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Wei Yang 0013
杨威
Person information
- unicode name: 杨威
- affiliation: University of Texas at Dallas, TX, USA
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
Other persons with the same name
- Wei Yang — disambiguation page
- Wei Yang 0001
— Qualcomm Technologies, Inc., San Diego, CA, USA (and 3 more)
- Wei Yang 0002 — Chinese Academy of Sciences, Beijing, China
- Wei Yang 0003
- Wei Yang 0004
- Wei Yang 0005
- Wei Yang 0006
- Wei Yang 0007
- Wei Yang 0008
- Wei Yang 0009
- Wei Yang 0010
- Wei Yang 0011
- Wei Yang 0012
- Wei Yang 0014
- Wei Yang 0015
- Wei Yang 0016
- Wei Yang 0017 — University of Waterloo, Borealis AI, ON, Canada
- Wei Yang 0018
- Wei Yang 0019
- Wei Yang 0020
- Wei Yang 0021
- Wei Yang 0022
- Wei Yang 0023
- Wei Yang 0024
- Wei Yang 0025
- Wei Yang 0026
- Wei Yang 0027
- Wei Yang 0028
- Wei Yang 0029
- Wei Yang 0030
- Wei Yang 0031
- Wei Yang 0032
- Wei Yang 0033 — Southern Medical University, School of Biomedical Engineering, Guangzhou, China (and 1 more)
- Wei Yang 0034
- Wei Yang 0036
- Wei Yang 0037 — National University of Defense Technology, School of Computer Science, Changsha, Hunan, China (and 1 more)
- Wei Yang 0038
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2020 – today
- 2024
- [j3]Simin Chen
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models. Proc. ACM Softw. Eng. 1(FSE): 1194-1215 (2024) - [j2]Simin Chen
DeciX: Explain Deep Learning Based Code Generation Applications. Proc. ACM Softw. Eng. 1(FSE): 2424-2446 (2024) - [c52]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. DAC 2024: 247:1-247:6 - [c51]Dezhi Ran
Guardian: A Runtime Framework for LLM-Based UI Exploration. ISSTA 2024: 958-970 - [c50]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: 3043-3052 - [i27]Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, Wei Yang:
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models. CoRR abs/2401.15545 (2024) - [i26]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 abs/2402.05939 (2024) - [i25]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 abs/2402.09745 (2024) - [i24]Dezhi Ran, Mengzhou Wu, Wei Yang, Tao Xie:
Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software. CoRR abs/2407.08176 (2024) - [i23]Mengzhou Wu, Hao Wang, Jun Ren, Yuan Cao, Yuetong Li, Alex Jiang, Dezhi Ran, Yitao Hu, Wei Yang, Tao Xie:
Skill-Adpative Imitation Learning for UI Test Reuse. CoRR abs/2409.13311 (2024) - 2023
- [c49]Yiming Chen, Simin Chen, Zexin Li
Dynamic Transformers Provide a False Sense of Efficiency. ACL (1) 2023: 7164-7180 - [c48]Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang:
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection. CVPR 2023: 24585-24594 - [c47]Mirazul Haque, Wei Yang:
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks. ICCV (Workshops) 2023: 1489-1498 - [c46]Mirazul Haque, Simin Chen, Wasif Arman Haque, Cong Liu, Wei Yang:
AntiNODE: Evaluating Efficiency Robustness of Neural ODEs. ICCV (Workshops) 2023: 1499-1509 - [c45]Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang:
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. INTERSPEECH 2023: 1274-1278 - [c44]Simin Chen, Shiyi Wei, Cong Liu, Wei Yang:
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization. ISSTA 2023: 614-626 - [c43]Yufei Li
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models. RTSS 2023: 158-171 - [i22]Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li:
Dynamic Transformers Provide a False Sense of Efficiency. CoRR abs/2305.12228 (2023) - [i21]Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang:
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. CoRR abs/2306.00794 (2023) - [i20]Simin Chen, Shiyi Wei, Cong Liu, Wei Yang:
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization. CoRR abs/2307.04963 (2023) - [i19]Zexin Li, Xiaoxi He, Yufei Li, Shahab Nikkhoo, Wei Yang, Lothar Thiele, Cong Liu:
MIMONet: Multi-Input Multi-Output On-Device Deep Learning. CoRR abs/2307.11962 (2023) - [i18]Mirazul Haque, Wei Yang:
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks. CoRR abs/2308.08709 (2023) - [i17]Yufei Li, Zexin Li, Wei Yang, Cong Liu:
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models. CoRR abs/2309.06619 (2023) - 2022
- [c42]Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu:
TestAug: A Framework for Augmenting Capability-based NLP Tests. COLING 2022: 3480-3495 - [c41]Mirazul Haque, Christof J. Budnik, Wei Yang:
CorrGAN: Input Transformation Technique Against Natural Corruptions. CVPR Workshops 2022: 193-196 - [c40]Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang:
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. CVPR 2022: 15344-15353 - [c39]Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu:
EREBA: Black-box Energy Testing of Adaptive Neural Networks. ICSE 2022: 835-846 - [c38]Yueming Wu
VulCNN: An Image-inspired Scalable Vulnerability Detection System. ICSE 2022: 2365-2376 - [c37]Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang:
Learn to Reverse DNNs from AI Programs Automatically. IJCAI 2022: 666-672 - [c36]Zihe Song, Yingfeng Chen, Lei Ma, Shangjie Lu, Honglei Lin, Changjie Fan, Wei Yang:
An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report). ISSRE 2022: 217-228 - [c35]Simin Chen, Mirazul Haque, Cong Liu, Wei Yang
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. ASE 2022: 31:1-31:13 - [c34]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: 1148-1160 - [i16]Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu:
EREBA: Black-box Energy Testing of Adaptive Neural Networks. CoRR abs/2202.06084 (2022) - [i15]Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang:
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. CoRR abs/2203.15859 (2022) - [i14]Mirazul Haque, Christof J. Budnik, Wei Yang:
CorrGAN: Input Transformation Technique Against Natural Corruptions. CoRR abs/2204.08623 (2022) - [i13]Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang:
Learning to Reverse DNNs from AI Programs Automatically. CoRR abs/2205.10364 (2022) - [i12]Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang:
NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems. CoRR abs/2210.03696 (2022) - [i11]Simin Chen, Mirazul Haque, Cong Liu, Wei Yang:
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. CoRR abs/2210.05370 (2022) - [i10]Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu:
TestAug: A Framework for Augmenting Capability-based NLP Tests. CoRR abs/2210.08097 (2022) - 2021
- [j1]Deqing Zou, Yueming Wu
IntDroid: Android Malware Detection Based on API Intimacy Analysis. ACM Trans. Softw. Eng. Methodol. 30(3): 39:1-39:32 (2021) - [c33]Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang:
UI-Based Flaky Tests Dataset. ICSE (Companion Volume) 2021: 234-235 - [c32]Alan Romano
An Empirical Analysis of UI-based Flaky Tests. ICSE 2021: 1585-1597 - [c31]Wenbin Zuo, Wei Yang, Zhixin Hu, Lei Zhang:
Acoustic fingerprint based smart mobiles indoor localization under dense NLOS environment. ICSPCC 2021: 1-6 - [c30]Fei Shao, Rui Xu, Wasif Arman Haque, Jingwei Xu, Ying Zhang, Wei Yang
WebEvo: taming web application evolution via detecting semantic structure changes. ISSTA 2021: 16-28 - [c29]Yueming Wu
HomDroid: detecting Android covert malware by social-network homophily analysis. ISSTA 2021: 216-229 - [c28]Wenyu Wang
Vet: identifying and avoiding UI exploration tarpits. ESEC/SIGSOFT FSE 2021: 83-94 - [c27]Ke Chen
GLIB: towards automated test oracle for graphically-rich applications. ESEC/SIGSOFT FSE 2021: 1093-1104 - [i9]Wenyu Wang, Wei Yang, Tianyin Xu, Tao Xie:
Speculating Ineffective UI Exploration via Trace Analysis. CoRR abs/2102.06377 (2021) - [i8]Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang:
An Empirical Analysis of UI-based Flaky Tests. CoRR abs/2103.02669 (2021) - [i7]Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang:
GLIB: Towards Automated Test Oracle for Graphically-Rich Applications. CoRR abs/2106.10507 (2021) - [i6]Yueming Wu, Shihan Dou, Deqing Zou, Wei Yang, Weizhong Qiang, Hai Jin:
Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning. CoRR abs/2107.03799 (2021) - [i5]Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, Hai Jin:
HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis. CoRR abs/2107.04743 (2021) - [i4]Yufei Li, Simin Chen, Wei Yang:
Estimating Predictive Uncertainty Under Program Data Distribution Shift. CoRR abs/2107.10989 (2021) - [i3]Shihan Dou, Yueming Wu, Wenxuan Li, Feng Cheng, Wei Yang, Yang Liu:
Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner. CoRR abs/2112.06250 (2021) - 2020
- [c26]Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang:
ILFO: Adversarial Attack on Adaptive Neural Networks. CVPR 2020: 14252-14261 - [c25]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: 58-69 - [c24]Yueming Wu
SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis. ASE 2020: 821-833 - [c23]Simin Chen, Soroush Bateni
DENAS: automated rule generation by knowledge extraction from neural networks. ESEC/SIGSOFT FSE 2020: 813-825 - [c22]Yuyu He, Lei Zhang, Zhemin Yang, Yinzhi Cao, Keke Lian, Shuai Li
TextExerciser: Feedback-driven Text Input Exercising for Android Applications. SP 2020: 1071-1087
2010 – 2019
- 2019
- [c21]Qi Wang, Pubali Datta, Wei Yang, Si Liu
Charting the Attack Surface of Trigger-Action IoT Platforms. CCS 2019: 1439-1453 - [c20]Wenyu Wang
Detecting Failures of Neural Machine Translation in the Absence of Reference Translations. DSN (Industry Track) 2019: 1-4 - [c19]Wujie Zheng, Wenyu Wang
Testing untestable neural machine translation: an industrial case. ICSE (Companion Volume) 2019: 314-315 - [c18]Yueming Wu
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis. ASE 2019: 139-150 - [c17]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: 488-498 - 2018
- [c16]Wei Yang, Tao Xie:
Telemade: A Testing Framework for Learning-Based Malware Detection Systems. AAAI Workshops 2018: 400-403 - [c15]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: 791-794 - [c14]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: 619-633 - [c13]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: 1608-1618 - [c12]Wei Yang, Mukul R. Prasad, Tao Xie:
EnMobile: entity-based characterization and analysis of mobile malware. ICSE 2018: 384-394 - [c11]Wenyu Wang
An empirical study of Android test generation tools in industrial cases. ASE 2018: 738-748 - [c10]Xueqing Liu, Yue Leng, Wei Yang, Chengxiang Zhai, Tao Xie:
Mining Android App Descriptions for Permission Requirements Recommendation. RE 2018: 147-158 - [c9]Xueqing Liu, Yue Leng, Wei Yang, Wenyu Wang
A Large-Scale Empirical Study on Android Runtime-Permission Rationale Messages. VL/HCC 2018: 137-146 - [i2]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 abs/1807.02340 (2018) - [i1]Siwakorn Srisakaokul, Zexuan Zhong, Yuhao Zhang, Wei Yang, Tao Xie:
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. CoRR abs/1809.00065 (2018) - 2017
- [c8]Wei Yang, Deguang Kong, Tao Xie, Carl A. Gunter:
Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps. ACSAC 2017: 288-302 - [c7]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: 253-262 - 2016
- [c6]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 - [c5]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: 987-992 - 2015
- [c4]Wei Yang, Xusheng Xiao
AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context. ICSE (1) 2015: 303-313 - 2014
- [c3]Wei Yang, Xusheng Xiao
Improving mobile application security via bridging user expectations and application behaviors. HotSoS 2014: 32 - 2013
- [c2]Wei Yang, Mukul R. Prasad, Tao Xie:
A Grey-Box Approach for Automated GUI-Model Generation of Mobile Applications. FASE 2013: 250-265 - [c1]Rahul Pandita, Xusheng Xiao, Wei Yang, William Enck, Tao Xie:
WHYPER: Towards Automating Risk Assessment of Mobile Applications. USENIX Security Symposium 2013: 527-542
Coauthor Index
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