| 2025 | ACL | APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. | Jun Rao, Zepeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang |
| 2025 | EMNLP | AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. | Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang |
| 2024 | ISSRE | REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers. | Minghui Li, Yang Li, Hao Han, Xiaopeng Ke, Tongyu Wang, Fengyuan Xu, Liming Fang |
| 2023 | ICASSP | GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side. | Hao Wu, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, Sheng Zhong |
| 2022 | ICASSP | Towards Practical and Efficient Long Video Summary. | Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong |
| 2022 | IWQoS | Privacy-Preserving and Robust Federated Deep Metric Learning. | Yulong Tian, Xiaopeng Ke, Zeyi Tao, Shaohua Ding, Fengyuan Xu, Qun Li, Hao Han, Sheng Zhong, Xinyi Fu |
| 2020 | IPCCC | Efficient Architecture Paradigm for Deep Learning Inference as a Service. | Jin Yu, Xiaopeng Ke, Fengyuan Xu, Hao Huang |