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Xiaolin Huang
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PCR-CG: Point Cloud Registration via Deep Color and Geometry


Feb 28, 2023
Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou

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* accepted to ECCV2022; code at https://github.com/Gardlin/PCR-CG 
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Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective


Feb 23, 2023
Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang

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Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors


Nov 22, 2022
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang

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Efficient Generalization Improvement Guided by Random Weight Perturbation


Nov 21, 2022
Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang

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On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness


Nov 20, 2022
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang

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FG-UAP: Feature-Gathering Universal Adversarial Perturbation


Sep 27, 2022
Zhixing Ye, Xinwen Cheng, Xiaolin Huang

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* 27 pages, 4 figures 
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Random Fourier Features for Asymmetric Kernels


Sep 18, 2022
Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang

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Unifying Gradients to Improve Real-world Robustness for Deep Networks


Aug 12, 2022
Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang

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WPPG Net: A Non-contact Video Based Heart Rate Extraction Network Framework with Compatible Training Capability


Jul 04, 2022
Weiyu Sun, Xinyu Zhang, Ying Chen, Yun Ge, Chunyu Ji, Xiaolin Huang

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Piecewise Linear Neural Networks and Deep Learning


Jun 18, 2022
Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens

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* 23 pages, 6 figures 
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