Xiaolin Huang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 232

Top Venues

CoRR

IEEE Trans. Pattern Anal. Mach. Intell.

ICIP

IEEE Trans. Neural Networks Learn. Syst.

Publications

Xinyu Geng, Jiaming Wang, Jiawei Gong, Yuerong Xue, Jun Xu, Fanglin Chen, Xiaolin Huang
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning. CoRR (2024)
Yingjie Ma, Shuo Xie, Wei Xu, Xinyuan Chen, Xiaolin Huang, Yifei Sun, Wei Liu
Region-Based Unsupervised Low-Light Image Enhancement in the Wild With Explicit Domain Supervision. IEEE Trans. Instrum. Meas. 73 (2024)
Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. CoRR (2024)
Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method. CoRR (2024)
Jiani Liu, Ce Zhu, Yang Chen, Xiaolin Huang, Yipeng Liu
Phase Retrieval by Tensor Total Least Squares. ICASSP (2024)
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
Online Continual Learning via Logit Adjusted Softmax. Trans. Mach. Learn. Res. 2024 (2024)
Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. CoRR (2024)
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang
Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang
Friendly Sharpness-Aware Minimization. CoRR (2024)
Xinwei Ou, Ce Zhu, Xiaolin Huang, Yipeng Liu
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning. CoRR (2024)
Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
Resolve Domain Conflicts for Generalizable Remote Physiological Measurement. CoRR (2024)
Kexin Lv, Fan He, Xiaolin Huang, Jie Yang
Consensus-based distributed algorithm for GEP. Signal Process. 216 (2024)
Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. Trans. Mach. Learn. Res. 2024 (2024)
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
Kernel PCA for Out-of-Distribution Detection. CoRR (2024)
Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen
Learn What You Need in Personalized Federated Learning. CoRR (2024)
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang
Towards robust neural networks via orthogonal diversity. Pattern Recognit. 149 (2024)
Tianshu Chu, Zuopeng Yang, Xiaolin Huang
Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Bingzhi Chen, Xiaolin Huang, Yishu Liu, Zheng Zhang, Guangming Lu, Zheng Zhou, Jiahui Pan
Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation. IEEE Trans. Instrum. Meas. 73 (2024)
Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. CoRR (2024)
Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang
Towards Natural Machine Unlearning. CoRR (2024)
Xinwen Cheng, Zhehao Huang, Xiaolin Huang
Machine Unlearning by Suppressing Sample Contribution. CoRR (2024)
Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang
Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature. CoRR (2024)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5 (2) (2024)
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning. CoRR (2024)
Lei Tan, Shutong Wu, Wenxing Zhou, Xiaolin Huang
Weighted neural tangent kernel: a generalized and improved network-induced kernel. Mach. Learn. 112 (8) (2023)
Changhe Zhang, Yangan Li, Zidong Yu, Xiaolin Huang, Jiang Xu, Chao Deng
An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet. Expert Syst. Appl. 227 (2023)
Tianshu Chu, Kun Fang, Jie Yang, Xiaolin Huang
Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. Pattern Recognit. Lett. 176 (2023)
Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang
End-to-end kernel learning via generative random Fourier features. Pattern Recognit. 134 (2023)
Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CVPR Workshops (2023)
Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang
Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. IJCNN (2023)
Xuekui Zhang, Xiaolin Huang, Li Xing
ADSP: An adaptive sample pooling strategy for diagnostic testing. J. Biomed. Informatics 146 (2023)
Jiquan Zhong, Xiaolin Huang, Xiao Yu
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. ACM Multimedia (2023)
Ruiqi Ding, Tao Li, Xiaolin Huang
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. ACML (2023)
Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CoRR (2023)
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
Online Continual Learning via Logit Adjusted Softmax. CoRR (2023)
Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin
Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. CoRR (2023)
Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Unifying Gradients to Improve Real-World Robustness for Deep Networks. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin
Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. CDC (2023)
Xiaolin Huang, Mengke Li, Yang Lu, Hanzi Wang
DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. PRCV (9) (2023)
Juanjuan Sun, Xueliang Wang, Songfeng Guo, Haiyang Liu, Yu Zou, Xianglong Yao, Xiaolin Huang, Shengwen Qi
Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau. Remote. Sens. 15 (13) (2023)
Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP (2023)
Guanghui Wang, Xiaolin Huang, Xueyuan Zhang, Geyuan Liu, Fang Zuo
Design and Analysis of Secure Localization Against Vulnerability-Induced Attack for Internet of Things. ICCC Workshops (2023)
Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. CoRR (2023)
Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou
PCR-CG: Point Cloud Registration via Deep Color and Geometry. CoRR (2023)
Jiawen Li, Kun Fang, Xiaolin Huang, Jie Yang
Improving adversarial robustness through a curriculum-guided reliable distillation. Comput. Secur. 133 (2023)
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. CoRR (2023)
Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Learning With Asymmetric Kernels: Least Squares and Feature Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR (2023)
Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
Resolve Domain Conflicts for Generalizable Remote Physiological Measurement. ACM Multimedia (2023)
Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang
Low-Dimensional Gradient Helps Out-of-Distribution Detection. CoRR (2023)
Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang
Diffusion Representation for Asymmetric Kernels via Magnetic Transform. NeurIPS (2023)
Kaijie Wang, Fan He, Mingzhen He, Xiaolin Huang
Learning non-parametric kernel via matrix decomposition for logistic regression. Pattern Recognit. Lett. 171 (2023)
Xinyu Zhang, Weiyu Sun, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
Self-similarity Prior Distillation for Unsupervised Remote Physiological Measurement. CoRR (2023)
Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Xiaolin Huang, Johan A. K. Suykens
Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs. CoRR (2023)
Zhixing Ye, Xinwen Cheng, Xiaolin Huang
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. IJCNN (2023)
Jiquan Zhong, Xiaolin Huang, Xiao Yu
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. CoRR (2023)
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR (2023)
Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR (2023)
Wei Xu, Xinyuan Chen, Haoming Guo, Xiaolin Huang, Wei Liu
Unsupervised Image Restoration With Quality-Task-Perception Loss. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)
Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints. CoRR (2022)
Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR (2022)
Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang
Efficient Generalization Improvement Guided by Random Weight Perturbation. CoRR (2022)
Weiyu Sun, Xinyu Zhang, Ying Chen, Yun Ge, Chunyu Ji, Xiaolin Huang
WPPG Net: A Non-contact Video Based Heart Rate Extraction Network Framework with Compatible Training Capability. CoRR (2022)
Yun Gu, Yunze Xu, Xiaolin Huang, Jie Yang, Wei Xue, Guang-Zhong Yang
Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification. IEEE Trans. Medical Imaging 41 (11) (2022)
Kexin Lv, Zheng Sun, Fan He, Xiaolin Huang, Jie Yang
One-shot Distributed Algorithm for Generalized Eigenvalue Problem. ICCAI (2022)
Mingzhe Li, Sizhe Chen, Xiaolin Huang
Mutual Diverse-Label Adversarial Training. ICONIP (1) (2022)
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR (2022)
Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR (2022)
Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
Random Fourier Features for Asymmetric Kernels. CoRR (2022)
Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. CoRR (2022)
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS (2022)
Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. ECCV (10) (2022)
Zhangjing Yang, Weiwu Yan, Xiaolin Huang, Lin Mei
Adaptive Temporal-Frequency Network for Time-Series Forecasting. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Jingzheng Tu, Cailian Chen, Xiaolin Huang, Jianping He, Xinping Guan
DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification. Pattern Recognit. 131 (2022)
Bo Zhang, Yuelin Gao, Xia Liu, Xiaolin Huang
An Outcome-Space-Based Branch-and-Bound Algorithm for a Class of Sum-of-Fractions Problems. J. Optim. Theory Appl. 192 (3) (2022)
Zhixing Ye, Xinwen Cheng, Xiaolin Huang
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. CoRR (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR (2022)
Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens
Piecewise Linear Neural Networks and Deep Learning. CoRR (2022)
Yujia Mi, Aijing Lin, Danlei Gu, Xiyun Zhang, Xiaolin Huang
Bubble transfer spectral entropy and its application in epilepsy EEG analysis. Commun. Nonlinear Sci. Numer. Simul. 110 (2022)
Tianyi Zhang, Yun Gu, Xiaolin Huang, Jie Yang, Guang-Zhong Yang
Disparity-constrained stereo endoscopic image super-resolution. Int. J. Comput. Assist. Radiol. Surg. 17 (5) (2022)
Shuai You, Xiaolin Huang, Li Xing, Youlian Pan, Xuekui Zhang
Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. CIBCB (2022)
Ke Wang, Xiaolin Huang, Shuang Hu, Hongwei Wang, Mingxuan Zhao, Jian Zhou
Multivariate uncertain risk aversion with application to accounts receivables pricing. Soft Comput. 26 (18) (2022)
Sijing Chen, Zhanbin Wang, Yongqiang Li, Jiashuai Tang, Xue Wang, Liping Huang, Zhuangwei Fang, Tao Xu, Jiang Xu, Feng Guo, Yizhao Wang, Jianjun Long, Xiaodong Wang, Fang Liu, Jianfeng Luo, Yulong Wang, Xiaolin Huang, Zishan Jia, Mei Shuai, Jianan Li
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. Frontiers Neurorobotics 16 (2022)
Tingman Yan, Xiaolin Huang, Qunfei Zhao
Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling. IEEE Trans. Image Process. 31 (2022)
Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang
Relevance attack on detectors. Pattern Recognit. 124 (2022)
Leyu Yao, Fan He, Xiaofeng Wang, Lu Zhou, Haixia Peng, Xiaolin Huang
Scheme And Dataset for Evaluating Computer-Aided Polyp Detection System in Colonoscopy. ISBI (2022)
Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Subspace Adversarial Training. CVPR (2022)
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness. CoRR (2022)
Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Unifying Gradients to Improve Real-world Robustness for Deep Networks. CoRR (2022)
Lei Tan, Shutong Wu, Xiaolin Huang
Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel. CoRR (2021)
Jintian Xu, Chengjin Sun, Yixing Huang, Xiaolin Huang
Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. Bildverarbeitung für die Medizin (2021)
Jing Huang, Xiaolin Huang, Jie Yang
Residual Enhanced Multi-Hypergraph Neural Network. CoRR (2021)
Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. CoRR (2021)
Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang
Dominant Patterns: Critical Features Hidden in Deep Neural Networks. CoRR (2021)
Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Subspace Adversarial Training. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaolin Huang