Beijun Shen - RankMe

116 papers A* 12A 7B 11C 26Journal 39Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Anti-adversarial Learning: Desensitizing Prompts for Large Language Model. AAAI Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen
2026	J	`jnl`	CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs. CoRR Qingxiao Tao, Xiaodong Gu, Hao Zhong, Beijun Shen
2026	J	`jnl`	GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts. CoRR Wenhao Zeng, Xuteng Zhang, Yuling Shi, Chao Hu, Yuting Chen, Beijun Shen, Xiaodong Gu
2026	J	`jnl`	In Line with Context: Repository-Level Code Generation via Context Inlining. CoRR Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, Xiaodong Gu
2026	J	`jnl`	Rethinking Code Complexity Through the Lens of Large Language Models. CoRR Chen Xie, Yuling Shi, Xiaodong Gu, Beijun Shen
2026	J	`jnl`	Synthetic Malware at Scale: Malicious Code Generation With Code Transplanting. IEEE Trans. Software Eng. Guangzhan Wang, Diwei Chen, Xiaodong Gu, Yuting Chen, Beijun Shen
2026	J	`jnl`	Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation. CoRR Pengyu Chang, Yixiong Fang, Silin Chen, Yuling Shi, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs. CoRR Chaofan Wang, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	Anti-adversarial Learning: Desensitizing Prompts for Large Language Models. CoRR Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen
2025	B	`conf`	ApiRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs. COMPSAC Chaofan Wang, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models. CoRR Shangbo Yun, Xiaodong Gu, Jianghong Huang, Beijun Shen
2025	J	`jnl`	EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation. CoRR Chaofan Wang, Tingrui Yu, Jie Wang, Dong Chen, Wenrui Zhang, Yuling Shi, Xiaodong Gu, Beijun Shen
2025	B	`conf`	Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs. COMPSAC Chen Xie, Mingsheng Jiao, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs. CoRR Chen Xie, Mingsheng Jiao, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	Just-in-time software defect prediction via bi-modal change representation learning. J. Syst. Softw. Yuze Jiang, Beijun Shen, Xiaodong Gu
2025	A*	`conf`	LongCodeZip: Compress Long Context for Code Language Models. ASE Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	LongCodeZip: Compress Long Context for Code Language Models. CoRR Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	Neuron-Guided Interpretation of Code LLMs: Where, Why, and How? CoRR Zhe Yin, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation. CoRR Yongpan Wang, Xin Xu, Xiaojie Zhu, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	SWE-QA: Can Language Models Answer Repository-level Code Questions? CoRR Weihan Peng, Yuling Shi, Yuhang Wang, Xinyun Zhang, Beijun Shen, Xiaodong Gu
2025	A*	`conf`	Transplant Then Regenerate: A New Paradigm for Text Data Augmentation. EMNLP Guangzhan Wang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	Transplant Then Regenerate: A New Paradigm for Text Data Augmentation. CoRR Guangzhan Wang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2024	J	`jnl`	Few-shot code translation via task-adapted prompt learning. J. Syst. Softw. Xuan Li, Shuai Yuan, Xiaodong Gu, Yuting Chen, Beijun Shen
2024	J	`jnl`	Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning. CoRR Yuze Jiang, Beijun Shen, Xiaodong Gu
2024	J	`jnl`	Project-specific code summarization with in-context learning. J. Syst. Softw. Shangbo Yun, Shuhuai Lin, Xiaodong Gu, Beijun Shen
2024	J	`jnl`	Unraveling the Potential of Large Language Models in Code Translation: How Far Are We? CoRR Qingxiao Tao, Tingrui Yu, Xiaodong Gu, Beijun Shen
2024	C	`conf`	Unraveling the Potential of Large Language Models in Code Translation: How Far are We? APSEC Qingxiao Tao, Tingrui Yu, Xiaodong Gu, Beijun Shen
2024	J	`jnl`	Zero-Shot Code Representation Learning via Prompt Tuning. CoRR Nan Cui, Xiaodong Gu, Beijun Shen
2023	J	`jnl`	DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing. Neural Process. Lett. Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen
2023	A*	`conf`	InfeRE: Step-by-Step Regex Generation via Chain of Inference. ASE Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen
2023	J	`jnl`	InfeRE: Step-by-Step Regex Generation via Chain of Inference. CoRR Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen
2023	A*	`conf`	Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX. ICSE Xinyuan Miao, Ziyi Lin, Shaojun Wang, Lei Yu, Sanhong Li, Zihan Wang, Pengbo Nie, Yuting Chen, Beijun Shen, He Jiang
2023	A*	`conf`	On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. ASE Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2023	J	`jnl`	On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. CoRR Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2022	A*	`conf`	Answering Software Deployment Questions via Neural Machine Reading at Scale. ASE Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen
2022	J	`jnl`	Automatically repairing tensor shape faults in deep learning programs. Inf. Softw. Technol. Dangwei Wu, Beijun Shen, Yuting Chen, He Jiang, Lei Qiao
2022	J	`jnl`	Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering. Int. J. Softw. Eng. Knowl. Eng. Shuai Yuan, Haozhe Qin, Xiaodong Gu, Beijun Shen
2022	C	`conf`	Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training. APSEC Tingrui Yu, Xiaodong Gu, Beijun Shen
2022	J	`jnl`	Cross-Domain Deep Code Search with Few-Shot Meta Learning. CoRR Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	A*	`conf`	Cross-Domain Deep Code Search with Meta Learning. ICSE Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	J	`jnl`	Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code. CoRR Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	—	`conf`	Diet code is healthy: simplifying programs for pre-trained models of code. ESEC/SIGSOFT FSE Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	A	`conf`	Self-supervised learning of smart contract representations. ICPC Shouliang Yang, Xiaodong Gu, Beijun Shen
2022	J	`jnl`	Zero-Shot Program Representation Learning. CoRR Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen
2022	A	`conf`	Zero-shot program representation learning. ICPC Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen
2021	J	`jnl`	An Empirical Study on Tensor Shape Faults in Deep Learning Systems. CoRR Dangwei Wu, Beijun Shen, Yuting Chen
2021	B	`conf`	ApproxiFuzzer: Fuzzing towards Deep Code Snippets in Java Programs. COMPSAC Xintian Yu, Enze Ma, Pengbo Nie, Beijun Shen, Yuting Chen, Ziyi Lin
2021	C	`conf`	ConLAR: Learning to Allocate Resources to Docker Containers under Time-Varying Workloads. QRS Diwei Chen, Beijun Shen, Yuting Chen
2021	J	`jnl`	Context-Aware Conversational Recommendation of Trigger-Action Rules in IoT Programming. Int. J. Softw. Eng. Knowl. Eng. Mingxin Zhao, Qinyue Wu, Enze Ma, Beijun Shen, Yuting Chen
2021	J	`jnl`	DeFiHap: Detecting and Fixing HiveQL Anti-Patterns. Proc. VLDB Endow. Yuetian Mao, Shuai Yuan, Nan Cui, Tianjiao Du, Beijun Shen, Yuting Chen
2021	B	`conf`	Learning to Match Workers and Tasks via a Multi-View Graph Attention Network. COMPSAC Nan Cui, Chunqi Chen, Beijun Shen, Yuting Chen
2021	A	`conf`	Locating Faulty Methods with a Mixed RNN and Attention Model. ICPC Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong
2021	J	`jnl`	Locating Faulty Methods with a Mixed RNN and Attention Model. CoRR Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong
2021	C	`conf`	Mining API Constraints from Library and Client to Detect API Misuses. APSEC Hushuang Zeng, Jingxin Chen, Beijun Shen, Hao Zhong
2021	A	`conf`	Tensfa: Detecting and Repairing Tensor Shape Faults in Deep Learning Systems. ISSRE Dangwei Wu, Beijun Shen, Yuting Chen, He Jiang, Lei Qiao
2021	A*	`conf`	Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates. WWW Haozhe Qin, Jiangang Zhu, Beijun Shen
2020	A	`conf`	Are the Code Snippets What We Are Searching for? A Benchmark and an Empirical Study on Code Search with Natural-Language Queries. SANER Shuhan Yan, Hang Yu, Yuting Chen, Beijun Shen, Lingxiao Jiang
2020	A*	`conf`	BugPecker: Locating Faulty Methods with Deep Learning on Revision Graphs. ASE Junming Cao, Shouliang Yang, Wenhui Jiang, Hushuang Zeng, Beijun Shen, Hao Zhong
2020	J	`jnl`	Feedback2Code: A Deep Learning Approach to Identifying User-Feedback-Related Source Code Files. Int. J. Softw. Eng. Knowl. Eng. Shuhan Yan, Tianjiao Du, Beijun Shen, Yuting Chen, Zhilei Ren
2020	A	`conf`	Learning Code-Query Interaction for Enhancing Code Searches. ICSME Wei Li, Haozhe Qin, Shuhan Yan, Beijun Shen, Yuting Chen
2020	B	`conf`	Learning to Recommend Trigger-Action Rules for End-User Development - A Knowledge Graph Based Approach. ICSR Qinyue Wu, Beijun Shen, Yuting Chen
2020	J	`jnl`	Semantic Service Search in IT Crowdsourcing Platform: A Knowledge Graph-Based Approach. Int. J. Softw. Eng. Knowl. Eng. Qinyue Wu, Duankang Fu, Beijun Shen, Yuting Chen
2019	—	`conf`	An Adaptive Approach to Recommending Obfuscation Rules for Java Bytecode Obfuscators. COMPSAC (1) Yanru Peng, Yuting Chen, Beijun Shen
2019	A*	`conf`	CocoQa: Question Answering for Coding Conventions Over Knowledge Graphs. ASE Tianjiao Du, Junming Cao, Qinyue Wu, Wei Li, Beijun Shen, Yuting Chen
2019	C	`conf`	Constructing a Knowledge Base of Coding Conventions from Online Resources. SEKE Junming Cao, Tianjiao Du, Beijun Shen, Wei Li, Qinyue Wu, Yuting Chen
2019	C	`conf`	CrowDevBot: A Task-Oriented Conversational Bot for Software Crowdsourcing Platform (S). SEKE Zeyu Ni, Beijun Shen, Yuting Chen, Zhangyuan Meng, Junming Cao
2019	C	`conf`	Enhancing Semantic Search of Crowdsourcing IT Services using Knowledge Graph. SEKE Duankang Fu, Shufan Zhou, Beijun Shen, Yuting Chen
2019	C	`conf`	Generating SQL Statements from Natural Language Queries: A Multitask Learning Approach (S). SEKE Chunqi Chen, Yunxiang Xiong, Beijun Shen, Yuting Chen
2019	A*	`conf`	Lancer: Your Code Tell Me What You Need. ASE Shufan Zhou, Beijun Shen, Hao Zhong
2019	C	`conf`	Reinforcement Learning of Code Search Sessions. APSEC Wei Li, Shuhan Yan, Beijun Shen, Yuting Chen
2018	C	`conf`	SLAMPA: Recommending Code Snippets with Statistical Language Model. APSEC Shufan Zhou, Hao Zhong, Beijun Shen
2017	C	`conf`	A GQM-based Approach for Software Process Patterns Recommendation. SEKE Zhangyuan Meng, Cheng Zhang, Beijun Shen, Yin Wei
2017	—	`conf`	CRSearcher: Searching Code Database for Repairing Bugs. Internetware Yingyi Wang, Yuting Chen, Beijun Shen, Hao Zhong
2017	C	`conf`	Cold-Start Developer Recommendation in Software Crowdsourcing: A Topic Sampling Approach. SEKE Yu Yang, Wenkai Mo, Beijun Shen, Yuting Chen
2017	J	`jnl`	Developer Identity Linkage and Behavior Mining Across GitHub and StackOverflow. Int. J. Softw. Eng. Knowl. Eng. Yunxiang Xiong, Zhangyuan Meng, Beijun Shen, Wei Yin
2017	C	`conf`	How Do Programmers Maintain Concurrent Code? APSEC Feiyue Yu, Hao Zhong, Beijun Shen
2017	C	`conf`	Mining Developer Behavior Across GitHub and StackOverflow. SEKE Yunxiang Xiong, Zhangyuan Meng, Beijun Shen, Wei Yin
2017	C	`conf`	Transfer Learning for Cross-Platform Software Crowdsourcing Recommendation. APSEC Shuhan Yan, Beijun Shen, Wenkai Mo, Ning Li
2016	J	`jnl`	Automatically Modeling Developer Programming Ability and Interest Across Software Communities. Int. J. Softw. Eng. Knowl. Eng. Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li
2016	C	`conf`	Building a Domain Knowledge Base from Wikipedia: a Semi-supervised Approach. SEKE Kai Chen, Xiang Dong, Jiangang Zhu, Beijun Shen
2016	C	`conf`	CPDScorer: Modeling and Evaluating Developer Programming Ability across Software Communities. SEKE Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li
2016	—	`conf`	ESSE: an early software size estimation method based on auto-extracted requirements features. Internetware Cheng Zhang, Shensi Tong, Wenkai Mo, Yang Zhou, Yong Xia, Beijun Shen
2016	C	`conf`	EXPSOL: Recommending Online Threads for Exception-Related Bug Reports. APSEC Xiaoning Liu, Beijun Shen, Hao Zhong, Jiangang Zhu
2016	B	`conf`	GRETA: Graph-Based Tag Assignment for GitHub Repositories. COMPSAC Xuyang Cai, Jiangang Zhu, Beijun Shen, Yuting Chen
2016	C	`conf`	Heterogeneous Cross-Company Effort Estimation through Transfer Learning. APSEC Shensi Tong, Qing He, Yuting Chen, Ye Yang, Beijun Shen
2016	C	`conf`	Learning to Discover Subsumptions between Software Engineering Concepts in Wikipedia. SEKE Xiang Dong, Kai Chen, Jiangang Zhu, Beijun Shen
2016	C	`conf`	Operational pattern based code generation for management information system: An industrial case study. SNPD Fagui Mao, Xuyang Cai, Beijun Shen, Yong Xia, Bo Jin
2016	B	`conf`	SOLinker: Constructing Semantic Links between Tags and URLs on StackOverflow. COMPSAC Wenkai Mo, Jiangang Zhu, Zhenzheng Qian, Beijun Shen
2016	B	`conf`	SatiIndicator: Leveraging User Reviews to Evaluate User Satisfaction of SourceForge Projects. COMPSAC Zhenzheng Qian, Beijun Shen, Wenkai Mo, Yuting Chen
2016	B	`conf`	Software Defect Prediction Using Semi-Supervised Learning with Change Burst Information. COMPSAC Qing He, Beijun Shen, Yuting Chen
2016	C	`conf`	Task Recommendation with Developer Social Network in Software Crowdsourcing. APSEC Ning Li, Wenkai Mo, Beijun Shen
2015	C	`conf`	A Learning to Rank Framework for Developer Recommendation in Software Crowdsourcing. APSEC Jiangang Zhu, Beijun Shen, Fanghuai Hu
2015	C	`conf`	Building a Large-scale Software Programming Taxonomy from Stackoverflow. SEKE Jiangang Zhu, Beijun Shen, Xuyang Cai, Haofen Wang
2015	A	`conf`	Code Bad Smell Detection through Evolutionary Data Mining. ESEM Shizhe Fu, Beijun Shen
2015	—	`conf`	Cross-Project Software Defect Prediction Using Feature-Based Transfer Learning. Internetware He Qing, Biwen Li, Beijun Shen, Yong Xia
2015	—	`conf`	GEMiner: Mining Social and Programming Behaviors to Identify Experts in Github. Internetware Wenkai Mo, Beijun Shen, Yuming He, Hao Zhong
2015	—	`conf`	Software.zhishi.schema: A Software Programming Taxonomy Derived from Stackoverflow. ISWC (Posters & Demos) Jiangang Zhu, Haofen Wang, Beijun Shen
2015	C	`conf`	TBIL: A Tagging-Based Approach to Identity Linkage Across Software Communities. APSEC Wenkai Mo, Beijun Shen, Yuting Chen, Jiangang Zhu
2015	C	`conf`	Towards Effective Developer Recommendation in Software Crowdsourcing. SEKE Shixiong Zhao, Beijun Shen, Yuting Chen, Hao Zhong
2014	B	`conf`	A Scenario-Based Approach to Predicting Software Defects Using Compressed C4.5 Model. COMPSAC Biwen Li, Beijun Shen, Jun Wang, Yuting Chen, Tao Zhang, Jinshuang Wang
2014	—	`conf`	Mining Developer Mailing List to Predict Software Defects. APSEC (1) Yu Zhang, Beijun Shen, Yuting Chen
2013	—	`conf`	Mining GitHub: Why Commit Stops - Exploring the Relationship between Developer's Commit Pattern and File Version Evolution. APSEC (2) Weicheng Yang, Beijun Shen, Ben Xu
2012	—	`conf`	Compressed C4.5 Models for Software Defect Prediction. QSIC Jun Wang, Beijun Shen, Yuting Chen
2012	J	`jnl`	Towards Agile Application Integration with M2M Platforms. KSII Trans. Internet Inf. Syst. Menghan Chen, Beijun Shen
2011	B	`conf`	A semantic unification approach for M2M applications based on ontology. WiMob Menghan Chen, Beijun Shen
2011	—	`conf`	Measuring and Improving IT Service Support Processes: A Case Study. EAST Kai Zhou, Beijun Shen
2010	—	`conf`	Engineering Adaptive IT Service Support Processes Using Meta-modeling Technologies. ICSP Beijun Shen, Xin Huang, Kai Zhou, Wenwei Tang
2010	—	`conf`	Enhance Information Flow Tracking with Function Recognition. e-Forensics Kan Zhou, Shiqiu Huang, Zhengwei Qi, Jian Gu, Beijun Shen
2010	—	`conf`	IT Service Support Process Meta-Modeling Based on ITIL. DSDE Xin Huang, Beijun Shen, Delai Chen
2010	—	`conf`	Knowledge Services for Knowledge Workers. WSKS (1) Dehua Ju, Beijun Shen
2010	—	`conf`	On Knowledge Services for Outsourcing Professional Development. SEAFOOD Dehua Ju, Beijun Shen
2009	—	`conf`	Extending Model Driven Architecture with Software Security Assessment. SSIRI Xucheng Tang, Beijun Shen
2008	—	`conf`	A Case Study of Software Process Improvement in a Chinese Small Company. CSSE (2) Beijun Shen, Tong Ruan
2008	—	`conf`	Support IT Service Management with Process Modeling and Analysis. ICSP Beijun Shen
2007	—	`conf`	On the Measurement of Agility in Software Process. ICSP Beijun Shen, Dehua Ju
2006	—	`conf`	The Design of a Flexible Software Process Language. SPW/ProSim Beijun Shen, Cheng Chen