| 2026 | AAAI | TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning. | Qifeng Lei, Zhiyong Yang, Qianqian Xu, Cong Hua, Peisong Wen, Qingming Huang |
| 2026 | AAAI | HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models. | Zhiguang Lu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang |
| 2025 | CVPR | 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 |
| 2023 | AAAI | Towards Decision-Friendly AUC: Learning Multi-Classifier with AUC. | Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, Qingming Huang |
| 2023 | ICCV | Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. | Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang |
| 2023 | ICML | Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation. | Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang |
| 2022 | CVPR | Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. | Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang |
| 2022 | IJCAI | A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. | Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang |
| 2021 | CVPR | Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. | Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang |