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2025年期刊论文和会议论文
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[1]
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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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[1]
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Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang: Towards robust neural networks via orthogonal diversity, Pattern Recognition, 749: 110281, 2024
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[2]
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Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang: Revisiting random weight perturbation for efficiently improving generalization, Transactions on Machine Learning Research, accepted, 2024
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[3]
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Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang: Online continual learning via logit adjusted softmax, Transactions on Machine Learning Research, accepted, 2024
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[4]
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Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang: Low-dimensional gradient hepls out-of-distribution detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-9, 2024
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2023年期刊论文和会议论文
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[2]
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Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang: Trainable weight averaging: Efficient training by optimizing historical solutions, in proceedings of International Conference on Learning Representations (ICLR), Kigali, Rwanda, pp. 1-9, 2023
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2022年期刊论文和会议论文
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[1]
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Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang: Subspace Adversarial Training, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, pp. 1-10, 2022
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[2]
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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, in proceedings of Neural Information Processing Systems (NeurIPS), New Orleans, USA, pp. 1-9, 2022
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