Hui Liu

Professor
School of Computer Science and Technology
Beijing Institute of Technology

Beijing, China


liuhui08@bit.edu.cn
Office location: R1206, Central Building


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.

My research interests include deep learning based software engineering, in particular: deep learning based program generation; software refactoring; automatic program repair; software quality; machine learning based code complete; automatic construction of software engineering datasets. My work is funded in part by the National Natural Science Foundation of China, and the National Key Research and Development Program of China.

I am a recipient of the RE'2021 best research paper award (2021), IET Software Premium Award (2018), New Century Excellent Talents in University (2013), and Beijing Higher Education Young Elite Teacher (2013). I am also a distinguished member of China Computer Federation (
中国计算机学会杰出会员)

I am always looking for self-motivated students to work with me. Contact me by eMail if you are interested in deep learning, software engineering, natural language processing, or data mining.


Doctoral Students

Bo Liu (2021-): Deep learning-based software development.

Taiming Wang (2020-): Deep learning-based software development.

Hanlin Tang (2019-, co-advised by Prof. Hong Mei): Deep learning based software development. [SCIENCE CHINA2020]

Yamin Hu (2019-): Deep Learning based software development. [ICSE2021 ]

Lin Jiang (2017-, co-advised by Prof. Hong Mei): Deep learning based software development. [ASE2019] [TSE2020]

Yanjie Jiang (2018-): Software quality and refactoring [TSE2018] [FSE 2019] [ISSTA 2020] [TSE2020 ] [ICSE2021 ] [ICSE2021-2][FSE 2021]

Leping Li (2017-): Automatic program repair[软件学报2021]

 

Master Students

Kejun Li (2019-): Software quality and refactoring [APSEC 2021] [软件学报2021]

Qingqing Jiao (2019-): Software quality and refactoring [软件学报2021]

Yingchen Tian (2019-): Software quality and refactoring [软件学报2021]                                                                                                                                    

Yahui Li (2020-): AI-based software testing

Xiaoqing Luo (2020-): Software testing

Zhihao Zhu (2020-): Software testing

Xiang Liu (2020-): Natural language processing for SE

Xiaye Chi (2021-): Software refactoring and recommendation

Zimao Xu (2021-): Software refactoring and recommendation

Chenxi Du (2021-): Open-source software development

Ranchi Ma (2021-): Software testing

 

Former Students

o   Jiahao Jin (2018-2021): Deep learning based software development, Software Quality [TSE2019] [TSE2020] [ISSTA2020]

o   Mingzhu Shen (2018-2021): Deep learning based software development, Software Quality [TSE2020] [ISSTA2020]

o   Miaoying Wang (2018-2021): Compiler testing [APSEC 2020]

o   Jiaqi Zhu (2020) [TSE2020] (Bank of China)

o   Zhifeng Xu (2019) [ASE2018] (MIIT, China)

o   Rui Sun (2019) [ICSR2019] (Baidu)

o   Yifan Bu (2019) [TSE2019] [Journal of Software, Best paper award from NASAC2018](USA)

o   Yan Wang (2019) (Baidu)

o   Chao Li (2018) [Journal of Software](Baidu)

o   Yuting Wu (2017) [SANER2016](Ningxia University)

o   Qiurong Liu (2017) [ICSE2016] [TSE2015] [TSE2016][Nominated for Excellent Master's thesis award by the Chinese Institute of Electronics](Peking University at Hangzhou)

o   Yang Liu (2016) [IET Software, Best paper award](Oracle)

o   Zhouding Wang (2014) (start a business)

o   Xue Guo (2013) [TSE2013] [National Excellent Engineering Master Award](Shanxi University)


Teaching


Community (Since 2020)


Research (Full publication list available at DBLP)

[1].  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 (IEEE TSE), Online 2020 [Tools and Dataset]

[2].  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 (IEEE TSE), Online 2020) [Tools and Dataset]

[3].  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. [Tools and Dataset]

[4].   Hui Liu*, Jiahao Jin, Zhifeng Xu, Yifan Bu, Yanzhen. Zou 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. DOI: 10.1109/TSE.2019.2936376 [Tools and Dataset]

[5].  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 [Tools and Dataset]

[1].   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

[2].   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 [Tools][Bug Repository]

[3].   Hui Liu, Minzhu Shen, Jiahao Jin, Yanjie Jiang. Automated Classification of Actions in Bug Reports of Mobile Apps. The 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), July 18-22, 2020, Los Angeles, CA, USA [Tools and Dataset]

[4].  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 (IEEE TSE), Online 2020 [Tools and Dataset]

[5].  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 [Tools and Dataset]

[6].  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[Tools and Dataset]

[7].  Hui Liu*, Jiahao Jin, Zzhifeng Xu, Yifan Bu, Yanzhen. Zou and Lu Zhang, "Deep Learning Based Code Smell Detection", in IEEE Transactions on Software Engineering (IEEE TSE), Online 2019. [Tools and Dataset]

[8].  He Jiang, Dong Liu, Xin Chen, Hui Liu, and Hong Mei. How Are Design Patterns Concerned by Developers? In Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings (ICSE '19). IEEE Press, 232-233.

[9].  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 [Tools and Dataset]

[10]. 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), 1063-1073May 14 - 22, 2016, Austin, TX, USA)

[11]. 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[Tools and Dataset]

[12]. 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 [Tools and Dataset]

[13]. 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 [Tools and Dataset]

[14]. 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[Tools and Dataset]

[15]. 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

[16]. 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

[17]. Hui Liu, Limei Yang, Zhendong Niu, Zhyi Ma, and Weizhong Shao. Facilitating Software Refactoring with Appropriate Resolution Order of Bad Smells. Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on the foundations of software engineering (ESEC/FSE '09), August 2009, Pages 265-268 (short paper)

[18]. Hui Liu, Ge Li*, Zhiyi Ma*, and Weizhong Shao*. Scheduling of Conflicting Refactorings to Promote Quality Improvement. In Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (ASE '07). Association for Computing Machinery, New York, NY, USA, 489-492. (short paper)