Xiaolin Huang - RankMe

311 papers A* 21A 5B 18C 4Misc 3Journal 219Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information. CoRR Xinwen Cheng, Jingyuan Zhang, Zhehao Huang, Yingwen Wu, Xiaolin Huang
2026	J	`jnl`	Data imputation by pursuing better classification: A supervised kernel-based method. Pattern Recognit. Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang
2026	J	`jnl`	RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format. CoRR Zhehao Huang, Yuhang Liu, Baijiong Lin, Yixin Lou, Zhengbao He, Hanling Tian, Tao Li, Xiaolin Huang
2025	J	`jnl`	A Decentralized Framework for Kernel PCA With Projection Consensus Constraints. IEEE Trans. Pattern Anal. Mach. Intell. Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang
2025	J	`jnl`	A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning. CoRR Zhehao Huang, Xinwen Cheng, Jie Zhang, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang
2025	J	`jnl`	Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models. CoRR Yuhang Liu, Tao Li, Zhehao Huang, Zuopeng Yang, Xiaolin Huang
2025	J	`jnl`	Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature. IEEE Trans. Neural Networks Learn. Syst. Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang
2025	A*	`conf`	Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape. ICML Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang
2025	J	`jnl`	Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations. CoRR Kun Fang, Qinghua Tao, Mingzhen He, Kexin Lv, Runze Yang, Haibo Hu, Xiaolin Huang, Jie Yang, Longbing Cao
2025	J	`jnl`	MOOD: Leveraging Out-of-Distribution Data to Enhance Imbalanced Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Yang Lu, Xiaolin Huang, Yizhou Chen, Mengke Li, Yan Yan, Chen Gong, Hanzi Wang
2025	J	`jnl`	MUSO: achieving exact machine unlearning in over-parameterized regimes. Mach. Learn. Ruikai Yang, Mingzhen He, Zhenghao He, Youmei Qiu, Xiaolin Huang
2025	J	`jnl`	Multi-head ensemble of smoothed classifiers for certified robustness. Neural Networks Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2025	J	`jnl`	PRDepth: Pose Refinement Enhancement-Based Monocular Depth Estimation for Indoor Scenes. IEEE Trans. Instrum. Meas. Chenggong Han, Chen Lv, Xiaolin Huang, Qiqi Kou, Deqiang Cheng, He Jiang
2025	A*	`conf`	ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis. AAAI Xinyu Geng, Jiaming Wang, Xiaolin Huang, Fanglin Chen, Jun Xu
2025	A*	`conf`	Primphormer: Efficient Graph Transformers with Primal Representations. ICML Mingzhen He, Ruikai Yang, Hanling Tian, Youmei Qiu, Xiaolin Huang
2025	A*	`conf`	Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. ICLR Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
2025	A	`conf`	SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain. IROS Xiaoying Li, Long Xu, Xiaolin Huang, Donglai Xue, Zhihao Zhang, Zhichao Han, Chao Xu, Yanjun Cao, Fei Gao
2025	J	`jnl`	SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain. CoRR Xiaoying Li, Long Xu, Xiaolin Huang, Donglai Xue, Zhihao Zhang, Zhichao Han, Chao Xu, Yanjun Cao, Fei Gao
2025	A*	`conf`	Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks. ICLR Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang
2025	—	`conf`	Stimulating Catastrophic Forgetting in Class-Wise Unlearning via UAP. ECML/PKDD (5) Wenxing Zhou, Xinwen Cheng, Yingwen Wu, Ruikai Yang, Xiaolin Huang
2025	J	`jnl`	T2I-ConBench: Text-to-Image Benchmark for Continual Post-training. CoRR Zhehao Huang, Yuhang Liu, Yixin Lou, Zhengbao He, Mingzhen He, Wenxing Zhou, Tao Li, Kehan Li, Zeyi Huang, Xiaolin Huang
2025	J	`jnl`	Towards Natural Machine Unlearning. IEEE Trans. Pattern Anal. Mach. Intell. Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang
2025	J	`jnl`	VL-RouterBench: A Benchmark for Vision-Language Model Routing. CoRR Zhehao Huang, Baijiong Lin, Jingyuan Zhang, Jingying Wang, Yuhang Liu, Ning Lu, Tao Li, Xiaolin Huang
2024	A	`conf`	Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation. ICME Xiaolin Huang, Biqing Zeng, Jiahui Pan, Yujiang Yao, Zheng Zhou, Bingzhi Chen
2024	J	`jnl`	Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation. IEEE Trans. Instrum. Meas. Bingzhi Chen, Xiaolin Huang, Yishu Liu, Zheng Zhang, Guangming Lu, Zheng Zhou, Jiahui Pan
2024	J	`jnl`	Boosting certified robustness via an expectation-based similarity regularization. Image Vis. Comput. Jiawen Li, Kun Fang, Xiaolin Huang, Jie Yang
2024	J	`jnl`	Consensus-based distributed algorithm for GEP. Signal Process. Kexin Lv, Fan He, Xiaolin Huang, Jie Yang
2024	J	`jnl`	DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection. CoRR Kun Fang, Qinghua Tao, Zuopeng Yang, Xiaolin Huang, Jie Yang
2024	J	`jnl`	Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method. CoRR Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang
2024	J	`jnl`	Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature. CoRR Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang
2024	B	`conf`	Efficient Black-Box Adversarial Attack on Deep Clustering Models. ICIP Nan Yang, Zihan Li, Zhen Long, Xiaolin Huang, Ce Zhu, Yipeng Liu
2024	—	`conf`	Enhancing Semi-supervised Medical Image Segmentation with Asymmetric and Adversarial Cooperative Training. ICONIP (8) Xiaolin Huang, Binzhi Chen, Jiacheng Chen, Jingchun Lin, Ruihua Nie, Jun Liang
2024	J	`jnl`	Fast Global Image Smoothing via Quasi Weighted Least Squares. Int. J. Comput. Vis. Wei Liu, Pingping Zhang, Hongxing Qin, Xiaolin Huang, Jie Yang, Michael Ng
2024	J	`jnl`	Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape. CoRR Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang
2024	A*	`conf`	Friendly Sharpness-Aware Minimization. CVPR Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang
2024	J	`jnl`	Friendly Sharpness-Aware Minimization. CoRR Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang
2024	J	`jnl`	Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty. IEEE Trans. Neural Networks Learn. Syst. Fan He, Mingzhen He, Lei Shi, Xiaolin Huang
2024	J	`jnl`	Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization. IEEE Trans. Circuits Syst. Video Technol. Tianshu Chu, Zuopeng Yang, Xiaolin Huang
2024	J	`jnl`	Inverse-Free Fast Natural Gradient Descent Method for Deep Learning. CoRR Xinwei Ou, Ce Zhu, Xiaolin Huang, Yipeng Liu
2024	A*	`conf`	Kernel PCA for Out-of-Distribution Detection. NeurIPS Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
2024	J	`jnl`	Kernel PCA for Out-of-Distribution Detection. CoRR Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
2024	J	`jnl`	Learn What You Need in Personalized Federated Learning. CoRR Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen
2024	J	`jnl`	Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning. CoRR Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2024	—	`conf`	Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. ECCV (65) Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok
2024	J	`jnl`	Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. CoRR Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok
2024	J	`jnl`	Low-Dimensional Gradient Helps Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang
2024	J	`jnl`	MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes. CoRR Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang
2024	J	`jnl`	Machine Unlearning by Suppressing Sample Contribution. CoRR Xinwen Cheng, Zhehao Huang, Xiaolin Huang
2024	B	`conf`	Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification. IJCNN Zhilong Xiong, Jia Cai, Ranhui Yan, Xiaolin Huang
2024	J	`jnl`	Online Continual Learning via Logit Adjusted Softmax. Trans. Mach. Learn. Res. Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
2024	A*	`conf`	OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning. CVPR Xinyu Geng, Jiaming Wang, Jiawei Gong, Yuerong Xue, Jun Xu, Fanglin Chen, Xiaolin Huang
2024	J	`jnl`	OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning. CoRR Xinyu Geng, Jiaming Wang, Jiawei Gong, Yuerong Xue, Jun Xu, Fanglin Chen, Xiaolin Huang
2024	Misc	`conf`	Phase Retrieval by Tensor Total Least Squares. ICASSP Jiani Liu, Ce Zhu, Yang Chen, Xiaolin Huang, Yipeng Liu
2024	—	`conf`	Progressive Stepwise Diffusion Model with Dual Decoders for Semi-Supervised Medical Image Segmentation. BIBM Xiaolin Huang, Jingchun Lin, Jiacheng Chen, Xiao Ma, Bingzhi Chen, Guangming Lu
2024	J	`jnl`	Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. CoRR Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
2024	—	`conf`	Quantifying the Nonlinear Dynamic Complexity of Cognitive EEG by Conditional Entropy Based on Different Entropy Measures. CISP-BMEI Wei Lu, Jiaqi Yu, Jie Ding, Jilong Chen, Yulong Liu, Jiahui Lv, Xiaolin Huang, Jun Wang
2024	J	`jnl`	Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
2024	J	`jnl`	Random fourier features for asymmetric kernels. Mach. Learn. Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
2024	J	`jnl`	Region-Based Unsupervised Low-Light Image Enhancement in the Wild With Explicit Domain Supervision. IEEE Trans. Instrum. Meas. Yingjie Ma, Shuo Xie, Wei Xu, Xinyuan Chen, Xiaolin Huang, Yifei Sun, Wei Liu
2024	J	`jnl`	Resolve Domain Conflicts for Generalizable Remote Physiological Measurement. CoRR Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
2024	J	`jnl`	Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. Int. J. Comput. Vis. Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang
2024	J	`jnl`	Revisiting Random Weight Perturbation for Efficiently Improving Generalization. CoRR Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
2024	J	`jnl`	Revisiting Random Weight Perturbation for Efficiently Improving Generalization. Trans. Mach. Learn. Res. Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
2024	J	`jnl`	Self-Similarity Prior Distillation for Unsupervised Remote Physiological Measurement. IEEE Trans. Multim. Xinyu Zhang, Weiyu Sun, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
2024	J	`jnl`	Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach. Neural Comput. Kexin Lv, Jia Cai, Junyi Huo, Chao Shang, Xiaolin Huang, Jie Yang
2024	J	`jnl`	Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors. IEEE Trans. Ind. Informatics Yihang Zhang, Yingwen Wu, Xiaolin Huang
2024	J	`jnl`	Towards Natural Machine Unlearning. CoRR Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang
2024	J	`jnl`	Towards robust neural networks via orthogonal diversity. Pattern Recognit. Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang
2024	A*	`conf`	Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. NeurIPS Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang
2024	J	`jnl`	Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. CoRR Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang
2023	J	`jnl`	ADSP: An adaptive sample pooling strategy for diagnostic testing. J. Biomed. Informatics Xuekui Zhang, Xiaolin Huang, Li Xing
2023	J	`jnl`	An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet. Expert Syst. Appl. Changhe Zhang, Yangan Li, Zidong Yu, Xiaolin Huang, Jiang Xu, Chao Deng
2023	C	`conf`	Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. ACML Ruiqi Ding, Tao Li, Xiaolin Huang
2023	B	`conf`	Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. IJCNN Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang
2023	—	`conf`	Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. CDC Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin
2023	J	`jnl`	Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. CoRR Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin
2023	—	`conf`	DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. PRCV (9) Xiaolin Huang, Mengke Li, Yang Lu, Hanzi Wang
2023	—	`conf`	Design and Analysis of Secure Localization Against Vulnerability-Induced Attack for Internet of Things. ICCC Workshops Guanghui Wang, Xiaolin Huang, Xueyuan Zhang, Geyuan Liu, Fang Zuo
2023	A*	`conf`	Diffusion Representation for Asymmetric Kernels via Magnetic Transform. NeurIPS Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang
2023	J	`jnl`	End-to-end kernel learning via generative random Fourier features. Pattern Recognit. Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang
2023	J	`jnl`	Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. CoRR Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2023	B	`conf`	FG-UAP: Feature-Gathering Universal Adversarial Perturbation. IJCNN Zhixing Ye, Xinwen Cheng, Xiaolin Huang
2023	J	`jnl`	Improving adversarial robustness through a curriculum-guided reliable distillation. Comput. Secur. Jiawen Li, Kun Fang, Xiaolin Huang, Jie Yang
2023	J	`jnl`	Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. Pattern Recognit. Lett. Tianshu Chu, Kun Fang, Jie Yang, Xiaolin Huang
2023	—	`conf`	Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CVPR Workshops Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
2023	J	`jnl`	Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CoRR Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
2023	J	`jnl`	Learning With Asymmetric Kernels: Least Squares and Feature Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2023	J	`jnl`	Learning non-parametric kernel via matrix decomposition for logistic regression. Pattern Recognit. Lett. Kaijie Wang, Fan He, Mingzhen He, Xiaolin Huang
2023	J	`jnl`	Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang
2023	J	`jnl`	Low-Dimensional Gradient Helps Out-of-Distribution Detection. CoRR Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang
2023	J	`jnl`	Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs. CoRR Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Xiaolin Huang, Johan A. K. Suykens
2023	Misc	`conf`	Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
2023	A*	`conf`	Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. ACM Multimedia Jiquan Zhong, Xiaolin Huang, Xiao Yu
2023	J	`jnl`	Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. CoRR Jiquan Zhong, Xiaolin Huang, Xiao Yu
2023	A*	`conf`	One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
2023	J	`jnl`	Online Continual Learning via Logit Adjusted Softmax. CoRR Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
2023	J	`jnl`	PCR-CG: Point Cloud Registration via Deep Color and Geometry. CoRR Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou
2023	J	`jnl`	Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau. Remote. Sens. Juanjuan Sun, Xueliang Wang, Songfeng Guo, Haiyang Liu, Yu Zou, Xianglong Yao, Xiaolin Huang, Shengwen Qi
2023	A*	`conf`	Resolve Domain Conflicts for Generalizable Remote Physiological Measurement. ACM Multimedia Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
2023	J	`jnl`	Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. CoRR Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang
2023	A*	`conf`	Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
2023	J	`jnl`	Self-similarity Prior Distillation for Unsupervised Remote Physiological Measurement. CoRR Xinyu Zhang, Weiyu Sun, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
2023	A*	`conf`	Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2023	J	`jnl`	Unifying Gradients to Improve Real-World Robustness for Deep Networks. ACM Trans. Intell. Syst. Technol. Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2023	J	`jnl`	Weighted neural tangent kernel: a generalized and improved network-induced kernel. Mach. Learn. Lei Tan, Shutong Wu, Wenxing Zhou, Xiaolin Huang
2022	J	`jnl`	A Decentralized Framework for Kernel PCA with Projection Consensus Constraints. CoRR Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang
2022	J	`jnl`	A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng
2022	J	`jnl`	Adaptive Temporal-Frequency Network for Time-Series Forecasting. IEEE Trans. Knowl. Data Eng. Zhangjing Yang, Weiwu Yan, Xiaolin Huang, Lin Mei
2022	A*	`conf`	Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022	J	`jnl`	Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022	J	`jnl`	Bubble transfer spectral entropy and its application in epilepsy EEG analysis. Commun. Nonlinear Sci. Numer. Simul. Yujia Mi, Aijing Lin, Danlei Gu, Xiyun Zhang, Xiaolin Huang
2022	J	`jnl`	DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification. Pattern Recognit. Jingzheng Tu, Cailian Chen, Xiaolin Huang, Jianping He, Xinping Guan
2022	J	`jnl`	Disparity-constrained stereo endoscopic image super-resolution. Int. J. Comput. Assist. Radiol. Surg. Tianyi Zhang, Yun Gu, Xiaolin Huang, Jie Yang, Guang-Zhong Yang
2022	J	`jnl`	Efficient Generalization Improvement Guided by Random Weight Perturbation. CoRR Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang
2022	J	`jnl`	FG-UAP: Feature-Gathering Universal Adversarial Perturbation. CoRR Zhixing Ye, Xinwen Cheng, Xiaolin Huang
2022	C	`conf`	Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. CIBCB Shuai You, Xiaolin Huang, Li Xing, Youlian Pan, Xuekui Zhang
2022	J	`jnl`	Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling. IEEE Trans. Image Process. Tingman Yan, Xiaolin Huang, Qunfei Zhao
2022	J	`jnl`	Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. CoRR Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2022	J	`jnl`	Multivariate uncertain risk aversion with application to accounts receivables pricing. Soft Comput. Ke Wang, Xiaolin Huang, Shuang Hu, Hongwei Wang, Mingxuan Zhao, Jian Zhou
2022	—	`conf`	Mutual Diverse-Label Adversarial Training. ICONIP (1) Mingzhe Li, Sizhe Chen, Xiaolin Huang
2022	J	`jnl`	On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness. CoRR Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2022	J	`jnl`	One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
2022	—	`conf`	One-shot Distributed Algorithm for Generalized Eigenvalue Problem. ICCAI Kexin Lv, Zheng Sun, Fan He, Xiaolin Huang, Jie Yang
2022	—	`conf`	PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. ECCV (10) Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou
2022	J	`jnl`	Piecewise Linear Neural Networks and Deep Learning. CoRR Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens
2022	J	`jnl`	Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2022	J	`jnl`	Random Fourier Features for Asymmetric Kernels. CoRR Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
2022	J	`jnl`	Relevance attack on detectors. Pattern Recognit. Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang
2022	J	`jnl`	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 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
2022	—	`conf`	Scheme And Dataset for Evaluating Computer-Aided Polyp Detection System in Colonoscopy. ISBI Leyu Yao, Fan He, Xiaofeng Wang, Lu Zhou, Haixia Peng, Xiaolin Huang
2022	J	`jnl`	Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
2022	A*	`conf`	Subspace Adversarial Training. CVPR Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2022	J	`jnl`	Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification. IEEE Trans. Medical Imaging Yun Gu, Yunze Xu, Xiaolin Huang, Jie Yang, Wei Xue, Guang-Zhong Yang
2022	J	`jnl`	Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2022	J	`jnl`	Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2022	J	`jnl`	Unifying Gradients to Improve Real-world Robustness for Deep Networks. CoRR Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2022	J	`jnl`	Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. IEEE Trans. Pattern Anal. Mach. Intell. Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang
2022	—	`ch.`	Universal Adversarial Perturbation Generated by Using Attention Information. Advances in Intelligent Systems Research and Innovation Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	Unsupervised Image Restoration With Quality-Task-Perception Loss. IEEE Trans. Circuits Syst. Video Technol. Wei Xu, Xinyuan Chen, Haoming Guo, Xiaolin Huang, Wei Liu
2022	J	`jnl`	WPPG Net: A Non-contact Video Based Heart Rate Extraction Network Framework with Compatible Training Capability. CoRR Weiyu Sun, Xinyu Zhang, Ying Chen, Yun Ge, Chunyu Ji, Xiaolin Huang
2021	J	`jnl`	A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng
2021	B	`conf`	ADVMIX: Data Augmentation for Accurate Scene Text Spotting. ICIP Yizhang Huang, Kun Fang, Xiaolin Huang, Jie Yang
2021	J	`jnl`	Adaptive Feature Alignment for Adversarial Training. CoRR Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang
2021	J	`jnl`	Adversarial Attack Type I: Cheat Classifiers by Significant Changes. IEEE Trans. Pattern Anal. Mach. Intell. Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang
2021	J	`jnl`	Analysis of regularized least-squares in reproducing kernel Kreĭn spaces. Mach. Learn. Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2021	—	`conf`	Asymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation. ISBI Chunyu Dong, Qunfei Zhao, Kun Chen, Xiaolin Huang
2021	—	`conf`	CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation. ICCVW Qi Xu, Yinan Ma, Jing Wu, Chengnian Long, Xiaolin Huang
2021	—	`conf`	Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training. ISBI Fan He, Sizhe Chen, Shuaiyi Li, Lu Zhou, Haiqin Zhang, Haixia Peng, Xiaolin Huang
2021	J	`jnl`	Dominant Patterns: Critical Features Hidden in Deep Neural Networks. CoRR Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang
2021	A	`conf`	Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures. AISTATS Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens
2021	J	`jnl`	Generalization Properties of hyper-RKHS and its Applications. J. Mach. Learn. Res. Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2021	J	`jnl`	Going Far Boosts Attack Transferability, but Do Not Do It. CoRR Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
2021	B	`conf`	Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. ICIP Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang
2021	J	`jnl`	Intensive Care Unit False Alarm Identification Based on Convolution Neural Network. IEEE Access Qiang Yu, Cheng Wang, Jing Xi, Ying Chen, Weifeng Li, Yun Ge, Xiaolin Huang
2021	J	`jnl`	Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE Trans. Medical Imaging Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang
2021	J	`jnl`	Mixed-precision quantized neural networks with progressively decreasing bitwidth. Pattern Recognit. Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang
2021	J	`jnl`	One-Shot Distributed Algorithm for PCA With RBF Kernels. IEEE Signal Process. Lett. Fan He, Kexin Lv, Jie Yang, Xiaolin Huang
2021	J	`jnl`	QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
2021	B	`conf`	Residual Enhanced Multi-Hypergraph Neural Network. ICIP Jing Huang, Xiaolin Huang, Jie Yang
2021	J	`jnl`	Residual Enhanced Multi-Hypergraph Neural Network. CoRR Jing Huang, Xiaolin Huang, Jie Yang
2021	—	`conf`	Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. Bildverarbeitung für die Medizin Jintian Xu, Chengjin Sun, Yixing Huang, Xiaolin Huang
2021	J	`jnl`	Semi-tensor Product-based TensorDecomposition for Neural Network Compression. CoRR Hengling Zhao, Yipeng Liu, Xiaolin Huang, Ce Zhu
2021	J	`jnl`	Subspace Adversarial Training. CoRR Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2021	—	`conf`	Temperature Control-based FCS-MPC of Traction Converters CAA SAFEPROCESS Tao Peng, Xiaolin Huang, Chao Yang, Zhiwen Chen, Qiang Liu, Xinyu Fan
2021	B	`conf`	Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. IJCNN Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang
2021	J	`jnl`	Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. CoRR Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang
2021	J	`jnl`	Train Deep Neural Networks in 40-D Subspaces. CoRR Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang
2021	J	`jnl`	Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel. CoRR Lei Tan, Shutong Wu, Xiaolin Huang
2020	J	`jnl`	A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis. CoRR Fan He, Xiaolin Huang, Kexin Lv, Jie Yang
2020	J	`jnl`	A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A. K. Suykens
2020	A*	`conf`	A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. AAAI Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid
2020	B	`conf`	A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. ESANN Fan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang
2020	J	`jnl`	Adversarial Imitation Attack. CoRR Mingyi Zhou, Jing Wu, Yipeng Liu, Xiaolin Huang, Shuaicheng Liu, Xiang Zhang, Ce Zhu
2020	J	`jnl`	Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces. CoRR Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2020	J	`jnl`	Attack on Multi-Node Attention for Object Detection. CoRR Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang
2020	J	`jnl`	Double Backpropagation for Training Autoencoders against Adversarial Attack. CoRR Chengjin Sun, Sizhe Chen, Xiaolin Huang
2020	B	`conf`	Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. ICPR Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong
2020	J	`jnl`	Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. IEEE Trans. Circuits Syst. Video Technol. Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang
2020	J	`jnl`	End-to-end Kernel Learning via Generative Random Fourier Features. CoRR Kun Fang, Xiaolin Huang, Fanghui Liu, Jie Yang
2020	J	`jnl`	Generalizing Random Fourier Features via Generalized Measures. CoRR Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens
2020	J	`jnl`	Generate High-Resolution Adversarial Samples by Identifying Effective Features. CoRR Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang
2020	J	`jnl`	Learn Robust Features via Orthogonal Multi-Path. CoRR Kun Fang, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2020	—	`conf`	Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. MICCAI (1) Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu
2020	J	`jnl`	Learning Data-adaptive Non-parametric Kernels. J. Mach. Learn. Res. Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li
2020	J	`jnl`	Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. CoRR Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang
2020	B	`conf`	Learning from partially labeled data. ESANN Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
2020	J	`jnl`	Learning in-place residual homogeneity for single image detail enhancement. J. Electronic Imaging He Jiang, Mujtaba Asad, Xiaolin Huang, Jie Yang
2020	J	`jnl`	Online Robust Principal Component Analysis With Change Point Detection. IEEE Trans. Multim. Wei Xiao, Xiaolin Huang, Fan He, Jorge Silva, Saba Emrani, Arin Chaudhuri
2020	J	`jnl`	Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond. CoRR Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2020	A*	`conf`	Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. AAAI Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens
2020	J	`jnl`	Real-time Image Smoothing via Iterative Least Squares. CoRR Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid
2020	J	`jnl`	Real-time Image Smoothing via Iterative Least Squares. ACM Trans. Graph. Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid
2020	J	`jnl`	SCCNN: A Diagnosis Method for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Siamese Cross Contrast Neural Network. IEEE Access Qiyuan Wang, Zhongmin Wang, Yu Sun, Xin Zhang, Weifeng Li, Yun Ge, Xiaolin Huang, Yun Liu, Ying Chen
2020	J	`jnl`	Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach. CoRR Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang
2020	J	`jnl`	Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. CoRR Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang
2020	J	`jnl`	Toward Making Unsupervised Graph Hashing Discriminative. IEEE Trans. Multim. Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang
2020	J	`jnl`	Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. CoRR Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2020	B	`conf`	Type I Attack For Generative Models. ICIP Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang
2020	J	`jnl`	Type I Attack for Generative Models. CoRR Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang
2020	J	`jnl`	Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. CoRR Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang
2020	—	`conf`	Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation. IEEE Conf. on Intelligent Systems Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid
2019	J	`jnl`	A liver fibrosis staging method using cross-contrast network. Expert Syst. Appl. Yudan Huang, Ying Chen, Haochuan Zhu, Weifeng Li, Yun Ge, Xiaolin Huang, Jian He
2019	—	`conf`	AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. MICCAI (6) Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang
2019	J	`jnl`	AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. CoRR Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang
2019	J	`jnl`	DAmageNet: A Universal Adversarial Dataset. CoRR Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun
2019	—	`conf`	Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. MLMIR@MICCAI Yixing Huang, Alexander Preuhs, Günter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas Maier
2019	J	`jnl`	Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. CoRR Yixing Huang, Alexander Preuhs, Guenter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas K. Maier
2019	J	`jnl`	Deep Kernel Learning via Random Fourier Features. CoRR Jiaxuan Xie, Fanghui Liu, Kaijie Wang, Xiaolin Huang
2019	J	`jnl`	Guest Editorial introduction to the Focused section on wearable sensors, actuators, and robots for rehabilitation. Int. J. Intell. Robotics Appl. Shane S. Q. Xie, Samit Chakrabarty, Jen-Yuan (James) Chang, Chao-Chieh Lan, Xiaolin Huang, Andrew McDaid
2019	J	`jnl`	Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure. IEEE Trans. Neural Networks Learn. Syst. Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Johan A. K. Suykens
2019	J	`jnl`	Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection. CoRR Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang
2019	J	`jnl`	Online PCB Defect Detector On A New PCB Defect Dataset. CoRR Sanli Tang, Fan He, Xiaolin Huang, Jie Yang
2019	J	`jnl`	Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. CoRR Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens
2019	J	`jnl`	Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. CoRR Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao
2019	J	`jnl`	Robust mixed one-bit compressive sensing. Signal Process. Xiaolin Huang, Haiyan Yang, Yixing Huang, Lei Shi, Fan He, Andreas K. Maier, Ming Yan
2019	J	`jnl`	Sparse Indefinite Kernel Learning on Sphere. Aust. J. Intell. Inf. Process. Syst. Jiaxuan Xie, Fanghui Liu, Xiaolin Huang, Jie Yang
2019	J	`jnl`	Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization. J. Mach. Learn. Res. Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A. K. Suykens
2019	—	`conf`	Using Features Extracted From Vital Time Series for Early Prediction of Sepsis. CinC Qiang Yu, Xiaolin Huang, Weifeng Li, Cheng Wang, Ying Chen, Yun Ge
2019	J	`jnl`	Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. IEEE Trans. Medical Imaging Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang
2018	J	`jnl`	A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot. J. Intell. Robotic Syst. Mingming Zhang, Jinghui Cao, Sheng Quan Xie, Guoli Zhu, Xiangfeng Zeng, Xiaolin Huang, Qun Xu
2018	J	`jnl`	Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) With Enhanced Training Safety. IEEE Trans. Ind. Electron. Mingming Zhang, Sheng Quan Xie, Xiaolong Li, Guoli Zhu, Wei Meng, Xiaolin Huang, Allan J. Veale
2018	J	`jnl`	Adversarial Attack Type I: Generating False Positives. CoRR Sanli Tang, Xiaolin Huang, Mingjian Chen, Jie Yang
2018	J	`jnl`	Classification With Truncated $\ell _{1}$ Distance Kernel. IEEE Trans. Neural Networks Learn. Syst. Xiaolin Huang, Johan A. K. Suykens, Shuning Wang, Joachim Hornegger, Andreas K. Maier
2018	J	`jnl`	Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition. Comput. Math. Methods Medicine Weifeng Li, Yuxiaotong Shen, Jie Zhang, Xiaolin Huang, Ying Chen, Yun Ge
2018	—	`conf`	Deep Supervised Auto-encoder Hashing for Image Retrieval. PRCV (2) Sanli Tang, Haoyuan Chi, Jie Yang, Xiaolin Huang, Masoumeh Zareapoor
2018	B	`conf`	Discrete Locally-Linear Preserving Hashing. ICIP Xiang Li, Chao Ma, Jie Yang, Xiaolin Huang
2018	J	`jnl`	Edge-Preserving Piecewise Linear Image Smoothing Using Piecewise Constant Filters. CoRR Wei Liu, Wei Xu, Xiaogang Chen, Xiaolin Huang, Chunhua Shen, Jie Yang
2018	J	`jnl`	Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. CoRR Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang
2018	J	`jnl`	Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties. IEEE Signal Process. Lett. Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan
2018	J	`jnl`	Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties. CoRR Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan
2018	J	`jnl`	Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions. CoRR Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2018	J	`jnl`	Indefinite kernel spectral learning. Pattern Recognit. Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
2018	J	`jnl`	Learning Data-adaptive Nonparametric Kernels. CoRR Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li
2018	J	`jnl`	Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties. IEEE Trans. Neural Networks Learn. Syst. Jia Cai, Xiaolin Huang
2018	J	`jnl`	Multi-modal self-paced learning for image classification. Neurocomputing Wei Xu, Wei Liu, Xiaolin Huang, Jie Yang, Song Qiu
2018	J	`jnl`	Multi-task classification with sequential instances and tasks. Signal Process. Image Commun. Wei Xu, Wei Liu, Haoyuan Chi, Xiaolin Huang, Jie Yang
2018	—	`conf`	New Motion Estimation with Angular-Distance Median Filter for Frame Interpolation. PRCV (1) HuangKai Cai, He Jiang, Xiaolin Huang, Jie Yang
2018	B	`conf`	Non-destructive Digitization of Soiled Historical Chinese Bamboo Scrolls. DAS Daniel Stromer, Vincent Christlein, Andreas K. Maier, Patrick Zippert, Eric Helmecke, Tino Hausotte, Xiaolin Huang
2018	J	`jnl`	Nonconvex penalties with analytical solutions for one-bit compressive sensing. Signal Process. Xiaolin Huang, Ming Yan
2018	A*	`conf`	Nonlinear Pairwise Layer and Its Training for Kernel Learning. AAAI Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li
2018	J	`jnl`	Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms. Neurocomputing Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
2018	J	`jnl`	Postural synergy based design of exoskeleton robot replicating human arm reaching movements. Robotics Auton. Syst. Kai Liu, Caihua Xiong, Lei He, Wen-Bin Chen, Xiaolin Huang
2018	B	`conf`	Privileged Semi-Supervised Learning. ICIP Xingyu Chen, Chen Gong, Chao Ma, Xiaolin Huang, Jie Yang
2018	—	`conf`	Review on One-Bit Compressive Sensing and its Biomedical Applications. DSP Xiao Han, Haiyan Yang, Xiaolin Huang
2018	J	`jnl`	Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. IEEE Trans. Image Process. Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao
2018	—	`conf`	Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. MICCAI (2) Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang
2018	J	`jnl`	Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. CoRR Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang
2018	—	`conf`	Violence Detection Based on Spatio-Temporal Feature and Fisher Vector. PRCV (1) HuangKai Cai, He Jiang, Xiaolin Huang, Jie Yang, Xiangjian He
2017	—	`conf`	A New Bayesian Method for Jointly Sparse Signal Recovery. ICONIP (4) Haiyan Yang, Xiaolin Huang, Cheng Peng, Jie Yang, Li Li
2017	J	`jnl`	Adaptive block coordinate DIRECT algorithm. J. Glob. Optim. Qinghua Tao, Xiaolin Huang, Shuning Wang, Li Li
2017	J	`jnl`	Data-driven robust optimization based on kernel learning. Comput. Chem. Eng. Chao Shang, Xiaolin Huang, Fengqi You
2017	J	`jnl`	Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model. IEEE Trans. Medical Imaging Jian Wang, Roman Schaffert, Anja Borsdorf, Benno Heigl, Xiaolin Huang, Joachim Hornegger, Andreas K. Maier
2017	J	`jnl`	Efficient and Robust Corner Detectors Based on Second-Order Difference of Contour. IEEE Signal Process. Lett. Xinyu Lin, Ce Zhu, Qian Zhang, Xiaolin Huang, Yipeng Liu
2017	J	`jnl`	Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction. IEEE Trans. Medical Imaging Yipeng Liu, Shan Wu, Xiaolin Huang, Bing Chen, Ce Zhu
2017	A*	`conf`	Indefinite Kernel Logistic Regression. ACM Multimedia Fanghui Liu, Xiaolin Huang, Jie Yang
2017	J	`jnl`	Indefinite Kernel Logistic Regression. CoRR Fanghui Liu, Xiaolin Huang, Jie Yang
2017	J	`jnl`	Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. CoRR Xiaolin Huang, Yan Xia, Lei Shi, Yixing Huang, Ming Yan, Joachim Hornegger, Andreas K. Maier
2017	J	`jnl`	Non-convex Penalties with Analytical Solutions for One-bit Compressive Sensing. CoRR Xiaolin Huang, Ming Yan
2017	J	`jnl`	Online Robust Principal Component Analysis with Change Point Detection. CoRR Wei Xiao, Xiaolin Huang, Jorge Silva, Saba Emrani, Arin Chaudhuri
2017	—	`conf`	Overexposure Correction by Mixed One-Bit Compressive Sensing for C-Arm CT. Bildverarbeitung für die Medizin Xiaolin Huang, Yan Xia, Yixing Huang, Joachim Hornegger, Andreas K. Maier
2017	—	`conf`	Robust Kernel Approximation for Classification. ICONIP (1) Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola K. Kasabov
2017	J	`jnl`	Robust kernel canonical correlation analysis with applications to information retrieval. Eng. Appl. Artif. Intell. Jia Cai, Xiaolin Huang
2017	J	`jnl`	Scale-Space Anisotropic Total Variation for Limited Angle Tomography. CoRR Yixing Huang, Oliver Taubmann, Xiaolin Huang, Viktor Haase, Guenter Lauritsch, Andreas K. Maier
2017	B	`conf`	Self-paced least square semi-coupled dictionary learning for person re-identification. ICIP Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang
2017	Misc	`conf`	Sheet metal forming limits as classification problem. MVA Christian Jaremenko, Xiaolin Huang, Emanuela Affronti, Marion Merklein, Andreas K. Maier
2017	J	`jnl`	Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values. IEEE Trans. Neural Networks Learn. Syst. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2016	—	`conf`	A new weighted anisotropic total variation algorithm for limited angle tomography. ISBI Yixing Huang, Oliver Taubmann, Xiaolin Huang, Viktor Haase, Günter Lauritsch, Andreas K. Maier
2016	—	`conf`	Attention state assessment by analyzing electroencephalograph signals. CISP-BMEI Junchang Zhao, Xiaolin Huang, Jun Wang
2016	J	`jnl`	Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines. Neural Process. Lett. Xiangming Xi, Xiaolin Huang, Johan A. K. Suykens, Shuning Wang
2016	A	`conf`	Cost-sensitive sparse linear regression for crowd counting with imbalanced training data. ICME Xiaolin Huang, Yuexian Zou, Yi Wang
2016	A	`conf`	Example-based visual object counting with a sparsity constraint. ICME Yi Wang, Yuexian Zou, Jin Chen, Xiaolin Huang, Cheng Cai
2016	—	`conf`	Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model. Bildverarbeitung für die Medizin Yixing Huang, Guenter Lauritsch, Mario Amrehn, Oliver Taubmann, Viktor Haase, Daniel Stromer, Xiaolin Huang, Andreas K. Maier
2016	J	`jnl`	Multiple Gaussian graphical estimation with jointly sparse penalty. Signal Process. Qinghua Tao, Xiaolin Huang, Shuning Wang, Xiangming Xi, Li Li
2016	J	`jnl`	Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems. SIAM J. Optim. Yuning Yang, Yunlong Feng, Xiaolin Huang, Johan A. K. Suykens
2016	J	`jnl`	Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization. IEEE Trans. Computational Imaging Thomas Köhler, Xiaolin Huang, Frank Schebesch, André Aichert, Andreas K. Maier, Joachim Hornegger
2016	J	`jnl`	Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. Neural Comput. Yunlong Feng, Yuning Yang, Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens
2015	—	`conf`	Binary Reweighted l1-Norm Minimization for One-Bit Compressed Sensing. BIOSIGNALS Hui Wang, Xiaolin Huang, Yipeng Liu, Sabine Van Huffel, Qun Wan
2015	J	`jnl`	Learning with the maximum correntropy criterion induced losses for regression. J. Mach. Learn. Res. Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A. K. Suykens
2015	J	`jnl`	Pinball Loss Minimization for One-bit Compressive Sensing. CoRR Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
2015	J	`jnl`	Sequential minimal optimization for SVM with pinball loss. Neurocomputing Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2015	J	`jnl`	Signal recovery for jointly sparse vectors with different sensing matrices. Signal Process. Li Li, Xiaolin Huang, Johan A. K. Suykens
2015	J	`jnl`	Two-level ℓ Signal Process. Xiaolin Huang, Yipeng Liu, Lei Shi, Sabine Van Huffel, Johan A. K. Suykens
2014	J	`jnl`	Asymmetric least squares support vector machine classifiers. Comput. Stat. Data Anal. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2014	J	`jnl`	Asymmetric v-tube support vector regression. Comput. Stat. Data Anal. Xiaolin Huang, Lei Shi, Kristiaan Pelckmans, Johan A. K. Suykens
2014	—	`conf`	Multi-scale recurrence quantification analysis of heartbeat interval series in healthy vs. Heart failure subjects. BMEI Chengyu Huo, Yi Lu, Xiaolin Huang, Hongxing Liu, Xinbao Ning
2014	J	`jnl`	Non-parallel support vector classifiers with different loss functions. Neurocomputing Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
2014	J	`jnl`	Quantile regression with ℓ 1 - regularization and Gaussian kernels. Adv. Comput. Math. Lei Shi, Xiaolin Huang, Zheng Tian, Johan A. K. Suykens
2014	J	`jnl`	Ramp loss linear programming support vector machine. J. Mach. Learn. Res. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2014	J	`jnl`	Support Vector Machine Classifier With Pinball Loss. IEEE Trans. Pattern Anal. Mach. Intell. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2013	B	`conf`	Fixed-size Pegasos for hinge and pinball loss SVM. IJCNN Vilen Jumutc, Xiaolin Huang, Johan A. K. Suykens
2013	J	`jnl`	Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification. IEEE Trans. Image Process. Fanglin Chen, Xiaolin Huang, Jie Zhou
2013	J	`jnl`	Hinging Hyperplanes for Time-Series Segmentation. IEEE Trans. Neural Networks Learn. Syst. Xiaolin Huang, Marin Matijas, Johan A. K. Suykens
2013	J	`jnl`	Support vector machines with piecewise linear feature mapping. Neurocomputing Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens
2012	J	`jnl`	Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming. J. Optim. Theory Appl. Xiaolin Huang, Jun Xu, Shuning Wang
2012	J	`jnl`	Nonlinear system identification with continuous piecewise linear neural network. Neurocomputing Xiaolin Huang, Jun Xu, Shuning Wang
2012	J	`jnl`	The hill detouring method for minimizing hinging hyperplanes functions. Comput. Oper. Res. Xiaolin Huang, Jun Xu, Xiaomu Mu, Shuning Wang
2011	J	`jnl`	A 10-Degree of Freedom Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism. Int. J. Humanoid Robotics Wenbin Chen, Caihua Xiong, Ronglei Sun, Xiaolin Huang
2011	—	`conf`	Humanoid Motion Planning in the Goal Reaching Movement of Anthropomorphic Upper Limb. ICIRA (1) Wenbin Chen, Caihua Xiong, Ronglei Sun, Xiaolin Huang
2011	J	`jnl`	Static and dynamic characteristics of rehabilitation joint powered by pneumatic muscles. Ind. Robot Xianzhi Jiang, Caihua Xiong, Ronglei Sun, Xiaolin Huang, Youlun Xiong
2010	J	`jnl`	A neural network of smooth hinge functions. IEEE Trans. Neural Networks Shuning Wang, Xiaolin Huang, Yeung Yam
2010	C	`conf`	Identification algorithm for standard continuous piecewise linear neural network. ACC Xiaolin Huang, Jun Xu, Shuning Wang
2010	B	`conf`	Operation optimization for centrifugal chiller plants using continuous piecewise linear programming. SMC Xiaolin Huang, Jun Xu, Shuning Wang
2010	C	`conf`	Stability analysis of planar continuous piecewise linear systems. ACC Jun Xu, Xiaolin Huang, Shuning Wang
2009	J	`jnl`	Adaptive hinging hyperplanes and its applications in dynamic system identification. Autom. Jun Xu, Xiaolin Huang, Shuning Wang
2009	J	`jnl`	Control methods for exoskeleton rehabilitation robot driven with pneumatic muscles. Ind. Robot Caihua Xiong, Xianzhi Jiang, Ronglei Sun, Xiaolin Huang, Youlun Xiong
2009	J	`jnl`	Manipulator Workspace Boundary Extraction and Its Application in Workspace Analysis of the Human's Upper Extremity. Adv. Robotics Wenbin Chen, Caihua Xiong, Xiaolin Huang, Ronglei Sun, Youlun Xiong
2009	—	`conf`	Nonlinear model predictive control using adaptive hinging hyperplanes model. CDC Jun Xu, Xiaolin Huang, Shuning Wang
2009	—	`conf`	On the Design of Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism. ICIRA Wenbin Chen, Caihua Xiong, Ronglei Sun, Xiaolin Huang
2008	—	`conf`	A Second-Order Mapping PCA Based Intrinsic Dimension Estimate for Nonlinear Time Series. ICNC (1) Xiaolin Huang, Xinbao Ning
2008	J	`jnl`	Configuration of Continuous Piecewise-Linear Neural Networks. IEEE Trans. Neural Networks Shuning Wang, Xiaolin Huang, Junaid M. Khan