| 2025 | ICLR | EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models. | Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha |
| 2024 | AAAI | Integer Is Enough: When Vertical Federated Learning Meets Rounding. | Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji |
| 2024 | ICWSM | Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. | Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang |
| 2024 | WACV | Understanding Hyperbolic Metric Learning through Hard Negative Sampling. | Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang |
| 2023 | ICCV | Hyperbolic Chamfer Distance for Point Cloud Completion. | Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang |
| 2023 | KDD | Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. | Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang |
| 2023 | WWW | Multi-Aspect Heterogeneous Graph Augmentation. | Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang |
| 2021 | ICDM | Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. | Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou |
| 2020 | ICPR | RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. | Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang |