Dr. Wei Yang

Assistant Professor

Ph.D., Computer Science, University of Illinois, Urbana-Champaign
M.S., Computer Science, North Carolina State University, Raleigh, North Carolina
B.S., Software Engineering, Shanghai Jiao Tong University, China

TextExerciser: Feedback-driven Text Input Exercising for Android Applications. In IEEE S&P, 2020.
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis. In ASE, 2019.
Charting the Attack Surface of Trigger-Action IoT Platforms. In CCS, 2019.
REINAM: Reinforcement Learning for Input-Grammar Inference. In FSE, 2019.
An Empirical Study of Android Test Generation Tools in Industrial Cases. In ASE, 2018.
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. In EMNLP, 2018
Property Inference Attacks on Deep Neural Networks using Permutation Invariant Representations. In CCS, 2018
EnMobile: Entity-based Characterization and Analysis of Mobile Malware. In ICSE, 2018
Free for All! Assessing User Data Exposure to Advertising Libraries on Android. In NDSS, 2016
AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context. In ICSE, 2015
WHYPER: Towards Automating Risk Assessment of Mobile Applications. In USENIX Security, 2013

Organizing Committee
- ASE 2017; ISSTA 2020
Program Committee
- 2021: ICSE, Program Commmittee;
- 2020: ISSTA, Artifact Evaluation Committee;
- 2019: ICSE, Artifact Evaluation Committee; CAV, Artifact Evaluation Committee;
- 2018: ISSTA, Artifact Evaluation Committee;
- 2017: ISSTA, Artifact Evaluation Committee;
- 2016: IEEE S&P, Shadow Program Committee; ISSTA, Artifact Evaluation Committee; OOPSLA, Artifact Evaluation Committee; Eurosys, Shadow Program Committee;
- 2015: ECOOP, Artifact Evaluation Committee
Academic Conference Organizer
- CCS 2012; FSE 2012; POPL 2016; ASE 2017; AAAI 2018