Unsupervised Learning of Multi-level Structures for Anomaly Detection. - Songmin Dai; Jide Li; Lu Wang; Congcong Zhu; Yifan Wu 011; Xiaoqiang Li (CoRR, 2021)

Robust age estimation model using group-aware contrastive learning. - Xiaoqiang Li; Chengyu Guo; Yifan Wu 011; Congcong Zhu; Jide Li (IET Image Process., 2022)

OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection. - Yifan Wu 011; Songmin Dai; Dengye Pan; Xiaoqiang Li (ICIP, 2023)

Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection. - Songmin Dai; Yifan Wu 011; Xiaoqiang Li; Xiangyang Xue 001 (AAAI, 2024)

Active Negative Loss: A Robust Framework for Learning with Noisy Labels. - Xichen Ye; Yifan Wu 011; Yiwen Xu; Xiaoqiang Li; Weizhong Zhang; Yifan Chen 004 (CoRR, 2024)

Revisiting Energy-Based Model for Out-of-Distribution Detection. - Yifan Wu 011; Xichen Ye; Songmin Dai; Dengye Pan; Xiaoqiang Li; Weizhong Zhang; Yifan Chen 004 (CoRR, 2024)

Camouflaged Object Detection via Complementary Information-Selected Network Based on Visual and Semantic Separation. - Chao Yin 001; Kequan Yang; Jide Li; Xiaoqiang Li; Yifan Wu 011 (IEEE Trans. Ind. Informatics, 2024)

Optimized Gradient Clipping for Noisy Label Learning. - Xichen Ye; Yifan Wu 011; Weizhong Zhang; Xiaoqiang Li; Yifan Chen 004; Cheng Jin 001 (AAAI, 2025)

Towards Robust Influence Functions with Flat Validation Minima. - Xichen Ye; Yifan Wu 011; Weizhong Zhang; Cheng Jin 001; Yifan Chen 004 (CoRR, 2025)