Beijun Shen

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 73

Top Topics

Top Venues

Publications

Nan Cui, Xiaodong Gu, Beijun Shen
Zero-Shot Code Representation Learning via Prompt Tuning. CoRR (2024)
Xuan Li, Shuai Yuan, Xiaodong Gu, Yuting Chen, Beijun Shen
Few-shot code translation via task-adapted prompt learning. J. Syst. Softw. 212 (2024)
Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen
InfeRE: Step-by-Step Regex Generation via Chain of Inference. CoRR (2023)
Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen
DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing. Neural Process. Lett. 55 (7) (2023)
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)
Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. ASE (2023)
Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen
InfeRE: Step-by-Step Regex Generation via Chain of Inference. ASE (2023)
Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. CoRR (2023)
Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu
Cross-Domain Deep Code Search with Few-Shot Meta Learning. CoRR (2022)
Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen
Answering Software Deployment Questions via Neural Machine Reading at Scale. ASE (2022)
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) (2022)
Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen
Zero-shot program representation learning. ICPC (2022)
Dangwei Wu, Beijun Shen, Yuting Chen, He Jiang, Lei Qiao
Automatically repairing tensor shape faults in deep learning programs. Inf. Softw. Technol. 151 (2022)
Tingrui Yu, Xiaodong Gu, Beijun Shen
Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training. APSEC (2022)
Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen
Zero-Shot Program Representation Learning. CoRR (2022)
Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu
Cross-Domain Deep Code Search with Meta Learning. ICSE (2022)
Shouliang Yang, Xiaodong Gu, Beijun Shen
Self-supervised learning of smart contract representations. ICPC (2022)
Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code. CoRR (2022)
Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
Diet code is healthy: simplifying programs for pre-trained models of code. ESEC/SIGSOFT FSE (2022)
Nan Cui, Chunqi Chen, Beijun Shen, Yuting Chen
Learning to Match Workers and Tasks via a Multi-View Graph Attention Network. COMPSAC (2021)
Yuetian Mao, Shuai Yuan, Nan Cui, Tianjiao Du, Beijun Shen, Yuting Chen
DeFiHap: Detecting and Fixing HiveQL Anti-Patterns. Proc. VLDB Endow. 14 (12) (2021)
Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong
Locating Faulty Methods with a Mixed RNN and Attention Model. ICPC (2021)
Hushuang Zeng, Jingxin Chen, Beijun Shen, Hao Zhong
Mining API Constraints from Library and Client to Detect API Misuses. APSEC (2021)
Diwei Chen, Beijun Shen, Yuting Chen
ConLAR: Learning to Allocate Resources to Docker Containers under Time-Varying Workloads. QRS (2021)
Dangwei Wu, Beijun Shen, Yuting Chen
An Empirical Study on Tensor Shape Faults in Deep Learning Systems. CoRR (2021)
Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong
Locating Faulty Methods with a Mixed RNN and Attention Model. CoRR (2021)
Xintian Yu, Enze Ma, Pengbo Nie, Beijun Shen, Yuting Chen, Ziyi Lin
ApproxiFuzzer: Fuzzing towards Deep Code Snippets in Java Programs. COMPSAC (2021)
Dangwei Wu, Beijun Shen, Yuting Chen, He Jiang, Lei Qiao
Tensfa: Detecting and Repairing Tensor Shape Faults in Deep Learning Systems. ISSRE (2021)
Haozhe Qin, Jiangang Zhu, Beijun Shen
Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates. WWW (2021)
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) (2021)
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) (2020)
Junming Cao, Shouliang Yang, Wenhui Jiang, Hushuang Zeng, Beijun Shen, Hao Zhong
BugPecker: Locating Faulty Methods with Deep Learning on Revision Graphs. ASE (2020)
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)
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) (2020)
Wei Li, Haozhe Qin, Shuhan Yan, Beijun Shen, Yuting Chen
Learning Code-Query Interaction for Enhancing Code Searches. ICSME (2020)
Qinyue Wu, Beijun Shen, Yuting Chen
Learning to Recommend Trigger-Action Rules for End-User Development - A Knowledge Graph Based Approach. ICSR (2020)
Zeyu Ni, Beijun Shen, Yuting Chen, Zhangyuan Meng, Junming Cao
CrowDevBot: A Task-Oriented Conversational Bot for Software Crowdsourcing Platform (S). SEKE (2019)
Tianjiao Du, Junming Cao, Qinyue Wu, Wei Li, Beijun Shen, Yuting Chen
CocoQa: Question Answering for Coding Conventions Over Knowledge Graphs. ASE (2019)
Chunqi Chen, Yunxiang Xiong, Beijun Shen, Yuting Chen
Generating SQL Statements from Natural Language Queries: A Multitask Learning Approach (S). SEKE (2019)
Duankang Fu, Shufan Zhou, Beijun Shen, Yuting Chen
Enhancing Semantic Search of Crowdsourcing IT Services using Knowledge Graph. SEKE (2019)
Junming Cao, Tianjiao Du, Beijun Shen, Wei Li, Qinyue Wu, Yuting Chen
Constructing a Knowledge Base of Coding Conventions from Online Resources. SEKE (2019)
Shufan Zhou, Beijun Shen, Hao Zhong
Lancer: Your Code Tell Me What You Need. ASE (2019)
Wei Li, Shuhan Yan, Beijun Shen, Yuting Chen
Reinforcement Learning of Code Search Sessions. APSEC (2019)
Yanru Peng, Yuting Chen, Beijun Shen
An Adaptive Approach to Recommending Obfuscation Rules for Java Bytecode Obfuscators. COMPSAC (1) (2019)
Shufan Zhou, Hao Zhong, Beijun Shen
SLAMPA: Recommending Code Snippets with Statistical Language Model. APSEC (2018)
Yunxiang Xiong, Zhangyuan Meng, Beijun Shen, Wei Yin
Mining Developer Behavior Across GitHub and StackOverflow. SEKE (2017)
Yu Yang, Wenkai Mo, Beijun Shen, Yuting Chen
Cold-Start Developer Recommendation in Software Crowdsourcing: A Topic Sampling Approach. SEKE (2017)
Shuhan Yan, Beijun Shen, Wenkai Mo, Ning Li
Transfer Learning for Cross-Platform Software Crowdsourcing Recommendation. APSEC (2017)
Feiyue Yu, Hao Zhong, Beijun Shen
How Do Programmers Maintain Concurrent Code? APSEC (2017)
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) (2017)
Zhangyuan Meng, Cheng Zhang, Beijun Shen, Yin Wei
A GQM-based Approach for Software Process Patterns Recommendation. SEKE (2017)
Yingyi Wang, Yuting Chen, Beijun Shen, Hao Zhong
CRSearcher: Searching Code Database for Repairing Bugs. Internetware (2017)
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)
Xiang Dong, Kai Chen, Jiangang Zhu, Beijun Shen
Learning to Discover Subsumptions between Software Engineering Concepts in Wikipedia. SEKE (2016)
Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li
CPDScorer: Modeling and Evaluating Developer Programming Ability across Software Communities. SEKE (2016)
Xuyang Cai, Jiangang Zhu, Beijun Shen, Yuting Chen
GRETA: Graph-Based Tag Assignment for GitHub Repositories. COMPSAC (2016)
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) (2016)
Kai Chen, Xiang Dong, Jiangang Zhu, Beijun Shen
Building a Domain Knowledge Base from Wikipedia: a Semi-supervised Approach. SEKE (2016)
Ning Li, Wenkai Mo, Beijun Shen
Task Recommendation with Developer Social Network in Software Crowdsourcing. APSEC (2016)
Xiaoning Liu, Beijun Shen, Hao Zhong, Jiangang Zhu
EXPSOL: Recommending Online Threads for Exception-Related Bug Reports. APSEC (2016)
Wenkai Mo, Jiangang Zhu, Zhenzheng Qian, Beijun Shen
SOLinker: Constructing Semantic Links between Tags and URLs on StackOverflow. COMPSAC (2016)
Zhenzheng Qian, Beijun Shen, Wenkai Mo, Yuting Chen
SatiIndicator: Leveraging User Reviews to Evaluate User Satisfaction of SourceForge Projects. COMPSAC (2016)
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)
Shensi Tong, Qing He, Yuting Chen, Ye Yang, Beijun Shen
Heterogeneous Cross-Company Effort Estimation through Transfer Learning. APSEC (2016)
Qing He, Beijun Shen, Yuting Chen
Software Defect Prediction Using Semi-Supervised Learning with Change Burst Information. COMPSAC (2016)
Shixiong Zhao, Beijun Shen, Yuting Chen, Hao Zhong
Towards Effective Developer Recommendation in Software Crowdsourcing. SEKE (2015)
Jiangang Zhu, Beijun Shen, Xuyang Cai, Haofen Wang
Building a Large-scale Software Programming Taxonomy from Stackoverflow. SEKE (2015)
Shizhe Fu, Beijun Shen
Code Bad Smell Detection through Evolutionary Data Mining. ESEM (2015)
He Qing, Biwen Li, Beijun Shen, Yong Xia
Cross-Project Software Defect Prediction Using Feature-Based Transfer Learning. Internetware (2015)
Wenkai Mo, Beijun Shen, Yuming He, Hao Zhong
GEMiner: Mining Social and Programming Behaviors to Identify Experts in Github. Internetware (2015)
Wenkai Mo, Beijun Shen, Yuting Chen, Jiangang Zhu
TBIL: A Tagging-Based Approach to Identity Linkage Across Software Communities. APSEC (2015)
Jiangang Zhu, Haofen Wang, Beijun Shen
Software.zhishi.schema: A Software Programming Taxonomy Derived from Stackoverflow. ISWC (Posters & Demos) (2015)
Jiangang Zhu, Beijun Shen, Fanghuai Hu
A Learning to Rank Framework for Developer Recommendation in Software Crowdsourcing. APSEC (2015)
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)
Yu Zhang, Beijun Shen, Yuting Chen
Mining Developer Mailing List to Predict Software Defects. APSEC (1) (2014)
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)
Menghan Chen, Beijun Shen
Towards Agile Application Integration with M2M Platforms. KSII Trans. Internet Inf. Syst. 6 (1) (2012)
Jun Wang, Beijun Shen, Yuting Chen
Compressed C4.5 Models for Software Defect Prediction. QSIC (2012)
Kai Zhou, Beijun Shen
Measuring and Improving IT Service Support Processes: A Case Study. EAST (2011)
Menghan Chen, Beijun Shen
A semantic unification approach for M2M applications based on ontology. WiMob (2011)
Xin Huang, Beijun Shen, Delai Chen
IT Service Support Process Meta-Modeling Based on ITIL. DSDE (2010)
Dehua Ju, Beijun Shen
Knowledge Services for Knowledge Workers. WSKS (1) (2010)
Kan Zhou, Shiqiu Huang, Zhengwei Qi, Jian Gu, Beijun Shen
Enhance Information Flow Tracking with Function Recognition. e-Forensics (2010)
Beijun Shen, Xin Huang, Kai Zhou, Wenwei Tang
Engineering Adaptive IT Service Support Processes Using Meta-modeling Technologies. ICSP (2010)
Dehua Ju, Beijun Shen
On Knowledge Services for Outsourcing Professional Development. SEAFOOD (2010)
Xucheng Tang, Beijun Shen
Extending Model Driven Architecture with Software Security Assessment. SSIRI (2009)
Beijun Shen, Tong Ruan
A Case Study of Software Process Improvement in a Chinese Small Company. CSSE (2) (2008)
Beijun Shen
Support IT Service Management with Process Modeling and Analysis. ICSP (2008)
Beijun Shen, Dehua Ju
On the Measurement of Agility in Software Process. ICSP (2007)
Beijun Shen, Cheng Chen
The Design of a Flexible Software Process Language. SPW/ProSim (2006)