| 2025 | ICML | Long-Short Alignment for Effective Long-Context Modeling in LLMs. | Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang |
| 2025 | IJCNN | GCL-CCSE: Empowering Graph Constrastive Learning with Consolidated Community and Subgraph Essentials. | Dongqi Wang, Meiwen Tan, Zhicheng Gao, Tianqi Du, Dongming Chen |
| 2024 | ICLR | On the Role of Discrete Tokenization in Visual Representation Learning. | Tianqi Du, Yifei Wang, Yisen Wang |
| 2024 | ICML | Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining. | Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang |
| 2023 | BMVC | Adapting Generic Features to A Specific Task: A Large Discrepancy Knowledge Distillation for Image Anomaly Detection. | Chenkai Zhang, Tianqi Du, Yueming Wang |
| 2023 | ICLR | A Message Passing Perspective on Learning Dynamics of Contrastive Learning. | Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang |
| 2023 | ICLR | ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond. | Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang |
| 2023 | ICLR | ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations. | Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang |