Wei Yang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 73

Top Topics

Malware Detection

Machine Translation

Indoor Localization

Top Venues

ESEC/SIGSOFT FSE

Publications

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. CoRR (2024)
Yufei Li, Simin Chen, Yanghong Guo, Wei Yang, Yue Dong, Cong Liu
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study. CoRR (2024)
Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, Wei Yang
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models. CoRR (2024)
Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, Wei Yang
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models. Proc. ACM Softw. Eng. 1 (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. WWW (2024)
Dezhi Ran, Mengzhou Wu, Wei Yang, Tao Xie
Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software. CoRR (2024)
Simin Chen, Zexin Li, Wei Yang, Cong Liu
DeciX: Explain Deep Learning Based Code Generation Applications. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Zexin Li, Xiaoxi He, Yufei Li, Shahab Nikkhoo, Wei Yang, Lothar Thiele, Cong Liu
MIMONet: Multi-Input Multi-Output On-Device Deep Learning. CoRR (2023)
Mirazul Haque, Wei Yang
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks. ICCV (Workshops) (2023)
Simin Chen, Shiyi Wei, Cong Liu, Wei Yang
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization. CoRR (2023)
Mirazul Haque, Wei Yang
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks. CoRR (2023)
Yufei Li, Zexin Li, Wei Yang, Cong Liu
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models. RTSS (2023)
Simin Chen, Shiyi Wei, Cong Liu, Wei Yang
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization. ISSTA (2023)
Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. INTERSPEECH (2023)
Mirazul Haque, Simin Chen, Wasif Arman Haque, Cong Liu, Wei Yang
AntiNODE: Evaluating Efficiency Robustness of Neural ODEs. ICCV (Workshops) (2023)
Yufei Li, Zexin Li, Wei Yang, Cong Liu
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models. CoRR (2023)
Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li
Dynamic Transformers Provide a False Sense of Efficiency. ACL (1) (2023)
Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection. 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. CoRR (2023)
Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. CoRR (2023)
Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu
EREBA: Black-box Energy Testing of Adaptive Neural Networks. CoRR (2022)
Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, Hai Jin
VulCNN: An Image-inspired Scalable Vulnerability Detection System. ICSE (2022)
Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang
NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems. CoRR (2022)
Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang
NMTSloth: understanding and testing efficiency degradation of neural machine translation systems. ESEC/SIGSOFT FSE (2022)
Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang
Learn to Reverse DNNs from AI Programs Automatically. IJCAI (2022)
Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu
EREBA: Black-box Energy Testing of Adaptive Neural Networks. ICSE (2022)
Mirazul Haque, Christof J. Budnik, Wei Yang
CorrGAN: Input Transformation Technique Against Natural Corruptions. CVPR Workshops (2022)
Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. CoRR (2022)
Mirazul Haque, Christof J. Budnik, Wei Yang
CorrGAN: Input Transformation Technique Against Natural Corruptions. CoRR (2022)
Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. CVPR (2022)
Simin Chen, Mirazul Haque, Cong Liu, Wei Yang
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. ASE (2022)
Simin Chen, Mirazul Haque, Cong Liu, Wei Yang
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. CoRR (2022)
Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu
TestAug: A Framework for Augmenting Capability-based NLP Tests. CoRR (2022)
Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang
Learning to Reverse DNNs from AI Programs Automatically. CoRR (2022)
Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu
TestAug: A Framework for Augmenting Capability-based NLP Tests. COLING (2022)
Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, Hai Jin
HomDroid: detecting Android covert malware by social-network homophily analysis. ISSTA (2021)
Yufei Li, Simin Chen, Wei Yang
Estimating Predictive Uncertainty Under Program Data Distribution Shift. CoRR (2021)
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
GLIB: towards automated test oracle for graphically-rich applications. ESEC/SIGSOFT FSE (2021)
Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang
An Empirical Analysis of UI-based Flaky Tests. CoRR (2021)
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
GLIB: Towards Automated Test Oracle for Graphically-Rich Applications. CoRR (2021)
Wenyu Wang, Wei Yang, Tianyin Xu, Tao Xie
Speculating Ineffective UI Exploration via Trace Analysis. CoRR (2021)
Yueming Wu, Shihan Dou, Deqing Zou, Wei Yang, Weizhong Qiang, Hai Jin
Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning. CoRR (2021)
Fei Shao, Rui Xu, Wasif Arman Haque, Jingwei Xu, Ying Zhang, Wei Yang, Yanfang Ye, Xusheng Xiao
WebEvo: taming web application evolution via detecting semantic structure changes. ISSTA (2021)
Wenyu Wang, Wei Yang, Tianyin Xu, Tao Xie
Vet: identifying and avoiding UI exploration tarpits. ESEC/SIGSOFT FSE (2021)
Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang
UI-Based Flaky Tests Dataset. ICSE (Companion Volume) (2021)
Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang
An Empirical Analysis of UI-based Flaky Tests. ICSE (2021)
Wenbin Zuo, Wei Yang, Zhixin Hu, Lei Zhang
Acoustic fingerprint based smart mobiles indoor localization under dense NLOS environment. ICSPCC (2021)
Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, Hai Jin
HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis. CoRR (2021)
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. ACM Trans. Softw. Eng. Methodol. 30 (3) (2021)
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. ASE (2020)
Shudi Shao, Zhengyi Qiu, Xiao Yu, Wei Yang, Guoliang Jin, Tao Xie, Xintao Wu
Database-Access Performance Antipatterns in Database-Backed Web Applications. ICSME (2020)
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. IEEE Symposium on Security and Privacy (2020)
Simin Chen, Soroush Bateni, Sampath Grandhi, Xiaodi Li, Cong Liu, Wei Yang
DENAS: automated rule generation by knowledge extraction from neural networks. ESEC/SIGSOFT FSE (2020)
Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang
ILFO: Adversarial Attack on Adaptive Neural Networks. CVPR (2020)
Yueming Wu, Xiaodi Li, Deqing Zou, Wei Yang, Xin Zhang, Hai Jin
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis. ASE (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. ICSE (Companion Volume) (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. DSN (Industry Track) (2019)
Qi Wang, Pubali Datta, Wei Yang, Si Liu, Adam Bates, Carl A. Gunter
Charting the Attack Surface of Trigger-Action IoT Platforms. CCS (2019)
Zhengkai Wu, Evan Johnson, Wei Yang, Osbert Bastani, Dawn Song, Jian Peng, Tao Xie
REINAM: reinforcement learning for input-grammar inference. ESEC/SIGSOFT FSE (2019)
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. ASE (2018)
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. EMNLP (2018)
Siwakorn Srisakaokul, Zexuan Zhong, Yuhao Zhang, Wei Yang, Tao Xie
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. CoRR (2018)
Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Tao Xie
Oracle-free Detection of Translation Issue for Neural Machine Translation. CoRR (2018)
Wei Yang, Tao Xie
Telemade: A Testing Framework for Learning-Based Malware Detection Systems. AAAI Workshops (2018)
Xueqing Liu, Yue Leng, Wei Yang, Wenyu Wang, Chengxiang Zhai, Tao Xie
A Large-Scale Empirical Study on Android Runtime-Permission Rationale Messages. VL/HCC (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? AAAI Workshops (2018)
Xueqing Liu, Yue Leng, Wei Yang, Chengxiang Zhai, Tao Xie
Mining Android App Descriptions for Permission Requirements Recommendation. RE (2018)
Karan Ganju, Qi Wang, Wei Yang, Carl A. Gunter, Nikita Borisov
Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations. CCS (2018)
Wei Yang, Mukul R. Prasad, Tao Xie
EnMobile: entity-based characterization and analysis of mobile malware. ICSE (2018)
Wei Yang, Deguang Kong, Tao Xie, Carl A. Gunter
Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps. 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. ICSE-SEIP (2017)
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? SIGSOFT FSE (2016)
Soteris Demetriou, Whitney Merrill, Wei Yang, Aston Zhang, Carl A. Gunter
Free for All! Assessing User Data Exposure to Advertising Libraries on Android. NDSS (2016)
Wei Yang, Xusheng Xiao, Benjamin Andow, Sihan Li, Tao Xie, William Enck
AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context. ICSE (1) (2015)
Wei Yang, Xusheng Xiao, Rahul Pandita, William Enck, Tao Xie
Improving mobile application security via bridging user expectations and application behaviors. HotSoS (2014)
Wei Yang, Mukul R. Prasad, Tao Xie
A Grey-Box Approach for Automated GUI-Model Generation of Mobile Applications. FASE (2013)
Rahul Pandita, Xusheng Xiao, Wei Yang, William Enck, Tao Xie
WHYPER: Towards Automating Risk Assessment of Mobile Applications. USENIX Security Symposium (2013)