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2026年期刊论文和会议论文
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[1]
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Xinwen Cheng, Zhehao Huang, Wenxing Zhou, Zhengbao He, Ruikai Yang, Yingwen Wu, Xiaolin Huang: Remaining-data-free machine unlearning by suppressing sample contribution, in proceedings of International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil, pp. 1-10, 2026
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2025年期刊论文和会议论文
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[2]
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Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang: Pursuing feature separation based on neural collapse for out-of-distribution detection, in proceedings of International Conference on Learning Representations (ICLR), Singapore, pp. 1-9, 2025
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2024年期刊论文和会议论文
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[2]
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Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang: Friendly Sharpness-Aware Minimization, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, pp. 1-9, 2024
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[3]
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Zhehao Huang, Xinwen Cheng, Jinghao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang: Unified gradient-based machine unlearning with Remain geometry enhancement, in proceedings of Neural Information Processing Systems (NeurIPS), Vancouver, Canada, pp. 1-9, 2024
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2023年期刊论文和会议论文
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[1]
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Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang: Self-ensemble protection: Training checkpoints are good data protectors, in proceedings of International Conference on Learning Representations (ICLR), Kigali, Rwanda, pp. 1-9, 2023
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