SATD detector: a text-mining-based self-admitted technical debt detection tool. - Zhongxin Liu 002; Qiao Huang; Xin Xia 001; Emad Shihab; David Lo 001; Shanping Li (ICSE (Companion Volume), 2018)

Neural-machine-translation-based commit message generation: how far are we? - Zhongxin Liu 002; Xin Xia 001; Ahmed E. Hassan; David Lo 001; Zhenchang Xing; Xinyu Wang 001 (ASE, 2018)

Automatic Generation of Pull Request Descriptions. - Zhongxin Liu 002; Xin Xia 001; Christoph Treude; David Lo 001; Shanping Li (ASE, 2019)

Automatic, highly accurate app permission recommendation. - Zhongxin Liu 002; Xin Xia 001; David Lo 001; John C. Grundy (Autom. Softw. Eng., 2019)

Automating Just-In-Time Comment Updating. - Zhongxin Liu 002; Xin Xia 001; Meng Yan 001; Shanping Li (ASE, 2020)

Improving Code Summarization Through Automated Quality Assurance. - Yuxing Hu; Meng Yan 001; Zhongxin Liu 002; Qiuyuan Chen; Bei Wang (ISSRE, 2021)

Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. - Zeyu Wang 001; Sheng Huang 001; Zhongxin Liu 002; Meng Yan 001; Xin Xia 001; Bei Wang; Dan Yang 001 (SANER, 2021)

Quality Assurance for Automated Commit Message Generation. - Bei Wang; Meng Yan 001; Zhongxin Liu 002; Ling Xu; Xin Xia 001; Xiaohong Zhang 002; Dan Yang 001 (SANER, 2021)

Which Variables Should I Log? - Zhongxin Liu 002; Xin Xia 001; David Lo 001; Zhenchang Xing; Ahmed E. Hassan; Shanping Li (IEEE Trans. Software Eng., 2021)

Parameter Description Generation with the Code Parameter Flow. - Qiuyuan Chen; Zezhou Yang; Zhongxin Liu 002; Shanping Li; Cuiyun Gao (QRS, 2022)

Investigating and improving log parsing in practice. - Ying Fu; Meng Yan 001; Jian Xu; Jianguo Li; Zhongxin Liu 002; Xiaohong Zhang 002; Dan Yang 001 (ESEC/SIGSOFT FSE, 2022)

Improving Code Refinement for Code Review Via Input Reconstruction and Ensemble Learning. - Jiawei Lu; Zhijie Tang; Zhongxin Liu 002 (APSEC, 2023)

CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. - Zhongxin Liu 002; Zhijie Tang; Xin Xia 001; Xiaohu Yang 001 (ICSE, 2023)

Towards More Realistic Evaluation for Neural Test Oracle Generation. - Zhongxin Liu 002; Kui Liu 001; Xin Xia 001; Xiaohu Yang 001 (ISSTA, 2023)

Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach. - Xing Hu 008; Zhuang Liu; Xin Xia 001; Zhongxin Liu 002; Tongtong Xu; Xiaohu Yang 001 (ASE, 2023)

CCT5: A Code-Change-Oriented Pre-trained Model. - Bo Lin; Shangwen Wang; Zhongxin Liu 002; Yepang Liu 001; Xin Xia 001; Xiaoguang Mao (ESEC/SIGSOFT FSE, 2023)

Just-In-Time Obsolete Comment Detection and Update. - Zhongxin Liu 002; Xin Xia 001; David Lo 001; Meng Yan 001; Shanping Li (IEEE Trans. Software Eng., 2023)

Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. - Bo Lin; Shangwen Wang; Zhongxin Liu 002; Xin Xia 001; Xiaoguang Mao (IEEE Trans. Software Eng., 2023)

Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code. - Junwei Zhang; Zhongxin Liu 002; Xing Hu 008; Xin Xia 001; Shanping Li (IEEE Trans. Software Eng., 2023)

Revisiting the Identification of the Co-evolution of Production and Test Code. - Weifeng Sun; Meng Yan 001; Zhongxin Liu 002; Xin Xia 001; Yan Lei; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2023)

Robust Test Selection for Deep Neural Networks. - Weifeng Sun; Meng Yan 001; Zhongxin Liu 002; David Lo 001 (IEEE Trans. Software Eng., 2023)

JumpCoder: Go Beyond Autoregressive Coder via Online Modification. - Mouxiang Chen; Hao Tian; Zhongxin Liu 002; Xiaoxue Ren; Jianling Sun (ACL (1), 2024)

Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. - Zhongxin Liu 002; Zhijie Tang; Junwei Zhang; Xin Xia 001; Xiaohu Yang 001 (ICSE, 2024)

Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation. - Hanzhen Lu; Zhongxin Liu 002 (ICSME, 2024)

Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. - Junwei Zhang; Zhongxin Liu 002; Lingfeng Bao; Zhenchang Xing; Xing Hu 008; Xin Xia 001 (Internetware, 2024)

CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. - Dong Li 009; Meng Yan 001; Yaosheng Zhang; Zhongxin Liu 002; Chao Liu 014; Xiaohong Zhang 002; Ting Chen 002; David Lo 001 (ISSTA, 2024)

Automating Zero-Shot Patch Porting for Hard Forks. - Shengyi Pan; You Wang; Zhongxin Liu 002; Xing Hu 008; Xin Xia 001; Shanping Li (ISSTA, 2024)

Exploring and Improving Code Completion for Test Code. - Tingwei Zhu; Zhongxin Liu 002; Tongtong Xu; Ze Tang 002; Tian Zhang 001; Minxue Pan; Xin Xia 001 (ICPC, 2024)

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. - Mouxiang Chen; Zhongxin Liu 002; He Tao; Yusu Hong; David Lo 001; Xin Xia 001; Jianling Sun (ASE, 2024)

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks. - Jiawei Lu; Haoye Wang; Zhongxin Liu 002; Keyu Liang; Lingfeng Bao; Xiaohu Yang 001 (ASE, 2024)

Sustainability Forecasting for Deep Learning Packages. - Junxiao Han; Yunkun Wang; Zhongxin Liu 002; Lingfeng Bao; Jiakun Liu; David Lo 001; Shuiguang Deng (SANER, 2024)

Vulnerability Detection via Multiple-Graph-Based Code Representation. - Fangcheng Qiu; Zhongxin Liu 002; Xing Hu 008; Xin Xia 001; Gang Chen 001; Xinyu Wang 001 (IEEE Trans. Software Eng., 2024)

Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning. - Weifeng Sun; Zhenting Guo; Meng Yan 001; Zhongxin Liu 002; Yan Lei; Hongyu Zhang 002 (IEEE Trans. Software Eng., 2024)

Zero-Shot Cross-Domain Code Search without Fine-Tuning. - Keyu Liang; Zhongxin Liu 002; Chao Liu 014; Zhiyuan Wan; David Lo 001; Xiaohu Yang 001 (Proc. ACM Softw. Eng., 2025)

LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models. - Lingxiao Tang; Jiakun Liu; Zhongxin Liu 002; Xiaohu Yang 001; Lingfeng Bao (Proc. ACM Softw. Eng., 2025)

Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing. - Li Huang; Weifeng Sun; Meng Yan 001; Zhongxin Liu 002; Yan Lei; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

FAIT: Fault-Aware Fine-Tuning for Better Code Generation. - Lishui Fan; Zhongxin Liu 002; Haoye Wang; Lingfeng Bao; Xin Xia 001; Shanping Li (CoRR, 2025)

CoSIL: Software Issue Localization via LLM-Driven Code Repository Graph Searching. - Zhonghao Jiang; Xiaoxue Ren; Meng Yan 001; Wei Jiang; Yong Li; Zhongxin Liu 002 (CoRR, 2025)

AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation. - Yueheng Zhu; Chao Liu 014; Xuan He; Xiaoxue Ren; Zhongxin Liu 002; Ruwei Pan; Hongyu Zhang 002 (CoRR, 2025)

Parallel Scaling Law for Language Models. - Mouxiang Chen; Binyuan Hui; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Jianling Sun; Junyang Lin; Zhongxin Liu 002 (CoRR, 2025)

FlexFL: Flexible and Effective Fault Localization With Open-Source Large Language Models. - Chuyang Xu; Zhongxin Liu 002; Xiaoxue Ren; Gehao Zhang; Ming Liang; David Lo 001 (IEEE Trans. Software Eng., 2025)

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning. - Lingxiao Tang; He Ye; Zhongxin Liu 002; Xiaoxue Ren; Lingfeng Bao (CoRR, 2025)

Enhancing Project-Specific Code Completion by Inferring Internal API Information. - Le Deng; Xiaoxue Ren; Chao Ni 001; Ming Liang; David Lo 001; Zhongxin Liu 002 (CoRR, 2025)

Exploring the Capabilities of LLMs for Code-Change-Related Tasks. - Lishui Fan; Jiakun Liu; Zhongxin Liu 002; David Lo 001; Xin Xia 001; Shanping Li (ACM Trans. Softw. Eng. Methodol., 2025)