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Shaohua Wang 0002
Person information
- affiliation: New Jersey Institute of Technology, Department of Informatics, Newark, NJ, USA
- affiliation (PhD 2016): Queen's University, School of Computing, Kingston, Canada
Other persons with the same name
- Shaohua Wang — disambiguation page
- Shaohua Wang 0001
— Chinese Academy of Sciences, Aerospace Information Research Institute, Bejing, China (and 3 more)
- Shaohua Wang 0003
- Shaohua Wang 0004
- Shaohua Wang 0005 — Shanghai University, Shanghai, China
- Shaohua Wang 0006
- Shaohua Wang 0007 — University of Alberta, Edmonton, Canada
- Shaohua Wang 0008 — China Academy of Electronics and Information Technology, Beijing, China
- Shaohua Wang 0009 — Institute of Geographic Sciences and Natural Resources Research, CAS, China
- Shaohua Wang 0010 — Key Laboratory of Geospatial Technology For the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng, China
- Shaohua Wang 0011 — Chongqing Communication Institute of P.L.A., Chongqing, China
- Shaohua Wang 0012 — Xidian University, Xi'an, China
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2020 – today
- 2024
- [j15]Aashish Yadavally
A Learning-Based Approach to Static Program Slicing. Proc. ACM Program. Lang. 8(OOPSLA1): 83-109 (2024) - [j14]Yan Wang
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) - [c40]Yi Li
Poirot: Deep Learning for API Misuse Detection. ICSE Companion 2024: 302-303 - [c39]Md Nakhla Rafi
Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency. ICSE Companion 2024: 386-387 - [c38]Zhongzhen Wen
Silent Taint-Style Vulnerability Fixes Identification. ISSTA 2024: 428-439 - [c37]Xin Yin
ThinkRepair: Self-Directed Automated Program Repair. ISSTA 2024: 1274-1286 - [c36]Zhipeng Xue
SelfPiCo: Self-Guided Partial Code Execution with LLMs. ISSTA 2024: 1389-1401 - [c35]Chao Ni
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations. MSR 2024: 738-742 - [i16]Xin Yin, Chao Ni, Shaohua Wang:
Multitask-based Evaluation of Open-Source LLM on Software Vulnerability. CoRR abs/2404.02056 (2024) - [i15]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. CoRR abs/2405.11196 (2024) - [i14]Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, Shaohua Wang:
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation. CoRR abs/2406.12415 (2024) - [i13]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. CoRR abs/2406.15743 (2024) - [i12]Xin Yin, Chao Ni, Tien N. Nguyen, Shaohua Wang, Xiaohu Yang:
Rectifier: Code Translation with Corrector via LLMs. CoRR abs/2407.07472 (2024) - [i11]Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li:
SelfPiCo: Self-Guided Partial Code Execution with LLMs. CoRR abs/2407.16974 (2024) - [i10]Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, Xiaohu Yang:
ThinkRepair: Self-Directed Automated Program Repair. CoRR abs/2407.20898 (2024) - [i9]Chao Ni, Liyu Shen, Xiaodan Xu, Xin Yin, Shaohua Wang:
Learning-based Models for Vulnerability Detection: An Extensive Study. CoRR abs/2408.07526 (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. ICSE 2023: 2249-2261 - [c33]Xu Yang, Shaowei Wang, Yi Li, Shaohua Wang:
Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays! ICSE 2023: 2287-2298 - [c32]Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, Shaohua Wang:
(Partial) Program Dependence Learning. ICSE 2023: 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. ASE 2023: 345-357 - [c30]Yi Li, Shaohua Wang, Tien N. Nguyen:
Contextuality of Code Representation Learning. ASE 2023: 548-559 - [c29]Yi Li
DeMinify: Neural Variable Name Recovery and Type Inference. ESEC/SIGSOFT FSE 2023: 758-770 - [c28]Yi Li
Commit-Level, Neural Vulnerability Detection and Assessment. ESEC/SIGSOFT FSE 2023: 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. CoRR abs/2308.10523 (2023) - [i7]An Ran Chen, Md Nakhla Rafi, Tse-Hsun Chen
Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization. CoRR abs/2310.19139 (2023) - 2022
- [j12]Yi Li, Shaohua Wang
Rap4DQ: Learning to recommend relevant API documentation for developer questions. Empir. Softw. Eng. 27(1): 23 (2022) - [j11]Jiaxin Du
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
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. ICSE 2022: 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. ASE 2022: 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 FSE 2022: 221-232 - [c24]Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault localization to detect co-change fixing locations. ESEC/SIGSOFT FSE 2022: 659-671 - [i6]Yi Li, Shaohua Wang, Tien N. Nguyen:
DEAR: A Novel Deep Learning-based Approach for Automated Program Repair. CoRR abs/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. GIS 25(5): 2675-2700 (2021) - [j8]Shaohua Wang
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. ICSE 2021: 574-586 - [c21]Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault Localization with Code Coverage Representation Learning. ICSE 2021: 661-673 - [c20]Yi Li, Shaohua Wang, Tien N. Nguyen:
Vulnerability detection with fine-grained interpretations. ESEC/SIGSOFT FSE 2021: 292-303 - [i5]Yi Li, Shaohua Wang, Tien N. Nguyen:
A Context-based Automated Approach for Method Name Consistency Checking and Suggestion. CoRR abs/2103.00269 (2021) - [i4]Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault Localization with Code Coverage Representation Learning. CoRR abs/2103.00270 (2021) - [i3]Yi Li, Shaohua Wang, Tien N. Nguyen:
Vulnerability Detection with Fine-grained Interpretations. CoRR abs/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. ICSE 2020: 602-614 - [c16]Jiahao Fan
A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries. MSR 2020: 508-512
2010 – 2019
- 2019
- [j7]Ehsan Noei
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. ASE 2019: 710-721 - [c14]Shaohua Wang
Extracting API tips from developer question and answer websites. MSR 2019: 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. CoRR abs/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. CoRR abs/1911.07781 (2019) - 2018
- [j5]Liliane Barbour, Le An, Foutse Khomh
An investigation of the fault-proneness of clone evolutionary patterns. Softw. Qual. J. 26(4): 1187-1222 (2018) - 2017
- [j4]Shaohua Wang
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
A Personalized Assistant Framework for Service Recommendation. SCC 2017: 92-99 - [c12]Yu Zhao, Shaohua Wang
Automatically Learning User Preferences for Personalized Service Composition. ICWS 2017: 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
Improving bug management using correlations in crash reports. Empir. Softw. Eng. 21(2): 337-367 (2016) - [c11]Pradeep K. Venkatesh, Shaohua Wang
What Do Client Developers Concern When Using Web APIs? An Empirical Study on Developer Forums and Stack Overflow. ICWS 2016: 131-138 - [c10]Yu Zhao, Shaohua Wang
Mining User Intents to Compose Services for End-Users. ICWS 2016: 348-355 - 2015
- [j1]Shaohua Wang
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
Learning to Reuse User Inputs in Service Composition. ICWS 2015: 695-702 - [c8]Shaohua Wang
Automatic Filling Values to Services: A Road Map. SERVICES 2015: 275-277 - 2014
- [c7]Shaohua Wang, Iman Keivanloo, Ying Zou:
How Do Developers React to RESTful API Evolution? ICSOC 2014: 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. ICWE 2014: 21-39 - [c5]Shaohua Wang
Automatic Propagation of User Inputs in Service Composition for End-Users. ICWS 2014: 73-80 - 2013
- [c4]Bipin Upadhyaya, Ying Zou, Shaohua Wang
Automatically Composing Services by Mining Process Knowledge from the Web. ICSOC 2013: 267-282 - [c3]Shaohua Wang
Improving bug localization using correlations in crash reports. MSR 2013: 247-256 - [c2]Shaohua Wang
An Intelligent Framework for Auto-filling Web Forms from Different Web Applications. SERVICES 2013: 175-179
2000 – 2009
- 2008
- [c1]Jie Liang, Yanyin Zhang, Jianguo Lu, Sabiha Sathulla, Ding Chen, Shaohua Wang
A Rental Advising System Based on Service Oriented Architecture. SERVICES I 2008: 184-190
Coauthor Index
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last updated on 2024-12-12 20:53 CET by the dblp team
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