Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. - Huiyang Shao; Qianqian Xu; Zhiyong Yang 001; Shilong Bao; Qingming Huang (NeurIPS, 2022)

Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. - Peifeng Gao; Qianqian Xu; Peisong Wen; Huiyang Shao; Yuan He 011; Qingming Huang (AAAI, 2023)

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. - Huiyang Shao; Qianqian Xu; Peisong Wen; Peifeng Gao; Zhiyong Yang 001; Qingming Huang (ICCV, 2023)

Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation. - Peifeng Gao; Qianqian Xu; Peisong Wen; Zhiyong Yang 001; Huiyang Shao; Qingming Huang (ICML, 2023)

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. - Huiyang Shao; Qianqian Xu; Zhiyong Yang 001; Peisong Wen; Peifeng Gao; Qingming Huang (NeurIPS, 2023)

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization. - Peifeng Gao; Qianqian Xu; Peisong Wen; Huiyang Shao; Zhiyong Yang 001; Qingming Huang (CoRR, 2023)

Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges. - Peifeng Gao; Qianqian Xu; Yibo Yang; Peisong Wen; Huiyang Shao; Zhiyong Yang 001; Bernard Ghanem; Qingming Huang (CoRR, 2023)

RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories. - Huiyang Shao; Xin Xia 014; Yuhong Yang 010; Yuxi Ren; Xing Wang; Xuefeng Xiao 001 (CVPR, 2025)