| 2026 | AAAI | MedS³: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision. | Shuyang Jiang, Yusheng Liao, Zhe Chen, Ya Zhang, Yanfeng Wang, Yu Wang |
| 2026 | ACL | Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models. | Shuyang Jiang, Yuhao Wang, Ya Zhang, Yanfeng Wang, Yu Wang |
| 2026 | ACL | Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach. | Haolin Li, Shuyang Jiang, Ruipeng Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2025 | ACL | Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications. | Zhe Chen, Yusheng Liao, Shuyang Jiang, Pingjie Wang, Yiqiu Guo, Yanfeng Wang, Yu Wang |
| 2025 | ACL | ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents. | Yusheng Liao, Shuyang Jiang, Yanfeng Wang, Yu Wang |
| 2025 | EMNLP | SeMob: Semantic Synthesis for Dynamic Urban Mobility Prediction. | Runfei Chen, Shuyang Jiang, Wei Huang |
| 2025 | ICLR | Fine-tuning with Reserved Majority for Noise Reduction. | Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang |
| 2024 | EMNLP | MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation. | Yusheng Liao, Shuyang Jiang, Zhe Chen, Yanfeng Wang, Yu Wang |
| 2024 | EMNLP | EvoR: Evolving Retrieval for Code Generation. | Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu |
| 2023 | EMNLP | Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation. | Yusheng Liao, Shuyang Jiang, Yiqi Li, Yu Wang, Yanfeng Wang |
| 2023 | ICML | CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. | Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong |