DMVOS: Discriminative Matching for Real-time Video Object Segmentation. - Peisong Wen; Ruolin Yang 001; Qianqian Xu; Chen Qian 006; Qingming Huang; Runmin Cong; Jianlou Si (ACM Multimedia, 2020)

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. - Peisong Wen; Qianqian Xu; Yangbangyan Jiang; Zhiyong Yang 001; Yuan He 011; Qingming Huang (CVPR, 2021)

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking. - Peisong Wen; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Qingming Huang (NeurIPS, 2021)

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. - Yunrui Zhao; Qianqian Xu; Yangbangyan Jiang; Peisong Wen; Qingming Huang (CVPR, 2022)

A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. - Xuan Jiang; Zhiyong Yang 001; Peisong Wen; Li Su 003; Qingming Huang (IJCAI, 2022)

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. - Peisong Wen; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Qingming Huang (NeurIPS, 2022)

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. - Yun Liu 011; Yu-Huan Wu; Peisong Wen; Yujun Shi; Yu Qiu; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Positive-Unlabeled Learning With Label Distribution Alignment. - Yangbangyan Jiang; Qianqian Xu; Yunrui Zhao; Zhiyong Yang 001; Peisong Wen; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

AUC-Oriented Domain Adaptation: From Theory to Algorithm. - Zhiyong Yang 001; Qianqian Xu; Shilong Bao; Peisong Wen; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval. - Yang Liu 350; Qianqian Xu; Peisong Wen; Siran Dai; Qingming Huang (ACM Multimedia, 2024)

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. - Boyu Han; Qianqian Xu; Zhiyong Yang 001; Shilong Bao; Peisong Wen; Yangbangyan Jiang; Qingming Huang (NeurIPS, 2024)

Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. - Peisong Wen; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning. - Yang Liu; Qianqian Xu; Peisong Wen; Siran Dai; Qingming Huang (CVPR, 2025)

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Peisong Wen; Yuan He 011; Xiaochun Cao; Qingming Huang (Int. J. Comput. Vis., 2025)

Exploring Non-contrastive Self-supervised Representation Learning for Image-based Profiling. - Siran Dai; Qianqian Xu; Peisong Wen; Yang Liu; Qingming Huang (CoRR, 2025)

Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation. - Pinci Yang; Peisong Wen; Ke Ma 001; Qianqian Xu (CoRR, 2025)