| 2026 | SANER | Can LLMs Keep Up with Library Changes? An Exploratory Study on LLM-Generated Code. | Xiangrong Lin, Jiakun Liu, Lingfeng Bao |
| 2025 | ICECCS | RustMap: Towards Project-Scale C-to-Rust Migration via Program Analysis and LLM. | Xuemeng Cai, Jiakun Liu, Xiping Huang, Yijun Yu, Haitao Wu, Chunmiao Li, Bo Wang, Imam Nur Bani Yusuf, Lingxiao Jiang |
| 2025 | ITW | RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion. | Lingyi Chen, Haoran Tang, Shitong Wu, Jiakun Liu, Huihui Wu, Wenyi Zhang, Hao Wu |
| 2024 | ICSE | MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. | Jiakun Liu, Zicheng Zhang, Xing Hu, Ferdian Thung, Shahar Maoz, Debin Gao, Eran Toch, Zhipeng Zhao, David Lo |
| 2024 | ISIT | PAC Learnability for Reliable Communication Over Discrete Memoryless Channels. | Jiakun Liu, Wenyi Zhang, H. Vincent Poor |
| 2023 | ICSE | TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. | Chengran Yang, Bowen Xu, Jiakun Liu, David Lo |
| 2021 | ISIT | A Rate-Distortion Framework for Characterizing Semantic Information. | Jiakun Liu, Wenyi Zhang, H. Vincent Poor |
| 2020 | ICSE | Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. | Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li |
| 2008 | SEKE | A Goal-oriented Mixed-granularity Component Selection Method for Huge Component Repositories. | Xiaolin Xi, Jiyong Park, Jiakun Liu, Seongsoo Hong |