Hello! My name is Wenyu Wang.

I'm an 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 August 2022, where I worked with Prof. Tao Xie and Prof. Tianyin Xu on (Automated) Software Engineering.

Please visit my LinkedIn Profile for more details about me. My latest CV is available here.


June 2022
I 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 2020
I will intern at Facebook next summer.

December 2019
I will intern at Google (again) next summer.

February 2019
I will intern at Google this summer.

October 2018
Our proposal received Facebook Testing and Verification Award, for which I proposed major ideas.

August 2018
I am selected for 3M Foundation Fellowship from 2018 to 2021. Thank you, 3M!

August 2018
I will serve as the Web Chair for ASE 2019.

January 2018
I will work at Fujitsu Laboratories of America as a research intern this summer.

October 2017
I will attend ASE 2017 as a student volunteer.

April 2017
I will work at Tencent Inc. this summer as an intern.

May 2016
As an undergraduate intern, I will visit Prof. Koushik Sen's group at UC Berkeley this summer and fall.


BADGE: Prioritizing UI Events with Hierarchical Multi-Armed Bandits for Automated UI Testing
Dezhi Ran, Hao Wang, Wenyu Wang, and Tao Xie.
To appear at ICSE 2023.

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.

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%).

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.

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.

connect with me

You can reach me at [email protected], for both personal and professional affairs.

I enjoy meeting new friends (for thoughts, gossips, foods, or whatever..)