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ORCIDZhang Zhang 0005
Person information
- affiliation: National University of Defense Technology, Key Laboratory of Software Engineering for Complex Systems, Changsha, China
Other persons with the same name
- Zhang Zhang — disambiguation page
- Zhang Zhang 0001
![[0000-0001-9425-3065]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9425-3065")
— Chinese Academy of Sciences, Institute of Automation, Beijing, China - Zhang Zhang 0002 — Chinese Academy of Sciences, Beijing Institute of Genomics, Beijing, China (and 1 more)
- Zhang Zhang 0003 — ByteDance
- Zhang Zhang 0004 — Hefei University of Technology, School of Microelectronics, School of Electronic Science and Applied Physics, Anhui, China
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2020 – today
- 2025
[j3]Shuo Wang, Xinjun Mao, Shuo Yang, Menghan Wu, Zhang Zhang:
ROS package search for robot software development: a knowledge graph-based approach. Frontiers Comput. Sci. 19(6): 196320 (2025)- [c11]Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao:
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. ICSE 2025: 566-577 - [c10]Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi:
Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. ICPC 2025: 298-309 - [c9]Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Fei Gao, Xunhui Zhang:
Improving API Knowledge Comprehensibility: A Context-Dependent Entity Detection and Context Completion Approach Using LLM. SANER 2025: 205-216 - [c8]Longfei Sun, Yao Lu, Xinjun Mao, Tanghaoran Zhang, Zhang Zhang, Huiping Zhou:
ConflictLens: an LLM-Based Method for Detecting Semantic Merge Conflicts. SEKE 2025: 223-228 - [i4]Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi:
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. CoRR abs/2504.19444 (2025) - 2024
- [c7]Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu:
CAREER: Context-Aware API Recognition with Data Augmentation for API Knowledge Extraction. ICPC 2024: 438-449 - [i3]Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao:
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. CoRR abs/2411.15501 (2024) - 2023
- [c6]Yuxin Zhao, Xinjun Mao, Tanghaoran Zhang, Zhang Zhang:
MUSE: A Multi-Feature Semantic Fusion Method for ROS Node Search Based on Knowledge Graph. APSEC 2023: 269-278 - [i2]Shuo Wang, Xinjun Mao, Shuo Yang, Menghan Wu, Zhang Zhang:
ROS package search for robot software development: a knowledge graph-based approach. CoRR abs/2312.14781 (2023) - [i1]Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao:
Enhancing Code Intelligence Tasks with ChatGPT. CoRR abs/2312.15202 (2023) - 2022
- [j2]Zhang Zhang, Xinjun Mao, Chao Zhang, Yao Lu:
ForkXplorer: an approach of fork summary generation. Frontiers Comput. Sci. 16(3): 162202 (2022) - [c5]Yi Huang, Xinjun Mao, Zhang Zhang:
The Maintenance of Top Frameworks and Libraries Hosted on GitHub: An Empirical Study. SEKE 2022: 449-452 - [c4]Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao:
On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community. SANER 2022: 432-443 - 2020
- [j1]Zhang Zhang, Xinjun Mao, Yao Lu, Jinyu Lu, Yue Yu, Zhixing Li:
Automatic Voter Recommendation Method for Closing Questions in Stack Overflow. Int. J. Softw. Eng. Knowl. Eng. 30(11&12): 1707-1733 (2020) - [c3]Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao:
Understanding the Non-Repairability Factors of Automated Program Repair Techniques. APSEC 2020: 71-80 - [c2]Zhang Zhang, Xinjun Mao, Yao Lu, Shangwen Wang, Jinyu Lu:
An Empirical Study on the Influence of Social Interactions for the Acceptance of Answers in Stack Overflow. APSEC 2020: 425-434 - [c1]Zhang Zhang, Xinjun Mao, Yao Lu, Jinyu Lu:
Who Should Close the Questions: Recommending Voters for Closing Questions Based on Tags. SEKE 2020: 507-512
Coauthor Index
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