A Second-Order Mapping PCA Based Intrinsic Dimension Estimate for Nonlinear Time Series. - Xiaolin Huang; Xinbao Ning (ICNC (1), 2008)

Configuration of Continuous Piecewise-Linear Neural Networks. - Shuning Wang; Xiaolin Huang; Junaid M. Khan (IEEE Trans. Neural Networks, 2008)

Nonlinear model predictive control using adaptive hinging hyperplanes model. - Jun Xu 008; Xiaolin Huang; Shuning Wang (CDC, 2009)

On the Design of Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism. - Wenbin Chen 005; Caihua Xiong; Ronglei Sun; Xiaolin Huang (ICIRA, 2009)

Manipulator Workspace Boundary Extraction and Its Application in Workspace Analysis of the Human's Upper Extremity. - Wenbin Chen 005; Caihua Xiong; Xiaolin Huang; Ronglei Sun; Youlun Xiong (Adv. Robotics, 2009)

Adaptive hinging hyperplanes and its applications in dynamic system identification. - Jun Xu 008; Xiaolin Huang; Shuning Wang (Autom., 2009)

Control methods for exoskeleton rehabilitation robot driven with pneumatic muscles. - Caihua Xiong; Xianzhi Jiang; Ronglei Sun; Xiaolin Huang; Youlun Xiong (Ind. Robot, 2009)

Identification algorithm for standard continuous piecewise linear neural network. - Xiaolin Huang; Jun Xu 008; Shuning Wang (ACC, 2010)

Stability analysis of planar continuous piecewise linear systems. - Jun Xu 008; Xiaolin Huang; Shuning Wang (ACC, 2010)

Operation optimization for centrifugal chiller plants using continuous piecewise linear programming. - Xiaolin Huang; Jun Xu 008; Shuning Wang (SMC, 2010)

A neural network of smooth hinge functions. - Shuning Wang; Xiaolin Huang; Yeung Yam (IEEE Trans. Neural Networks, 2010)

Humanoid Motion Planning in the Goal Reaching Movement of Anthropomorphic Upper Limb. - Wenbin Chen 005; Caihua Xiong; Ronglei Sun; Xiaolin Huang (ICIRA (1), 2011)

A 10-Degree of Freedom Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism. - Wenbin Chen 005; Caihua Xiong; Ronglei Sun; Xiaolin Huang (Int. J. Humanoid Robotics, 2011)

Static and dynamic characteristics of rehabilitation joint powered by pneumatic muscles. - Xianzhi Jiang; Caihua Xiong; Ronglei Sun; Xiaolin Huang; Youlun Xiong (Ind. Robot, 2011)

The hill detouring method for minimizing hinging hyperplanes functions. - Xiaolin Huang; Jun Xu 008; Xiaomu Mu; Shuning Wang (Comput. Oper. Res., 2012)

Nonlinear system identification with continuous piecewise linear neural network. - Xiaolin Huang; Jun Xu 008; Shuning Wang (Neurocomputing, 2012)

Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming. - Xiaolin Huang; Jun Xu 008; Shuning Wang (J. Optim. Theory Appl., 2012)

Fixed-size Pegasos for hinge and pinball loss SVM. - Vilen Jumutc; Xiaolin Huang; Johan A. K. Suykens (IJCNN, 2013)

Support vector machines with piecewise linear feature mapping. - Xiaolin Huang; Siamak Mehrkanoon; Johan A. K. Suykens (Neurocomputing, 2013)

Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification. - Fanglin Chen 001; Xiaolin Huang; Jie Zhou 001 (IEEE Trans. Image Process., 2013)

Hinging Hyperplanes for Time-Series Segmentation. - Xiaolin Huang; Marin Matijas; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2013)

Multi-scale recurrence quantification analysis of heartbeat interval series in healthy vs. Heart failure subjects. - Chengyu Huo; Yi Lu; Xiaolin Huang; Hongxing Liu; Xinbao Ning (BMEI, 2014)

Quantile regression with ℓ 1 - regularization and Gaussian kernels. - Lei Shi 010; Xiaolin Huang; Zheng Tian; Johan A. K. Suykens (Adv. Comput. Math., 2014)

Asymmetric v-tube support vector regression. - Xiaolin Huang; Lei Shi 010; Kristiaan Pelckmans; Johan A. K. Suykens (Comput. Stat. Data Anal., 2014)

Asymmetric least squares support vector machine classifiers. - Xiaolin Huang; Lei Shi 010; Johan A. K. Suykens (Comput. Stat. Data Anal., 2014)

Non-parallel support vector classifiers with different loss functions. - Siamak Mehrkanoon; Xiaolin Huang; Johan A. K. Suykens (Neurocomputing, 2014)

Ramp loss linear programming support vector machine. - Xiaolin Huang; Lei Shi 010; Johan A. K. Suykens (J. Mach. Learn. Res., 2014)

Support Vector Machine Classifier With Pinball Loss. - Xiaolin Huang; Lei Shi 010; Johan A. K. Suykens (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Binary Reweighted l1-Norm Minimization for One-Bit Compressed Sensing. - Hui Wang; Xiaolin Huang; Yipeng Liu 001; Sabine Van Huffel; Qun Wan (BIOSIGNALS, 2015)

Pinball Loss Minimization for One-bit Compressive Sensing. - Xiaolin Huang; Lei Shi 010; Ming Yan 006; Johan A. K. Suykens (CoRR, 2015)

Sequential minimal optimization for SVM with pinball loss. - Xiaolin Huang; Lei Shi 010; Johan A. K. Suykens (Neurocomputing, 2015)

Learning with the maximum correntropy criterion induced losses for regression. - Yunlong Feng; Xiaolin Huang; Lei Shi 010; Yuning Yang; Johan A. K. Suykens (J. Mach. Learn. Res., 2015)

Two-level ℓ1 minimization for compressed sensing. - Xiaolin Huang; Yipeng Liu 001; Lei Shi 010; Sabine Van Huffel; Johan A. K. Suykens (Signal Process., 2015)

Signal recovery for jointly sparse vectors with different sensing matrices. - Li Li 013; Xiaolin Huang; Johan A. K. Suykens (Signal Process., 2015)

Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model. - Yixing Huang; Guenter Lauritsch; Mario Amrehn; Oliver Taubmann; Viktor Haase; Daniel Stromer; Xiaolin Huang; Andreas K. Maier (Bildverarbeitung für die Medizin, 2016)

Attention state assessment by analyzing electroencephalograph signals. - Junchang Zhao; Xiaolin Huang; Jun Wang (CISP-BMEI, 2016)

Cost-sensitive sparse linear regression for crowd counting with imbalanced training data. - Xiaolin Huang; Yuexian Zou; Yi Wang 033 (ICME, 2016)

Example-based visual object counting with a sparsity constraint. - Yi Wang 033; Yuexian Zou; Jin Chen; Xiaolin Huang; Cheng Cai (ICME, 2016)

A new weighted anisotropic total variation algorithm for limited angle tomography. - Yixing Huang; Oliver Taubmann; Xiaolin Huang; Viktor Haase; Günter Lauritsch; Andreas K. Maier (ISBI, 2016)

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. - Yunlong Feng; Yuning Yang; Xiaolin Huang; Siamak Mehrkanoon; Johan A. K. Suykens (Neural Comput., 2016)

Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines. - Xiangming Xi; Xiaolin Huang; Johan A. K. Suykens; Shuning Wang (Neural Process. Lett., 2016)

Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems. - Yuning Yang; Yunlong Feng; Xiaolin Huang; Johan A. K. Suykens (SIAM J. Optim., 2016)

Multiple Gaussian graphical estimation with jointly sparse penalty. - Qinghua Tao; Xiaolin Huang; Shuning Wang; Xiangming Xi; Li Li 013 (Signal Process., 2016)

Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization. - Thomas Köhler 004; Xiaolin Huang; Frank Schebesch; André Aichert; Andreas K. Maier; Joachim Hornegger (IEEE Trans. Computational Imaging, 2016)

Overexposure Correction by Mixed One-Bit Compressive Sensing for C-Arm CT. - Xiaolin Huang; Yan Xia 002; Yixing Huang; Joachim Hornegger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Self-paced least square semi-coupled dictionary learning for person re-identification. - Wei Xu 050; Haoyuan Chi; Lei Zhou 003; Xiaolin Huang; Jie Yang 002 (ICIP, 2017)

Robust Kernel Approximation for Classification. - Fanghui Liu 001; Xiaolin Huang; Cheng Peng 004; Jie Yang 002; Nikola K. Kasabov (ICONIP (1), 2017)

A New Bayesian Method for Jointly Sparse Signal Recovery. - Haiyan Yang; Xiaolin Huang; Cheng Peng 004; Jie Yang 002; Li Li 013 (ICONIP (4), 2017)

Indefinite Kernel Logistic Regression. - Fanghui Liu 001; Xiaolin Huang; Jie Yang 002 (ACM Multimedia, 2017)

Sheet metal forming limits as classification problem. - Christian Jaremenko; Xiaolin Huang; Emanuela Affronti; Marion Merklein; Andreas K. Maier (MVA, 2017)

Data-driven robust optimization based on kernel learning. - Chao Shang 002; Xiaolin Huang; Fengqi You (Comput. Chem. Eng., 2017)

Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. - Xiaolin Huang; Yan Xia 002; Lei Shi 010; Yixing Huang; Ming Yan 006; Joachim Hornegger; Andreas K. Maier (CoRR, 2017)

Non-convex Penalties with Analytical Solutions for One-bit Compressive Sensing. - Xiaolin Huang; Ming Yan 006 (CoRR, 2017)

Online Robust Principal Component Analysis with Change Point Detection. - Wei Xiao 001; Xiaolin Huang; Jorge Silva 002; Saba Emrani; Arin Chaudhuri (CoRR, 2017)

Scale-Space Anisotropic Total Variation for Limited Angle Tomography. - Yixing Huang; Oliver Taubmann; Xiaolin Huang; Viktor Haase; Guenter Lauritsch; Andreas K. Maier (CoRR, 2017)

Robust kernel canonical correlation analysis with applications to information retrieval. - Jia Cai; Xiaolin Huang (Eng. Appl. Artif. Intell., 2017)

Adaptive block coordinate DIRECT algorithm. - Qinghua Tao; Xiaolin Huang; Shuning Wang; Li Li 013 (J. Glob. Optim., 2017)

Efficient and Robust Corner Detectors Based on Second-Order Difference of Contour. - Xinyu Lin; Ce Zhu; Qian Zhang 047; Xiaolin Huang; Yipeng Liu 001 (IEEE Signal Process. Lett., 2017)

Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction. - Yipeng Liu 001; Shan Wu; Xiaolin Huang; Bing Chen; Ce Zhu (IEEE Trans. Medical Imaging, 2017)

Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model. - Jian Wang 009; Roman Schaffert; Anja Borsdorf; Benno Heigl; Xiaolin Huang; Joachim Hornegger; Andreas K. Maier (IEEE Trans. Medical Imaging, 2017)

Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values. - Xiaolin Huang; Lei Shi 010; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2017)

Nonlinear Pairwise Layer and Its Training for Kernel Learning. - Fanghui Liu 001; Xiaolin Huang; Chen Gong 002; Jie Yang 002; Li Li 013 (AAAI, 2018)

Non-destructive Digitization of Soiled Historical Chinese Bamboo Scrolls. - Daniel Stromer; Vincent Christlein; Andreas K. Maier; Patrick Zippert; Eric Helmecke; Tino Hausotte; Xiaolin Huang (DAS, 2018)

Review on One-Bit Compressive Sensing and its Biomedical Applications. - Xiao Han; Haiyan Yang; Xiaolin Huang (DSP, 2018)

Privileged Semi-Supervised Learning. - Xingyu Chen; Chen Gong 002; Chao Ma 005; Xiaolin Huang; Jie Yang 002 (ICIP, 2018)

Discrete Locally-Linear Preserving Hashing. - Xiang Li 041; Chao Ma 005; Jie Yang 002; Xiaolin Huang (ICIP, 2018)

Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. - Hao Zheng 008; Yun Gu; Yulei Qin; Xiaolin Huang; Jie Yang 002; Guang-Zhong Yang (MICCAI (2), 2018)

New Motion Estimation with Angular-Distance Median Filter for Frame Interpolation. - HuangKai Cai; He Jiang; Xiaolin Huang; Jie Yang 002 (PRCV (1), 2018)

Violence Detection Based on Spatio-Temporal Feature and Fisher Vector. - HuangKai Cai; He Jiang; Xiaolin Huang; Jie Yang 002; Xiangjian He (PRCV (1), 2018)

Deep Supervised Auto-encoder Hashing for Image Retrieval. - Sanli Tang; Haoyuan Chi; Jie Yang 002; Xiaolin Huang; Masoumeh Zareapoor (PRCV (2), 2018)

Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition. - Weifeng Li 004; Yuxiaotong Shen; Jie Zhang; Xiaolin Huang; Ying Chen 006; Yun Ge (Comput. Math. Methods Medicine, 2018)

Edge-Preserving Piecewise Linear Image Smoothing Using Piecewise Constant Filters. - Wei Liu 044; Wei Xu 050; Xiaogang Chen; Xiaolin Huang; Chunhua Shen; Jie Yang 002 (CoRR, 2018)

Learning Data-adaptive Nonparametric Kernels. - Fanghui Liu 001; Xiaolin Huang; Chen Gong 002; Jie Yang 002; Li Li 013 (CoRR, 2018)

Adversarial Attack Type I: Generating False Positives. - Sanli Tang; Xiaolin Huang; Mingjian Chen; Jie Yang 002 (CoRR, 2018)

Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions. - Fanghui Liu 001; Lei Shi 010; Xiaolin Huang; Jie Yang 002; Johan A. K. Suykens (CoRR, 2018)

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. - Yulei Qin; Ning Song; Hao Zheng 008; Xiaolin Huang; Jie Yang 002; Yue-Min Zhu; Guang-Zhong Yang (CoRR, 2018)

Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms. - Xiaolin Huang; Lei Shi 010; Ming Yan 006; Johan A. K. Suykens (Neurocomputing, 2018)

Multi-modal self-paced learning for image classification. - Wei Xu 050; Wei Liu 044; Xiaolin Huang; Jie Yang 002; Song Qiu (Neurocomputing, 2018)

A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot. - Mingming Zhang 001; Jinghui Cao; Sheng Quan Xie; Guoli Zhu; Xiangfeng Zeng; Xiaolin Huang; Qun Xu (J. Intell. Robotic Syst., 2018)

Indefinite kernel spectral learning. - Siamak Mehrkanoon; Xiaolin Huang; Johan A. K. Suykens (Pattern Recognit., 2018)

Postural synergy based design of exoskeleton robot replicating human arm reaching movements. - Kai Liu; Caihua Xiong; Lei He; Wen-Bin Chen 005; Xiaolin Huang (Robotics Auton. Syst., 2018)

Nonconvex penalties with analytical solutions for one-bit compressive sensing. - Xiaolin Huang; Ming Yan 006 (Signal Process., 2018)

Multi-task classification with sequential instances and tasks. - Wei Xu 050; Wei Liu 044; Haoyuan Chi; Xiaolin Huang; Jie Yang 002 (Signal Process. Image Commun., 2018)

Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties. - Fan He; Xiaolin Huang; Yipeng Liu 001; Ming Yan 006 (IEEE Signal Process. Lett., 2018)

Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) With Enhanced Training Safety. - Mingming Zhang 001; Sheng Quan Xie; Xiaolong Li; Guoli Zhu; Wei Meng 003; Xiaolin Huang; Allan J. Veale (IEEE Trans. Ind. Electron., 2018)

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. - Fanghui Liu 001; Chen Gong 002; Xiaolin Huang; Tao Zhou 002; Jie Yang 002; Dacheng Tao (IEEE Trans. Image Process., 2018)

Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties. - Jia Cai; Xiaolin Huang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Classification With Truncated $ ell _{1}$ Distance Kernel. - Xiaolin Huang; Johan A. K. Suykens; Shuning Wang; Joachim Hornegger; Andreas K. Maier (IEEE Trans. Neural Networks Learn. Syst., 2018)

Using Features Extracted From Vital Time Series for Early Prediction of Sepsis. - Qiang Yu; Xiaolin Huang; Weifeng Li 004; Cheng Wang; Ying Chen 006; Yun Ge (CinC, 2019)

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. - Yixing Huang; Alexander Preuhs; Günter Lauritsch; Michael Manhart 001; Xiaolin Huang; Andreas Maier 001 (MLMIR@MICCAI, 2019)

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. - Yulei Qin; Mingjian Chen; Hao Zheng 008; Yun Gu; Mali Shen; Jie Yang 002; Xiaolin Huang; Yue-Min Zhu; Guang-Zhong Yang (MICCAI (6), 2019)

Sparse Indefinite Kernel Learning on Sphere. - Jiaxuan Xie; Fanghui Liu 001; Xiaolin Huang; Jie Yang 002 (Aust. J. Intell. Inf. Process. Syst., 2019)

Online PCB Defect Detector On A New PCB Defect Dataset. - Sanli Tang; Fan He; Xiaolin Huang; Jie Yang 002 (CoRR, 2019)

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. - Wei Liu 044; Pingping Zhang; Xiaolin Huang; Jie Yang 002; Chunhua Shen; Ian D. Reid 001 (CoRR, 2019)

Deep Kernel Learning via Random Fourier Features. - Jiaxuan Xie; Fanghui Liu 001; Kaijie Wang; Xiaolin Huang (CoRR, 2019)

DAmageNet: A Universal Adversarial Dataset. - Sizhe Chen; Xiaolin Huang; Zhengbao He; Chengjin Sun (CoRR, 2019)

Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection. - Tianshu Chu; Qin Luo; Jie Yang 002; Xiaolin Huang (CoRR, 2019)

A liver fibrosis staging method using cross-contrast network. - Yudan Huang; Ying Chen 006; Haochuan Zhu; Weifeng Li 004; Yun Ge; Xiaolin Huang; Jian He (Expert Syst. Appl., 2019)

Guest Editorial introduction to the Focused section on wearable sensors, actuators, and robots for rehabilitation. - Shane S. Q. Xie; Samit Chakrabarty; Jen-Yuan (James) Chang; Chao-Chieh Lan; Xiaolin Huang; Andrew McDaid (Int. J. Intell. Robotics Appl., 2019)

Sparse Kernel Regression with Coefficient-based $ ell_q-$regularization. - Lei Shi 010; Xiaolin Huang; Yunlong Feng; Johan A. K. Suykens (J. Mach. Learn. Res., 2019)

Robust mixed one-bit compressive sensing. - Xiaolin Huang; Haiyan Yang; Yixing Huang; Lei Shi 010; Fan He; Andreas K. Maier; Ming Yan 006 (Signal Process., 2019)

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. - Yulei Qin; Juan Wen; Hao Zheng 008; Xiaolin Huang; Jie Yang 002; Ning Song; Yue-Min Zhu; Lingqian Wu; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2019)

Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure. - Fanghui Liu 001; Xiaolin Huang; Chen Gong 002; Jie Yang 002; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2019)

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. - Fanghui Liu 001; Xiaolin Huang; Yudong Chen 001; Jie Yang 002; Johan A. K. Suykens (AAAI, 2020)

A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. - Wei Liu 044; Pingping Zhang; Yinjie Lei; Xiaolin Huang; Jie Yang 002; Ian D. Reid 001 (AAAI, 2020)

A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. - Fan He; Sanli Tang; Siamak Mehrkanoon; Xiaolin Huang; Jie Yang 002 (ESANN, 2020)

Learning from partially labeled data. - Siamak Mehrkanoon; Xiaolin Huang; Johan A. K. Suykens (ESANN, 2020)

Type I Attack For Generative Models. - Chengjin Sun; Sizhe Chen; Jia Cai; Xiaolin Huang (ICIP, 2020)

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. - Jiehui Deng; Sheng Wan; Xiang Wang; Enmei Tu; Xiaolin Huang; Jie Yang 002; Chen Gong 002 (ICPR, 2020)

Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation. - Zifei Wang; Xiaolin Huang; Jie Yang 002; Nikola K. Kasabov (IEEE Conf. on Intelligent Systems, 2020)

Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. - Yulei Qin; Hao Zheng 008; Yun Gu; Xiaolin Huang; Jie Yang 002; Lihui Wang 002; Yue-Min Zhu (MICCAI (1), 2020)

SCCNN: A Diagnosis Method for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Siamese Cross Contrast Neural Network. - Qiyuan Wang; Zhongmin Wang; Yu Sun; Xin Zhang; Weifeng Li 004; Yun Ge; Xiaolin Huang; Yun Liu 020; Ying Chen 006 (IEEE Access, 2020)

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. - Sizhe Chen; Zhengbao He; Chengjin Sun; Xiaolin Huang (CoRR, 2020)

Generate High-Resolution Adversarial Samples by Identifying Effective Features. - Sizhe Chen; Peidong Zhang; Chengjin Sun; Jia Cai; Xiaolin Huang (CoRR, 2020)

Double Backpropagation for Training Autoencoders against Adversarial Attack. - Chengjin Sun; Sizhe Chen; Xiaolin Huang (CoRR, 2020)

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. - Tianyi Zhang; Yun Gu; Xiaolin Huang; Enmei Tu; Jie Yang 002 (CoRR, 2020)

Adversarial Imitation Attack. - Mingyi Zhou; Jing Wu 021; Yipeng Liu 001; Xiaolin Huang; Shuaicheng Liu; Xiang Zhang 006; Ce Zhu (CoRR, 2020)

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach. - Jia Cai; Kexin Lv; Junyi Huo; Xiaolin Huang; Jie Yang 002 (CoRR, 2020)

A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis. - Fan He; Xiaolin Huang; Kexin Lv; Jie Yang 002 (CoRR, 2020)

Generalizing Random Fourier Features via Generalized Measures. - Fanghui Liu 001; Xiaolin Huang; Yingyi Chen; Johan A. K. Suykens (CoRR, 2020)

Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces. - Fanghui Liu 001; Lei Shi 010; Xiaolin Huang; Jie Yang 002; Johan A. K. Suykens (CoRR, 2020)

Attack on Multi-Node Attention for Object Detection. - Sizhe Chen; Fan He; Xiaolin Huang; Kun Zhang 001 (CoRR, 2020)

Learn Robust Features via Orthogonal Multi-Path. - Kun Fang 004; Yingwen Wu; Tao Li 054; Xiaolin Huang; Jie Yang 002 (CoRR, 2020)

Learning in-place residual homogeneity for single image detail enhancement. - He Jiang; Mujtaba Asad; Xiaolin Huang; Jie Yang 002 (J. Electronic Imaging, 2020)

Learning Data-adaptive Non-parametric Kernels. - Fanghui Liu 001; Xiaolin Huang; Chen Gong 002; Jie Yang 002; Li Li 013 (J. Mach. Learn. Res., 2020)

Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. - Wei Liu 044; Pingping Zhang; Xiaogang Chen; Chunhua Shen; Xiaolin Huang; Jie Yang 002 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Toward Making Unsupervised Graph Hashing Discriminative. - Chao Ma 005; Chen Gong 002; Xiang Li 041; Xiaolin Huang; Wei Liu 005; Jie Yang 002 (IEEE Trans. Multim., 2020)

Online Robust Principal Component Analysis With Change Point Detection. - Wei Xiao 001; Xiaolin Huang; Fan He; Jorge Silva 002; Saba Emrani; Arin Chaudhuri (IEEE Trans. Multim., 2020)

A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels. - Fanghui Liu 001; Xiaolin Huang; Lei Shi 010; Jie Yang 002; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2020)

Real-time Image Smoothing via Iterative Least Squares. - Wei Liu 044; Pingping Zhang; Xiaolin Huang; Jie Yang 002; Chunhua Shen; Ian Reid 001 (ACM Trans. Graph., 2020)

Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures. - Fanghui Liu 001; Xiaolin Huang; Yingyi Chen; Johan A. K. Suykens (AISTATS, 2021)

Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. - Jintian Xu; Chengjin Sun; Yixing Huang; Xiaolin Huang (Bildverarbeitung für die Medizin, 2021)

Temperature Control-based FCS-MPC of Traction Converters*. - Tao Peng 010; Xiaolin Huang; Chao Yang 017; Zhiwen Chen 001; Qiang Liu 018; Xinyu Fan (CAA SAFEPROCESS, 2021)

CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation. - Qi Xu; Yinan Ma; Jing Wu 006; Chengnian Long; Xiaolin Huang (ICCVW, 2021)

Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. - Tianshu Chu; Zuopeng Yang; Jie Yang 002; Xiaolin Huang (ICIP, 2021)

ADVMIX: Data Augmentation for Accurate Scene Text Spotting. - Yizhang Huang; Kun Fang 004; Xiaolin Huang; Jie Yang 002 (ICIP, 2021)

Residual Enhanced Multi-Hypergraph Neural Network. - Jing Huang; Xiaolin Huang; Jie Yang 002 (ICIP, 2021)

Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. - Qin Luo; Kun Fang 004; Jie Yang 002; Xiaolin Huang (IJCNN, 2021)

Asymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation. - Chunyu Dong; Qunfei Zhao; Kun Chen; Xiaolin Huang (ISBI, 2021)

Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training. - Fan He; Sizhe Chen; Shuaiyi Li; Lu Zhou; Haiqin Zhang; Haixia Peng; Xiaolin Huang (ISBI, 2021)

Intensive Care Unit False Alarm Identification Based on Convolution Neural Network. - Qiang Yu; Cheng Wang; Jing Xi; Ying Chen 006; Weifeng Li 004; Yun Ge; Xiaolin Huang (IEEE Access, 2021)

Going Far Boosts Attack Transferability, but Do Not Do It. - Sizhe Chen; Qinghua Tao; Zhixing Ye; Xiaolin Huang (CoRR, 2021)

Train Deep Neural Networks in 40-D Subspaces. - Tao Li 054; Lei Tan; Qinghua Tao; Yipeng Liu 001; Xiaolin Huang (CoRR, 2021)

Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel. - Lei Tan; Shutong Wu; Xiaolin Huang (CoRR, 2021)

QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. - Sizhe Chen; Zhehao Huang; Qinghua Tao; Xiaolin Huang (CoRR, 2021)

Dominant Patterns: Critical Features Hidden in Deep Neural Networks. - Zhixing Ye; Shaofei Qin; Sizhe Chen; Xiaolin Huang (CoRR, 2021)

Adaptive Feature Alignment for Adversarial Training. - Tao Wang; Ruixin Zhang; Xingyu Chen; Kai Zhao; Xiaolin Huang; Yuge Huang; Shaoxin Li 001; Jilin Li; Feiyue Huang (CoRR, 2021)

Semi-tensor Product-based TensorDecomposition for Neural Network Compression. - Hengling Zhao; Yipeng Liu 001; Xiaolin Huang; Ce Zhu (CoRR, 2021)

Generalization Properties of hyper-RKHS and its Applications. - Fanghui Liu 001; Lei Shi 010; Xiaolin Huang; Jie Yang 002; Johan A. K. Suykens (J. Mach. Learn. Res., 2021)

Analysis of regularized least-squares in reproducing kernel Kreĭn spaces. - Fanghui Liu 001; Lei Shi 010; Xiaolin Huang; Jie Yang 002; Johan A. K. Suykens (Mach. Learn., 2021)

Adversarial Attack Type I: Cheat Classifiers by Significant Changes. - Sanli Tang; Xiaolin Huang; Mingjian Chen; Chengjin Sun; Jie Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Mixed-precision quantized neural networks with progressively decreasing bitwidth. - Tianshu Chu; Qin Luo; Jie Yang 002; Xiaolin Huang (Pattern Recognit., 2021)

One-Shot Distributed Algorithm for PCA With RBF Kernels. - Fan He; Kexin Lv; Jie Yang 002; Xiaolin Huang (IEEE Signal Process. Lett., 2021)

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. - Yulei Qin; Hao Zheng 008; Yun Gu; Xiaolin Huang; Jie Yang 002; Lihui Wang 002; Feng Yao; Yue-Min Zhu; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2021)

Universal Adversarial Perturbation Generated by Using Attention Information. - Zifei Wang; Xiaolin Huang; Jie Yang 002; Nikola K. Kasabov (Advances in Intelligent Systems Research and Innovation, 2022)

Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. - Shuai You; Xiaolin Huang; Li Xing; Youlian Pan; Xuekui Zhang (CIBCB, 2022)

Subspace Adversarial Training. - Tao Li 054; Yingwen Wu; Sizhe Chen; Kun Fang 004; Xiaolin Huang (CVPR, 2022)

PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. - Yu Zhang; Junle Yu; Xiaolin Huang; Wenhui Zhou 001; Ji Hou (ECCV (10), 2022)

One-shot Distributed Algorithm for Generalized Eigenvalue Problem. - Kexin Lv; Zheng Sun; Fan He; Xiaolin Huang; Jie Yang 002 (ICCAI, 2022)

Mutual Diverse-Label Adversarial Training. - Mingzhe Li; Sizhe Chen; Xiaolin Huang (ICONIP (1), 2022)

Scheme And Dataset for Evaluating Computer-Aided Polyp Detection System in Colonoscopy. - Leyu Yao; Fan He; Xiaofeng Wang; Lu Zhou; Haixia Peng; Xiaolin Huang (ISBI, 2022)

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. - Sizhe Chen; Zhehao Huang; Qinghua Tao; Yingwen Wu; Cihang Xie; Xiaolin Huang (NeurIPS, 2022)

Disparity-constrained stereo endoscopic image super-resolution. - Tianyi Zhang; Yun Gu; Xiaolin Huang; Jie Yang 002; Guang-Zhong Yang (Int. J. Comput. Assist. Radiol. Surg., 2022)

Bubble transfer spectral entropy and its application in epilepsy EEG analysis. - Yujia Mi; Aijing Lin; Danlei Gu; Xiyun Zhang; Xiaolin Huang (Commun. Nonlinear Sci. Numer. Simul., 2022)

Trainable Weight Averaging for Fast Convergence and Better Generalization. - Tao Li 054; Zhehao Huang; Qinghua Tao; Yingwen Wu; Xiaolin Huang (CoRR, 2022)

Piecewise Linear Neural Networks and Deep Learning. - Qinghua Tao; Li Li 013; Xiaolin Huang; Xiangming Xi; Shuning Wang; Johan A. K. Suykens (CoRR, 2022)

WPPG Net: A Non-contact Video Based Heart Rate Extraction Network Framework with Compatible Training Capability. - Weiyu Sun; Xinyu Zhang; Ying Chen; Yun Ge; Chunyu Ji; Xiaolin Huang (CoRR, 2022)

Efficient Generalization Improvement Guided by Random Weight Perturbation. - Tao Li 054; Weihao Yan; Zehao Lei; Yingwen Wu; Kun Fang 004; Ming Yang; Xiaolin Huang (CoRR, 2022)

Safety and Feasibility of a Novel Exoskeleton for Locomotor Rehabilitation of Subjects With Spinal Cord Injury: A Prospective, Multi-Center, and Cross-Over Clinical Trial. - Sijing Chen; Zhanbin Wang; Yongqiang Li; Jiashuai Tang; Xue Wang; Liping Huang; Zhuangwei Fang; Tao Xu; Jiang Xu; Feng Guo; Yizhao Wang; Jianjun Long; et al. (Frontiers Neurorobotics, 2022)

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. - Sizhe Chen; Zhengbao He; Chengjin Sun; Jie Yang 002; Xiaolin Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. - Fanghui Liu 001; Xiaolin Huang; Yudong Chen 001; Johan A. K. Suykens (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. - Fanghui Liu 001; Xiaolin Huang; Yudong Chen 001; Johan A. K. Suykens (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. - Wei Liu 044; Pingping Zhang; Yinjie Lei; Xiaolin Huang; Jie Yang 002; Michael Ng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Relevance attack on detectors. - Sizhe Chen; Fan He; Xiaolin Huang; Kun Zhang 001 (Pattern Recognit., 2022)

DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification. - Jingzheng Tu; Cailian Chen; Xiaolin Huang; Jianping He 001; Xinping Guan (Pattern Recognit., 2022)

Multivariate uncertain risk aversion with application to accounts receivables pricing. - Ke Wang 004; Xiaolin Huang; Shuang Hu; Hongwei Wang 009; Mingxuan Zhao; Jian Zhou 003 (Soft Comput., 2022)

Unsupervised Image Restoration With Quality-Task-Perception Loss. - Wei Xu 050; Xinyuan Chen; Haoming Guo; Xiaolin Huang; Wei Liu 044 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling. - Tingman Yan; Xiaolin Huang; Qunfei Zhao (IEEE Trans. Image Process., 2022)

Adaptive Temporal-Frequency Network for Time-Series Forecasting. - Zhangjing Yang; Weiwu Yan; Xiaolin Huang; Lin Mei 001 (IEEE Trans. Knowl. Data Eng., 2022)

Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification. - Yun Gu; Yunze Xu; Xiaolin Huang; Jie Yang 002; Wei Xue; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2022)

Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. - Ruiqi Ding; Tao Li; Xiaolin Huang (ACML, 2023)

Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. - Yu Chen 072; Chao Shang 002; Xiaolin Huang; Xiang Yin 003 (CDC, 2023)

Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. - Zhengbao He; Tao Li; Sizhe Chen; Xiaolin Huang (CVPR Workshops, 2023)

Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. - Sizhe Chen; Qinghua Tao; Zhixing Ye; Xiaolin Huang (ICASSP, 2023)

Design and Analysis of Secure Localization Against Vulnerability-Induced Attack for Internet of Things. - Guanghui Wang 003; Xiaolin Huang; Xueyuan Zhang; Geyuan Liu; Fang Zuo (ICCC Workshops, 2023)

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. - Sizhe Chen; Geng Yuan; Xinwen Cheng; Yifan Gong 004; Minghai Qin; Yanzhi Wang; Xiaolin Huang (ICLR, 2023)

Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. - Tao Li 054; Zhehao Huang; Qinghua Tao; Yingwen Wu; Xiaolin Huang (ICLR, 2023)

One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. - Shutong Wu; Sizhe Chen; Cihang Xie; Xiaolin Huang (ICLR, 2023)

Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. - Tianyao Wang; Fan He; Ruikai Yang; Zhixing Ye; Xiaolin Huang (IJCNN, 2023)

FG-UAP: Feature-Gathering Universal Adversarial Perturbation. - Zhixing Ye; Xinwen Cheng; Xiaolin Huang (IJCNN, 2023)

Resolve Domain Conflicts for Generalizable Remote Physiological Measurement. - Weiyu Sun; Xinyu Zhang; Hao Lu 009; Ying Chen 006; Yun Ge; Xiaolin Huang; Jie Yuan; Yingcong Chen (ACM Multimedia, 2023)

Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. - Jiquan Zhong; Xiaolin Huang; Xiao Yu 002 (ACM Multimedia, 2023)

Diffusion Representation for Asymmetric Kernels via Magnetic Transform. - Mingzhen He; Fan He; Ruikai Yang; Xiaolin Huang (NeurIPS, 2023)

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. - Xiaolin Huang; Mengke Li 001; Yang Lu 009; Hanzi Wang (PRCV (9), 2023)

PCR-CG: Point Cloud Registration via Deep Color and Geometry. - Yu Zhang; Junle Yu; Xiaolin Huang; Wenhui Zhou 001; Ji Hou (CoRR, 2023)

Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs. - Jiani Liu 002; Qinghua Tao; Ce Zhu; Yipeng Liu 001; Xiaolin Huang; Johan A. K. Suykens (CoRR, 2023)

Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. - Fan He; Mingzhen He; Lei Shi 010; Xiaolin Huang; Johan A. K. Suykens (CoRR, 2023)

Weighted neural tangent kernel: a generalized and improved network-induced kernel. - Lei Tan; Shutong Wu; Wenxing Zhou; Xiaolin Huang (Mach. Learn., 2023)

End-to-end kernel learning via generative random Fourier features. - Kun Fang 004; Fanghui Liu 001; Xiaolin Huang; Jie Yang 002 (Pattern Recognit., 2023)

Learning non-parametric kernel via matrix decomposition for logistic regression. - Kaijie Wang; Fan He; Mingzhen He; Xiaolin Huang (Pattern Recognit. Lett., 2023)

Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. - Tao Li 054; Lei Tan; Zhehao Huang; Qinghua Tao; Yipeng Liu 001; Xiaolin Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau. - Juanjuan Sun; Xueliang Wang; Songfeng Guo; Haiyang Liu; Yu Zou; Xianglong Yao; Xiaolin Huang; Shengwen Qi (Remote. Sens., 2023)

Learning With Asymmetric Kernels: Least Squares and Feature Interpretation. - Mingzhen He; Fan He; Lei Shi 010; Xiaolin Huang; Johan A. K. Suykens (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving adversarial robustness through a curriculum-guided reliable distillation. - Jiawen Li; Kun Fang 004; Xiaolin Huang; Jie Yang 002 (Comput. Secur., 2023)

An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet. - Changhe Zhang; Yangan Li; Zidong Yu; Xiaolin Huang; Jiang Xu; Chao Deng (Expert Syst. Appl., 2023)

ADSP: An adaptive sample pooling strategy for diagnostic testing. - Xuekui Zhang; Xiaolin Huang; Li Xing (J. Biomed. Informatics, 2023)

Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. - Tianshu Chu; Kun Fang 004; Jie Yang 002; Xiaolin Huang (Pattern Recognit. Lett., 2023)

Unifying Gradients to Improve Real-World Robustness for Deep Networks. - Yingwen Wu; Sizhe Chen; Kun Fang 004; Xiaolin Huang (ACM Trans. Intell. Syst. Technol., 2023)

Progressive Stepwise Diffusion Model with Dual Decoders for Semi-Supervised Medical Image Segmentation. - Xiaolin Huang; Jingchun Lin; Jiacheng Chen; Xiao Ma; Bingzhi Chen; Guangming Lu 002 (BIBM, 2024)

Quantifying the Nonlinear Dynamic Complexity of Cognitive EEG by Conditional Entropy Based on Different Entropy Measures. - Wei Lu; Jiaqi Yu; Jie Ding; Jilong Chen; Yulong Liu; Jiahui Lv; Xiaolin Huang; Jun Wang (CISP-BMEI, 2024)

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning. - Xinyu Geng; Jiaming Wang; Jiawei Gong; Yuerong Xue; Jun Xu 008; Fanglin Chen 001; Xiaolin Huang (CVPR, 2024)

Friendly Sharpness-Aware Minimization. - Tao Li; Pan Zhou; Zhengbao He; Xinwen Cheng; Xiaolin Huang (CVPR, 2024)

Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. - Tao Li; Weisen Jiang; Fanghui Liu 001; Xiaolin Huang; James T. Kwok (ECCV (65), 2024)

Phase Retrieval by Tensor Total Least Squares. - Jiani Liu 002; Ce Zhu; Yang Chen; Xiaolin Huang; Yipeng Liu 001 (ICASSP, 2024)

Efficient Black-Box Adversarial Attack on Deep Clustering Models. - Nan Yang; Zihan Li; Zhen Long; Xiaolin Huang; Ce Zhu; Yipeng Liu 001 (ICIP, 2024)

Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation. - Xiaolin Huang; Biqing Zeng; Jiahui Pan; Yujiang Yao; Zheng Zhou; Bingzhi Chen (ICME, 2024)

Enhancing Semi-supervised Medical Image Segmentation with Asymmetric and Adversarial Cooperative Training. - Xiaolin Huang; Binzhi Chen; Jiacheng Chen; Jingchun Lin; Ruihua Nie; Jun Liang (ICONIP (8), 2024)

Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification. - Zhilong Xiong; Jia Cai; Ranhui Yan; Xiaolin Huang (IJCNN, 2024)

Kernel PCA for Out-of-Distribution Detection. - Kun Fang 004; Qinghua Tao; Kexin Lv; Mingzhen He; Xiaolin Huang; Jie Yang 002 (NeurIPS, 2024)

Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. - Zhehao Huang; Xinwen Cheng; JingHao Zheng; Haoran Wang; Zhengbao He; Tao Li; Xiaolin Huang (NeurIPS, 2024)

Learn What You Need in Personalized Federated Learning. - Kexin Lv; Rui Ye 001; Xiaolin Huang; Jie Yang 002; Siheng Chen (CoRR, 2024)

Machine Unlearning by Suppressing Sample Contribution. - Xinwen Cheng; Zhehao Huang; Xiaolin Huang (CoRR, 2024)

Inverse-Free Fast Natural Gradient Descent Method for Deep Learning. - Xinwei Ou; Ce Zhu; Xiaolin Huang; Yipeng Liu 001 (CoRR, 2024)

Friendly Sharpness-Aware Minimization. - Tao Li; Pan Zhou 002; Zhengbao He; Xinwen Cheng; Xiaolin Huang (CoRR, 2024)

Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method. - Ruikai Yang; Fan He; Mingzhen He; Kaijie Wang; Xiaolin Huang (CoRR, 2024)

Towards Natural Machine Unlearning. - Zhengbao He; Tao Li; Xinwen Cheng; Zhehao Huang; Xiaolin Huang (CoRR, 2024)

Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning. - Fan He; Mingzhen He; Lei Shi 010; Xiaolin Huang; Johan A. K. Suykens (CoRR, 2024)

DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection. - Kun Fang 004; Qinghua Tao; Zuopeng Yang; Xiaolin Huang; Jie Yang 002 (CoRR, 2024)

Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape. - Tao Li; Zhengbao He; Yujun Li; Yasheng Wang; Lifeng Shang; Xiaolin Huang (CoRR, 2024)

MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes. - Ruikai Yang; Mingzhen He; Zhengbao He; Youmei Qiu; Xiaolin Huang (CoRR, 2024)

Boosting certified robustness via an expectation-based similarity regularization. - Jiawen Li; Kun Fang 004; Xiaolin Huang; Jie Yang 002 (Image Vis. Comput., 2024)

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach. - Kexin Lv; Jia Cai; Junyi Huo; Chao Shang; Xiaolin Huang; Jie Yang 002 (Neural Comput., 2024)

Towards robust neural networks via orthogonal diversity. - Kun Fang 004; Qinghua Tao; Yingwen Wu; Tao Li 054; Jia Cai; Feipeng Cai; Xiaolin Huang; Jie Yang 002 (Pattern Recognit., 2024)

Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation. - Bingzhi Chen; Xiaolin Huang; Yishu Liu; Zheng Zhang 006; Guangming Lu 002; Zheng Zhou; Jiahui Pan (IEEE Trans. Instrum. Meas., 2024)

Region-Based Unsupervised Low-Light Image Enhancement in the Wild With Explicit Domain Supervision. - Yingjie Ma; Shuo Xie; Wei Xu; Xinyuan Chen; Xiaolin Huang; Yifei Sun; Wei Liu (IEEE Trans. Instrum. Meas., 2024)

Online Continual Learning via Logit Adjusted Softmax. - Zhehao Huang; Tao Li; Chenhe Yuan; Yingwen Wu; Xiaolin Huang (Trans. Mach. Learn. Res., 2024)

Revisiting Random Weight Perturbation for Efficiently Improving Generalization. - Tao Li 054; Qinghua Tao; Weihao Yan; Yingwen Wu; Zehao Lei; Kun Fang 004; Mingzhen He; Xiaolin Huang (Trans. Mach. Learn. Res., 2024)

Self-Similarity Prior Distillation for Unsupervised Remote Physiological Measurement. - Xinyu Zhang; Weiyu Sun; Hao Lu 009; Ying Chen 006; Yun Ge; Xiaolin Huang; Jie Yuan; Yingcong Chen (IEEE Trans. Multim., 2024)

Query Attack by Multi-Identity Surrogates. - Sizhe Chen; Zhehao Huang; Qinghua Tao; Xiaolin Huang (IEEE Trans. Artif. Intell., 2024)

Consensus-based distributed algorithm for GEP. - Kexin Lv; Fan He; Xiaolin Huang; Jie Yang 002 (Signal Process., 2024)

Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty. - Fan He; Mingzhen He; Lei Shi 010; Xiaolin Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization. - Tianshu Chu; Zuopeng Yang; Xiaolin Huang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. - Kun Fang 004; Qinghua Tao; Xiaolin Huang; Jie Yang 002 (Int. J. Comput. Vis., 2024)

Fast Global Image Smoothing via Quasi Weighted Least Squares. - Wei Liu 044; Pingping Zhang; Hongxing Qin; Xiaolin Huang; Jie Yang 002; Michael Ng 001 (Int. J. Comput. Vis., 2024)

Random fourier features for asymmetric kernels. - Mingzhen He; Fan He; Fanghui Liu 001; Xiaolin Huang (Mach. Learn., 2024)

Low-Dimensional Gradient Helps Out-of-Distribution Detection. - Yingwen Wu; Tao Li 054; Xinwen Cheng; Jie Yang 002; Xiaolin Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors. - Yihang Zhang; Yingwen Wu; Xiaolin Huang (IEEE Trans. Ind. Informatics, 2024)

ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis. - Xinyu Geng; Jiaming Wang; Xiaolin Huang; Fanglin Chen 001; Jun Xu 008 (AAAI, 2025)

Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks. - Hanling Tian; Yuhang Liu 003; Mingzhen He; Zhengbao He; Zhehao Huang; Ruikai Yang; Xiaolin Huang (ICLR, 2025)

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. - Yingwen Wu; Ruiji Yu; Xinwen Cheng; Zhengbao He; Xiaolin Huang (ICLR, 2025)

Multi-head ensemble of smoothed classifiers for certified robustness. - Kun Fang 004; Qinghua Tao; Yingwen Wu; Tao Li 054; Xiaolin Huang; Jie Yang 002 (Neural Networks, 2025)

PRDepth: Pose Refinement Enhancement-Based Monocular Depth Estimation for Indoor Scenes. - Chenggong Han; Chen Lv; Xiaolin Huang; Qiqi Kou; Deqiang Cheng; He Jiang (IEEE Trans. Instrum. Meas., 2025)

SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain. - Xiaoying Li; Long Xu 002; Xiaolin Huang; Donglai Xue; Zhihao Zhang; Zhichao Han 002; Chao Xu 001; Yanjun Cao; Fei Gao 011 (CoRR, 2025)

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning. - Zhehao Huang; Xinwen Cheng; Jie Zhang; JingHao Zheng; Haoran Wang; Zhengbao He; Tao Li; Xiaolin Huang (CoRR, 2025)

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations. - Kun Fang 004; Qinghua Tao; Mingzhen He; Kexin Lv; Runze Yang; Haibo Hu; Xiaolin Huang; Jie Yang 002; Longbing Cao (CoRR, 2025)

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training. - Zhehao Huang; Yuhang Liu 003; Yixin Lou; Zhengbao He; Mingzhen He; Wenxing Zhou; Tao Li; Kehan Li; Zeyi Huang; Xiaolin Huang (CoRR, 2025)

A Decentralized Framework for Kernel PCA With Projection Consensus Constraints. - Fan He; Ruikai Yang; Lei Shi 010; Xiaolin Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature. - Ruikai Yang; Fan He; Mingzhen He; Jie Yang 002; Xiaolin Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

MUSO: achieving exact machine unlearning in over-parameterized regimes. - Ruikai Yang; Mingzhen He; Zhenghao He; Youmei Qiu; Xiaolin Huang (Mach. Learn., 2025)