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南方科技大学计算机科学与工程系导师教师师资介绍简介-Yepang Liu’s Homepage

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Yepang Liu (CV)

Tenure-Track Assistant Professor
Department of Computer Science and Engineering
Southern University of Science and Technology
Office: Room 609, CoE Building (South), SUSTech
Email: liuyp1 AT sustech DOT edu DOT cn
Tel: +86-

I am an assistant professor at the CSE Department of SUSTech. I lead the Software Quality Lab. My research interests include software testing and analysis, empirical software engineering, cyber-physical systems, mobile computing, and cybersecurity. I obtained my B.Sc. degree in Computer Science with honor from Nanjing University in 2010, and my Ph.D. degree in Computer Science and Engineering from HKUST in 2015. Prior to joining SUSTech, I worked at the CASTLE Lab and Cybersecurity Lab of HKUST as a postdoc, under the supervision of Prof. Shing-Chi Cheung and Prof. Charles Zhang. If you want to know more about me, here is an article, but in Chinese only.
We are hiring research assistant professors and postdocs. We are also looking for PhD students with strong programming skills and good English ability. Please send me an email with your CV if you are interested and have relevant background. For undergraduate students who are interested in joining our group, please send me a copy of your transcript.
Latest News of My Group (more) May 21, 2021: Our image classification model reliability testing work has been accepted to the EMSE journal.
May 20, 2021: We have three papers accepted to ESEC/FSE 2021.
April 19, 2021: Our work received the ACM SIGSOFT Distinguished Paper Award at ICSE 2021.
March 11, 2021: One paper accepted to TOSEM.
February 3, 2021: One paper accepted to IST.
January 31, 2021: One paper accepted to TSE.
January 1, 2021: I was invited to serve on the Editorial Board of Young Scientists of JCST.
December 22, 2020: One paper accepted to SANER 2021.
December 15, 2020: Two papers accepted to ICSE 2021.
Awards and Honors (more) ACM SIGSOFT Distinguished Paper Award (received at ICSE 2021)
南方科技大学优秀教学奖 (2020)
南方科技大学优秀书院导师奖 (2020)
深圳市南山区领航人才 (C类, 2019)
ACM SIGSOFT Distinguished Artifact Award (received at ICSE 2019)
2019全国大学生软件测试大赛卓越指导老师奖 (photo)
2018年全国大学生软件测试大赛杰出指导老师奖
深圳市海外高层次人才 (C类, 2018)
ACM SIGSOFT Distinguished Paper Award (received at ASE 2016)
ACM SIGSOFT Service Award (received at FSE 2014)
ACM SIGSOFT Distinguished Paper Award (received at ICSE 2014)
Teaching (more) CS102A Introduction to Computer Programming (Spring 2018-2021)
CS323 Compilers (Fall 2019-2020)
CS102B Introduction to Computer Programming (Fall 2018)
CSE5008 Advanced Software Engineering (Fall 2018)
Recent Publications (full list, Google Scholar) [EMSE 2021] Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, and Xiangyu Zhang. To What Extent Do DNN-based Image Classification Models Make Unreliable Inferences?. In Empirical Software Engineering, 2021.

[ESEC/FSE 2021] Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, and Yulei Sui. An Exploratory Study of Autopilot Software Bugs in Unmanned Aerial Vehicles. In the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 2021.

[ESEC/FSE 2021] Wuqi Zhang, Lili Wei, Shuqing Li, Yepang Liu, and Shing-Chi Cheung. DArcher: Detecting On-Chain-Off-Chain Synchronization Bugs in Decentralized Applications. In the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 2021.

[ESEC/FSE 2021] Yida Tao, Zhihui Chen, Yepang Liu, Zhiwu Xu, and Shengchao Qin. Demystifying “Bad” Error Messages in Data Science Libraries. In the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 2021.

[TOSEM 2021] Yida Tao, Shan Tang, Yepang Liu, Zhiwu Xu, and Shengchao Qin. Speeding up Data Manipulation Tasks with Alternative Implementations: An Exploratory Study. In ACM Transactions on Software Engineering and Methodology, 2021, to appear.

[IST 2021] Sen Fang, Youshuai Tian, Tao Zhang, and Yepang Liu. Self-Attention Networks for Code Search. In Information and Software Technology, 2021. [pdf]

[TSE 2021] Ying Wang, Rongxin Wu, Chao Wang, Ming Wen, Yepang Liu, Shing-Chi Cheung, Hai Yu, Chang Xu, and Zhiliang Zhu. Will Dependency Conflicts Affect My Program’s Semantics?. In IEEE Transactions on Software Engineering, 2021, to appear.

[ICSE 2021] Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, and Yang Liu. Automatic Web Testing using Curiosity-Driven Reinforcement Learning. In the 43rd ACM/IEEE International Conference on Software Engineering, Madrid, Spain, May 2021.

[ICSE 2021] Ying Wang, Liang Qiao, Chang Xu, Yepang Liu, Shing-Chi Cheung, Na Meng, Hai Yu, and Zhiliang Zhu. Hero: On the Chaos When PATH Meets Modules. In the 43rd ACM/IEEE International Conference on Software Engineering, Madrid, Spain, May 2021. [tool]

[SANER 2021] Sinan Wang, Ming Wen, Yepang Liu, Ying Wang, and Rongxin Wu. Understanding and Facilitating the Co-Evolution of Production and Test Code. In the 28th IEEE International Conference on Software Analysis, Evolution and Reengineering, March 2021. [acceptance rate: 25%]

[TSE 2020] Lili Wei, Yepang Liu, Shing-Chi Cheung, Huaxun Huang, Xuan Lu, and Xuanzhe Liu. Understanding and Detecting Fragmentation-Induced Compatibility Issues for Android Apps. In IEEE Transactions on Software Engineering, vol. 46, no. 11, pp. 1176-1199, 1 Nov. 2020. [paper]

[ISSRE 2020] Shuqing Li, Yechang Wu, Yi Liu, Dinghua Wang, Ming Wen, Yida Tao, Yulei Sui, Yepang Liu. An Exploratory Study of Bugs in Extended Reality Applications on the Web. In the 31st International Symposium on Software Reliability Engineering, Coimbra, Portugal, October 2020. [acceptance rate: 20.8%]

[ASE 2020] Hengcheng Zhu, Lili Wei, Ming Wen, Yepang Liu, Shing-Chi Cheung, Qin Sheng, Cui Zhou. MockSniffer: Characterizing and Recommending Mocking Decisions for Unit Tests. In the 35th IEEE/ACM International Conference on Automated Software Engineering, Melbourne, Australia, September 2020. [acceptance rate: 22.5%][pdf]

[ASE 2020] Yida Tao, Jiefang Jiang, Yepang Liu, Zhiwu Xu, Shengchao Qin. Understanding Performance Concerns in the API Documentation of Data Science Libraries. In the 35th IEEE/ACM International Conference on Automated Software Engineering, Melbourne, Australia, September 2020. [pdf]

[ASE 2020 Industry Showcase] Yi Liu, Jinhui Xie, Jianbo Yang, Shiyu Guo, Yuetang Deng, Shuqing Li, Yechang Wu, and Yepang Liu. Industry Practice of JavaScript Dynamic Analysis on WeChat Mini-Programs. In the 35th IEEE/ACM International Conference on Automated Software Engineering (Industry Showcase track), Melbourne, Australia, September 2020.

[ISSTA 2020] Xueliang Li, Yuming Yang, Yepang Liu, John P. Gallagher, Kaishun Wu. Detecting and Diagnosing Energy Issues for Mobile Applications. In the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, Los Angeles, California, United States, July 2020. [acceptance rate: 26.5%][pdf]

[ICSE 2020 Demo] Yongqiang Tian, Zhihua Zeng, Ming Wen, Yepang Liu, Tzu-yang Kuo, Shing-Chi Cheung. EvalDNN: A Toolbox for Evaluating Deep Neural Network Models. In the 42nd International Conference on Software Engineering, Demonstrations Track, Seoul, South Korea, May 2020. [acceptance rate: 33.3%][tool][benchmark]

[ICSE 2020 NIER] Ming Wen, Yepang Liu, and Shing-Chi Cheung. Boosting Automated Program Repair with Bug-Inducing Commits. In the 42nd International Conference on Software Engineering, New Ideas and Emerging Results Track, Seoul, South Korea, May 2020. [acceptance rate: 30.1%]

[ICSE 2020] Ying Wang, Ming Wen, Yepang Liu, Yibo Wang, Zhenming Li, Chao Wang, Hai Yu, Shing-Chi Cheung, Chang Xu, and Zhiliang Zhu. Watchman: Monitoring Dependency Conflicts for Python Library Ecosystem. In the 42nd International Conference on Software Engineering, Seoul, South Korea, May 2020. [acceptance rate: 20.9%][pdf][tool][The Morning Paper blog]

[SANER 2020] Zhaoxu Zhang, Hengcheng Zhu, Ming Wen, Yida Tao, Yepang Liu, and Yingfei Xiong. How Do Python Framework APIs Evolve? An Exploratory Study. In the 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, London, Ontario, Canada, February 2020, to appear. [acceptance rate: 21.1%][pdf][talk][slides]


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