| 2026 | AAAI | Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning. | Shengyu Ye, Qi Liu, Hao Jiang, Zheng Zhang, Heng Yu, Zhenya Huang |
| 2026 | FCCM | LUT-LLM: Efficient Language Model Inference with Memory-based Computations on FPGAs. | Zifan He, Shengyu Ye, Rui Ma, Yang Wang, Jason Cong |
| 2025 | AAAI | VERSE: Verification-based Self-Play for Code Instructions. | Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su |
| 2025 | HPCA | LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. | Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Liu, Mohamed M. Sabry Aly, Mao Yang |
| 2025 | ICML | CursorCore: Assist Programming through Aligning Anything. | Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang |
| 2025 | VTC | Iterative ESPRIT Algorithm for DoA Estimation in Integrated OAM Radar-Communication Systems. | Shengyu Ye, Yongjun Liu, Wen-Xuan Long, Marco Moretti, Rui Chen |
| 2024 | EMNLP | Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models. | Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang |
| 2024 | EMNLP | VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. | Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang |