| 2026 | ACL | GUIDE: Towards Scalable Advising for Research Ideas. | Yaowenqi Liu, BingXu Meng, Rui Pan, Yuxing Liu, Jerry Huang, Jiaxuan You, Tong Zhang |
| 2025 | ICLR | AdaGrad under Anisotropic Smoothness. | Yuxing Liu, Rui Pan, Tong Zhang |
| 2024 | COMPSAC | An Empirical Study of Fault Localization on Novice Programs. | Yuxing Liu, Jianying Chen, Jiamin Tang, Xiaoyi Tong, Liping Cai, Hengyuan Liu |
| 2024 | ICLR | Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise. | Rui Pan, Yuxing Liu, Xiaoyu Wang, Tong Zhang |
| 2024 | ICML | On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition. | Yunyan Bai, Yuxing Liu, Luo Luo |
| 2024 | ICML | Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers. | Yuxing Liu, Lesi Chen, Luo Luo |
| 2024 | ICTAI | MN-Net: Multi-Scale Feature Fusion and Neighborhood Attention Self-Supervised Network for Industrial Spool Surface Anomaly Detection. | Yuming Su, Yuxing Liu, Chao Yang, Lijun Yang, Dongming Tang |
| 2024 | QRS | Using $\mu \text{Bert}$ to Improve Mutation-Based Fault Localization for Novice Programs. | Yuxing Liu, Jiaxi Li, Haiyang Wu, Xuchuan Zhou, Hengyuan Liu |