| 2026 | ACL | Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning. | Chenyang Shao, Sijian Ren, Fengli Xu, Yong Li |
| 2026 | ACL | Targeted Exploration via Unified Entropy Control for Reinforcement Learning. | Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Ge Lan, Yue Wang |
| 2026 | KDD | Generating Realistic Human Mobility Data with Hybrid Large Language Model Agent. | Chenyang Shao, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Fengli Xu |
| 2026 | WWW | Route-and-Reason: Energy-Efficient Scaling of LLM Reasoning via Reinforced Model Routing. | Chenyang Shao, Xinyang Liu, Yutang Lin, Fengli Xu, Yong Li |
| 2025 | WWW | Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents. | Chenyang Shao, Xinyuan Hu, Yutang Lin, Fengli Xu |
| 2024 | ICLR | Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. | Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li |
| 2023 | KDD | Spatio-temporal Diffusion Point Processes. | Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li |