Wu, Yingwen

8 publications

ICLR 2025 Pursuing Feature Separation Based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang

ECML-PKDD 2025 Stimulating Catastrophic Forgetting in Class-Wise Unlearning via UAP Wenxing Zhou, Xinwen Cheng, Yingwen Wu, Ruikai Yang, Xiaolin Huang

TMLR 2024 Online Continual Learning via Logit Adjusted SoftMax Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang

TMLR 2024 Revisiting Random Weight Perturbation for Efficiently Improving Generalization Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang

NeurIPSW 2023 Revisiting Random Weight Perturbation for Efficiently Improving Generalization Tao Li, Weihao Yan, Qinghua Tao, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang

ICLR 2023 Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang

NeurIPS 2022 Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang

CVPR 2022 Subspace Adversarial Training Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang