I'm currently a Security Researcher at Stellar Cyber, developing core cybersecurity technologies for the company. I received my Ph.D. in Computer Science from University of Illinois Urbana-Champaign in 2022, where I did some work on (Automated) Software Engineering.
Please visit my LinkedIn Profile for more details about me. My latest CV is available here.
November 2024
I'm joining Meta/Facebook (again) to work on cybersecurity.
June 2022
Passed my Ph.D. thesis defense. BIG THANK YOU to everyone who has helped me during this long journey! :-)
June 2021
Our ESEC/FSE 2021 paper won an ACM SIGSOFT Distinguished Paper Award.
October 2018
Our proposal received Facebook Testing and Verification Award, for which I proposed major ideas.
August 2018
Selected for 3M Foundation Fellowship from 2018 to 2021. Thank you, 3M!
May 2016
As an undergraduate intern, I will visit Prof. Koushik Sen's group at UC Berkeley this summer and fall.
AURORA: Navigating UI Tarpits via Automated Neural Screen Understanding
Safwat Ali Khan, Wenyu Wang, Yiran Ren, Bin Zhu, Jiangfan Shi, Wing Lam, and Kevin Moran.
Appeared at ICST 2024.
BADGE: Prioritizing UI Events with Hierarchical Multi-Armed Bandits for Automated UI Testing
Dezhi Ran, Hao Wang, Wenyu Wang, and Tao Xie.
Appeared at ICSE 2023 (209 out of 796, 26.3%).
[Paper]
Automated Visual Testing for Mobile Apps in an Industrial Setting
Dezhi Ran, Zongyang Li, Chenxu Liu, Wenyu Wang, Weizhi Meng, Xionglin Wu, Hui Jin, Jing Cui, Xing Tang, and Tao Xie.
Appeared at ICSE-SEIP 2022.
[Paper]
VET: Identifying and Avoiding UI Exploration Tarpits
Wenyu Wang, Wei Yang, Tianyin Xu, and Tao Xie.
Appeared at ESEC/FSE 2021 (97 out of 396, 24.5%).
★ ACM SIGSOFT Distinguished Paper
[Paper] [Slides] [Talk] [Code]
An Infrastructure Approach to Improving Effectiveness of Android UI Testing Tools
Wenyu Wang, Wing Lam, and Tao Xie.
Appeared at ISSTA 2021 (51 out of 233, 21.9%).
[Paper] [Slides] [Talk] [Code]
Automated Candidate Repair Patch Generation
Ripon K. Saha, Wenyu Wang, and Mukul R. Prasad.
U.S. Patent No. 10,853,051 (Assignee: Fujitsu Ltd.)
PolicyLint: Investigating Internal Privacy Policy Contradictions on Google Play
Benjamin Andow, Samin Yaseer Mahmud, Wenyu Wang, Justin Whitaker, William Enck, Bradley Reaves, Kapil Singh, and Tao Xie.
Appeared at USENIX Security 2019.
Detecting Failures of Neural Machine Translation in the Absence of Reference Translations
Wenyu Wang, Wujie Zheng, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, and Tao Xie.
Appeared at DSN 2019 Industry Track.
[Paper] [Slides]
Testing Untestable Neural Machine Translation: An Industrial Case
Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, and Tao Xie.
Appeared as an ICSE 2019 Poster.
[Paper] [arXiv]
An Empirical Study of Android Test Generation Tools in Industrial Cases
Wenyu Wang, Dengfeng Li, Wei Yang, Yurui Cao, Zhenwen Zhang, Yuetang Deng, and Tao Xie.
Appeared at ASE 2018 (69 out of 346, 19.9%).
[Paper] [Slides] [Modified ELLA]
DetReduce: Minimizing GUI Test Suites for Regression Testing
Wontae Choi, Koushik Sen, George Necula, and Wenyu Wang.
Appeared at ICSE 2018 (105 out of 502, 20.9%).
[Paper]
A Large-Scale Empirical Study on Android Runtime Permission Rationale Messages
Xueqing Liu, Yue Leng, Wei Yang, Wenyu Wang, Chengxiang Zhai, and Tao Xie.
Appeared at VL/HCC 2018.
[Paper]
Record and Replay for Android: Are We There Yet in Industrial Cases?
Wing Lam, Zhengkai Wu, Dengfeng Li, Wenyu Wang, Haibing Zheng, Hui Luo, Peng Yan, Yuetang Deng, and Tao Xie.
Appeared at ESEC/FSE 2017 industrial track.
[Paper]
You can reach me at [email protected], for both personal and professional affairs.
I enjoy meeting new friends (for thoughts, gossips, foods, and more). Let me know when you're around in Seattle!