Wenhai Wan

11 papers A* 5Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Filter, Obstruct, and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning.
IEEE Trans. Inf. Forensics Secur.
Xinrui Wang, Wenhai Wan, Xiang Li, Chuanxing Geng, Shao-Yuan Li, Songcan Chen
2026 A* conf
HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition.
AAAI
Jinpeng Zheng, Shao-Yuan Li, Gan Xu, Wenhai Wan, Zijian Tao, Songcan Chen, Kangkan Wang
2025 J jnl
Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning.
CoRR
Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shaoyuan Li, Songcan Chen
2025 A* conf
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse.
AAAI
Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen
2024 A* conf
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning.
NeurIPS
Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-Yuan Li, Songcan Chen
2024 J jnl
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning.
CoRR
Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shaoyuan Li, Songcan Chen
2024 A* conf
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning.
AAAI
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
2023 A* conf
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends.
NeurIPS
Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen
2023 J jnl
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends.
CoRR
Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen
2023 J jnl
Examining how and when digital platform capabilities drive technological innovation: a strategic information perspective.
J. Enterp. Inf. Manag.
Longjun Liu, Jing Long, Ruhong Liu, Qing Fan, Wenhai Wan
2023 J jnl
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning.
CoRR
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li