Yao Lu - RankMe

38 papers A* 2A 4B 1C 6Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation. CoRR Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Jin Zhang, Zhang Zhang, Kang Yang, Yue Yu
2026	J	`jnl`	Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation. CoRR Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Zezhou Tang, Wenyu Xu, Longfei Sun, Changrong Xie, Kang Yang, Yue Yu
2025	A*	`conf`	AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation. ASE Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Jin Zhang, Zhang Zhang, Kang Yang, Yue Yu
2025	J	`jnl`	BDiff: Block-aware and Accurate Text-based Code Differencing. CoRR Yao Lu, Wanwei Liu, Tanghaoran Zhang, Kang Yang, Yang Zhang, Wenyu Xu, Longfei Sun, Xinjun Mao, Shuzheng Gao, Michael R. Lyu
2025	J	`jnl`	CARLDA: An Approach for Stack Overflow API Mention Recognition Driven by Context and LLM-Based Data Augmentation. J. Softw. Evol. Process. Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Yao Lu
2025	C	`conf`	ConflictLens: an LLM-Based Method for Detecting Semantic Merge Conflicts. SEKE Longfei Sun, Yao Lu, Xinjun Mao, Tanghaoran Zhang, Zhang Zhang, Huiping Zhou
2025	A*	`conf`	Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. ICSE Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao
2025	A	`conf`	Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. ICPC Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi
2025	J	`jnl`	Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. CoRR Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi
2024	C	`conf`	An Empirical Study of Cross-Project Pull Request Recommendation in GitHub. APSEC Wenyu Xu, Yao Lu, Xunhui Zhang, Tanghaoran Zhang, Bo Lin, Xinjun Mao
2024	A	`conf`	CAREER: Context-Aware API Recognition with Data Augmentation for API Knowledge Extraction. ICPC Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu
2024	J	`jnl`	How Do Developers Adapt Code Snippets to Their Contexts? An Empirical Study of Context-Based Code Snippet Adaptations. IEEE Trans. Software Eng. Tanghaoran Zhang, Yao Lu, Yue Yu, Xinjun Mao, Yang Zhang, Yuxin Zhao
2024	J	`jnl`	Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. CoRR Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao
2023	A	`conf`	An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization. ICPC Kang Yang, Xinjun Mao, Shangwen Wang, Yihao Qin, Tanghaoran Zhang, Yao Lu, Kamal Al-Sabahi
2022	J	`jnl`	FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction. Empir. Softw. Eng. Tanghaoran Zhang, Yue Yu, Xinjun Mao, Yao Lu, Zhixing Li, Huaimin Wang
2022	J	`jnl`	ForkXplorer: an approach of fork summary generation. Frontiers Comput. Sci. Zhang Zhang, Xinjun Mao, Chao Zhang, Yao Lu
2022	J	`jnl`	Motivation Under Gamification: An Empirical Study of Developers' Motivations and Contributions in Stack Overflow. IEEE Trans. Software Eng. Yao Lu, Xinjun Mao, Minghui Zhou, Yang Zhang, Zude Li, Tao Wang, Gang Yin, Huaimin Wang
2022	J	`jnl`	Towards a behavior tree-based robotic software architecture with adjoint observation schemes for robotic software development. Autom. Softw. Eng. Shuo Yang, Xinjun Mao, Yao Lu, Yong Xu
2021	J	`jnl`	TagNN: A Code Tag Generation Technology for Resource Retrieval from Open-Source Big Data. Wirel. Commun. Mob. Comput. Lingbin Zeng, Xin Guo, Cheng Yang, Yao Lu, Xiao Li
2020	C	`conf`	An Empirical Study on the Influence of Social Interactions for the Acceptance of Answers in Stack Overflow. APSEC Zhang Zhang, Xinjun Mao, Yao Lu, Shangwen Wang, Jinyu Lu
2020	J	`jnl`	Automatic Voter Recommendation Method for Closing Questions in Stack Overflow. Int. J. Softw. Eng. Knowl. Eng. Zhang Zhang, Xinjun Mao, Yao Lu, Jinyu Lu, Yue Yu, Zhixing Li
2020	—	`conf`	Exploiting Crowd-based Learning Method in Software Engineering Course. ICCSE Xinjun Mao, Yao Lu, Yi Yang
2020	C	`conf`	Exploring CQA User Contributions and Their Influence on Answer Distribution. SEKE Yi Yang, Xinjun Mao, Zixi Xu, Yao Lu
2020	—	`conf`	Exploring the Dependency Network of Docker Containers: Structure, Diversity, and Relationship. Internetware Yinyuan Zhang, Yang Zhang, Yiwen Wu, Yao Lu, Tao Wang, Xinjun Mao
2020	B	`conf`	Gathering GitHub OSS Requirements from Q&A Community: an Empirical Study. ICECCS Hao Huang, Yao Lu, Xinjun Mao
2020	J	`jnl`	Gathering GitHub OSS Requirements from Q&A Community: an Empirical Study. CoRR Hao Huang, Yao Lu, Xinjun Mao
2020	A	`conf`	Haste Makes Waste: An Empirical Study of Fast Answers in Stack Overflow. ICSME Yao Lu, Xinjun Mao, Minghui Zhou, Yang Zhang, Tao Wang, Zude Li
2020	J	`jnl`	Improving students' programming quality with the continuous inspection process: a social coding perspective. Frontiers Comput. Sci. Yao Lu, Xinjun Mao, Tao Wang, Gang Yin, Zude Li
2020	C	`conf`	Who Should Close the Questions: Recommending Voters for Closing Questions Based on Tags. SEKE Zhang Zhang, Xinjun Mao, Yao Lu, Jinyu Lu
2020	J	`jnl`	基于特征提取的开源社区Fork摘要自动生成方法 (Approach of Automatic Fork Summary Generation in Open Source Community Based on Feature Extraction). 计算机科学 Chao Zhang, Xinjun Mao, Yao Lu
2019	J	`jnl`	History-Driven Fix for Code Quality Issues. IEEE Access Jiangtao Xue, Xinjun Mao, Yao Lu, Yue Yu, Shangwen Wang
2019	J	`jnl`	Studying in the 'Bazaar': An Exploratory Study of Crowdsourced Learning in GitHub. IEEE Access Yao Lu, Xinjun Mao, Tao Wang, Gang Yin, Zude Li, Wanyuan Wang
2018	—	`conf`	Continuous inspection in the classroom: improving students' programming quality with social coding methods. ICSE (Companion Volume) Yao Lu, Xinjun Mao, Tao Wang, Gang Yin, Zude Li, Huaimin Wang
2018	J	`jnl`	Internal quality assurance for external contributions in GitHub: An empirical investigation. J. Softw. Evol. Process. Yao Lu, Xinjun Mao, Zude Li, Yang Zhang, Tao Wang, Gang Yin
2018	—	`conf`	Model and Practice of Crowd-Based Education. APWeb/WAIM Workshops Xinjun Mao, Yao Lu, Liangze Yin, Tao Wang, Gang Yin
2017	—	`conf`	Quantitative Analysis of Learning Data in a Programming Course. DASFAA Workshops Yu Bai, Liqian Chen, Gang Yin, Xinjun Mao, Ye Deng, Tao Wang, Yao Lu, Huaimin Wang
2017	—	`conf`	Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study. DASFAA Workshops Yao Lu, Xinjun Mao, Gang Yin, Tao Wang, Yu Bai
2016	C	`conf`	Does the Role Matter? An Investigation of the Code Quality of Casual Contributors in GitHub. APSEC Yao Lu, Xinjun Mao, Zude Li, Yang Zhang, Tao Wang, Gang Yin