AI for SE (including leveraing LLM for software testing and code generation, LLM-based mobile app testing, etc.), SE for AI (including testing of multi-model AI systems, sequential-decision making AI systems, competitive AI systems, multi-agent RL systems, security of AI algorithms,etc), software repositories mining,empirical studies, etc.

(1) Ph.D in software engineering             09/2009 – 06/2015

Institute of Software, Chinese Academy of Sciences (ISCAS), Beijing, China

Advisor: Prof. Qing Wang

(2) Bachelor in Computer Science            09/2005 – 06/2009

Central China Normal University (CCNU), Wuhan, China

Researcher at ISCAS, Beijing, China                      10/2022 – now

Associate Researcher at ISCAS, Beijing, China                      10/2017 – 2022/10

Visiting Scholar at North Carolina State University            2017/09 – 2018/09

Assistant Researcher at ISCAS, Beijing, China                      06/2015 – 10/2017

Also see my DBLP and Google Scholar for the full list

1. Qing Wang, Zhenyu Chen, Junjie Wang, Yang Feng: Intelligent Crowdsourced Testing. Springer 2022, ISBN 978-981-16-9642-8, pp. 1-251

2. Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang: Software Testing With Large Language Models: Survey, Landscape, and Vision. IEEE Trans. Software Eng. 50(4): 911-936 (2024)

3. Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Yuekai Huang, Jun Hu, Qing Wang: Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM. CHI 2024: 51:1-51:20

4. Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang: CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. ICSE 2024: 18:1-18:13

5. Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, Qing Wang: Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions. ICSE 2024: 100:1-100:13

6. Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Zhilin Tian, Yuekai Huang, Jun Hu, Qing Wang: Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model. ICSE 2024: 137:1-137:12

7. Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang: Demystifying and Detecting Misuses of Deep Learning APIs. ICSE 2024: 201:1-201:12

8. Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang: The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. ACM Trans. Softw. Eng. Methodol. 33(2): 51:1-51:24 (2024)

9. Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang: Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing, ICSE 2023

10. Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang: Context-aware Bug Reproduction for Mobile Apps, ICSE 2023

11. Zhe Liu, Chunyang Chen, Junjie Wang, Yuhui Su, Yuekai Huang, Jun Hu, Qing Wang: Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network, ICSE 2023

12. Zhiyuan Chang, Mingyang Li, Qing Wang, Shoubin Li, Junjie Wang: Cross-Domain Requirements Linking via Adversarial-based Domain Adaptation, ICSE 2023

13. Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang: Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding. IEEE Trans. Software Eng. 49(1): 403-418 (2023)

14. Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang: CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab. 72(3): 1276-1289 (2023)

15. Yawen Wang, Junjie Wang, Hongyu Zhang, Kairui Wang, Qing Wang: What are Pros and Cons? Stance Detection and Summarization on Feature Request. ESEM 2023: 1-12

16. Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang: An Empirical Study on the Stability of Explainable Software Defect Prediction. APSEC 2023: 141-150

17. Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang: Identifying Emergent Leadership in Open Source Software Projects Based on Communication Styles. SANER 2023: 73-84

18. Kairui Wang, Yawen Wang, Junjie Wang, Qing Wang: Fuzzing with Sequence Diversity Inference for Sequential Decision-making Model Testing. ISSRE 2023: 706-717

19. Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan: Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR 2023: 27-38

20. Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan: Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE 2023: 795-806

21. Junjie Wang, Yuchao Huang, Song Wang, Qing Wang: Find Bugs in Static Bug Finders, International Conference on Program Comprehension (ICPC) 2022. ACM SIGSOFT Distinguished Paper Award. CORE A/CCF B.

22. Yawen Wang, Junjie Wang*, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang. Where is Your App Frustrating Users. ICSE 2022. Core A*/CCF A

23. J. Wang, Y. Yang, S.Wang, Y. Hu, D. Wang, Q. Wang. Context- and Fairness-aware In-process Crowdworker Recommendation. ACM Transactions on Software Engineering and Methodology (TOSEM) 2022. CORE A*/CCF A.

24. Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, and Qing Wang. Context-aware Personalized Crowdtesting Task Recommendation. IEEE Transactions on Software Engineering (TSE) 2022. CORE A*/CCF A.

25. Zhe Liu, Chunyang Chen, Junjie Wang*, Yuekai Huang, Jun Hu, Qing Wang: Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding. IEEE Transactions on Software Engineering (TSE) 2022. CORE A*/CCF A.

26. Zhe Liu, Chunyang Chen, Junjie Wang*, Yuekai Huang, Jun Hu, Qing Wang: Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves. ACM CHI Conference on Human Factors in Computing Systems (CHI) 2022. CORE A*/CCF A.

27. J. Wang, Y. Yang, S.Wang, Y. Hu, D. Wang, Q. Wang. Context-aware In-process Crowdworker Recommendation, International Conference on Software Engineering (ICSE) 2020. ACM SIGSOFT Distinguished Paper Award. Core A*/CCF A, SCI

28. J. Wang, Y. Yang, R. Krishna, T. Menzies, Q. Wang. iSENSE : Completion-Aware Crowdtesting Management, 41st ACM/IEEE International Conference on Software Engineering(ICSE), 2019. ACM SIGSOFT Distinguished Paper Award. Core A*/CCF A, SCI

29. J. Wang, Y. Yang, T. Menzies, Q. Wang. iSENSE2.0 : Improving Completion-Aware Crowdtesting Management with Duplicate Tagger and Sanity Checker. ACM Transactions on Software Engineering and Methodology (TOSEM), 2020. Core A*/CCF A, SCI

30. J. Wang, S. Wang, J. Chen, T. Menzies, Q. Wang, Q. Cui, M. Xie. Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing, IEEE Transactions on Software Engineering (TSE), 2019. Core A*/CCF A, SCI

31. J. Wang, M. Li,S. Wang, T. Menzies, Q. Wang. Images Don't Lie: Duplicate Crowdtesting Reports Detection With Screenshot Information, Information and Software Technology, 2019. Core A/CCF B, SCI

32. Y. Li, J. Wang, Q. Wang, Y. Yang. Method-level Test Selection for Continuous Integration with Static Dependencies and Dynamic Execution Rules, 19th IEEE International Conference on Software Quality, Reliability, and Security (QRS 2019). IEEE Best Paper Award. Core B/ CCF C, EI

33. Y. Li，J. Wang, Q. Wang, J. Hu. A Class-level Test Selection Approach Toward Full Coverage For Continuous Integration. 31th International Conference on Software Engineering and Knowledge Engineering (SEKE 2019). Core B/CCF C, EI

34. L. Chen, D. Wang, J. Wang, Q. Wang. Enhancing Unsupervised Requirements Traceability with Sequential Semantics, 26th Asia-Pacific Software Engineering Conference (APSEC 2019). Core B/CCF C, EI

35. J. Wang, S. Wang, Q. Wang. Is there a "golden" feature set for static warning identification?: an experimental evaluation, 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2018.10.11-2018.10.12. Core A/CCF B, EI

36. J. Wang, Q. Cui, S. Wang, and Q. Wang. Domain Adaptation for Test Report Classification in Crowdsourced Testing. In Proc. 39th International Conference on Software Engineering : Software Engineering in Practice Track (ICSE-SEIP 2017), pp.83-92. Core A*/CCF A, SCI

37. J. Wang, S. Wang, Q. Cui, and Q. Wang. Local-based Active Classification of Test Report to Assist Crowdsourced Testing. In Proc. 31st International Conference on Automated Software Engineering (ASE 2016), pp. 190-201. Core A/CCF A, SCI

38. J. Wang, Q. Cui, Q. Wang, and S. Wang. Towards Effectively Test Report Classification to Assist Crowdsourced Testing. In Proc. of the 10th International Symposium on Empirical Software Engineering and Measurement (ESEM 2016), pp. 6:1-6:10, Core A/CCF B, EI

39. Q. Cui, J. Wang, G. Yang, M. Xie, Q. Wang and M. Li. Who Should Be Selected to Perform a Task in Crowdsourced Testing? In Proc. 41th Annual Computer Software and Applications Conference (COMPSAC 2017), Core B/CCF C, EI

40. Q. Cui, S. Wang, J. Wang, Y. Hu, Q. Wang and M. Li.  Multi-Objective Crowd Worker Selection in Crowdsourced Testing. In Proc. 29th International Conference on Software Engineering and Knowledge Engineering (SEKE 2017), Core B/CCF C, EI

41. J. Wang and Q. Wang. Analyzing and Predicting Software Integration Bugs Using Network Analysis on Requirements Dependency Network. Requirements Engineering, 2014:19(4), pp.1-24. Core A/CCF B, SCI

42. J. Wang, J. Li, Q. Wang, D. Yang, H. Zhang, and M. Li. Can Requirements Dependency Network be used as Early Indicator of Software Integration Bugs? In Proc. 21th International Requirements Engineering Conference (RE 2013), pp.185-194, Core A/CCF B, EI

43. J. Wang, J. Li, Q. Wang, H. Zhang, and H. Wang. A Simulation Approach for Impact Analysis of Requirement Volatility Considering Dependency Change. In Proc. 18th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2012), pp. 59–76, Core B/CCF C, EI

44. H. Wu, J. Wang, Q. Wang, L. Shi, F. Yuan. Stage-oriented Analysis on Factors Impacting Bug Fixing Time. In Proc. of the 28th International Conference on Software Engineering and Knowledge Engineering (SEKE 2016), Core B/CCF C, EI