Publications

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Jiangrui Zheng, Xueqing Liu, Guanqun Yang, Mirazul Haque, Xing Qian, Ravishka Rathnasuriya, Girish Budhrani, Wei Yang. HateModerate: Testing Hate Speech Detectors against Content Moderation Policies. In NAACL, 2024.

Dezhi Ran, Zihe Song, Wenhan Zhang, Wei Yang, Tao Xie. HawkEyes: Spotting and Evading Instruction Disalignments of LLMs. In LLM4Code, 2024.

Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, Wei Yang. PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models. In FSE, 2024.

Simin Chen, Zexin Li, Wei Yang, Cong Liu. DeciX: Explain Deep Learning Based Code Generation Applications. In FSE, 2024.

Xinyue Liu, Zihe Song, Weike Fang, Wei Yang, Weihang Wang. WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests. In WWW, 2024.

Preprint PDF Code

Shamik Kundu*, Mirazul Haque*, Sanjay Das, Wei Yang, Kanad Basu. MENDNet: Just-in-time Fault Detection and Mitigation in AI Systems with Uncertainty Quantification and Multi-Exit Networks. In DAC, 2024.

Hanlin Chen, Simin Chen, Wenyu Li, Wei Yang, Yiheng Feng. IMPACT ANALYSIS OF INFERENCE TIME ATTACK OF PERCEPTION SENSORS ON AUTONOMOUS VEHICLES. In TRBAM, 2024.

Yufei Li, Zexin Li, Wei Yang, Cong Liu. RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models. In RTSS, 2023.

Simin Chen, Shiyi Wei, Cong Liu, Wei Yang. DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization. In ISSTA, 2023.

Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang. SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. In INTERSPEECH, 2023.

Mirazul Haque, Wei Yang. Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks. In ICCV-W, 2023.

Mirazul Haque, Simin Chen, Wasif Haque, Cong Liu, Wei Yang. AntiNODE: Evaluating Efficiency Robustness of Neural ODEs. In ICCV-W, 2023.

Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang. The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection. In CVPR, 2023.

Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li. Dynamic Transformers Provide a False Sense of Efficiency. In ACL, 2023.

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

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

Simin Chen, Mirazul Haque, Cong Liu, Wei Yang. DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. In ASE, 2022.

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.

Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang. NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems. In FSE, 2022.

Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang. Learning to Reverse DNNs from AI Programs Automatically. In IJCAI, 2022.

Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang. NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. In CVPR, 2022.

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

Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu. EREBA: Black-box Energy Testing of Adaptive Neural Networks. In ICSE, 2022.

PDF Code Project

Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong. Detecting Topology Attacks against Graph Neural Networks.
Best Paper Award RunnerUp.
In CIKM-W, 2022.

Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, Hai Jin. VulCNN: An Image-inspired Scalable Vulnerability Detection System. In ICSE, 2022.

Wenyu Wang, Wei Yang, Tianyin Xu, Tao Xie. Vet: Identifying and Avoiding UI Exploration Tarpits.
ACM SIGSOFT Distinguished Paper Award.
In FSE, 2021.

Ke Chen*, Yufei Li*, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang. GLIB: Towards Automated Test Oracle for Graphically-Rich Applications. In FSE, 2021.

Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, Hai Jin. HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis. In ISSTA, 2021.

Fei Shao, Rui Xu, Wasif Haque, Jingwei Xu, Ying Zhang, Wei Yang, Yanfang Ye, Xusheng Xiao. WebEvo: Taming Web Application Evolution via Detecting Semantic Structure Change. In ISSTA, 2021.

Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang. An Empirical Analysis of UI-based Flaky Tests. In ICSE, 2021.

PDF Code Project

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.

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.

Yueming Wu, Deqing Zou, Shihan Dou, Siru Yang, Wei Yang, Feng Cheng, Hong Liang, Hai Jin. SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis. In ASE, 2020.

Simin Chen, Soroush Bateni, Sampath Grandhi, Xiaodi Li, Cong Liu, Wei Yang. DENAS: Automated Rule Generation by Knowledge Extraction from Neural Networks. In FSE, 2020.

Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang. ILFO: Adversarial Attack on Adaptive Neural Networks. In CVPR, 2020.

PDF Code Project Video

Yuyu He, Lei Zhang, Zhemin Yang, Yinzhi Cao, Keke Lian, Shuai Li, Wei Yang, Zhibo Zhang, Min Yang, Yuan Zhang, Haixin Duan. TextExerciser: Feedback-driven Text Input Exercising for Android Applications. In IEEE S&P, 2020.

PDF Project Video

Yueming Wu, Xiaodi Li, Deqing Zou, Wei Yang, Xin Zhang, Hai Jin. MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis. In ASE, 2019.

Qi Wang, Pubali Datta, Wei Yang, Si Liu, Carl A. Gunter, Adam Bates. Charting the Attack Surface of Trigger-Action IoT Platforms. In CCS, 2019.

Zhengkai Wu, Evan N. Johnson, Wei Yang, Osbert Bastani, Dawn Song, Jian Peng, Tao Xie. REINAM: Reinforcement Learning for Input-Grammar Inference. In FSE, 2019.

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.

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.

Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang. SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. In EMNLP, 2018.

Karan Ganju, Qi Wang, Wei Yang, Carl A. Gunter, Nikita Borisov. Property Inference Attacks on Deep Neural Networks using Permutation Invariant Representations. In CCS, 2018.

Wenyu Wang, Dengfeng Li, Wei Yang, Yurui Cao, Zhenwen Zhang, Yuetang Deng, Tao Xie. An Empirical Study of Android Test Generation Tools in Industrial Cases. In ASE, 2018.

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.

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

Wei Yang, Mukul Prasad, Tao Xie. EnMobile: Entity-based Characterization and Analysis of Mobile Malware. In ICSE, 2018.

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.

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

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.

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.

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

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.

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.

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.

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.

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

Rahul Pandita, Xusheng Xiao, Wei Yang, William Enck, Tao Xie. WHYPER: Towards Automating Risk Assessment of Mobile Applications. In USENIX Security, 2013.

Wei Yang, Mukul Prasad, Tao Xie. A Grey-box Approach for Automated GUI-Model Generation of Mobile Applications. In FASE, 2013.