I am a professor in the School
of Computer Science and Technology at
the Beijing Institute of Technology. I was formerly a graduate student at the Software Engineering Institute, Peking University. I defended my PhD
thesis in June 2008. I am always looking
for self-motivated students to work with me.
Contact me by eMail if you are interested in LLMs, software
engineering, natural language processing, or data mining.
News:
²
2025/10/17: Our paper “LLM-based API
Argument Completion with Knowledge-Augmented Prompts” has been accepted by
the 48th IEEE/ACM International Conference on Software Engineering (ICSE
2026). Congratulations to Waseem Akram (Ph.D
student) ! ² 2025/10/12:
Our paper “Evaluating and Improving GPT-Based Expansion of Abbreviations” has
been accepted by IEEE Transactions on Software Engineering. Congratulations
to Yanjie Jiang！ ²
2025/9/26: Our paper “LLM-Based
Identification of Null Pointer Exception Patches” has been accepted by the
40th IEEE/ACM International Conference on Automated Software Engineering (ASE
2025). Congratulations to Tahir Ullah (Ph.D
student) ! ² 2025/9/26:
Our paper “Wired for Reuse: Automating Context-Aware Code Adaptation in IDEs
via LLM-Based Agent” has been accepted by the 40th IEEE/ACM International
Conference on Automated Software Engineering (ASE 2025). Congratulations to Taiming Wang (Ph.D
student) ! ² 2025/9/21:
牵头获得中国计算机学会科技成果（自然科学）二等奖。 ² 2025/9/14:
Our paper “An Empirical
Study of Software Refactorings in Real-World Open-Source Java Projects”
has been published on
IEEE Transactions on Software Engineering. Congratulations to
Bridget Nyirongo (Ph.D
student)! ²
2025/6/14: Our paper “POS Tagging on Code
Identifiers: How Far Are We?” has been published on ACM Transactions on
Software Engineering and Methodology. Congratulations to Hanlin Tang (Ph.D student)! ² 2025/6/13:
Our paper “OneMoreTest: A Learning-Based Approach to Generating and Selecting
Fault-Revealing Unit Tests” has been accepted by IEEE
Transactions on Software Engineering. Congratulations to Wei Wei (master student)! ² 2025/6/21:
My Ph.D student Waseem
(from Pakistan) was awarded the title of Outstanding Graduate! ² 2025/3/7:
Our paper “An
Automated Approach to Discovering Software Refactorings by Comparing
Successive Versions” has been accepted by IEEE Transactions on Software
Engineering. Congratulations to Bo Liu
(Ph.D student)! ²
2025/2/14: Our paper “An Empirical Study on the
Relationship Between Defects and Source Code's Unnaturalness” has been
accepted by ACM Transactions
on Software Engineering and Methodology. Congratulations to Yanjie Jiang
(former Ph.D student)! ² 2025/1/15:
Our paper “Has My Code Been
Stolen for Model Training? A Naturalness Based Approach to Code Contamination
Detection” has been accepted by 33rd ACM International Conference on the
Foundations of Software Engineering (FSE 2025). Congratulations to Haris Ali
Khan (Ph.D student)! ² 2025/1/15:
Our paper “LLM-based
Method Name Suggestion with Automatically Generated Context-Rich Prompts”
has been accepted by 33rd ACM International Conference on the Foundations of
Software Engineering (FSE 2025). Congratulations to Waseem Akram (Ph.D student)! ² 2025/1/15:
Our paper “Automated
Recommendation of Extracting Local Variable Refactorings” has been
accepted by ACM Transactions on Software Engineering and Methodology.
Congratulations to Yanjie Jiang (former Ph.D
student)! Contributions
to Open Source Community：
Community Service (Since 2020)
Research (Full publication list
available at DBLP) 中国计算机学会推荐A类顶级期刊/会议 [1.]
Taiming Wang, Hui Liu*, Yuxia
Zhang, Yanjie Jiang. Recommending Variable Names for Extract Local Variable Refactorings. ACM Transactions on Software Engineering
and Methodology. 2024. CCF-A [2.] Fu Fan, Yanjie Jiang, Tianyi Chen, Hengshun Zhang, Yuxia Zhang,
Nan Niu, Hui Liu*. An Empirical Study on Common Sense-Violating Bugs in
Mobile Apps. ACM Transactions on Software Engineering and Methodology. 2024.
CCF-A [3.] Tianyi Chen, Yanjie Jiang, Fu Fan, Bo Liu,
Hui Liu*. A Position-Aware Approach to Decomposing God Classes. IEEE/ACM
International Conference on Automated Software Engineering. 2024: 1-13. CCF-A
[4.]
Yanjie Jiang, Hui Liu*, Jinyan Liu, Yuxia
Zhang, Weixing Ji, Hao Zhong, and Lu Zhang. An
Empirical Study on the Relationship Between Defects and Source Code's
Unnaturalness. ACM Transactions on Software Engineering and Methodology
(TOSEM). 2025, http://dx.doi.org/10.1145/3718083. CCF-A [5.] Haris Ali Khan, Yanjie Jiang*, Qasim Umer,
Yuxia Zhang, Waseem Akram, and Hui Liu*. Has My
Code Been Stolen for Model Training? A Naturalness Based Approach to Code
Contamination Detection. ACM
International Conference on the Foundations of Software Engineering (FSE2025),
DOI:10.1145/3715765, 2025. CCF-A [6.] Chunhao Dong, Yanjie Jiang, Yuxia
Zhang, Yang Zhang, and Hui Liu*. ChatGPT-Based Test Generation for
Refactoring Engines Enhanced by Feature Analysis on Examples. IEEE/ACM
International Conference on Software Engineering (ICSE), 2025. CCF-A [7.] Yanjie Jiang, Xiaye Chi, Yuxia
Zhang, Weixing Ji, Guangjie
Li, Weixiao Wang, Yunni
Xia, Lu Zhang, Hui Liu*. Automated Recommendation of Extracting Local
Variable Refactorings. ACM Transactions on Software
Engineering and Methodology (TOSEM). 2025, https://doi.org/10.1145/3715110.
CCF-A [8.] Waseem Akram, Yanjie Jiang*, Yuxia Zhang, Haris Ali Khan, and Hui Liu*. LLM-based
Method Name Suggestion with Automatically Generated Context-Rich Prompts. The
ACM International Conference on the Foundations of Software Engineering
(FSE). 2025，https://doi.org/10.1145/3715753. CCF-A [9.] Bo
Liu, Hui Liu*, Nan Niu, Yuxia Zhang, Guangjie Li, He Jiang, and Yanjie Jiang*. An Automated
Approach to Discovering Software Refactorings by
Comparing Successive Versions. IEEE Transactions on Software Engineering
(IEEE TSE) 2025, https://ieeexplore.ieee.org/document/10855639, to appear.
CCF-A [10.]
Yanjie Jiang, Hui Liu*, Cheung Shing-Chi, Zhang Lu. Shortening
Overlong Method Names with Abbreviations. ACM Transactions on Software
Engineering and Methodology (TOSEM). 2024, 33(8): 1-24. CCF-A [11.]
Meng Fan, Yuxia Zhang, Klaas-Jan Stol, Hui Liu. Core Developer Turnover in the Rust
Package Ecosystem:
Prevalence, Impact, and Awareness, ACM International Conference on the
Foundations of Software Engineering (FSE2025) [12.]
Mian Qin, Yuxia Zhang, Klaas-Jan Stol, Hui Liu. Who Will Stop Contributing to OSS
Projects? Predicting Company Turnover Based on Initial Behavior. ACM
International Conference on the Foundations of Software Engineering (FSE2025) [13.]
Mian Qin, Yuxia Zhang, Klaas-Jan Stol, Hui Li. Developers’ Views on Commercial Involvement
in OSS - A Survey from Three Projects, IEEE Transactions on Software
Engineering (to appear) [14.]
Tianyang Liu, Weixing Ji, Xiaohui Dong,
Wuhuang Yao, Yizhuo Wang,
Hui Liu, Haiyang Peng, Yuxuan Wang. JLeaks: A
Featured Resource Leak Repository Collected From
Hundreds of Open-Source Java Projects. ICSE 2024: 140:1-140:13 [15.]
Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, and Li Zhang. 2024. Non-Autoregressive
Line-Level Code Completion. ACM Trans. Softw. Eng. Methodol. 33, 5, Article 120 (June 2024), 34 pages. [16.]
Yuxia Zhang, Zhiqing Qiu, Klaas-Jan Stol, Wenhui Zhu, Jiaxin Zhu, Yingchen
Tian, and Hui Liu*. Automatic
Commit Message Generation: A Critical Review and Directions for Future Work,
in IEEE Transactions on Software Engineering, vol. 50, no. 4, pp. 816-835,
April 2024 [17.]
Tianyang Liu, Weixing Ji, Xiaohui Dong,
Wuhuang Yao, Yizhuo Wang,
Hui
Liu, Haiyang Peng,
and Yuxuan Wang. 2024. JLeaks:
A Featured Resource Leak Repository Collected From Hundreds of Open-Source
Java Projects. In Proceedings of the IEEE/ACM 46th International
Conference on Software Engineering (ICSE '24). Association for Computing
Machinery, New York, NY, USA, Article 140, 1–13. [18.]
Yuxia Zhang, Mian Qin, Klaas-Jan Stol,
Minghui Zhou, and Hui Liu*. 2024. How
Are Paid and Volunteer Open Source Developers Different? A Study of the Rust
Project. In Proceedings of the IEEE/ACM 46th International Conference
on Software Engineering (ICSE '24). Association for Computing Machinery, New
York, NY, USA, Article 195, 1–13. [19.]
Chunhao Dong, Yanjie Jiang, Nan Niu, Yuxia
Zhang, and Hui Liu*. 2024. Context-Aware
Name Recommendation for Field Renaming. In Proceedings of the
IEEE/ACM 46th International Conference on Software Engineering (ICSE '24).
Association for Computing Machinery, New York, NY, USA, Article 235, 1–13. [20.]
Leping Li, Hui Liu*, Kejun Li, Yanjie Jiang, and Rui Sun. Generating
Concise Patches for Newly Released Programming Assignments, in IEEE
Transactions on Software Engineering, vol.49, no. 1, pp. 450-467,1 Jan.2023. [21.]
Yanjie Jiang, Hui Liu*, Xiaoqing Luo, Zhihao Zhu, Xiaye Chi, Nan Niu, Yuxia
Zhang, Yamin Hu, Pan Bian, and Lu Zhang. BugBuilder:
An Automated Approach to Building Bug Repository, in IEEE
Transactions on Software Engineering, vol. 49, no. 4, pp. 1443-1463, 1 April
2023 [22.]
Bo
Liu, Hui
Liu*, Nan Niu, Yuxia
Zhang, Guangjie Li, and Yanjie Jiang. Automated
Software Entity Matching Between Successive Versions. In 2023 38th
IEEE/ACM International Conference on Automated Software Engineering (ASE
’23), 11-15 September 2023, Kirchberg, Luxembourg, pp. 1615-1627. [23.]
Xiaye Chi, Hui Liu*, Guangjie Li, Weixiao
Wang, Yunni Xia, Yanjie Jiang, Yuxia
Zhang, and Weixing Ji. An
Automated Approach to Extracting Local Variables. In Proceedings of
the 31st ACM Joint European Software Engineering Conference and Symposium on
the Foundations of Software Engineering (ESEC/FSE ’23), 3-9 December 2023,
San Francisco, California, United States, pp. 313-325. ACM
Distinguished Paper Award! [24.]
Bo Liu, Hui Liu*, Guangjie Li, Nan Niu, Zimao
Xu, Yifan Wang, Yunni Xia, Yuxia
Zhang, and Yanjie Jiang *. Deep
Learning Based Feature Envy Detection Boosted by Real-World Examples. In Proceedings of the 31st ACM
Joint European Software Engineering Conference and Symposium on the
Foundations of Software Engineering (ESEC/FSE ’23), 3-9 December 2023, San
Francisco, California, United States, pp. 908-920. [25.]
Yuxia Zhang*, Hui Liu*, Xin Tan, Minghui Zhou, Zhi
Jin, and Jiaxin Zhu. 2022. Turnover of Companies in OpenStack: Prevalence
and Rationale. ACM Trans. Softw. Eng. Methodol. 31, 4, Article 75 (October 2022), 24 pages. [26.]
Yanjie Jiang, Hui Liu*, Jiahao Jin, and Lu Zhang. Automated
Expansion of Abbreviations Based on Semantic Relation and Transfer Expansion, in IEEE Transactions on Software
Engineering, vol. 48, no. 2, pp. 519-537, 1 Feb. 2022 [27.]
Lin Jiang, Hui Liu*, He Jiang, Lu Zhang, and Hong Mei. Heuristic
and Neural Network Based Prediction of Project-Specific API Member Access,
in IEEE Transactions on Software Engineering, vol. 48, no. 4, pp. 1249-1267,
1 April 2022 [28.]
Hui Liu*, Mingzhu Shen, Jiaqi Zhu, Nan Niu, Ge Li, and Lu Zhang. Deep
Learning Based Program Generation From Requirements
Text: Are We There Yet?, in IEEE Transactions on Software
Engineering, vol. 48, no. 4, pp. 1268-1289, 1 April 2022 [29.]
Yingchen Tian, Yuxia Zhang*, Klaas-Jan Stol, Lin Jiang, and Hui Liu*. 2022. What
Makes a Good Commit Message? In Proceedings of the 44th International
Conference on Software Engineering (ICSE '22). Association for Computing
Machinery, New York, NY, USA, 2389–2401. ACM
Distinguished Paper Award! [30.]
Yuxia Zhang, Klaas-Jan Stol, Hui Liu*, and Minghui
Zhou. 2022. Corporate
Dominance in Open Source Ecosystems: A Case Study of OpenStack. In
Proceedings of the 30th ACM Joint European Software Engineering Conference
and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022).
Association for Computing Machinery, New York, NY, USA, 1048–1060. [31.]
Yanjie Jiang, Hui Liu*, Yuxia Zhang, Weixing
Ji, Hao Zhong, and Lu Zhang. 2022. Do
Bugs Lead to Unnaturalness of Source Code? In Proceedings of the 30th
ACM Joint European Software Engineering Conference and Symposium on the
Foundations of Software Engineering (ESEC/FSE 2022). Association for
Computing Machinery, New York, NY, USA, 1085–1096. [32.]
Hui Liu*, Jiahao Jin, Zhifeng Xu, Yanzhen Zou, Yifan Bu, and Lu Zhang, Deep
Learning Based Code Smell Detection, in IEEE Transactions on Software
Engineering (IEEE TSE), vol. 47, no. 09, pp. 1811-1837, 2021. [33.]
Yanjie Jiang, Hui Liu*, Nan Niu, Lu Zhang, Yamin Hu. Extracting
Concise Bug-Fixing Patches from Human-Written Patches in Version Control
Systems. The 43rd International Conference on Software Engineering
(ICSE), pp. 686-698, 2021. [34.]
Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, Lin Shi, and Zhi Jin. Environment-Driven
Abstraction Identification for Requirements-Based Testing. IEEE 29th
International Requirements Engineering Conference (RE2021), pp. 245-256 BEST
PAPER AWARD! [35.]
Yanjie Jiang, Hui Liu*, Yuxia Zhang, Nan Niu, Yuhai
Zhao, Lu Zhang. Which
Abbreviations Should Be Expanded? The
ACM Joint European Software Engineering Conference and Symposium on the
Foundations of Software Engineering (ESEC/FSE), pp.578-589, 2021. [36.]
Yangjie Jiang, Hui Liu*, Jiaqi Zhu and Lu Zhang, Automatic
and Accurate Expansion of Abbreviations in Parameters. in IEEE
Transactions on Software Engineering (IEEE TSE), vol. 46, no. 7, pp. 732-747,
1 July 2020. [37.]
Hui Liu*, Mingzhu Shen, Jiahao Jin, and Yanjie Jiang. 2020. Automated
Classification of Actions in Bug Reports of Mobile Apps. In
Proceedings of the 29th ACM SIGSOFT International Symposium on Software
Testing and Analysis (ISSTA 2020). Association for Computing Machinery, New
York, NY, USA, 128–140. [38.]
Lin Jiang, Hui Liu*, and He Jiang, Machine
Learning Based Recommendation of Method Names: How Far are We, 34th
IEEE/ACM International Conference on Automated Software Engineering (ASE),
San Diego, CA, USA, 2019, pp. 602-614 [39.]
Yanjie Jiang, Hui
Liu*, and Lu Zhang.
2019. Semantic
Relation based Expansion of Abbreviations. In Proceedings of the 27th
ACM Joint Meeting on European Software Engineering Conference and Symposium
on the Foundations of Software Engineering (ESEC/FSE 2019). Association for
Computing Machinery, New York, NY, USA, 131-141. [40.]
Hui Liu*; Zhifeng Xu; Yanzhen
Zou, Deep
Learning Based Feature Envy Detection, 33rd IEEE/ACM International
Conference on Automated Software Engineering (ASE), Montpellier, France,
2018, pp. 385-396. [41.]
Hui Liu*, Qiurong Liu, Zhendong
Niu, Yang Liu. Dynamic and Automatic Feedback-Based Threshold Adaptation
for Code Smells Detection, IEEE Transactions on Software Engineering
(IEEE TSE), vol.42, no.6, pp.544-558, 2016. [42.]
Hui Liu*, Qiurong Liu, Cristian-Alexandru Staicu,
Michael Pradel, Yue Luo. Nomen est Omen:
Exploring and Exploiting Similarities between Argument and Parameter Names.
The 38th International Conference on Software Engineering (ICSE), 1063-1073，May 14 - 22, 2016,
Austin, TX, USA. [43.]
Hui Liu*, Qiurong Liu, Yang Liu, Zhouding Wang, Identifying Renaming Opportunities by
Expanding Conducted Rename Refactorings, IEEE
Transactions on Software Engineering (IEEE TSE), vol.41, no.9, pp.887-900,
Sept. 1 2015. [44.]
Hui Liu*, Xue Guo, and Weizhong Shao, Monitor-based
Instant Software Refactoring, IEEE Transactions on Software Engineering
(IEEE TSE), Volume 39, No. 8, pp. 1112-1126, Aug., 2013 [45.]
Hui Liu*, Zhiyi Ma, Weizhong Shao, and Zhendong Niu, Schedule of Bad Smell Detection and
Resolution: A New Way to Save Effort, IEEE Transactions on Software
Engineering (IEEE TSE), vol.38, no.1, pp.220-235, Jan.-Feb. 2012 [46.] Hui Liu*, Ge Li, Zhiyi Ma, and Weizhong
Shao. 2007. Scheduling of conflicting refactorings
to promote quality improvement. In Proceedings of the 22nd IEEE/ACM
International Conference on Automated Software Engineering (ASE '07).
Association for Computing Machinery, New York, NY, USA, 489–492. |
