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2025年期刊论文和会议论文
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[1]
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Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang: MUSO: Achieving exact machine unlearning in over-parameterized regimes, Machine Learning, 114(8): 1-25, 2025
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[2]
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Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang: Towards natural machine unlearing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-9, 2025
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[3]
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Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang: Simulating training dynamics to reconstruct training data from deep neural networks, in proceedings of International Conference on Learning Representations (ICLR), Singapore, pp. 1-9, 2025
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[4]
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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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[5]
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Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang: Flat-LoRA: Low-rank adaption over a flat loss landscape, in proceedings of International Conference on Machine Learning (ICML), Vancouver, Canada, pp. 1-10, 2025
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2024年期刊论文和会议论文
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[1]
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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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[2]
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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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Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang: Investigating catastrophic overfitting in fast adversarial training: A self-fitting perspective, in proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Vancouver, Canada, pp. 2313-2320, 2023
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2022年期刊论文和会议论文
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