Neuroinformatics, 2018

Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression.
Neuroinformatics, 2018

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol., 2018

3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation.
CoRR, 2018

Conditional generative adversarial network for gene expression inference.
Bioinform., 2018

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
Bioinform., 2018

Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Genotype-Phenotype association study via new multi-task learning model.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Session introduction.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Bilevel Distance Metric Learning for Robust Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Training Neural Networks Using Features Replay.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Temporal Correlation Structure Learning for MCI Conversion Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

New Robust Metric Learning Model Using Maximum Correntropy Criterion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Self-Paced Network Embedding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Generative Adversarial Network for Gene Expression Inference.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Latent source mining of fMRI data via deep belief network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling task fMRI data via mixture of deep expert networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Level Metric Learning via Smoothed Wasserstein Distance.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

New Balanced Active Learning Model and Optimization Algorithm.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Attributed Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Joint Generative Moment-Matching Network for Learning Structural Latent Code.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Decoupled Parallel Backpropagation with Convergence Guarantee.
Proceedings of the 35th International Conference on Machine Learning, 2018

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines.
Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

Direct Shape Regression Networks for End-to-End Face Alignment.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Large Kernel Refine Fusion Net for Neuron Membrane Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Unsupervised Deep Generative Adversarial Hashing Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Asynchronous Doubly Stochastic Group Regularized Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Direct Hashing Without Pseudo-Labels.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Asynchronous Doubly Stochastic Sparse Kernel Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification.
IEEE Trans. Medical Imaging, 2017

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
IEEE Trans. Big Data, 2017

Refined Spectral Clustering via Embedded Label Propagation.
Neural Comput., 2017

Dual discriminative local coding for tissue aging analysis.
Medical Image Anal., 2017

Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling.
Neurocomputing, 2017

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation.
Neurocomputing, 2017

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization.
CoRR, 2017

Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes.
CoRR, 2017

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization.
CoRR, 2017

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
Proceedings of the Research in Computational Molecular Biology, 2017

Regularized Modal Regression with Applications in Cognitive Impairment Prediction.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning A Structured Optimal Bipartite Graph for Co-Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Group Sparse Additive Machine.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model.
Proceedings of the Information Processing in Medical Imaging, 2017

Modeling Task fMRI Data via Deep Convolutional Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2017

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Capped Norms Minimization for Robust Matrix Recovery.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Locally-Transferred Fisher Vectors for Texture Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multiclass Capped ℓp-Norm SVM for Robust Classifications.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Semi-Supervised Classifications via Elastic and Robust Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Video Recovery via Learning Variation and Consistency of Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Local Centroids Structured Non-Negative Matrix Factorization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Convex Sparse PCA for Unsupervised Feature Learning.
ACM Trans. Knowl. Discov. Data, 2016

Non-Greedy L21-Norm Maximization for Principal Component Analysis.
CoRR, 2016

Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding.
CoRR, 2016

Clinical Information Extraction via Convolutional Neural Network.
CoRR, 2016

Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality.
CoRR, 2016

Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization.
CoRR, 2016

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction.
CoRR, 2016

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization.
CoRR, 2016

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction.
CoRR, 2016

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction.
CoRR, 2016

Structured sparse CCA for brain imaging genetics via graph OSCAR.
BMC Syst. Biol., 2016

Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors.
BMC Bioinform., 2016

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.
Bioinform., 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.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Error Analysis of Generalized Nyström Kernel Regression.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Texture analysis of tissue aging using global and cluster constrained local coding.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Latent source mining in FMRI data via deep neural network.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Learning Task Relational Structure for Multi-task Feature Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

New Robust Clustering Model for Identifying Cancer Genome Landscapes.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Performance evaluation of two magnetic recovery circuits of forward converter.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016

Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

The Constrained Laplacian Rank Algorithm for Graph-Based Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

New l1-Norm Relaxations and Optimizations for Graph Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Optimal Discrete Matrix Completion.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities.
IEEE Trans. Smart Grid, 2015

Large Margin Local Estimate With Applications to Medical Image Classification.
IEEE Trans. Medical Imaging, 2015

Feature Selection via Global Redundancy Minimization.
IEEE Trans. Knowl. Data Eng., 2015

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization.
ACM Trans. Knowl. Discov. Data, 2015

Locality-constrained Subcluster Representation Ensemble for lung image classification.
Medical Image Anal., 2015

Sparse representation of whole-brain fMRI signals for identification of functional networks.
Medical Image Anal., 2015

Joint Schatten p-norm and ℓ<sub>p</sub>-norm robust matrix completion for missing value recovery.
Knowl. Inf. Syst., 2015

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency.
J. Comput. Biol., 2015

Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers.
CoRR, 2015

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Bone texture characterization with fisher encoding of local descriptors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Discriminative Unsupervised Dimensionality Reduction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Robust Dictionary Learning with Capped l1-Norm.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Multi-view Subspace Clustering.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Factors that impact the accuracy of clustering based load forecasting.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015

Fusing subcategory probabilities for texture classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

A Closed Form Solution to Multi-View Low-Rank Regression.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Learning Robust Locality Preserving Projection via p-Order Minimization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Large-Scale Multi-View Spectral Clustering via Bipartite Graph.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Emotion Detection via Discriminant Laplacian Embedding.
Univers. Access Inf. Soc., 2014

Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies.
IEEE Trans. Medical Imaging, 2014

DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Lung Nodule Classification With Multilevel Patch-Based Context Analysis.
IEEE Trans. Biomed. Eng., 2014

Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization.
Pers. Ubiquitous Comput., 2014

A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Anal., 2014

A Convex Sparse PCA for Feature Analysis.
CoRR, 2014

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinform., 2014

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK).
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Flexible Shift-Invariant Locality and Globality Preserving Projections.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Large Margin Aggregation of Local Estimates for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Large-scale adaptive semi-supervised learning via unified inductive and transductive model.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Clustering and projected clustering with adaptive neighbors.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Optimal Mean Robust Principal Component Analysis.
Proceedings of the 31th International Conference on Machine Learning, 2014

Linear Time Solver for Primal SVM.
Proceedings of the 31th International Conference on Machine Learning, 2014

An overview of AMI data preprocessing to enhance the performance of load forecasting.
Proceedings of the 2014 IEEE Industry Application Society Annual Meeting, 2014

Video Motion Segmentation Using New Adaptive Manifold Denoising Model.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Low-Rank Tensor Completion with Spatio-Temporal Consistency.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Globally and Locally Consistent Unsupervised Projection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Convex Formulation for Semi-Supervised Multi-Label Feature Selection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Social trust prediction using heterogeneous networks.
ACM Trans. Knowl. Discov. Data, 2013

Robust Manifold Nonnegative Matrix Factorization.
ACM Trans. Knowl. Discov. Data, 2013

Toward structural sparsity: an explicit ℓ<sub>2</sub>/ℓ<sub>0</sub> approach.
Knowl. Inf. Syst., 2013

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization.
J. Comput. Biol., 2013

Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks.
J. Comput. Biol., 2013

Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling.
BMC Bioinform., 2013

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Similarity Guided Feature Labeling for Lesion Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Towards adaptive dialogue systems for assistive living environments.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.
Proceedings of the Information Processing in Medical Imaging, 2013

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations.
Proceedings of the IJCAI 2013, 2013

Early Active Learning via Robust Representation and Structured Sparsity.
Proceedings of the IJCAI 2013, 2013

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding.
Proceedings of the IJCAI 2013, 2013

Social Trust Prediction Using Rank-k Matrix Recovery.
Proceedings of the IJCAI 2013, 2013

Multi-View K-Means Clustering on Big Data.
Proceedings of the IJCAI 2013, 2013

Exact Top-k Feature Selection via l2, 0-Norm Constraint.
Proceedings of the IJCAI 2013, 2013

Multi-View Clustering and Feature Learning via Structured Sparsity.
Proceedings of the 30th International Conference on Machine Learning, 2013

Robust and Discriminative Self-Taught Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model.
Proceedings of the IEEE International Conference on Computer Vision, 2013

New Graph Structured Sparsity Model for Multi-label Image Annotations.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Supervised and Projected Sparse Coding for Image Classification.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Spectral Rotation versus K-Means in Spectral Clustering.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Robust Discrete Matrix Completion.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases.
Int. J. Heal. Inf. Syst. Informatics, 2012

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform., 2012

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
Bioinform., 2012

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinform., 2012

Joint stage recognition and anatomical annotation of <i>drosophila</i> gene expression patterns.
Bioinform., 2012

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Context Enhanced Graphical Model for Object Localization in Medical Images.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning.
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

An Iterative Locally Linear Embedding Algorithm.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Parallelization with Multiplicative Algorithms for Big Data Mining.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph.
Proceedings of the Computer Vision - ECCV 2012, 2012

Robust and discriminative distance for Multi-Instance Learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Object localization in medical images based on graphical model with contrast and interest-region terms.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Multi-label ReliefF and F-statistic feature selections for image annotation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Trust prediction via aggregating heterogeneous social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multi-Subspace Representation and Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Graph Evolution via Social Diffusion Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Cost effective depression patient thought record categorization via self-taught learning.
Proceedings of the PETRA 2011, 2011

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Maximum Margin Multi-Instance Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning frame relevance for video classification.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering.
Proceedings of the IJCAI 2011, 2011

Robust Principal Component Analysis with Non-Greedy l<sub>1</sub>-Norm Maximization.
Proceedings of the IJCAI 2011, 2011

Ball Ranking Machine for Content-Based Multimedia Retrieval.
Proceedings of the IJCAI 2011, 2011

Cluster Indicator Decomposition for Efficient Matrix Factorization.
Proceedings of the IJCAI 2011, 2011

Cauchy Graph Embedding.
Proceedings of the 28th International Conference on Machine Learning, 2011

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Multi-Class L2, 1-Norm Support Vector Machine.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Consensus spectral clustering in near-linear time.
Proceedings of the 27th International Conference on Data Engineering, 2011

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Dyadic transfer learning for cross-domain image classification.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Unsupervised and semi-supervised learning via ℓ1-norm graph.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Load model development for next generation appliances.
Proceedings of the 2011 IEEE Industry Applications Society Annual Meeting, 2011

Image annotation using bi-relational graph of images and semantic labels.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Heterogeneous image feature integration via multi-modal spectral clustering.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Robust nonnegative matrix factorization using L21-norm.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Learning Instance Specific Distance for Multi-Instance Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Linear Discriminant Analysis: New Formulations and Overfit Analysis.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
On the eigenvectors of <i>p</i>-Laplacian.
Mach. Learn., 2010

Stationary Wavelet Packet Transform and Dependent Laplacian Bivariate Shrinkage Estimator for Array-CGH Data Smoothing.
J. Comput. Biol., 2010

Solenoid and non-solenoid protein recognition using stationary wavelet packet transform.
Bioinform., 2010

Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet.
Bioinform., 2010

Directed Graph Learning via High-Order Co-linkage Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Emotion detection via discriminative kernel method.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

An interactive user interface system for Alzheimer's intervention.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Face Aging by Sparse Representation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Towards Structural Sparsity: An Explicit l2/l0 Approach.
Proceedings of the ICDM 2010, 2010

Multi-label Feature Transform for Image Classifications.
Proceedings of the Computer Vision, 2010

Image Categorization Using Directed Graphs.
Proceedings of the Computer Vision, 2010

Multi-label Linear Discriminant Analysis.
Proceedings of the Computer Vision - ECCV 2010, 2010

Discriminant Laplacian Embedding.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
An event driven framework for assistive CPS environments.
SIGBED Rev., 2009

Peak Detection in Mass Spectrometry by Gabor Filters and Envelope Analysis.
J. Bioinform. Comput. Biol., 2009

Link prediction of multimedia social network via unsupervised face recognition.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Heterogeneous Data Fusion to Type Brain Tumor Biopsies.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Non-negative Laplacian Embedding.
Proceedings of the ICDM 2009, 2009

Image annotation using multi-label correlated Green's function.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Symmetric two dimensional linear discriminant analysis (2DLDA).
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Requirements for implementation of localization into real-world assistive environments.
Proceedings of the 1st ACM International Conference on Pervasive Technologies Related to Assistive Environments, 2008

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

High dimensional statistical shape model for medical image analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Robust tensor factorization using R1 norm.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Tensor reduction error analysis - Applications to video compression and classification.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Novel Surface Registration Algorithm With Biomedical Modeling Applications.
IEEE Trans. Inf. Technol. Biomed., 2007

Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ.
Simul., 2007

A Feature Extraction Metod for Multimedia data Analysis in Robot Wireless Sensor Networks.
Proceedings of the Eighth International Workshop on Image Analysis for Multimedia Interactive Services, 2007

A garbage-collecting typed assembly language.
Proceedings of TLDI'07: 2007 ACM SIGPLAN International Workshop on Types in Languages Design and Implementation, 2007

Surface Harmonics for Shape Modeling.
Proceedings of the International Conference on Image Processing, 2007

Efficient Registration of 3D SPHARM Surfaces.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

A New Smoothing Model for Analyzing Array CGH Data.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

A New Hybrid Technique for Dermatological Image Registration.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Spatio-temporal analysis tool for modeling pulmonary nodules in MR images.
Proceedings of the Medical Imaging 2006: Visualization, 2006

Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006

A Spatio-Temporal Modeling Method for Shape Representation.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006

2005
A clustering-based approach for prediction of cardiac resynchronization therapy.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis.
Proceedings of the Advances in Informatics, 2005

Functional analysis of cardiac MR images using SPHARM modeling.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography.
Proceedings of the Medical Imaging 2005: Visualization, 2005

A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

K-means+ Method for Improving Gene Selection for Classification of Microarray Data.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

2004
Post-classification smoothing of digital classification map of St. Louis, Missouri.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2000
Custom design of facility layouts for multiproduct facilities using layout modules.
IEEE Trans. Robotics Autom., 2000


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