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2020 – today
- 2024
[j110]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)- [j109]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) - [j108]Jiawen Li, Kun Fang, Xiaolin Huang, Jie Yang:
Boosting certified robustness via an expectation-based similarity regularization. Image Vis. Comput. 151: 105272 (2024) - [j107]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) - [j106]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) - [j105]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) - [j104]Kexin Lv, Fan He, Xiaolin Huang, Jie Yang:
Consensus-based distributed algorithm for GEP. Signal Process. 216: 109307 (2024) - [j103]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5(2): 684-697 (2024) - [j102]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) - [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) - [c78]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CVPR 2024: 5631-5640 - [c77]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 - [c76]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 - [c75]Jiani Liu, Ce Zhu, Yang Chen, Xiaolin Huang, Yipeng Liu:
Phase Retrieval by Tensor Total Least Squares. ICASSP 2024: 6415-6419 - [c74]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 - [c73]Zhilong Xiong, Jia Cai, Ranhui Yan, Xiaolin Huang:
Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification. IJCNN 2024: 1-10 - [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]Qiang Yu, Cheng Wang, Jing Xi, Ying Chen, Weifeng Li, Yun Ge, Xiaolin Huang:
Intensive Care Unit False Alarm Identification Based on Convolution Neural Network. IEEE Access 9: 81841-81854 (2021) - [j69]Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens:
Generalization Properties of hyper-RKHS and its Applications. J. Mach. Learn. Res. 22: 140:1-140:38 (2021) - [j68]Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens:
Analysis of regularized least-squares in reproducing kernel Kreĭn spaces. Mach. Learn. 110(6): 1145-1173 (2021) - [j67]Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang:
Adversarial Attack Type I: Cheat Classifiers by Significant Changes. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1100-1109 (2021) - [j66]Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang:
Mixed-precision quantized neural networks with progressively decreasing bitwidth. Pattern Recognit. 111: 107647 (2021) - [j65]Fan He, Kexin Lv, Jie Yang, Xiaolin Huang:
One-Shot Distributed Algorithm for PCA With RBF Kernels. IEEE Signal Process. Lett. 28: 1465-1469 (2021) - [j64]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE Trans. Medical Imaging 40(6): 1603-1617 (2021) - [c51]Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens:
Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures. AISTATS 2021: 388-396 - [c50]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: 164-169 - [c49]Tao Peng, Xiaolin Huang, Chao Yang, Zhiwen Chen, Qiang Liu, Xinyu Fan:
Temperature Control-based FCS-MPC of Traction Converters*. CAA SAFEPROCESS 2021: 1-6 - [c48]Qi Xu, Yinan Ma, Jing Wu, Chengnian Long, Xiaolin Huang:
CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation. ICCVW 2021: 2962-2971 - [c47]Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang:
Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. ICIP 2021: 869-873 - [c46]Yizhang Huang, Kun Fang, Xiaolin Huang, Jie Yang:
ADVMIX: Data Augmentation for Accurate Scene Text Spotting. ICIP 2021: 954-958 - [c45]Jing Huang, Xiaolin Huang, Jie Yang:
Residual Enhanced Multi-Hypergraph Neural Network. ICIP 2021: 3657-3661 - [c44]Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang:
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. IJCNN 2021: 1-8 - [c43]Chunyu Dong, Qunfei Zhao, Kun Chen, Xiaolin Huang:
Asymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation. ISBI 2021: 645-649 - [c42]Fan He, Sizhe Chen, Shuaiyi Li, Lu Zhou, Haiqin Zhang, Haixia Peng, Xiaolin Huang:
Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training. ISBI 2021: 1887-1891 - [i50]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Going Far Boosts Attack Transferability, but Do Not Do It. CoRR abs/2102.10343 (2021) - [i49]Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang:
Train Deep Neural Networks in 40-D Subspaces. CoRR abs/2103.11154 (2021) - [i48]Lei Tan, Shutong Wu, Xiaolin Huang:
Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel. CoRR abs/2103.11558 (2021) - [i47]Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang:
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. CoRR abs/2104.06204 (2021) - [i46]Jing Huang, Xiaolin Huang, Jie Yang:
Residual Enhanced Multi-Hypergraph Neural Network. CoRR abs/2105.00490 (2021) - [i45]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR abs/2105.15010 (2021) - [i44]Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang:
Dominant Patterns: Critical Features Hidden in Deep Neural Networks. CoRR abs/2105.15057 (2021) - [i43]Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang:
Adaptive Feature Alignment for Adversarial Training. CoRR abs/2105.15157 (2021) - [i42]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR abs/2107.07058 (2021) - [i41]Hengling Zhao, Yipeng Liu, Xiaolin Huang, Ce Zhu:
Semi-tensor Product-based TensorDecomposition for Neural Network Compression. CoRR abs/2109.15200 (2021) - [i40]Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Subspace Adversarial Training. CoRR abs/2111.12229 (2021) - 2020
- [j63]Qiyuan Wang, Zhongmin Wang, Yu Sun, Xin Zhang, Weifeng Li, Yun Ge, Xiaolin Huang, Yun Liu, Ying Chen:
SCCNN: A Diagnosis Method for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Siamese Cross Contrast Neural Network. IEEE Access 8: 85271-85283 (2020) - [j62]He Jiang, Mujtaba Asad, Xiaolin Huang, Jie Yang:
Learning in-place residual homogeneity for single image detail enhancement. J. Electronic Imaging 29(4): 043016 (2020) - [j61]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Non-parametric Kernels. J. Mach. Learn. Res. 21: 208:1-208:39 (2020) - [j60]Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang:
Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. IEEE Trans. Circuits Syst. Video Technol. 30(1): 23-35 (2020) - [j59]Wei Xiao, Xiaolin Huang, Fan He, Jorge Silva, Saba Emrani, Arin Chaudhuri:
Online Robust Principal Component Analysis With Change Point Detection. IEEE Trans. Multim. 22(1): 59-68 (2020) - [j58]Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang:
Toward Making Unsupervised Graph Hashing Discriminative. IEEE Trans. Multim. 22(3): 760-774 (2020) - [j57]Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A. K. Suykens:
A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2965-2979 (2020) - [j56]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid:
Real-time Image Smoothing via Iterative Least Squares. ACM Trans. Graph. 39(3): 28:1-28:24 (2020) - [c41]Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. AAAI 2020: 4844-4851 - [c40]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid:
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. AAAI 2020: 11620-11628 - [c39]Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens:
Learning from partially labeled data. ESANN 2020: 493-502 - [c38]Fan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang:
A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. ESANN 2020: 527-532 - [c37]Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack For Generative Models. ICIP 2020: 593-597 - [c36]Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong:
Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. ICPR 2020: 9988-9995 - [c35]Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov:
Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation. IEEE Conf. on Intelligent Systems 2020: 431-436 - [c34]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu:
Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. MICCAI (1) 2020: 221-231 - [i39]Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. CoRR abs/2001.06325 (2020) - [i38]Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang:
Generate High-Resolution Adversarial Samples by Identifying Effective Features. CoRR abs/2001.07631 (2020) - [i37]Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack for Generative Models. CoRR abs/2003.01872 (2020) - [i36]Chengjin Sun, Sizhe Chen, Xiaolin Huang:
Double Backpropagation for Training Autoencoders against Adversarial Attack. CoRR abs/2003.01895 (2020) - [i35]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
Real-time Image Smoothing via Iterative Least Squares. CoRR abs/2003.07504 (2020) - [i34]Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang:
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. CoRR abs/2003.08539 (2020) - [i33]Mingyi Zhou, Jing Wu, Yipeng Liu, Xiaolin Huang, Shuaicheng Liu, Xiang Zhang, Ce Zhu:
Adversarial Imitation Attack. CoRR abs/2003.12760 (2020) - [i32]Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang:
Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach. CoRR abs/2004.10981 (2020) - [i31]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond. CoRR abs/2004.11154 (2020) - [i30]Fan He, Xiaolin Huang, Kexin Lv, Jie Yang:
A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis. CoRR abs/2005.02664 (2020) - [i29]Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens:
Generalizing Random Fourier Features via Generalized Measures. CoRR abs/2006.00247 (2020) - [i28]Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens:
Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces. CoRR abs/2006.01073 (2020) - [i27]Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang:
Attack on Multi-Node Attention for Object Detection. CoRR abs/2008.06822 (2020) - [i26]Kun Fang, Xiaolin Huang, Fanghui Liu, Jie Yang:
End-to-end Kernel Learning via Generative Random Fourier Features. CoRR abs/2009.04614 (2020) - [i25]Kun Fang, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang:
Learn Robust Features via Orthogonal Multi-Path. CoRR abs/2010.12190 (2020) - [i24]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. CoRR abs/2011.01668 (2020) - [i23]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. CoRR abs/2012.05767 (2020)
2010 – 2019
- 2019
- [j55]Jiaxuan Xie, Fanghui Liu, Xiaolin Huang, Jie Yang:
Sparse Indefinite Kernel Learning on Sphere. Aust. J. Intell. Inf. Process. Syst. 16(3): 54-60 (2019) - [j54]Yudan Huang, Ying Chen, Haochuan Zhu, Weifeng Li, Yun Ge, Xiaolin Huang, Jian He:
A liver fibrosis staging method using cross-contrast network. Expert Syst. Appl. 130: 124-131 (2019) - [j53]Shane S. Q. Xie, Samit Chakrabarty, Jen-Yuan (James) Chang, Chao-Chieh Lan, Xiaolin Huang, Andrew McDaid:
Guest Editorial introduction to the Focused section on wearable sensors, actuators, and robots for rehabilitation. Int. J. Intell. Robotics Appl. 3(1): 1-3 (2019) - [j52]Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A. K. Suykens:
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization. J. Mach. Learn. Res. 20: 161:1-161:44 (2019) - [j51]Xiaolin Huang, Haiyan Yang, Yixing Huang, Lei Shi, Fan He, Andreas K. Maier, Ming Yan:
Robust mixed one-bit compressive sensing. Signal Process. 162: 161-168 (2019) - [j50]Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang:
Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. IEEE Trans. Medical Imaging 38(11): 2569-2581 (2019) - [j49]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Johan A. K. Suykens:
Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure. IEEE Trans. Neural Networks Learn. Syst. 30(3): 765-776 (2019) - [c33]Qiang Yu, Xiaolin Huang, Weifeng Li, Cheng Wang, Ying Chen, Yun Ge:
Using Features Extracted From Vital Time Series for Early Prediction of Sepsis. CinC 2019: 1-4 - [c32]Yixing Huang, Alexander Preuhs, Günter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas Maier:
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. MLMIR@MICCAI 2019: 101-112 - [c31]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. MICCAI (6) 2019: 212-220 - [i22]Sanli Tang, Fan He, Xiaolin Huang, Jie Yang:
Online PCB Defect Detector On A New PCB Defect Dataset. CoRR abs/1902.06197 (2019) - [i21]Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. CoRR abs/1904.06842 (2019) - [i20]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. CoRR abs/1907.06852 (2019) - [i19]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR abs/1907.09642 (2019) - [i18]Yixing Huang, Alexander Preuhs, Guenter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas K. Maier:
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. CoRR abs/1908.06792 (2019) - [i17]Jiaxuan Xie, Fanghui Liu, Kaijie Wang, Xiaolin Huang:
Deep Kernel Learning via Random Fourier Features. CoRR abs/1910.02660 (2019) - [i16]Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. CoRR abs/1911.09158 (2019) - [i15]Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun:
DAmageNet: A Universal Adversarial Dataset. CoRR abs/1912.07160 (2019) - [i14]Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang:
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection. CoRR abs/1912.12656 (2019) - 2018
- [j48]Weifeng Li, Yuxiaotong Shen, Jie Zhang, Xiaolin Huang, Ying Chen, Yun Ge:
Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition. Comput. Math. Methods Medicine 2018: 1482874:1-1482874:9 (2018) - [j47]Wei Xu, Wei Liu, Xiaolin Huang, Jie Yang, Song Qiu:
Multi-modal self-paced learning for image classification. Neurocomputing 309: 134-144 (2018) - [j46]Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens:
Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms. Neurocomputing 314: 275-283 (2018) - [j45]Mingming Zhang, Jinghui Cao, Sheng Quan Xie, Guoli Zhu, Xiangfeng Zeng, Xiaolin Huang, Qun Xu:
A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot. J. Intell. Robotic Syst. 91(2): 207-215 (2018) - [j44]Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens:
Indefinite kernel spectral learning. Pattern Recognit. 78: 144-153 (2018) - [j43]Kai Liu, Caihua Xiong, Lei He, Wen-Bin Chen, Xiaolin Huang:
Postural synergy based design of exoskeleton robot replicating human arm reaching movements. Robotics Auton. Syst. 99: 84-96 (2018) - [j42]Xiaolin Huang, Ming Yan:
Nonconvex penalties with analytical solutions for one-bit compressive sensing. Signal Process. 144: 341-351 (2018) - [j41]Wei Xu, Wei Liu, Haoyuan Chi, Xiaolin Huang, Jie Yang:
Multi-task classification with sequential instances and tasks. Signal Process. Image Commun. 64: 59-67 (2018) - [j40]Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan:
Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties. IEEE Signal Process. Lett. 25(9): 1374-1378 (2018) - [j39]Mingming Zhang, Sheng Quan Xie, Xiaolong Li, Guoli Zhu, Wei Meng, Xiaolin Huang, Allan J. Veale:
Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) With Enhanced Training Safety. IEEE Trans. Ind. Electron. 65(2): 1398-1407 (2018) - [j38]Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. IEEE Trans. Image Process. 27(6): 2777-2790 (2018) - [j37]Xiaolin Huang, Johan A. K. Suykens, Shuning Wang, Joachim Hornegger, Andreas K. Maier:
Classification With Truncated $\ell _{1}$ Distance Kernel. IEEE Trans. Neural Networks Learn. Syst. 29(5): 2025-2030 (2018) - [j36]Jia Cai, Xiaolin Huang:
Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4957-4966 (2018) - [c30]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Nonlinear Pairwise Layer and Its Training for Kernel Learning. AAAI 2018: 3659-3666 - [c29]Daniel Stromer, Vincent Christlein, Andreas K. Maier, Patrick Zippert, Eric Helmecke, Tino Hausotte, Xiaolin Huang:
Non-destructive Digitization of Soiled Historical Chinese Bamboo Scrolls. DAS 2018: 55-60 - [c28]Xiao Han, Haiyan Yang, Xiaolin Huang:
Review on One-Bit Compressive Sensing and its Biomedical Applications. DSP 2018: 1-5 - [c27]Xiang Li, Chao Ma, Jie Yang, Xiaolin Huang:
Discrete Locally-Linear Preserving Hashing. ICIP 2018: 490-494 - [c26]Xingyu Chen, Chen Gong, Chao Ma, Xiaolin Huang, Jie Yang:
Privileged Semi-Supervised Learning. ICIP 2018: 2999-3003 - [c25]Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang:
Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. MICCAI (2) 2018: 876-884 - [c24]HuangKai Cai, He Jiang, Xiaolin Huang, Jie Yang, Xiangjian He:
Violence Detection Based on Spatio-Temporal Feature and Fisher Vector. PRCV (1) 2018: 180-190 - [c23]Sanli Tang, Haoyuan Chi, Jie Yang, Xiaolin Huang, Masoumeh Zareapoor:
Deep Supervised Auto-encoder Hashing for Image Retrieval. PRCV (2) 2018: 193-205 - [c22]HuangKai Cai, He Jiang, Xiaolin Huang, Jie Yang:
New Motion Estimation with Angular-Distance Median Filter for Frame Interpolation. PRCV (1) 2018: 360-371 - [i13]Wei Liu, Wei Xu, Xiaogang Chen, Xiaolin Huang, Chunhua Shen, Jie Yang:
Edge-Preserving Piecewise Linear Image Smoothing Using Piecewise Constant Filters. CoRR abs/1801.06928 (2018) - [i12]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Nonparametric Kernels. CoRR abs/1808.10724 (2018) - [i11]Sanli Tang, Xiaolin Huang, Mingjian Chen, Jie Yang:
Adversarial Attack Type I: Generating False Positives. CoRR abs/1809.00594 (2018) - [i10]Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan:
Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties. CoRR abs/1809.09219 (2018) - [i9]Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens:
Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions. CoRR abs/1809.09910 (2018) - [i8]Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang:
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. CoRR abs/1810.05943 (2018) - [i7]Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang:
Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. CoRR abs/1812.07122 (2018) - 2017
- [j35]Chao Shang, Xiaolin Huang, Fengqi You:
Data-driven robust optimization based on kernel learning. Comput. Chem. Eng. 106: 464-479 (2017) - [j34]Jia Cai, Xiaolin Huang:
Robust kernel canonical correlation analysis with applications to information retrieval. Eng. Appl. Artif. Intell. 64: 33-42 (2017) - [j33]Qinghua Tao, Xiaolin Huang, Shuning Wang, Li Li:
Adaptive block coordinate DIRECT algorithm. J. Glob. Optim. 69(4): 797-822 (2017) - [j32]Xinyu Lin, Ce Zhu, Qian Zhang, Xiaolin Huang, Yipeng Liu:
Efficient and Robust Corner Detectors Based on Second-Order Difference of Contour. IEEE Signal Process. Lett. 24(9): 1393-1397 (2017) - [j31]Jian Wang, Roman Schaffert, Anja Borsdorf, Benno Heigl, Xiaolin Huang, Joachim Hornegger, Andreas K. Maier:
Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model. IEEE Trans. Medical Imaging 36(9): 1939-1954 (2017) - [j30]Yipeng Liu, Shan Wu, Xiaolin Huang, Bing Chen, Ce Zhu:
Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction. IEEE Trans. Medical Imaging 36(10): 2148-2159 (2017) - [j29]Xiaolin Huang, Lei Shi, Johan A. K. Suykens:
Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1584-1593 (2017) - [c21]Xiaolin Huang, Yan Xia, Yixing Huang, Joachim Hornegger, Andreas K. Maier:
Overexposure Correction by Mixed One-Bit Compressive Sensing for C-Arm CT. Bildverarbeitung für die Medizin 2017: 50-55 - [c20]Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang:
Self-paced least square semi-coupled dictionary learning for person re-identification. ICIP 2017: 3705-3709 - [c19]Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola K. Kasabov:
Robust Kernel Approximation for Classification. ICONIP (1) 2017: 289-296 - [c18]Haiyan Yang, Xiaolin Huang, Cheng Peng, Jie Yang, Li Li:
A New Bayesian Method for Jointly Sparse Signal Recovery. ICONIP (4) 2017: 886-894 - [c17]Fanghui Liu, Xiaolin Huang, Jie Yang:
Indefinite Kernel Logistic Regression. ACM Multimedia 2017: 846-853 - [c16]Christian Jaremenko, Xiaolin Huang, Emanuela Affronti, Marion Merklein, Andreas K. Maier:
Sheet metal forming limits as classification problem. MVA 2017: 113-116 - [i6]Xiaolin Huang, Yan Xia, Lei Shi, Yixing Huang, Ming Yan, Joachim Hornegger, Andreas K. Maier:
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. CoRR abs/1701.00694 (2017) - [i5]Wei Xiao, Xiaolin Huang, Jorge Silva, Saba Emrani, Arin Chaudhuri:
Online Robust Principal Component Analysis with Change Point Detection. CoRR abs/1702.05698 (2017) - [i4]Xiaolin Huang, Ming Yan:
Non-convex Penalties with Analytical Solutions for One-bit Compressive Sensing. CoRR abs/1706.01014 (2017) - [i3]Fanghui Liu, Xiaolin Huang, Jie Yang:
Indefinite Kernel Logistic Regression. CoRR abs/1707.01826 (2017) - [i2]Yixing Huang, Oliver Taubmann, Xiaolin Huang, Viktor Haase, Guenter Lauritsch, Andreas K. Maier:
Scale-Space Anisotropic Total Variation for Limited Angle Tomography. CoRR abs/1712.06930 (2017) - 2016
- [j28]Yunlong Feng, Yuning Yang, Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens:
Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. Neural Comput. 28(6): 1217-1247 (2016) - [j27]Xiangming Xi, Xiaolin Huang, Johan A. K. Suykens, Shuning Wang:
Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines. Neural Process. Lett. 43(3): 887-903 (2016) - [j26]Yuning Yang, Yunlong Feng, Xiaolin Huang, Johan A. K. Suykens:
Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems. SIAM J. Optim. 26(1): 171-196 (2016) - [j25]Qinghua Tao, Xiaolin Huang, Shuning Wang, Xiangming Xi, Li Li:
Multiple Gaussian graphical estimation with jointly sparse penalty. Signal Process. 128: 88-97 (2016) - [j24]Thomas Köhler, Xiaolin Huang, Frank Schebesch, André Aichert, Andreas K. Maier, Joachim Hornegger:
Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization. IEEE Trans. Computational Imaging 2(1): 42-58 (2016) - [c15]Yixing Huang, Guenter Lauritsch, Mario Amrehn, Oliver Taubmann, Viktor Haase, Daniel Stromer, Xiaolin Huang, Andreas K. Maier:
Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model. Bildverarbeitung für die Medizin 2016: 277-282 - [c14]Junchang Zhao, Xiaolin Huang, Jun Wang:
Attention state assessment by analyzing electroencephalograph signals. CISP-BMEI 2016: 1467-1471 - [c13]Xiaolin Huang, Yuexian Zou, Yi Wang:
Cost-sensitive sparse linear regression for crowd counting with imbalanced training data. ICME 2016: 1-6 - [c12]Yi Wang, Yuexian Zou, Jin Chen, Xiaolin Huang, Cheng Cai:
Example-based visual object counting with a sparsity constraint. ICME 2016: 1-6 - [c11]Yixing Huang, Oliver Taubmann, Xiaolin Huang, Viktor Haase, Günter Lauritsch, Andreas K. Maier:
A new weighted anisotropic total variation algorithm for limited angle tomography. ISBI 2016: 585-588 - 2015
- [j23]Xiaolin Huang, Lei Shi, Johan A. K. Suykens:
Sequential minimal optimization for SVM with pinball loss. Neurocomputing 149: 1596-1603 (2015) - [j22]Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A. K. Suykens:
Learning with the maximum correntropy criterion induced losses for regression. J. Mach. Learn. Res. 16: 993-1034 (2015) - [j21]Li Li, Xiaolin Huang, Johan A. K. Suykens:
Signal recovery for jointly sparse vectors with different sensing matrices. Signal Process. 108: 451-458 (2015) - [j20]Xiaolin Huang, Yipeng Liu, Lei Shi, Sabine Van Huffel, Johan A. K. Suykens:
Two-level ℓ1 minimization for compressed sensing. Signal Process. 108: 459-475 (2015) - [c10]Hui Wang, Xiaolin Huang, Yipeng Liu, Sabine Van Huffel, Qun Wan:
Binary Reweighted l1-Norm Minimization for One-Bit Compressed Sensing. BIOSIGNALS 2015: 206-210 - [i1]Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens:
Pinball Loss Minimization for One-bit Compressive Sensing. CoRR abs/1505.03898 (2015) - 2014
- [j19]Lei Shi, Xiaolin Huang, Zheng Tian, Johan A. K. Suykens:
Quantile regression with ℓ 1 - regularization and Gaussian kernels. Adv. Comput. Math. 40(2): 517-551 (2014) - [j18]Xiaolin Huang, Lei Shi, Johan A. K. Suykens:
Asymmetric least squares support vector machine classifiers. Comput. Stat. Data Anal. 70: 395-405 (2014) - [j17]Xiaolin Huang, Lei Shi, Kristiaan Pelckmans, Johan A. K. Suykens:
Asymmetric v-tube support vector regression. Comput. Stat. Data Anal. 77: 371-382 (2014) - [j16]Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens:
Non-parallel support vector classifiers with different loss functions. Neurocomputing 143: 294-301 (2014) - [j15]Xiaolin Huang, Lei Shi, Johan A. K. Suykens:
Ramp loss linear programming support vector machine. J. Mach. Learn. Res. 15(1): 2185-2211 (2014) - [j14]Xiaolin Huang, Lei Shi, Johan A. K. Suykens:
Support Vector Machine Classifier With Pinball Loss. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 984-997 (2014) - [c9]Chengyu Huo, Yi Lu, Xiaolin Huang, Hongxing Liu, Xinbao Ning:
Multi-scale recurrence quantification analysis of heartbeat interval series in healthy vs. Heart failure subjects. BMEI 2014: 347-352 - 2013
- [j13]Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens:
Support vector machines with piecewise linear feature mapping. Neurocomputing 117: 118-127 (2013) - [j12]Fanglin Chen, Xiaolin Huang, Jie Zhou:
Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification. IEEE Trans. Image Process. 22(12): 4964-4971 (2013) - [j11]Xiaolin Huang, Marin Matijas, Johan A. K. Suykens:
Hinging Hyperplanes for Time-Series Segmentation. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1279-1291 (2013) - [c8]Vilen Jumutc, Xiaolin Huang, Johan A. K. Suykens:
Fixed-size Pegasos for hinge and pinball loss SVM. IJCNN 2013: 1-7 - 2012
- [j10]Xiaolin Huang, Jun Xu, Xiaomu Mu, Shuning Wang:
The hill detouring method for minimizing hinging hyperplanes functions. Comput. Oper. Res. 39(7): 1763-1770 (2012) - [j9]Xiaolin Huang, Jun Xu, Shuning Wang:
Nonlinear system identification with continuous piecewise linear neural network. Neurocomputing 77(1): 167-177 (2012) - [j8]Xiaolin Huang, Jun Xu, Shuning Wang:
Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming. J. Optim. Theory Appl. 155(1): 145-164 (2012) - 2011
- [j7]Wenbin Chen, Caihua Xiong, Ronglei Sun, Xiaolin Huang:
A 10-Degree of Freedom Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism. Int. J. Humanoid Robotics 8(1): 47-71 (2011) - [j6]Xianzhi Jiang, Caihua Xiong, Ronglei Sun, Xiaolin Huang, Youlun Xiong:
Static and dynamic characteristics of rehabilitation joint powered by pneumatic muscles. Ind. Robot 38(5): 486-491 (2011) - [c7]Wenbin Chen, Caihua Xiong, Ronglei Sun, Xiaolin Huang:
Humanoid Motion Planning in the Goal Reaching Movement of Anthropomorphic Upper Limb. ICIRA (1) 2011: 183-191 - 2010
- [j5]Shuning Wang, Xiaolin Huang, Yeung Yam:
A neural network of smooth hinge functions. IEEE Trans. Neural Networks 21(9): 1381-1395 (2010) - [c6]Jun Xu, Xiaolin Huang, Shuning Wang:
Stability analysis of planar continuous piecewise linear systems. ACC 2010: 2505-2510 - [c5]Xiaolin Huang, Jun Xu, Shuning Wang:
Identification algorithm for standard continuous piecewise linear neural network. ACC 2010: 4931-4936 - [c4]Xiaolin Huang, Jun Xu, Shuning Wang:
Operation optimization for centrifugal chiller plants using continuous piecewise linear programming. SMC 2010: 1121-1126
2000 – 2009
- 2009
- [j4]Wenbin Chen, Caihua Xiong, Xiaolin Huang, Ronglei Sun, Youlun Xiong:
Manipulator Workspace Boundary Extraction and Its Application in Workspace Analysis of the Human's Upper Extremity. Adv. Robotics 23(10): 1393-1410 (2009) - [j3]Jun Xu, Xiaolin Huang, Shuning Wang:
Adaptive hinging hyperplanes and its applications in dynamic system identification. Autom. 45(10): 2325-2332 (2009) - [j2]Caihua Xiong, Xianzhi Jiang, Ronglei Sun, Xiaolin Huang, Youlun Xiong:
Control methods for exoskeleton rehabilitation robot driven with pneumatic muscles. Ind. Robot 36(3): 210-220 (2009) - [c3]Jun Xu, Xiaolin Huang, Shuning Wang:
Nonlinear model predictive control using adaptive hinging hyperplanes model. CDC 2009: 2598-2603 - [c2]Wenbin Chen, Caihua Xiong, Ronglei Sun, Xiaolin Huang:
On the Design of Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism. ICIRA 2009: 1097-1110 - 2008
- [j1]Shuning Wang, Xiaolin Huang, Junaid M. Khan:
Configuration of Continuous Piecewise-Linear Neural Networks. IEEE Trans. Neural Networks 19(8): 1431-1445 (2008) - [c1]Xiaolin Huang, Xinbao Ning:
A Second-Order Mapping PCA Based Intrinsic Dimension Estimate for Nonlinear Time Series. ICNC (1) 2008: 274-279
Coauthor Index
[j110] [j109] [j108] [j107] [j106] [j105] [j104] [i90] [i83] [i77] [j95] [j89] [j87] [i67] [j84] [j81] [j80] [j71] [c55] [p1] [i54] [j69] [j68] [j67] [j66] [j65] [j64] [c47] [c46] [c45] [c44] [i47] [i46] [i42] [j62] [j61] [j60] [j58] [j57] [j56] [c41] [c40] [c38] [c36] [c35] [c34] [i35] [i34] [i32] [i30] [i28] [i26] [i25] [i23] [j55] [j50] [j49] [c31] [i22] [i21] [i20] [i19] [i16] [i14] [j47] [j41] [j38] [c30] [c27] [c26] [c25] [c24] [c23] [c22] [i13] [i12] [i11] [i9] [i8] [i7] [c20] [c19] [c18] [c17] [i3]
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