LLM for Software Engineering Lab (LLMSE)

This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong.
====== Publications ======
==== 2026 ====
  * Zhe Yin, Xiaodong Gu, and Beijun Shen, Neuron-Guided Interpretation of Code LLMs: Where, Why, and How? FSE 2026, Montreal, Canada, 5 - 9 July 2026
  * Shangbo Yun, Jianghong Huang, Xiaodong Gu, and Beijun Shen, Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models, FSE 2026, Montreal, Canada, 5 - 9 July 2026
  * Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, and Xiaodong Gu, In Line with Context: Repository-Level Code Generation via Context Inlining, FSE 2026, Montreal, Canada, 5 - 9 July 2026
  * Chaofan Wang, Tingrui Yu, Beijun Shen, Jie Wang, Dong Chen, Wenrui Zhang, Yuling Shi, Chen Xie, and Xiaodong Gu. EvoC2Rust: A Skeleton-guided Framework for Project-Level C-to-Rust Translation. ICSE 2026 SEIP. Rio de Janeiro, Brazil, April 12-18, 2026
  * Xuan Li, Zhe Yin, Xiaodong Gu, and Beijun Shen. Anti-Adversarial Learning: Desensitizing Prompts for Large Language Models. AAAI 2026. Singapore, Jan 20 - 27, 2026
==== 2025 ====
  * Guangzhan Wang, Diwei Chen, Xiaodong Gu, Yuting Chen, Beijun Shen. Synthetic Malware at Scale: Malicious Code Generation with Code Transplanting. IEEE Transactions on Software Engineering (TSE), Nov. 2025
  * Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu. LongCodeZip: Compress Long Context for Code Language Models, ASE 2025, Seoul, South Korea, November 16-20, 2025
  * Guangzhan Wang, Hongyu Zhang, Beijun Shen, Xiaodong Gu. Transplant Then Regenerate: A New Paradigm for Text Data Augmentation, EMNLP 2025, Suzhou, China, November 5–9, 2025
  * Chen Xie, Mingsheng Jiao, Xiaodong Gu, Beijun Shen. Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs, COMPSAC, Toronto, Canada, 8-11 July, 2025
  * Chaofan Wang, Guanjie Qiu, Xiaodong Gu, Beijun Shen. ApiRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs, COMPSAC, Toronto, Canada, 8-11 July, 2025

==== 2024 ====
  * Zeyu Jiang, Xiaodong Gu, Beijun Shen. Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning, Journal of Systems & Software (JSS), October 2024
  * Qingxiao Tao, Tingrui Yu, Xiaodong Gu, Beijun Shen. Unraveling the Potential of Large Language Models in Code Translation: How Far Are We? THE 31st Asia-Pacific Software Engineering Conference (APSEC), 3-6 December, 2024
  * Shangbo Yun, Shuhuai Lin, Xiaodong Gu, Beijun Shen. Project-specific Code Summarization with In-Context Learning, Journal of Systems & Software (JSS), Volume 216, July 2024, 112149
  * Xuan Li, Shuai Yuan, Xiaodong Gu, Yuting Chen, Beijun Shen. Few-Shot Code Translation via Task-adapted Prompt Learning, Journal of Systems & Software (JSS), Volume 212, June 2024, 112002

==== 2023 ====
  * Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen. On the Evaluation of Neural Code Translation: Taxonomy and Benchmark, International Conference on Automated Software Engineering (ASE), Kirchberg, Luxembourg, 11-15 Sep, 2023
  * Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen. InfeRE: Step-by-Step Regex Generation via Chain of Inference, International Conference on Automated Software Engineering (ASE), Kirchberg, Luxembourg, 11-15 Sep, 2023
  * Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu, Self-Supervised Query Reformulation for Code Search, 2023 ESEC/FSE, San Francisco, California, United States, 3-9 December 2023
  * X. Miao, Z. Lin, S. Wang, L. Yu, S. Li, Z. Wang, P. Nie, Y. Chen, B. Shen, H. Jiang. Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX, The 45th IEEE/ACM International Conference on Software Engineering (ICSE), Melbourne, Australia, 14-20 May, 2023. ACM SIGSOFT Distinguished Paper.
  * Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen. DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing, Neural Processing Letters, Springer, March 2023
==== 2022 ====
  * Tingrui Yu, Xiaodong Gu, Beijun Shen, Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training, THE 29th Asia-Pacific Software Engineering Conference (APSEC), Virtual, Dec. 6-9, 2022
  * Dangwei Wu, Beijun Shen, Yuting Chen, Jiang He, Lei Qiao, Automatically Repairing Tensor Shape Faults in Deep Learning Programs, Information and Software Technology (IST), Volume 151, November 2022, 107027
  * Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu, Diet Code is Healthy: Simplifying Programs for Pre-trained Code Models, ACM SIGSOFT Symposium on the Foundation of Software Engineering/European Software Engineering Conference (ESEC/FSE), Singapore, November 14-18, 2022
  * Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen. Answering Software Deployment Questions via Neural Machine Reading at Scale, The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), Tool demo, Ann Arbor, Michigan, USA, October 10-14, 2022
  * Shuai Yuan, Haozhe Qin, Xiaodong Gu, Beijun Shen. Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 32(7), 2022
  * Nan Cui, , Beijun Shen, Zero-Shot Program Representation Learning, The 30th IEEE/ACM International Conference on Program Comprehension (ICPC), Virtual, May 16-17, 2022
  * Shouliang Yang, Xiaodong Gu, Beijun Shen, Self-Supervised Learning of Smart Contract Representations, The 30th IEEE/ACM International Conference on Program Comprehension (ICPC), Virtual, May 16-17, 2022
  * Yitian Chai, Xiaodong Gu, Beijun Shen, Cross-Domain Deep Code Search with Few-Shot Learning, The 44th IEEE/ACM International Conference on Software Engineering (ICSE), Pittsburgh, Pennsylvania, USA, May 21-29, 2022
==== 2021 ====
  * Yuetian Mao, Nan Cui, Shuai Yuan, Tianjiao Du, Beijun Shen, Yuting Chen. DeFiHap: Detecting and Fixing HiveQL Anti-Patterns, the 47th VLDB conference, Demonstration Track, Copenhagen, Denmark - August 16-20, 2021
  * Nan Cui, Chunqi Chen, Beijun Shen, Yuting Chen. Learning to Match Workers and Tasks via a Multi-View Graph Attention Network, The 45th IEEE Computer Society Computers, Software, and Applications Conference (COMPSAC), 12-16 July, 2021 
  * Shouliang Yang, Junming Cao, Wenhui Jiang, Hushuang Zeng, Beijun Shen, and Hao Zhong. Locating Faulty Methods with a Mixed RNN and Attention Model, The 29th IEEE/ACM International Conference on Program Comprehension (ICPC), 18-20 May, 2021
  * Haozhe Qin, Jiangang Zhu, Beijun Shen. Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates, 30th The Web Conference (WWW), Ljubljana, Slovenia, 19 -23 April, 2021 
  * Yiyang Fu, Beijun Shen, Yuting Chen, Linpeng Huang, TDMatcher: A topic-based approach to task-developer matching with predictive intelligence for recommendation, Applied Soft Computing, Oct. 2021
  * Dangwei Wu, Beijun Shen, Yuting Chen, Tensfa: Detecting and Repairing Tensor Shape Faults in Deep Learning Systems, The 32nd International Symposium on Software Reliability Engineering (ISSRE), Oct. 25 - 28, 2021
  * Mingxin Zhao, Qinyue Wu, Enze Ma, Beijun Shen, Yuting Chen, Context-Aware Conversational Recommendation of Trigger-Action Rules in IOT Programming, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), October 2021
  * Hushuang Zeng, Jingxin Chen, Beijun Shen, Hao Zhong. Mining API Constraints from Library and Client to Detect API Misuses, THE 28th Asia-Pacific Software Engineering Conference (APSEC), 6th - 9th December, 2021
  * Diwei Chen, Beijun Shen, Yuting Chen, ConLAR: Learning to Allocate Resources to Docker Containers under Time-Varying Workloads, The 21st IEEE International Conference on Software Quality, Reliability, and Security (QRS), 6th-10th December, 2021

==== 2020 ====
  * Qinyue Wu, Beijun Shen, Yuting Chen. Learning to Recommend Trigger-Action Rules for End-User Development: A Knowledge Graph Based Approach, The 19th International Conference on Software and Systems Reuse (ICSR), LNCS, Hammamet, Tunisia, 2-4 Dec. 2020
  * Wei Li, Haozhe Qin, Shuhan Yan, Beijun Shen, Yuting Chen. Learning Code-Query Interaction for Enhancing Code Searches, The 36th IEEE International Conference on Software Maintenance and Evolution (ICSME), Adelaide, Australia, 27 Sep.- 3 Oct. 2020.
  * Junming Cao, Shouliang Yang, Wenhui Jiang, Hushuang Zeng, Beijun Shen, and Hao Zhong. BugPecker: Locating faulty methods with deep learning on revision graphs, International Conference on Automated Software Engineering (ASE), new idea, Melbourne, Australia, 21-25 Sep. 2020.
  * Qinyue Wu, Duankang Fu, Beijun Shen, Yuting Chen. Semantic Service Search in IT Crowdsourcing Platform: A Knowledge Graph Based Approach. International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 30(6), 2020:765-783
  * 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. 27th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Western University in London, Ontario, Canada, February 18-21, 2020.
  * Shuhan Yan, Tianjiao Du, Beijun Shen, YuTing Chen. Feedback2Code: A Deep Learning Approach to Identifying User-Feedback-Related Source Code Files. International Journal of Software Engineering and Knowledge Engineering, 2020.
==== 2019 ====
  * Wei Li, Shuhan Yan, Beijun Shen and Yuting Chen. Reinforcement Learning of Code Search Sessions, The 26th Asia-Pacific Software Engineering Conference (APSEC), 2-5 December 2019,Putrajaya, Malaysia
  * Tianjiao Du, Junming Cao, Qinyue Wu, Wei Li, Beijun Shen, Yuting Chen, CocoQa: Question Answering for Coding Conventions over Knowledge Graphs, The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), Tool Demo track, San Diego, California, United States, 11 - 15 November 2019. <color blue>**Published**</color>.
  * Shufan Zhou, Beijun Shen, Hao Zhong, Lancer: Your Code Tell Me What You Need, The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), Tool Demo track, San Diego, California, United States, 11 - 15 November 2019. <color blue>**Published**</color>.
  * Junming Cao, Tianjiao Du, Beijun Shen, Wei Li, Qinyue Wu, Yuting Chen. Constructing a Knowledge Base of Coding Conventions from Online Resources. In //The 31th International Conference on Software Engineering and Knowledge Engineering// (SEKE'19). <color blue>**Published**</color>. [{{:pub:jmc-seke19.pdf|PDF}}]
  * Duankang Fu, Zhou Shufan, Beijun Shen, Yuting Chen. Enhancing Semantic Search of Crowdsourcing IT Services using Knowledge Graph. In //The 31th International Conference on Software Engineering and Knowledge Engineering// (SEKE'19). <color blue>**Published**</color>. [{{:pub:dkf-seke19.pdf|PDF}}]
  * Chunqi Chen, Yunxiang Xiong, Beijun Shen, Yuting Chen.  Generating SQL Statements from Natural Language Queries: A Multitask Learning Approach. In //The 31th International Conference on Software Engineering and Knowledge Engineering// (SEKE'19). <color blue>**Published**</color>. [{{:pub:cqc-seke19.pdf|PDF}}]
  * Zeyu Ni, Zhangyuan Meng, Junming Cao, Beijun Shen, Yuting Chen. CrowDevBot: A Task-Oriented Conversational Bot for Software Crowdsourcing Platform. In //The 31th International Conference on Software Engineering and Knowledge Engineering// (SEKE'19). <color blue>**Published**</color>. [{{:pub:zyn-seke19.pdf|PDF}}]
  * Yanru Peng, Yuting Chen and Beijun Shen. An Adaptive Approach to Recommending Obfuscation Rules for Java Bytecode Obfuscators. In //The 43th IEEE Computer Society International Conference on Computers, Software & Applications// (COMPSAC'19). <color blue>**Published**</color>. [{{:pub:yrp-compsac19.pdf|PDF}}]

==== 2018 ====

  * Runtao Qiao, Shuhan Yan and Beijun Shen. A Reinforcement Learning Solution to Cold-Start Problem in Software Crowdsourcing Recommendations. In //International Conference on Progress in Informatics and Computing// (PIC'18). <color blue>**Published**</color>. [{{:pub:rtq-pic18.pdf|PDF}}](<color red>**Best Paper Award**8-)</color>)
  * Shufan Zhou, Hao Zhong and Beijun Shen. SLAMPA: Recommending Code Snippets with Statistical Language Model. In //The 25th Asia-Pacific Software Engineering Conference// (APSEC'18). <color blue>**Published**</color>. [{{:pub:sfz-apsec18.pdf|PDF}}]

==== 2017 ====

  * Yunxiang Xiong, Zhangyuan Meng, Beijun Shen and Wei Yin. Developer Identity Linkage and Behavior Mining across GitHub and StackOverflow. In //International Journal of Software Engineering and Knowledge Engineering// (IJSEKE'17). <color blue>**Published**</color>. [{{:pub:yxx-ijseke17.pdf|PDF}}]
  * Shuhan Yan, Beijun Shen, Wenkai Mo and Ning Li. Transfer learning for cross-platform software crowdsourcing recommendation. In //The 24th Asia-Pacific Software Engineering Conference// (APSEC'17). <color blue>**Published**</color>. [{{:pub:shy-apsec17.pdf|PDF}}]
  * Feiyue Yu, Hao Zhong and Beijun Shen. How do Programmers Maintain Concurrent Code. In //The 24th Asia-Pacific Software Engineering Conference// (APSEC'17). <color blue>**Published**</color>. [{{:pub:fyy-apsec17.pdf|PDF}}]
  * Yingyi Wang, Yuting Chen, Beijun Shen, Hao Zhong. CRSearcher:Searching Code Database for Repairing Bugs. In //9th Asia-Pacific Symposium on Internetware//. <color blue>**Published**</color>. [{{:pub:yyw-interware17.pdf|PDF}}]
  * Wei Yin, Wansheng Miao, Jiang Tuo, Xin Zhang, Min Zhang, Beijun Shen. Linked Data Enabled Collaboration in Large-Scale Avionics Software Development. In //The 36th IEEE/AIAA Digital Avionics Systems Conference//(DASC'17). <color blue>**Published**</color>. [{{:pub:wy-dasc17.pdf|PDF}}]
  * Yunxiang Xiong, Zhangyuan Meng, Beijun Shen and Wei Yin. Mining Developer Behavior Across Github and StackOverflow. In //The 29h International Conference on Software Engineering and Knowledge Engineering//(SEKE'17). <color blue>**Published**</color>. [{{:pub:yxx-seke17.pdf|PDF}}]
  * Yu Yang, Wenkai Mo, Beijun Shen and Yuting Chen. Cold-Start Developer Recommendation in Software Crowdsourcing: A Topic Sampling Approach. In //The 29h International Conference on Software Engineering and Knowledge Engineering//(SEKE'17). <color blue>**Published**</color>. [{{:pub:yy-seke17.pdf|PDF}}]
  * Zhangyuan Meng, Cheng Zhang, Beijun Shen and Yin Wei. A GQM-based Approach for Software Process Patterns Recommendation. In //The 29h International Conference on Software Engineering and Knowledge Engineering//(SEKE'17). <color blue>**Published**</color>. [{{:pub:zym-seke17.pdf|PDF}}]

==== 2016 ====

  * Xiaoning Liu, Beijun Shen, Hao Zhong, Jiangang Zhu. EXPSOL: Recommending Online Threads for Exception-related Bug Reports. In //Proceedings of the 23rd Asia-Pacific Software Engineering Conference// (APSEC'16). <color blue>**Published**</color>. [{{:pub:lxn-apsec16.pdf|PDF}}]
  * Ning Li, Wenkai Mo, Beijun Shen. Task Recommendation with Developer Social Network in Software Crowdsourcing. In //Proceedings of the 23rd Asia-Pacific Software Engineering Conference// (APSEC'16). <color blue>**Published**</color>. [{{:pub:ln-apsec16.pdf|PDF}}]
  * Shensi Tong, Qing He, Yuting Chen, Ye Yang, Beijun Shen. Heterogeneous Cross-Company Effort Estimation through Transfer Learning. In //Proceedings of the 23rd Asia-Pacific Software Engineering Conference// (APSEC'16). <color blue>**Published**</color>. [{{:pub:tss-apsec16.pdf|PDF}}]
  * 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. In //Proceedings of the 23rd Asia-Pacific Software Engineering Conference// (APSEC'16). <color blue>**Published**</color>. [{{:pub:zc-internetware16.pdf|PDF}}]
  * Fagui Mao, Xuyang Cai, Beijun Shen, Yong Xia, Bo Jin. Operational Pattern Based Code Generation For Management Information System: An Industrial Case Study. In //Proceedings of 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing// (SNPD'16). <color blue>**Published**</color>. [{{:pub:operational_pattern_based_code_generation_for_management_information_system_an_industrial_case_study.pdf|PDF}}]
  * Yucheng Zhang, Chengcheng Wan, Beijun Shen, Bo Jin. An Empirical Study on Recovering Requirement-to-Code Links. In //Proceedings of 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing// (SNPD'16). <color blue>**Published**</color>. [{{:pub:an_empirical_study_on_recovering_requirement-to-code_links.pdf|PDF}}]
  * Shensi Tong, Hanlong Zhang, Beijun Shen, Hao Zhong, Yongjian Wang and Bo Jin. Detecting Gambling Sites From Post Behaviors. In //Proceedings of 11th IEEE Conference on Industrial Electronics and Applications// (ICIEA' 2016). <color blue>**Published**</color>. [{{:pub:detecting_gambling_sites_from_post_behaviors.pdf|PDF}}]
  * Xuyang Cai, Jiangang Zhu, Beijun Shen, Yuting Chen. GRETA: Graph-Based Tag Assignment for GitHub Repositories. In //Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications// (COMPSAC'16). <color blue>**Published**</color>. [{{:pub:greta_graph-based_tag_assignment_for_github_repositories.pdf|PDF}}]
  * Qing He, Beijun Shen, Yuting Chen. Defect Prediction Using Semi-supervised Learning with Change Burst Information. In //Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications// (COMPSAC'16). <color blue>**Published**</color>. [{{:pub:semi-supervised_defect_prediction.pdf|PDF}}]
  * Wenkai Mo, Jiangang Zhu, Zhenzheng Qian, Beijun Shen. SOLinker: Constructing Semantic Links between Tags and URLs on StackOverflow. In //Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications// (COMPSAC'16). <color blue>**Published**</color>. [{{:pub:compsac16.pdf|PDF}}]
  * Zhenzheng Qian, Beijun Shen, Wenkai Mo, Yuting Chen. SatisIndicator: Leveraging User Reviews to Evaluate User Satisfaction of SourceForge Projects. In //Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications// (COMPSAC'16). <color blue>**Published**</color>. [{{:pub:compsac16-qian.pdf|PDF}}]
  * Xiang Dong, Kai Chen, Jiangang Zhu, Beijun Shen. Learning to Discover Subsumptions between Software Engineering Concepts in Wikipedia. In //Proceedings of the 28th International Conference on Software Engineering & Knowledge Engineering// (SEKE'16). <color blue>**Published**</color>. [{{:pub:seke16-dong.pdf|PDF}}]
  * Kai Chen, Xiang Dong, Jiangang Zhu, Beijun Shen. Building a Domain Knowledge Base from Wikipedia: a Semi-supervised Approach. In //Proceedings of the 28th International Conference on Software Engineering & Knowledge Engineering// (SEKE'16). <color blue>**Published**</color>. [{{:pub:seke16-chen.pdf|PDF}}]
  * Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li. CPDScorer: Modeling and Evaluating Developer Programming Ability across Software Communities. In //Proceedings of the 28th International Conference on Software Engineering & Knowledge Engineering// (SEKE'16). <color blue>**Published**</color>. [{{:pub:seke16-huang.pdf|PDF}}]
==== 2015 ====
  * Wenkai Mo, Beijun Shen, Yuting Chen, Jiangang Zhu. TBIL: A Tagging-Based Approach to Identity Linkage Across Software Communities. In //Proceedings of the 22nd Asia-Pacific Software Engineering Conference// (APSEC'15). pp.56-63. [{{:pub:tbil.pdf|PDF}}] (<color red>**Best Paper Award**8-)</color>)
  * Jiangang Zhu, Beijun Shen, Fanghuai Hu. A Learning to Rank Framework for Developer Recommendation in Software Crowdsourcing. In //Proceedings of the 22nd Asia-Pacific Software Engineering Conference// (APSEC'15). pp.285-292.
  * Wenkai Mo, Beijun Shen, Yuming He, Hao Zhong. GEMiner: Mining Social and Programming Behaviors to Identify Experts in Github.  In //Proceedings of the 7th Asia-Pacific Symposium on Internetware// (Internetware'15). [{{:pub:internetware.pdf|PDF}}]
  * Qing He, Biwen Li, Beijun Shen, Yong Xia. Cross-Project Software Defect Prediction Using Feature-Based Transfer Learning. In //Proceedings of the 7th Asia-Pacific Symposium on Internetware// (Internetware'15). [{{:pub:cross-project_defect_prediction-rev.pdf|PDF}}]
  * Jiangang Zhu, Haofen Wang, Beijun Shen. Software.zhishi.schema: A Software Programming Taxonomy Derived from Stackoverflow. In //Proceedings of the 14th International Semantic Web Conference // (ISWC'15). 
  * Shizhe Fu, Beijun Shen. Code Bad Smell Detection through Evolutionary Data Mining. In //Proceedings of the 9th International Symposium on Empirical Software Engineering and Measurement // (ESEM'15). pp.41-49. [{{:pub:esem15.pdf|PDF}}]
  * Shixiong Zhao, Beijun Shen, Yuting Chen, Hao Zhong. Towards Effective Developer Recommendation in Software Crowdsourcing. In //Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering// (SEKE'15). pp.326-329. [{{:pub:zhao-seke15.pdf|PDF}}]
  * Jiangang Zhu, Beijun Shen, Xuyang Cai, Haofen Wang. Building a Large-scale Software Programming Taxonomy from Stackoverflow. In //Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering// (SEKE'15). pp.391-396.
  * 张瀚珑, 沈备军, 王永剑. 基于模板检测的违法网站识别. //第十一届中国信息和通信安全学术会议//，(<color red>**获优秀论文**8-)</color>)，南京，2014.10，《南京理工大学学报》（自然科学版）
==== 2014 ====
  * Yu Zhang, Beijun Shen, Yuting Chen. Mining Developer Mailing List to Predict Software Defects. In //Proceedings of the 21st Asia-Pacific Software Engineering Conference// (APSEC'14). pp.383-390. [{{:pub:zhang-apsec14.pdf|PDF}}]
  * 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. In //Proceedings of the 38th Annual Computer Software and Applications Conference// (COMPSAC'14). pp.406-415. [{{:pub:li-compsac14.pdf|PDF}}]
  * Dai Meixi, Shen Beijun, Zhang Tao, Zhao Min, Impact of Consecutive Changes on Later File Versions, //3rd International Workshop on Evidential Assessment of Software Technologies// (EAST'14), PP. 17-24, Nanjing, China, May 26, 2014
  * Shixiong Zhao, Yuchen Zhang, Beijun Shen, Xin Shen, Rongbin Chen, Mass Data Processing and Personalized Services in Shanghai E-commerce Credit Evaluation Platform, //2014 International Conference on Progress in Informatics and Computing// (PIC'14), PP.481-485, Shanghai, May 16-18, 2014
  * Ying Jia, Beijun Shen, Tianyu Yu, Jiangang Zhu. An end-user oriented visual programming language. //The 3rd International Conference on Computer Applications and Industrial Electronics//, PP. 2141-2144, January 11-12, 2014
 
==== 2013 ====
  * Weicheng Yang, Beijun Shen, Ben Xu. Mining GitHub: Why Commit Stops - Exploring the Relationship between Developer's Commit Pattern and File Version Evolution. In //Proceedings of the 20th Asia-Pacific Software Engineering Conference// (APSEC'13). pp.165-169. [{{:pub:mining_github_why_commit_stops.pdf|PDF}}]
  * Tianyu Yu，Beijun Shen. An End-User Domain-Specific Language for University Information Systems，//The 1st International Conference on Information System and Electronic Commerce//, Harbin, China, Dec 28-29, 2013
  * Ying Jia, Beijun Shen, Tianyu Yu, Jiangang Zhu. An end-user oriented visual programming language. //The 3rd International Conference on Computer Applications and Industrial Electronics//, December. 2013
  * Beijun Shen, Shixiong Zhao, Xin Shen, Rongbin Chen, Toward a Trust Evaluation Model for Shanghai E-Commerce Public Service Platform, //2013 IET/IEEE International Conference on Smart and Sustainable City//, August 19~20, 2013, Shanghai, China
  * Pinghai Qiu, Kai Lu, Dehua Ju, Beijun Shen, Internet of Knowledge: as an Infrastructure for Smart and Sustainable Marine Economy, //2013 IET/IEEE International Conference on Smart and Sustainable City//, August 19~20, 2013, Shanghai, China
  * Jing Li, Beijun Shen, Yu Zhang, Process Component Composition for Dynamic Process Adaptation and Lazy Binding, //International Conference on Intelligent Systems Design and Engineering Applications// (ISDEA), Jan. 16~18, 2013, HongKong, China
  * Fei Lu, Beijun Shen, Hanlong Zhang, Jiuchuan Lin, A Method of SNS Topic Models Extraction Based on Self-Adaptively LDA Modeling, //International Conference on Intelligent Systems Design and Engineering Applications// (ISDEA), Jan. 16~18, 2013, HongKong, China
  *Ben Xu, Beijun Shen, Weicheng Yang, Mining of Contribution Characteristics in Open Source Software Based on Visual Analysis, //International Conference on Intelligent Systems Design and Engineering Applications// (ISDEA), Jan. 16~18, 2013, HongKong, China 
==== 2012 ====
  * Jun Wang, Beijun Shen, Yuting Chen. Compressed C4.5 Models for Software Defect Prediction. In //Proceedings of the 12th International Conference on Quality Software// (QSIC'12). pp.13-16. [{{:pub:qsic12.pdf|PDF}}]
  * Beijun Shen, Dehua Ju. Knowledge Cloud as a Novel Environment for Engineering Education, //2012 International Conference on Engineering Education// (CEE2012), 26-28 October, 2012, Beijing China
  * Dehua Ju, Beijun Shen. Internet of Knowledge Plus Knowledge Cloud – A Future Education Ecosystem, //International Conference on Future Computer Supported Education// (FCSE), Korea, August 22-23, 2012
  * Dehua Ju, Beijun Shen. Internet of Knowledge - The Soft Infrastructure for Smart Cities, //6th Shanghai International Library Forum//, PP. 147-154, July 17-19, 2012, Shanghai, China, Shanghai Scientific and Technological Literature Publishing House
  * Dehua Ju, Beijun Shen. Towards Internet of Knowledge, //8th China - Europe International Symposium on Software Engineering Education// (CEISEE2012), PP. 41-44, 28-29 May 2012, Shanghai, China
  * Hui Shi, Beijun Shen, Research on Applications of SaaS Technology, //International Conference on Computer and Management// (CAMAN'12), PP.109-112, March 9-11, Wuhan China
  * Yi Xu, Beijun Shen, A Security Access Control Model based on Roles and Tokens, //International Conference on Computer and Management// (CAMAN 2012), PP.1205-1208, March 9-11, Wuhan China
  * Menghan Chen, Beijun Shen, Towards agile application integration with M2M platforms, //KSII Transactions on Internet and Information Systems//, v6, n1, pp.84-97, 2012
  * 居德华，沈备军. 知联网和知识云服务，//第三届中国云计算学术大会，华中科技大学学报(自然科学版)//，浙江丽水，9/15~17，2012

===== Journal Publications =====
==== ====
  * 朱泽策，童燊嗣，沈备军，戚正伟，张涛，赵敏，面向Android安全性的Smali混淆代码分析，//计算机工程与设计//
  * 沈备军，解读软件工程知识体系SWEBOK V3，PP.5-6,//计算机教育//，2014(7)
  *杨博，唐祝寿，朱浩谨，沈备军，林九川，基于静态数据流分析的Android应用权限检测方法，//计算机科学//，2013年40卷 第1期.
  * 高云璐，沈备军，孔华锋，基于SLA与用户评价的云计算信任模型，//计算机工程//. 2012, 38(7)
  * 张腾，沈备军，杨涛，使用DEB和XML签名的电子证据管理方法，//计算机工程//. 2012, 38(12)
  * 居德华，沈备军. 支持海洋经济发展的知联网框架，//浙江省公共政策内参//，第12119期，2012.8


====== ======
For more publications, please click **[[http://202.120.40.28:1405/~bjshen/index.html|here]]**.