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2020 – today
- 2024
- [j112]Wei Liu
, Pingping Zhang, Hongxing Qin, Xiaolin Huang, Jie Yang, Michael Ng:
Fast Global Image Smoothing via Quasi Weighted Least Squares. Int. J. Comput. Vis. 132(12): 6039-6068 (2024) - [j111]Kun Fang
, Qinghua Tao, Xiaolin Huang, Jie Yang:
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. Int. J. Comput. Vis. 132(12): 6107-6126 (2024) - [j110]Jiawen Li, Kun Fang, Xiaolin Huang, Jie Yang:
Boosting certified robustness via an expectation-based similarity regularization. Image Vis. Comput. 151: 105272 (2024) - [j109]Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
:
Random fourier features for asymmetric kernels. Mach. Learn. 113(11): 8459-8485 (2024) - [j108]Kexin Lv, Jia Cai, Junyi Huo, Chao Shang, Xiaolin Huang, Jie Yang:
Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach. Neural Comput. 36(7): 1380-1409 (2024) - [j107]Yingwen Wu
, Tao Li
, Xinwen Cheng
, Jie Yang
, Xiaolin Huang
:
Low-Dimensional Gradient Helps Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11378-11391 (2024) - [j106]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: 110281 (2024) - [j105]Kexin Lv
, Fan He, Xiaolin Huang
, Jie Yang:
Consensus-based distributed algorithm for GEP. Signal Process. 216: 109307 (2024) - [j104]Sizhe Chen
, Zhehao Huang
, Qinghua Tao
, Xiaolin Huang
:
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5(2): 684-697 (2024) - [j103]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): 3056-3060 (2024) - [j102]Yihang Zhang
, Yingwen Wu, Xiaolin Huang
:
Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors. IEEE Trans. Ind. Informatics 20(12): 13863-13872 (2024) - [j101]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: 1-13 (2024) - [j100]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: 1-11 (2024) - [j99]Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang:
Online Continual Learning via Logit Adjusted Softmax. Trans. Mach. Learn. Res. 2024 (2024) - [j98]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) - [j97]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. IEEE Trans. Multim. 26: 10290-10305 (2024) - [j96]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): 3886-3899 (2024) - [c81]Xiaolin Huang, Jingchun Lin, Jiacheng Chen, Xiao Ma, Bingzhi Chen, Guangming Lu:
Progressive Stepwise Diffusion Model with Dual Decoders for Semi-Supervised Medical Image Segmentation. BIBM 2024: 2060-2067 - [c80]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CVPR 2024: 5631-5640 - [c79]Xinyu Geng, Jiaming Wang, Jiawei Gong, Yuerong Xue, Jun Xu, Fanglin Chen, Xiaolin Huang:
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning. CVPR 2024: 6037-6046 - [c78]Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok:
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. ECCV (65) 2024: 342-359 - [c77]Jiani Liu, Ce Zhu, Yang Chen, Xiaolin Huang, Yipeng Liu:
Phase Retrieval by Tensor Total Least Squares. ICASSP 2024: 6415-6419 - [c76]Xiaolin Huang, Biqing Zeng, Jiahui Pan, Yujiang Yao, Zheng Zhou, Bingzhi Chen:
Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation. ICME 2024: 1-6 - [c75]Zhilong Xiong, Jia Cai, Ranhui Yan
, Xiaolin Huang:
Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification. IJCNN 2024: 1-10 - [c74]Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang:
Kernel PCA for Out-of-Distribution Detection. NeurIPS 2024 - [c73]Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang:
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. NeurIPS 2024 - [i91]Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen:
Learn What You Need in Personalized Federated Learning. CoRR abs/2401.08327 (2024) - [i90]Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang:
Kernel PCA for Out-of-Distribution Detection. CoRR abs/2402.02949 (2024) - [i89]Xinwen Cheng, Zhehao Huang, Xiaolin Huang:
Machine Unlearning by Suppressing Sample Contribution. CoRR abs/2402.15109 (2024) - [i88]Xinwei Ou, Ce Zhu, Xiaolin Huang, Yipeng Liu:
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning. CoRR abs/2403.03473 (2024) - [i87]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CoRR abs/2403.12350 (2024) - [i86]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 abs/2403.13351 (2024) - [i85]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 abs/2404.00357 (2024) - [i84]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 abs/2404.07855 (2024) - [i83]Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang:
Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature. CoRR abs/2405.07791 (2024) - [i82]Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang:
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method. CoRR abs/2405.07800 (2024) - [i81]Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang:
Towards Natural Machine Unlearning. CoRR abs/2405.15495 (2024) - [i80]Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang:
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. CoRR abs/2405.17816 (2024) - [i79]Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning. CoRR abs/2406.01435 (2024) - [i78]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 abs/2407.03641 (2024) - [i77]Kun Fang, Qinghua Tao, Zuopeng Yang, Xiaolin Huang, Jie Yang:
DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection. CoRR abs/2409.10094 (2024) - [i76]Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang:
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape. CoRR abs/2409.14396 (2024) - [i75]Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang:
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. CoRR abs/2409.19732 (2024) - [i74]Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang:
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes. CoRR abs/2410.08557 (2024) - 2023
- [j95]Jiawen Li
, Kun Fang
, Xiaolin Huang, Jie Yang:
Improving adversarial robustness through a curriculum-guided reliable distillation. Comput. Secur. 133: 103411 (2023) - [j94]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: 120257 (2023) - [j93]Xuekui Zhang
, Xiaolin Huang, Li Xing:
ADSP: An adaptive sample pooling strategy for diagnostic testing. J. Biomed. Informatics 146: 104501 (2023) - [j92]Lei Tan, Shutong Wu, Wenxing Zhou, Xiaolin Huang
:
Weighted neural tangent kernel: a generalized and improved network-induced kernel. Mach. Learn. 112(8): 2871-2901 (2023) - [j91]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): 3411-3420 (2023) - [j90]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): 10044-10054 (2023) - [j89]Kun Fang
, Fanghui Liu, Xiaolin Huang
, Jie Yang:
End-to-end kernel learning via generative random Fourier features. Pattern Recognit. 134: 109057 (2023) - [j88]Kaijie Wang
, Fan He, Mingzhen He, Xiaolin Huang:
Learning non-parametric kernel via matrix decomposition for logistic regression. Pattern Recognit. Lett. 171: 177-183 (2023) - [j87]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: 117-122 (2023) - [j86]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): 3273 (2023) - [j85]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): 101:1-101:16 (2023) - [c72]Ruiqi Ding, Tao Li, Xiaolin Huang:
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. ACML 2023: 311-326 - [c71]Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin:
Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. CDC 2023: 7988-7993 - [c70]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CVPR Workshops 2023: 2314-2321 - [c69]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP 2023: 1-5 - [c68]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: 1-6 - [c67]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 - [c66]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR 2023 - [c65]Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang:
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR 2023 - [c64]Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang:
Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. IJCNN 2023: 1-8 - [c63]Zhixing Ye, Xinwen Cheng, Xiaolin Huang:
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. IJCNN 2023: 1-8 - [c62]Jiquan Zhong
, Xiaolin Huang
, Xiao Yu
:
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. ACM Multimedia 2023: 2553-2563 - [c61]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: 8214-8224 - [c60]Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang:
Diffusion Representation for Asymmetric Kernels via Magnetic Transform. NeurIPS 2023 - [c59]Xiaolin Huang, Mengke Li, Yang Lu, Hanzi Wang:
DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. PRCV (9) 2023: 104-119 - [i73]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CoRR abs/2302.11963 (2023) - [i72]Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou
, Ji Hou:
PCR-CG: Point Cloud Registration via Deep Color and Geometry. CoRR abs/2302.14418 (2023) - [i71]Jiquan Zhong, Xiaolin Huang, Xiao Yu:
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. CoRR abs/2303.14628 (2023) - [i70]Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin:
Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. CoRR abs/2304.00729 (2023) - [i69]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 abs/2308.16056 (2023) - [i68]Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. CoRR abs/2310.05236 (2023) - [i67]Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang:
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. CoRR abs/2310.14227 (2023) - [i66]Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang:
Low-Dimensional Gradient Helps Out-of-Distribution Detection. CoRR abs/2310.17163 (2023) - [i65]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 abs/2311.05100 (2023) - [i64]Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang:
Online Continual Learning via Logit Adjusted Softmax. CoRR abs/2311.06460 (2023) - 2022
- [j84]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): 867-875 (2022) - [j83]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: 106294 (2022) - [j82]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: 848443 (2022) - [j81]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): 2188-2197 (2022) - [j80]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): 6631-6648 (2022) - [j79]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): 7128-7148 (2022) - [j78]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): 7975-7988 (2022) - [j77]Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang:
Relevance attack on detectors. Pattern Recognit. 124: 108491 (2022) - [j76]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: 108887 (2022) - [j75]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): 9465-9480 (2022) - [j74]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): 5736-5747 (2022) - [j73]Tingman Yan
, Xiaolin Huang
, Qunfei Zhao
:
Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling. IEEE Trans. Image Process. 31: 4719-4732 (2022) - [j72]Zhangjing Yang
, Weiwu Yan
, Xiaolin Huang
, Lin Mei:
Adaptive Temporal-Frequency Network for Time-Series Forecasting. IEEE Trans. Knowl. Data Eng. 34(4): 1576-1587 (2022) - [j71]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): 3242-3252 (2022) - [c58]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: 1-6 - [c57]Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang
, Xiaolin Huang:
Subspace Adversarial Training. CVPR 2022: 13399-13408 - [c56]Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou
, Ji Hou:
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. ECCV (10) 2022: 443-459 - [c55]Kexin Lv, Zheng Sun, Fan He, Xiaolin Huang, Jie Yang:
One-shot Distributed Algorithm for Generalized Eigenvalue Problem. ICCAI 2022: 104-109 - [c54]Mingzhe Li, Sizhe Chen, Xiaolin Huang:
Mutual Diverse-Label Adversarial Training. ICONIP (1) 2022: 64-75 - [c53]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: 1-5 - [c52]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 - [p1]Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov:
Universal Adversarial Perturbation Generated by Using Attention Information. Advances in Intelligent Systems Research and Innovation 2022: 21-39 - [i63]Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. CoRR abs/2202.01397 (2022) - [i62]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 abs/2205.12134 (2022) - [i61]Shutong Wu, Sizhe Chen, Cihang Xie
, Xiaolin Huang:
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR abs/2205.12141 (2022) - [i60]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR abs/2205.13104 (2022) - [i59]Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens:
Piecewise Linear Neural Networks and Deep Learning. CoRR abs/2206.09149 (2022) - [i58]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 abs/2207.01697 (2022) - [i57]Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Unifying Gradients to Improve Real-world Robustness for Deep Networks. CoRR abs/2208.06228 (2022) - [i56]Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang:
Random Fourier Features for Asymmetric Kernels. CoRR abs/2209.08461 (2022) - [i55]Zhixing Ye, Xinwen Cheng, Xiaolin Huang:
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. CoRR abs/2209.13113 (2022) - [i54]Kun Fang
, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang:
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness. CoRR abs/2211.10882 (2022) - [i53]Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang:
Efficient Generalization Improvement Guided by Random Weight Perturbation. CoRR abs/2211.11489 (2022) - [i52]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR abs/2211.12005 (2022) - [i51]Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang:
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints. CoRR abs/2211.15953 (2022) - 2021
- [j70]