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Beijun Shen

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affiliation: Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China

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Journal Articles

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2024
[j11]
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Xuan Li, Shuai Yuan, Xiaodong Gu, Yuting Chen, Beijun Shen:
Few-shot code translation via task-adapted prompt learning. J. Syst. Softw. 212: 112002 (2024)
2023
[j10]
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Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen:
DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing. Neural Process. Lett. 55(7): 8713-8730 (2023)
2022
[j9]
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Shuai Yuan, Haozhe Qin, Xiaodong Gu, Beijun Shen:
Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering. Int. J. Softw. Eng. Knowl. Eng. 32(7): 1101-1123 (2022)
[j8]
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Dangwei Wu, Beijun Shen, Yuting Chen, He Jiang, Lei Qiao:
Automatically repairing tensor shape faults in deep learning programs. Inf. Softw. Technol. 151: 107027 (2022)
2021
[j7]
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Mingxin Zhao, Qinyue Wu, Enze Ma, Beijun Shen, Yuting Chen:
Context-Aware Conversational Recommendation of Trigger-Action Rules in IoT Programming. Int. J. Softw. Eng. Knowl. Eng. 31(10): 1517-1538 (2021)
[j6]
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Yuetian Mao, Shuai Yuan, Nan Cui, Tianjiao Du, Beijun Shen, Yuting Chen:
DeFiHap: Detecting and Fixing HiveQL Anti-Patterns. Proc. VLDB Endow. 14(12): 2671-2674 (2021)
2020
[j5]
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Shuhan Yan, Tianjiao Du, Beijun Shen, Yuting Chen, Zhilei Ren:
Feedback2Code: A Deep Learning Approach to Identifying User-Feedback-Related Source Code Files. Int. J. Softw. Eng. Knowl. Eng. 30(1): 1-22 (2020)
[j4]
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Qinyue Wu, Duankang Fu, Beijun Shen, Yuting Chen:
Semantic Service Search in IT Crowdsourcing Platform: A Knowledge Graph-Based Approach. Int. J. Softw. Eng. Knowl. Eng. 30(6): 765-783 (2020)
2017
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Yunxiang Xiong, Zhangyuan Meng, Beijun Shen, Wei Yin:
Developer Identity Linkage and Behavior Mining Across GitHub and StackOverflow. Int. J. Softw. Eng. Knowl. Eng. 27(9-10): 1409-1426 (2017)
2016
[j2]
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Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li:
Automatically Modeling Developer Programming Ability and Interest Across Software Communities. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1493-1510 (2016)
2012
[j1]
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Menghan Chen, Beijun Shen:
Towards Agile Application Integration with M2M Platforms. KSII Trans. Internet Inf. Syst. 6(1): 84-97 (2012)

Conference and Workshop Papers

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2023
[c71]
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Xinyuan Miao, Ziyi Lin, Shaojun Wang, Lei Yu, Sanhong Li, Zihan Wang, Pengbo Nie, Yuting Chen, Beijun Shen, He Jiang:
Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX. ICSE 2023: 1648-1660
[c70]
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Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen:
InfeRE: Step-by-Step Regex Generation via Chain of Inference. ASE 2023: 1505-1515
[c69]
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Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen:
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. ASE 2023: 1529-1541
2022
[c68]
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  - conf/apsec/YuGS22
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Tingrui Yu, Xiaodong Gu, Beijun Shen:
Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training. APSEC 2022: 229-238
[c67]
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Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Meta Learning. ICSE 2022: 487-498
[c66]
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Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen:
Zero-shot program representation learning. ICPC 2022: 60-70
[c65]
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Shouliang Yang, Xiaodong Gu, Beijun Shen:
Self-supervised learning of smart contract representations. ICPC 2022: 82-93
[c64]
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Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen:
Answering Software Deployment Questions via Neural Machine Reading at Scale. ASE 2022: 151:1-151:4
[c63]
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  - conf/sigsoft/Zhang0S022
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Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Diet code is healthy: simplifying programs for pre-trained models of code. ESEC/SIGSOFT FSE 2022: 1073-1084
2021
[c62]
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Hushuang Zeng, Jingxin Chen, Beijun Shen, Hao Zhong:
Mining API Constraints from Library and Client to Detect API Misuses. APSEC 2021: 161-170
[c61]
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Nan Cui, Chunqi Chen, Beijun Shen, Yuting Chen:
Learning to Match Workers and Tasks via a Multi-View Graph Attention Network. COMPSAC 2021: 176-185
[c60]
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Xintian Yu, Enze Ma, Pengbo Nie, Beijun Shen, Yuting Chen, Ziyi Lin:
ApproxiFuzzer: Fuzzing towards Deep Code Snippets in Java Programs. COMPSAC 2021: 1149-1156
[c59]
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  - conf/issre/WuSC0Q21
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Dangwei Wu, Beijun Shen, Yuting Chen, He Jiang, Lei Qiao:
Tensfa: Detecting and Repairing Tensor Shape Faults in Deep Learning Systems. ISSRE 2021: 11-21
[c58]
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Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong:
Locating Faulty Methods with a Mixed RNN and Attention Model. ICPC 2021: 207-218
[c57]
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  - conf/qrs/ChenSC21
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Diwei Chen, Beijun Shen, Yuting Chen:
ConLAR: Learning to Allocate Resources to Docker Containers under Time-Varying Workloads. QRS 2021: 458-469
[c56]
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  - conf/www/QinZS21
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Haozhe Qin, Jiangang Zhu, Beijun Shen:
Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates. WWW 2021: 1959-1967
2020
[c55]
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  - conf/icsm/LiQYSC20
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Wei Li, Haozhe Qin, Shuhan Yan, Beijun Shen, Yuting Chen:
Learning Code-Query Interaction for Enhancing Code Searches. ICSME 2020: 115-126
[c54]
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  - conf/icsr/WuSC20
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Qinyue Wu, Beijun Shen, Yuting Chen:
Learning to Recommend Trigger-Action Rules for End-User Development - A Knowledge Graph Based Approach. ICSR 2020: 190-207
[c53]
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  - conf/kbse/CaoYJZSZ20
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Junming Cao, Shouliang Yang, Wenhui Jiang, Hushuang Zeng, Beijun Shen, Hao Zhong:
BugPecker: Locating Faulty Methods with Deep Learning on Revision Graphs. ASE 2020: 1214-1218
[c52]
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  - conf/wcre/YanYCSJ20
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Shuhan Yan, Hang Yu, Yuting Chen, Beijun Shen, Lingxiao Jiang:
Are the Code Snippets What We Are Searching for? A Benchmark and an Empirical Study on Code Search with Natural-Language Queries. SANER 2020: 344-354
2019
[c51]
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Wei Li, Shuhan Yan, Beijun Shen, Yuting Chen:
Reinforcement Learning of Code Search Sessions. APSEC 2019: 458-465
[c50]
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  - conf/compsac/PengCS19
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Yanru Peng, Yuting Chen, Beijun Shen:
An Adaptive Approach to Recommending Obfuscation Rules for Java Bytecode Obfuscators. COMPSAC (1) 2019: 97-106
[c49]
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Tianjiao Du, Junming Cao, Qinyue Wu, Wei Li, Beijun Shen, Yuting Chen:
CocoQa: Question Answering for Coding Conventions Over Knowledge Graphs. ASE 2019: 1086-1089
[c48]
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Shufan Zhou, Beijun Shen, Hao Zhong:
Lancer: Your Code Tell Me What You Need. ASE 2019: 1202-1205
[c47]
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  - conf/seke/CaoDSLWC19
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Junming Cao, Tianjiao Du, Beijun Shen, Wei Li, Qinyue Wu, Yuting Chen:
Constructing a Knowledge Base of Coding Conventions from Online Resources. SEKE 2019: 5-14
[c46]
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Duankang Fu, Shufan Zhou, Beijun Shen, Yuting Chen:
Enhancing Semantic Search of Crowdsourcing IT Services using Knowledge Graph. SEKE 2019: 307-409
[c45]
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  - conf/seke/NiSCMC19
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Zeyu Ni, Beijun Shen, Yuting Chen, Zhangyuan Meng, Junming Cao:
CrowDevBot: A Task-Oriented Conversational Bot for Software Crowdsourcing Platform (S). SEKE 2019: 410-522
[c44]
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Chunqi Chen, Yunxiang Xiong, Beijun Shen, Yuting Chen:
Generating SQL Statements from Natural Language Queries: A Multitask Learning Approach (S). SEKE 2019: 518-674
2018
[c43]
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Shufan Zhou, Hao Zhong, Beijun Shen:
SLAMPA: Recommending Code Snippets with Statistical Language Model. APSEC 2018: 79-88
2017
[c42]
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  - conf/apsec/YanSML17
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Shuhan Yan, Beijun Shen, Wenkai Mo, Ning Li:
Transfer Learning for Cross-Platform Software Crowdsourcing Recommendation. APSEC 2017: 269-278
[c41]
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Feiyue Yu, Hao Zhong, Beijun Shen:
How Do Programmers Maintain Concurrent Code? APSEC 2017: 594-599
[c40]
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  - conf/internetware/WangCSZ17
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Yingyi Wang, Yuting Chen, Beijun Shen, Hao Zhong:
CRSearcher: Searching Code Database for Repairing Bugs. Internetware 2017: 16:1-16:6
[c39]
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Zhangyuan Meng, Cheng Zhang, Beijun Shen, Yin Wei:
A GQM-based Approach for Software Process Patterns Recommendation. SEKE 2017: 370-375
[c38]
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  - conf/seke/YangMSC17
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Yu Yang, Wenkai Mo, Beijun Shen, Yuting Chen:
Cold-Start Developer Recommendation in Software Crowdsourcing: A Topic Sampling Approach. SEKE 2017: 376-381
[c37]
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Yunxiang Xiong, Zhangyuan Meng, Beijun Shen, Wei Yin:
Mining Developer Behavior Across GitHub and StackOverflow. SEKE 2017: 578-583
2016
[c36]
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  - conf/apsec/LiMS16
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Ning Li, Wenkai Mo, Beijun Shen:
Task Recommendation with Developer Social Network in Software Crowdsourcing. APSEC 2016: 9-16
[c35]
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  - conf/apsec/LiuSZZ16
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Xiaoning Liu, Beijun Shen, Hao Zhong, Jiangang Zhu:
EXPSOL: Recommending Online Threads for Exception-Related Bug Reports. APSEC 2016: 25-32
[c34]
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Shensi Tong, Qing He, Yuting Chen, Ye Yang, Beijun Shen:
Heterogeneous Cross-Company Effort Estimation through Transfer Learning. APSEC 2016: 169-176
[c33]
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  - conf/compsac/CaiZSC16
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Xuyang Cai, Jiangang Zhu, Beijun Shen, Yuting Chen:
GRETA: Graph-Based Tag Assignment for GitHub Repositories. COMPSAC 2016: 63-72
[c32]
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  - conf/compsac/QianSMC16
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Zhenzheng Qian, Beijun Shen, Wenkai Mo, Yuting Chen:
SatiIndicator: Leveraging User Reviews to Evaluate User Satisfaction of SourceForge Projects. COMPSAC 2016: 93-102
[c31]
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Qing He, Beijun Shen, Yuting Chen:
Software Defect Prediction Using Semi-Supervised Learning with Change Burst Information. COMPSAC 2016: 113-122
[c30]
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Wenkai Mo, Jiangang Zhu, Zhenzheng Qian, Beijun Shen:
SOLinker: Constructing Semantic Links between Tags and URLs on StackOverflow. COMPSAC 2016: 582-591
[c29]
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  - conf/internetware/ZhangTMZXS16
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Cheng Zhang, Shensi Tong, Wenkai Mo, Yang Zhou, Yong Xia, Beijun Shen:
ESSE: an early software size estimation method based on auto-extracted requirements features. Internetware 2016: 112-115
[c28]
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Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li:
CPDScorer: Modeling and Evaluating Developer Programming Ability across Software Communities. SEKE 2016: 87-92
[c27]
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Xiang Dong, Kai Chen, Jiangang Zhu, Beijun Shen:
Learning to Discover Subsumptions between Software Engineering Concepts in Wikipedia. SEKE 2016: 147-152
[c26]
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Kai Chen, Xiang Dong, Jiangang Zhu, Beijun Shen:
Building a Domain Knowledge Base from Wikipedia: a Semi-supervised Approach. SEKE 2016: 191-196
[c25]
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Fagui Mao, Xuyang Cai, Beijun Shen, Yong Xia, Bo Jin:
Operational pattern based code generation for management information system: An industrial case study. SNPD 2016: 425-430
2015
[c24]
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Wenkai Mo, Beijun Shen, Yuting Chen, Jiangang Zhu:
TBIL: A Tagging-Based Approach to Identity Linkage Across Software Communities. APSEC 2015: 56-63
[c23]
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Jiangang Zhu, Beijun Shen, Fanghuai Hu:
A Learning to Rank Framework for Developer Recommendation in Software Crowdsourcing. APSEC 2015: 285-292
[c22]
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  - conf/esem/FuS15
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Shizhe Fu, Beijun Shen:
Code Bad Smell Detection through Evolutionary Data Mining. ESEM 2015: 41-49
[c21]
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  - conf/internetware/QingLSX15
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He Qing, Biwen Li, Beijun Shen, Yong Xia:
Cross-Project Software Defect Prediction Using Feature-Based Transfer Learning. Internetware 2015: 74-82
[c20]
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Wenkai Mo, Beijun Shen, Yuming He, Hao Zhong:
GEMiner: Mining Social and Programming Behaviors to Identify Experts in Github. Internetware 2015: 93-101
[c19]
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Shixiong Zhao, Beijun Shen, Yuting Chen, Hao Zhong:
Towards Effective Developer Recommendation in Software Crowdsourcing. SEKE 2015: 326-329
[c18]
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Jiangang Zhu, Beijun Shen, Xuyang Cai, Haofen Wang:
Building a Large-scale Software Programming Taxonomy from Stackoverflow. SEKE 2015: 391-396
[c17]
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Jiangang Zhu, Haofen Wang, Beijun Shen:
Software.zhishi.schema: A Software Programming Taxonomy Derived from Stackoverflow. ISWC (Posters & Demos) 2015
2014
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Yu Zhang, Beijun Shen, Yuting Chen:
Mining Developer Mailing List to Predict Software Defects. APSEC (1) 2014: 383-390
[c15]
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Biwen Li, Beijun Shen, Jun Wang, Yuting Chen, Tao Zhang, Jinshuang Wang:
A Scenario-Based Approach to Predicting Software Defects Using Compressed C4.5 Model. COMPSAC 2014: 406-415
2013
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Weicheng Yang, Beijun Shen, Ben Xu:
Mining GitHub: Why Commit Stops - Exploring the Relationship between Developer's Commit Pattern and File Version Evolution. APSEC (2) 2013: 165-169
2012
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Jun Wang, Beijun Shen, Yuting Chen:
Compressed C4.5 Models for Software Defect Prediction. QSIC 2012: 13-16
2011
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Kai Zhou, Beijun Shen:
Measuring and Improving IT Service Support Processes: A Case Study. EAST 2011: 28-35
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Menghan Chen, Beijun Shen:
A semantic unification approach for M2M applications based on ontology. WiMob 2011: 265-271
2010
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Xin Huang, Beijun Shen, Delai Chen:
IT Service Support Process Meta-Modeling Based on ITIL. DSDE 2010: 127-131
[c9]
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Kan Zhou, Shiqiu Huang, Zhengwei Qi, Jian Gu, Beijun Shen:
Enhance Information Flow Tracking with Function Recognition. e-Forensics 2010: 179-184
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Beijun Shen, Xin Huang, Kai Zhou, Wenwei Tang:
Engineering Adaptive IT Service Support Processes Using Meta-modeling Technologies. ICSP 2010: 200-210
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Dehua Ju, Beijun Shen:
On Knowledge Services for Outsourcing Professional Development. SEAFOOD 2010: 79-86
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Dehua Ju, Beijun Shen:
Knowledge Services for Knowledge Workers. WSKS (1) 2010: 51-59
2009
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Xucheng Tang, Beijun Shen:
Extending Model Driven Architecture with Software Security Assessment. SSIRI 2009: 436-441
2008
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Beijun Shen, Tong Ruan:
A Case Study of Software Process Improvement in a Chinese Small Company. CSSE (2) 2008: 609-612
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Beijun Shen:
Support IT Service Management with Process Modeling and Analysis. ICSP 2008: 246-256
2007
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Beijun Shen, Dehua Ju:
On the Measurement of Agility in Software Process. ICSP 2007: 25-36
2006
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Beijun Shen, Cheng Chen:
The Design of a Flexible Software Process Language. SPW/ProSim 2006: 186-194

Informal and Other Publications

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2024
[i8]
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Nan Cui, Xiaodong Gu, Beijun Shen:
Zero-Shot Code Representation Learning via Prompt Tuning. CoRR abs/2404.08947 (2024)
2023
[i7]
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  - journals/corr/abs-2308-04041
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Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen:
InfeRE: Step-by-Step Regex Generation via Chain of Inference. CoRR abs/2308.04041 (2023)
[i6]
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  - journals/corr/abs-2308-08961
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Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen:
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. CoRR abs/2308.08961 (2023)
2022
[i5]
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  - journals/corr/abs-2201-00150
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Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Few-Shot Meta Learning. CoRR abs/2201.00150 (2022)
[i4]
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  - journals/corr/abs-2204-08360
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Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen:
Zero-Shot Program Representation Learning. CoRR abs/2204.08360 (2022)
[i3]
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  - journals/corr/abs-2206-14390
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Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code. CoRR abs/2206.14390 (2022)
2021
[i2]
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  - journals/corr/abs-2103-10675
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Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong:
Locating Faulty Methods with a Mixed RNN and Attention Model. CoRR abs/2103.10675 (2021)
[i1]
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  - journals/corr/abs-2106-02887
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Dangwei Wu, Beijun Shen, Yuting Chen:
An Empirical Study on Tensor Shape Faults in Deep Learning Systems. CoRR abs/2106.02887 (2021)

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