Wei Yang

Assistant Professor

Department of Computer Science

The University of Texas at Dallas

Biography

I am an assistant professor in the Department of Computer Science at the University of Texas at Dallas. I teach and do research on software engineering and security.

Current Focused Research Areas:

SE/Security for Machine Learning (PerInv, MRV, Telemade, NMTtest, ILFO, DENAS, EREBA, NICGSlowDown, NMTSloth, DeepPerform, TestAug)
Mobile/Embedded System Security (WHYPER, Pluto, AppContext [1][2][3], Telemade, MRV, CLAP [1], EnMobile, MalScan, iRuler, TextExerciser, IntDroid, HomDroid, IFDroid )
Intelligent Software Testing/Security (ORBIT, WCTester [1][2], NMTtest [1], SemRegex [1], REINAM, TextExerciser, SCDetector, DBAntiPattern, UI-Flaky, WebEvo, Vet, GLIB, GameCompatStudy, VulCNN)

I received my Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2018, advised by Prof. Carl A. Gunter and Prof. Tao Xie, an M.S. in Computer Science from North Carolina State University in 2013, advised by Prof. Tao Xie, and a B.E. in Software Engineering from Shanghai Jiao Tong University in 2011, advised by Prof. Jianjun Zhao. I was a visiting researcher in University of California, Berkeley, invited by Prof. Dawn Song.

Note: I am looking for students, especially those interested in learning and using program analysis techniques (in analyzing mobile/IoT/blockchain/AI applications). Please drop me an email with your CV/Resume and samples of your work if you know how to hack.

Students

Ph.D. Students
- Mirazul Haque (Jan 19-) [CVPR 2020] [ICSE 2022] [CVPR 2022] [FSE 2022] [COLING 2022]
- Simin Chen (Jan 19-) ¹ [FSE 2020] [CVPR 2022] [IJCAI 2022] [FSE 2022] [ASE 2022] [ISSTA 2023]
- Zihe Song (Jan 20-) [ICSE 2021] [CVPR 2022] [FSE 2022] [ISSRE 2022]
- Ravishka Rathnasuriya (Dec 21-) Jaeseong Lee (Aug 22-) ²

Graduated Students
- Yueming Wu (Ph.D. Jan 19- Sept 21) ³ [ASE 2019] [ASE 2020] [TOSEM 2021] [ISSTA 2021] [ICSE 2022] [TDSC 2022]
  First Employment: Postdoc at NTU CS
- Wasif Haque (M.S. June 19- Dec 20) [ISSTA 2021]
  First Employment: Argo Data
- Kaiyuan Zhang (M.S. Dec 18 - May 20)
  First Employment: PhD student at Purdue CS
- Anki Chauhan (M.S. March 19 - May 20) [CVPR 2020] [TOSEM 2021]
  First Employment: Goldman Sachs, USA
- Sampath Grandhi (M.S. March 19 - May 20) [FSE 2020] [ICSE 2021]
  First Employment: Amazon, USA
Former Graduate Students
- Xiaodi Li (Ph.D. Jan 19- May 20) [ASE 2019] [FSE 2020]
- Yufei Li (Ph.D. Aug 20 - May 22) [FSE 2021]
Undergraduate Students
- Evan N. Johnson (Jan 17- May 19, grad school: PhD at UCSD) [FSE 2019]
- Yurui Cao (Aug 17- Dec 18, grad school: PhD at UIUC) [ASE 2018]
- Ximin Lin (Jan 17- Dec 18, grad school: MS at U Mitch)
- Sherry Wu (Jan 17- May 17, grad school: MS at CMU)
- Dean Lin (Jan 17- May 17, grad school: MS at CMU)

co-advised with Cong Liu ^{^}
co-advised with Shiyi Wei ^{^}
co-advised with Deqing Zou ^{^}

Selected Recent Publications

DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization

DyCL Compilation for Dynamic Neural Network

Simin Chen, Shiyi Wei, Cong Liu, Wei Yang

In ISSTA, 2023

PDF Code

DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks

DeepPerform Performance Testing of Resource-Constrained Neural Networks.

Simin Chen, Mirazul Haque, Cong Liu, Wei Yang

In ASE, 2022

PDF Code

NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems

NMTSloth Energy Testing on Neural Machine Translation Systems.

Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang

In FSE, 2022

PDF Code

Learning to Reverse DNNs from AI Programs Automatically

NNReverse Reverse Engineering DNN Models

Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang

In IJCAI, 2022

PDF Dataset

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models

NICGSlowDown Efficiency Attack on NICG Models

Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang

In CVPR, 2022

PDF Code

EREBA: Black-box Energy Testing of Adaptive Neural Networks

EREBA Energy Testing on Adaptive Neural Networks.

Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu

In ICSE, 2022

PDF Code Project

VulCNN: An Image-inspired Scalable Vulnerability Detection System

VulCNN DL-based Vulnerability Detection.

Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, Hai Jin

In ICSE, 2022

PDF Code

Vet: Identifying and Avoiding UI Exploration Tarpits

Vet Enhancing Mobile Testing via Patching Apps.

Wenyu Wang, Wei Yang, Tianyin Xu, Tao Xie

ACM SIGSOFT Distinguished Paper Award.
In FSE, 2021

PDF Code

GLIB: Towards Automated Test Oracle for Graphically-Rich Applications

GLIB Automated Test Oracle for Mobile Games.

Ke Chen*, Yufei Li*, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang

In FSE, 2021

PDF Code

HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis

HomDroid Malware Detection via Homophily Analysis.

Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, Hai Jin

In ISSTA, 2021

PDF Code

WebEvo: Taming Web Application Evolution via Detecting Semantic Structure Change

WebEvo Evolutionary Web Monitoring.

Fei Shao, Rui Xu, Wasif Haque, Jingwei Xu, Ying Zhang, Wei Yang, Yanfang Ye, Xusheng Xiao

In ISSTA, 2021

PDF Code

An Empirical Analysis of UI-based Flaky Tests

UI-Flaky An Empirical Analysis of UI-based Flaky Tests.

Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang

In ICSE, 2021

PDF Code Project

SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis

SCDetector Code Clone Detection by Centrality Analysis.

Yueming Wu, Deqing Zou, Shihan Dou, Siru Yang, Wei Yang, Feng Cheng, Hong Liang, Hai Jin

In ASE, 2020

PDF Code

DENAS: Automated Rule Generation by Knowledge Extraction from Neural Networks

DENAS Automated Heuristic Generation for Non-ML Systems via ML

Simin Chen, Soroush Bateni, Sampath Grandhi, Xiaodi Li, Cong Liu, Wei Yang

In FSE, 2020

PDF Code Video

ILFO: Adversarial Attack on Adaptive Neural Networks

ILFO Adversarial Attack on Adaptive Neural Networks

Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang

In CVPR, 2020

PDF Code Project Video

TextExerciser: Feedback-driven Text Input Exercising for Android Applications

TextExerciser Feedback-driven Text Input Exercising for Android Applications

Yuyu He, Lei Zhang, Zhemin Yang, Yinzhi Cao, Keke Lian, Shuai Li, Wei Yang, Zhibo Zhang, Min Yang, Yuan Zhang, Haixin Duan

In IEEE S&P, 2020

PDF Project Video

MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis

MalScan Malware Detection by Centrality Analysis.

Yueming Wu, Xiaodi Li, Deqing Zou, Wei Yang, Xin Zhang, Hai Jin

In ASE, 2019

PDF Code

Charting the Attack Surface of Trigger-Action IoT Platforms

iRuler Detecting inter-rule vulnerabilities in IoT applications.

Qi Wang, Pubali Datta, Wei Yang, Si Liu, Carl A. Gunter, Adam Bates

In CCS, 2019

PDF

REINAM: Reinforcement Learning for Input-Grammar Inference

REINAM Synthesizing high-coverage context-free program input grammars.

Zhengkai Wu, Evan N. Johnson, Wei Yang, Osbert Bastani, Dawn Song, Jian Peng, Tao Xie

In FSE, 2019

PDF Project

SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications

SemRegex Synthesizing regex from natural language descriptions.

Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang

In EMNLP, 2018

PDF

Property Inference Attacks on Deep Neural Networks using Permutation Invariant Representations

PermuteInvariance Inferring private properties of neural networks.

Karan Ganju, Qi Wang, Wei Yang, Carl A. Gunter, Nikita Borisov

In CCS, 2018

PDF

An Empirical Study of Android Test Generation Tools in Industrial Cases

WCTester Android test generation for industrial mobile applications.

Wenyu Wang, Dengfeng Li, Wei Yang, Yurui Cao, Zhenwen Zhang, Yuetang Deng, Tao Xie

In ASE, 2018

PDF

EnMobile: Entity-based Characterization and Analysis of Mobile Malware

EnMobile Detection of command & control behaviors in mobile applications.

Wei Yang, Mukul Prasad, Tao Xie

In ICSE, 2018

PDF

Other Publications

More Publications

Yueming Wu, Shihan Dou, Deqing Zou, Wei Yang, Weizhong Qiang, Hai Jin. Contrastive Learning for Robust Android Malware Familial Classification. In TDSC, 2022.

PDF

Zihe Song, Yingfeng Chen, Lei Ma, Shangjie Lu, Honglei Lin, Changjie Fan, Wei Yang. An Empirical Analysis of Compatibility Issues for Industrial Mobile Games. In ISSRE, 2022.

PDF Dataset

Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu. TestAug: A Framework for Augmenting Capability-based NLP Tests. In COLING, 2022.

PDF Code

Mirazul Haque, Christof Budnik, Wei Yang. CorrGAN:Input Transformation Technique Against Natural Corruptions. . In CVPR-W, 2022.

PDF

Deqing Zou, Yueming Wu, Siru Yang, Anki Chauhan, Wei Yang, Jiangying Zhong, Shihan Dou, Hai Jin. IntDroid: Android Malware Detection Based on API Intimacy Analysis. In TOSEM, 2021.

PDF

Shudi Shao, Zhengyi Qiu, Xiao Yu, Wei Yang, Guoliang Jin, Tao Xie, Xintao Wu. Database-Access Performance Antipatterns in Database-Backed Web Applications. In ICSME, 2020.

PDF

Wenyu Wang, Wujie Zheng, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie. Detecting Failures of Neural Machine Translation in the Absence of Reference Translations. In DSN, 2019.

PDF

Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie. Testing Untestable Neural Machine Translation: An Industrial Case. In ICSE, 2019.

PDF

Xueqing Liu, Yue Leng, Wei Yang, Wenyu Wang, Chengxiang Zhai, Tao Xie. A Large-Scale Empirical Study on Android Runtime Permission Rationale Messages. In VL/HCC, 2018.

PDF

Xueqing Liu, Yue Leng, Wei Yang, Chengxiang Zhai, Tao Xie. Mining Android App Description for Permission Requirements Recommendation. In RE, 2018.

PDF

Zexuan Zhong, Jiaqi Guo, Wei Yang, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang. Generating Regular Expressions from Natural Language Specifications: Are We There Yet?. In AAAI-W, 2018.

PDF

Wei Yang, Tao Xie. Telemade: A Testing Framework for Learning-Based Malware Detection Systems. . In AAAI-W, 2018.

PDF

Wei Yang, Deguang Kong, Tao Xie, Carl A. Gunter. Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps. In ACSAC, 2017.

PDF

Haibing Zheng, Dengfeng Li, Beihai Liang, Xia Zeng, Wujie Zheng, Yuetang Deng, Wing Lam, Wei Yang, Tao Xie. Automated Test Input Generation for Android: Towards Getting There in an Industrial Case. In ICSE, 2017.

PDF

Dengfeng Li, Wing Lam, Wei Yang, Zhengkai Wu, Xusheng Xiao, Tao Xie. Towards Privacy-Preserving Mobile Apps: A Balancing Act. . In HotSoS, 2017.

PDF

Soteris Demetriou, Whitney Merrill, Wei Yang, Aston Zhang, Carl A. Gunter. Free for All! Assessing User Data Exposure to Advertising Libraries on Android. In NDSS, 2016.

PDF

Xia Zeng, Dengfeng Li, Wujie Zheng, Fan Xia, Yuetang Deng, Wing Lam, Wei Yang, Tao Xie. Automated Test Input Generation for Android: Are We Really There Yet in an Industrial Case?. In FSE, 2016.

PDF

Wei Yang, Xusheng Xiao, Dengfeng Li, Huoran Li, Xuanzhe Liu, Haoyu Wang, Yao Guo, Tao Xie. Security Analytics for Mobile Apps: Achievements and Challenges.. In JCS, 2016.

PDF

Wei Yang, Xusheng Xiao, Benjamin Andow, Sihan Li, Tao Xie, William Enck. AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context. In ICSE, 2015.

PDF

Wei Yang, Xusheng Xiao, Rahul Pandita, William Enck, Tao Xie. Improving Mobile Application Security via Bridging User Expectations and Application Behaviors.. In HotSoS, 2014.

PDF

Wei Yang

Assistant Professor

Department of Computer Science

The University of Texas at Dallas

Biography

Students

Selected Recent Publications

DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization

DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks

NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems

Learning to Reverse DNNs from AI Programs Automatically

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models

EREBA: Black-box Energy Testing of Adaptive Neural Networks

VulCNN: An Image-inspired Scalable Vulnerability Detection System

Vet: Identifying and Avoiding UI Exploration Tarpits

GLIB: Towards Automated Test Oracle for Graphically-Rich Applications

HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis

WebEvo: Taming Web Application Evolution via Detecting Semantic Structure Change

An Empirical Analysis of UI-based Flaky Tests

SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis

DENAS: Automated Rule Generation by Knowledge Extraction from Neural Networks

ILFO: Adversarial Attack on Adaptive Neural Networks

TextExerciser: Feedback-driven Text Input Exercising for Android Applications

MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis

Charting the Attack Surface of Trigger-Action IoT Platforms

REINAM: Reinforcement Learning for Input-Grammar Inference

SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications

Property Inference Attacks on Deep Neural Networks using Permutation Invariant Representations

An Empirical Study of Android Test Generation Tools in Industrial Cases

EnMobile: Entity-based Characterization and Analysis of Mobile Malware

Other Publications

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