| 2026 | AAAI | Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics. | Xiaozhuang Song, Tianshu Yu |
| 2026 | ACL | AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search. | Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu |
| 2025 | AAAI | Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining. | Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu |
| 2025 | ACL | ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search. | Xiaozhuang Song, Shufei Zhang, Tianshu Yu |
| 2025 | WWW | Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. | Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li |
| 2024 | ICLR | PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. | Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang |
| 2021 | ICANN | TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction. | Xiaozhuang Song, Ying Wu, Chenhan Zhang |
| 2021 | ICANN | TINet: Multi-dimensional Traffic Data Imputation via Transformer Network. | Xiaozhuang Song, Yongchao Ye, James J. Q. Yu |