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• affiliation:New Jersey Institute of Technology, Department of Informatics, Newark, NJ, USA
• affiliation (PhD 2016):Queen's University, School of Computing, Kingston, Canada

• Shaohua Wang —disambiguation page
• Shaohua Wang0001 —Chinese Academy of Sciences, Aerospace Information Research Institute, Bejing, China(and 3 more)
• Shaohua Wang0003 — Wuhan University, China
• Shaohua Wang0004 — Jiangsu University, Zhenjiang, China
• Shaohua Wang0005 — Shanghai University, Shanghai, China
• Shaohua Wang0006 — Jilin University, Changchun, China
• Shaohua Wang0007 — University of Alberta, Edmonton, Canada
• Shaohua Wang0008 — China Academy of Electronics and Information Technology, Beijing, China
• Shaohua Wang0009 — Institute of Geographic Sciences and Natural Resources Research, CAS, China
• Shaohua Wang0010 — Key Laboratory of Geospatial Technology For the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng, China
• Shaohua Wang0011 — Chongqing Communication Institute of P.L.A., Chongqing, China
• Shaohua Wang0012 — Xidian University, Xi'an, China

• Shao-Hua Wang
• Shaohua Alex Wang — National Institutes of Health, Center for Information Technology, Bethesda, MD, USA

• 2026
• 
  [j19]
  Chao Ni,Xin Yin,Liyu Shen,Shaohua Wang:
  Learning-based models for vulnerability detection: an extensive study.Empir. Softw. Eng.31(1):18 (2026)
• 
  [i19]
  Feifei Li,Xiao Chen,Xiaoyu Sun,Xi Xiao,Shaohua Wang,Yong Ding,Sheng Wen,Qing Li:
  Context-Free Grammar Inference for Complex Programming Languages in Black Box Settings.CoRRabs/2601.12385 (2026)
• 2025
• 
  [j18]
  Yi Li,Hridya Dhulipala,Aashish Yadavally,Xiaokai Rong,Shaohua Wang,Tien N. Nguyen:
  Blended Analysis for Predictive Execution.Proc. ACM Softw. Eng.2(FSE):2987-3008 (2025)
• 
  [j17]
  Lixin Xu,Huayao Wu,Zhenyu Pan,Tongtong Xu,Shaohua Wang,Xintao Niu,Changhai Nie:
  Effective REST APIs Testing with Error Message Analysis.Proc. ACM Softw. Eng.2(ISSTA):1978-2000 (2025)
• 
  [j16]
  Ruiqi Dong,Fanke Tong,He Huang,Xiaogang Zhu,Xi Xiao,Shaohua Wang,Sheng Wen,Yang Xiang:
  One Mutation Fits All: Exploring Universal Library Fuzzing Based on Exogenous Mutation.IEEE Trans. Dependable Secur. Comput.22(6):6580-6591 (2025)
• 
  [c45]
  Kunpeng Zhang,Shuai Wang,Jitao Han,Xiaogang Zhu,Xian Li,Shaohua Wang,Sheng Wen:
  Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models.ICSE2025:3110-3122
• 
  [c44]
  Ruiqi Dong,Zehang Deng,Xiaogang Zhu,Xiaoning Du,Huai Liu,Shaohua Wang,Sheng Wen,Yang Xiang:
  FailMapper: Automated Generation of Unit Tests Guided by Failure Scenarios.ASE2025:2388-2400
• 
  [c43]
  Xiaogang Zhu,Enze Dai,Xiaotao Feng,Shaohua Wang,Xin Xia,Sheng Wen,Kwok-Yan Lam,Yang Xiang:
  WingMuzz: Blackbox Testing of IoT Protocols via Two-dimensional Fuzzing Schedule.ASE2025:2580-2592
• 
  [c42]
  Md Nakhla Rafi,An Ran Chen,Tse-Hsun Peter Chen,Shaohua Wang:
  Revisiting Defects4J for Fault Localization in Diverse Development Scenarios.MSR2025:63-75
• 
  [i18]
  Yukai Zhao,Shaohua Wang,Jue Wang,Xing Hu,Xin Xia:
  Ensemble Fuzzing with Dynamic Resource Scheduling and Multidimensional Seed Evaluation.CoRRabs/2507.22442 (2025)
• 2024
• 
  [j15]
  Aashish Yadavally,Yi Li,Shaohua Wang,Tien N. Nguyen:
  A Learning-Based Approach to Static Program Slicing.Proc. ACM Program. Lang.8(OOPSLA1):83-109 (2024)
• 
  [j14]
  Yan Wang,Xiaoning Li,Tien N. Nguyen,Shaohua Wang,Chao Ni,Ling Ding:
  Natural Is the Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models.Proc. ACM Softw. Eng.1(FSE):586-608 (2024)
• 
  [j13]
  Xin Yin,Chao Ni,Shaohua Wang:
  Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability.IEEE Trans. Software Eng.50(11):3071-3087 (2024)
• 
  [c41]
  Yi Li,Tien N. Nguyen,Shaohua Wang,Aashish Yadavally:
  Poirot: Deep Learning for API Misuse Detection.ICSE Companion2024:302-303
• 
  [c40]
  Md Nakhla Rafi,An Ran Chen,Tse-Hsun (Peter) Chen,Shaohua Wang:
  Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency.ICSE Companion2024:386-387
• 
  [c39]
  Zhongzhen Wen,Jiayuan Zhou,Minxue Pan,Shaohua Wang,Xing Hu,Tongtong Xu,Tian Zhang,Xuandong Li:
  Silent Taint-Style Vulnerability Fixes Identification.ISSTA2024:428-439
• 
  [c38]
  Xin Yin,Chao Ni,Shaohua Wang,Zhenhao Li,Limin Zeng,Xiaohu Yang:
  ThinkRepair: Self-Directed Automated Program Repair.ISSTA2024:1274-1286
• 
  [c37]
  Zhipeng Xue,Zhipeng Gao,Shaohua Wang,Xing Hu,Xin Xia,Shanping Li:
  SelfPiCo: Self-Guided Partial Code Execution with LLMs.ISSTA2024:1389-1401
• 
  [c36]
  Feifei Li,Xiao Chen,Xi Xiao,Xiaoyu Sun,Chuan Chen,Shaohua Wang,Jitao Han:
  Incremental Context-free Grammar Inference in Black Box Settings.ASE2024:1171-1182
• 
  [c35]
  Chao Ni,Liyu Shen,Xiaohu Yang,Yan Zhu,Shaohua Wang:
  MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations.MSR2024:738-742
• 
  [i17]
  Xin Yin,Chao Ni,Shaohua Wang:
  Multitask-based Evaluation of Open-Source LLM on Software Vulnerability.CoRRabs/2404.02056 (2024)
• 
  [i16]
  Yan Wang,Xiaoning Li,Tien Nguyen,Shaohua Wang,Chao Ni,Ling Ding:
  Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models.CoRRabs/2405.11196 (2024)
• 
  [i15]
  Chao Ni,Liyu Shen,Xiaohu Yang,Yan Zhu,Shaohua Wang:
  MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation.CoRRabs/2406.12415 (2024)
• 
  [i14]
  Chao Ni,Xiaoya Wang,Liushan Chen,Dehai Zhao,Zhengong Cai,Shaohua Wang,Xiaohu Yang:
  CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation.CoRRabs/2406.15743 (2024)
• 
  [i13]
  Xin Yin,Chao Ni,Tien N. Nguyen,Shaohua Wang,Xiaohu Yang:
  Rectifier: Code Translation with Corrector via LLMs.CoRRabs/2407.07472 (2024)
• 
  [i12]
  Zhipeng Xue,Zhipeng Gao,Shaohua Wang,Xing Hu,Xin Xia,Shanping Li:
  SelfPiCo: Self-Guided Partial Code Execution with LLMs.CoRRabs/2407.16974 (2024)
• 
  [i11]
  Xin Yin,Chao Ni,Shaohua Wang,Zhenhao Li,Limin Zeng,Xiaohu Yang:
  ThinkRepair: Self-Directed Automated Program Repair.CoRRabs/2407.20898 (2024)
• 
  [i10]
  Chao Ni,Liyu Shen,Xiaodan Xu,Xin Yin,Shaohua Wang:
  Learning-based Models for Vulnerability Detection: An Extensive Study.CoRRabs/2408.07526 (2024)
• 
  [i9]
  Feifei Li,Xiao Chen,Xi Xiao,Xiaoyu Sun,Chuan Chen,Shaohua Wang,Jitao Han:
  Incremental Context-free Grammar Inference in Black Box Settings.CoRRabs/2408.16706 (2024)
• 2023
• 
  [c34]
  Wenbo Wang,Tien N. Nguyen,Shaohua Wang,Yi Li,Jiyuan Zhang,Aashish Yadavally:
  DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection.ICSE2023:2249-2261
• 
  [c33]
  Xu Yang,Shaowei Wang,Yi Li,Shaohua Wang:
  Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays!ICSE2023:2287-2298
• 
  [c32]
  Aashish Yadavally,Tien N. Nguyen,Wenbo Wang,Shaohua Wang:
  (Partial) Program Dependence Learning.ICSE2023:2501-2513
• 
  [c31]
  Xin-Cheng Wen,Xinchen Wang,Cuiyun Gao,Shaohua Wang,Yang Liu,Zhaoquan Gu:
  When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection.ASE2023:345-357
• 
  [c30]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  Contextuality of Code Representation Learning.ASE2023:548-559
• 
  [c29]
  Yi Li,Aashish Yadavally,Jiaxing Zhang,Shaohua Wang,Tien N. Nguyen:
  DeMinify: Neural Variable Name Recovery and Type Inference.ESEC/SIGSOFT FSE2023:758-770
• 
  [c28]
  Yi Li,Aashish Yadavally,Jiaxing Zhang,Shaohua Wang,Tien N. Nguyen:
  Commit-Level, Neural Vulnerability Detection and Assessment.ESEC/SIGSOFT FSE2023:1024-1036
• 
  [i8]
  Xin-Cheng Wen,Xinchen Wang,Cuiyun Gao,Shaohua Wang,Yang Liu,Zhaoquan Gu:
  When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection.CoRRabs/2308.10523 (2023)
• 
  [i7]
  An Ran Chen,Md Nakhla Rafi,Tse-Hsun Chen,Shaohua Wang:
  Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization.CoRRabs/2310.19139 (2023)
• 2022
• 
  [j12]
  Yi Li,Shaohua Wang,Wenbo Wang,Tien N. Nguyen,Yan Wang,Xinyue Ye:
  Rap4DQ: Learning to recommend relevant API documentation for developer questions.Empir. Softw. Eng.27(1):23 (2022)
• 
  [j11]
  Jiaxin Du,Shaohua Wang,Xinyue Ye,Diana Stuart Sinton,Karen Kemp:
  GIS-KG: building a large-scale hierarchical knowledge graph for geographic information science.Int. J. Geogr. Inf. Sci.36(5):873-897 (2022)
• 
  [j10]
  Huan Ning,Zhenlong Li,Xinyue Ye,Shaohua Wang,Wenbo Wang,Xiao Huang:
  Exploring the vertical dimension of street view image based on deep learning: a case study on lowest floor elevation estimation.Int. J. Geogr. Inf. Sci.36(7):1317-1342 (2022)
• 
  [c27]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  DEAR: A Novel Deep Learning-based Approach for Automated Program Repair.ICSE2022:511-523
• 
  [c26]
  Hoan Anh Nguyen,Hung Dang Phan,Syeda Khairunnesa Samantha,Son Nguyen,Aashish Yadavally,Shaohua Wang,Hridesh Rajan,Tien N. Nguyen:
  A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications.ASE2022:2:1-2:13
• 
  [c25]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model.ESEC/SIGSOFT FSE2022:221-232
• 
  [c24]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  Fault localization to detect co-change fixing locations.ESEC/SIGSOFT FSE2022:659-671
• 
  [i6]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  DEAR: A Novel Deep Learning-based Approach for Automated Program Repair.CoRRabs/2205.01859 (2022)
• 2021
• 
  [j9]
  Wenbo Wang,Yi Li,Shaohua Wang,Xinyue Ye:
  QA4GIS: A novel approach learning to answer GIS developer questions with API documentation.Trans. GIS25(5):2675-2700 (2021)
• 
  [j8]
  Shaohua Wang,Ying Zou,Joanna Ng,Tinny Ng:
  Context-Aware Service Input Ranking by Learning from Historical Information.IEEE Trans. Serv. Comput.14(1):97-110 (2021)
• 
  [c23]
  Yan Wang,Yanan Zheng,Shimin Jiang,Yucheng Dong,Jessica Chen,Shaohua Wang:
  Generating Contextually Coherent Responses by Learning Structured Vectorized Semantics.DASFAA (2)2021:70-87
• 
  [c22]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  A Context-based Automated Approach for Method Name Consistency Checking and Suggestion.ICSE2021:574-586
• 
  [c21]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  Fault Localization with Code Coverage Representation Learning.ICSE2021:661-673
• 
  [c20]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  Vulnerability detection with fine-grained interpretations.ESEC/SIGSOFT FSE2021:292-303
• 
  [i5]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  A Context-based Automated Approach for Method Name Consistency Checking and Suggestion.CoRRabs/2103.00269 (2021)
• 
  [i4]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  Fault Localization with Code Coverage Representation Learning.CoRRabs/2103.00270 (2021)
• 
  [i3]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  Vulnerability Detection with Fine-grained Interpretations.CoRRabs/2106.10478 (2021)
• 2020
• 
  [c19]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  Improving automated program repair using two-layer tree-based neural networks.ICSE (Companion Volume)2020:316-317
• 
  [c18]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  An empirical study on the characteristics of question-answering process on developer forums.ICSE (Companion Volume)2020:318-319
• 
  [c17]
  Yi Li,Shaohua Wang,Tien N. Nguyen:
  DLFix: context-based code transformation learning for automated program repair.ICSE2020:602-614
• 
  [c16]
  Jiahao Fan,Yi Li,Shaohua Wang,Tien N. Nguyen:
  A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries.MSR2020:508-512

• 2019
• 
  [j7]
  Ehsan Noei,Feng Zhang,Shaohua Wang,Ying Zou:
  Towards prioritizing user-related issue reports of mobile applications.Empir. Softw. Eng.24(4):1964-1996 (2019)
• 
  [j6]
  Yi Li,Shaohua Wang,Tien N. Nguyen,Son Van Nguyen:
  Improving bug detection via context-based code representation learning and attention-based neural networks.Proc. ACM Program. Lang.3(OOPSLA):162:1-162:30 (2019)
• 
  [c15]
  Son Van Nguyen,Tien N. Nguyen,Yi Li,Shaohua Wang:
  Combining Program Analysis and Statistical Language Model for Code Statement Completion.ASE2019:710-721
• 
  [c14]
  Shaohua Wang,NhatHai Phan,Yan Wang,Yong Zhao:
  Extracting API tips from developer question and answer websites.MSR2019:321-332
• 
  [i2]
  Yi Li,Shaohua Wang,Tien N. Nguyen,Son Van Nguyen,Xinyue Ye,Yan Wang:
  An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums.CoRRabs/1909.02616 (2019)
• 
  [i1]
  Son Van Nguyen,Tien N. Nguyen,Yi Li,Shaohua Wang:
  Combining Program Analysis and Statistical Language Model for Code Statement Completion.CoRRabs/1911.07781 (2019)
• 2018
• 
  [j5]
  Liliane Barbour,Le An,Foutse Khomh,Ying Zou,Shaohua Wang:
  An investigation of the fault-proneness of clone evolutionary patterns.Softw. Qual. J.26(4):1187-1222 (2018)
• 2017
• 
  [j4]
  Shaohua Wang,Ying Zou,Iman Keivanloo,Bipin Upadhyaya,Joanna Ng:
  An intelligent framework for auto-filling web forms from different web applications.Int. J. Bus. Process. Integr. Manag.8(1):16-30 (2017)
• 
  [j3]
  Seyyed Ehsan Salamati Taba,Iman Keivanloo,Ying Zou,Shaohua Wang:
  An exploratory study on the usage of common interface elements in android applications.J. Syst. Softw.131:491-504 (2017)
• 
  [c13]
  Pradeep K. Venkatesh,Shaohua Wang,Ying Zou,Joanna W. Ng:
  A Personalized Assistant Framework for Service Recommendation.SCC2017:92-99
• 
  [c12]
  Yu Zhao,Shaohua Wang,Ying Zou,Joanna Ng,Tinny Ng:
  Automatically Learning User Preferences for Personalized Service Composition.ICWS2017:776-783
• 2016
• 
  [b1]
  Shaohua Wang:
  Assisting End-users in Filling Out Web Services. Queen's University at Kingston, Ontario, Canada,2016
• 
  [j2]
  Shaohua Wang,Foutse Khomh,Ying Zou:
  Improving bug management using correlations in crash reports.Empir. Softw. Eng.21(2):337-367 (2016)
• 
  [c11]
  Pradeep K. Venkatesh,Shaohua Wang,Feng Zhang,Ying Zou,Ahmed E. Hassan:
  What Do Client Developers Concern When Using Web APIs? An Empirical Study on Developer Forums and Stack Overflow.ICWS2016:131-138
• 
  [c10]
  Yu Zhao,Shaohua Wang,Ying Zou,Joanna W. Ng,Tinny Ng:
  Mining User Intents to Compose Services for End-Users.ICWS2016:348-355
• 2015
• 
  [j1]
  Shaohua Wang,Ying Zou,Iman Keivanloo,Bipin Upadhyaya,Joanna W. Ng,Tinny Ng:
  Automatic Reuse of User Inputs to Services among End-Users in Service Composition.IEEE Trans. Serv. Comput.8(3):343-355 (2015)
• 
  [c9]
  Shaohua Wang,Ying Zou,Joanna W. Ng,Tinny Ng:
  Learning to Reuse User Inputs in Service Composition.ICWS2015:695-702
• 
  [c8]
  Shaohua Wang,Ying Zou,Joanna Ng,Tinny Ng:
  Automatic Filling Values to Services: A Road Map.SERVICES2015:275-277
• 2014
• 
  [c7]
  Shaohua Wang,Iman Keivanloo,Ying Zou:
  How Do Developers React to RESTful API Evolution?ICSOC2014:245-259
• 
  [c6]
  Shaohua Wang,Ying Zou,Bipin Upadhyaya,Iman Keivanloo,Joanna W. Ng:
  An Empirical Study on Categorizing User Input Parameters for User Inputs Reuse.ICWE2014:21-39
• 
  [c5]
  Shaohua Wang,Bipin Upadhyaya,Ying Zou,Iman Keivanloo,Joanna W. Ng:
  Automatic Propagation of User Inputs in Service Composition for End-Users.ICWS2014:73-80
• 2013
• 
  [c4]
  Bipin Upadhyaya,Ying Zou,Shaohua Wang,Joanna Ng:
  Automatically Composing Services by Mining Process Knowledge from the Web.ICSOC2013:267-282
• 
  [c3]
  Shaohua Wang,Foutse Khomh,Ying Zou:
  Improving bug localization using correlations in crash reports.MSR2013:247-256
• 
  [c2]
  Shaohua Wang,Ying Zou,Bipin Upadhyaya,Joanna Ng:
  An Intelligent Framework for Auto-filling Web Forms from Different Web Applications.SERVICES2013:175-179

• 2008
• 
  [c1]
  Jie Liang,Yanyin Zhang,Jianguo Lu,Sabiha Sathulla,Ding Chen,Shaohua Wang:
  A Rental Advising System Based on Service Oriented Architecture.SERVICES I2008:184-190

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