Tanghaoran Zhang

According to our database, Tanghaoran Zhang authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation.

Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Zezhou Tang, Wenyu Xu, Longfei Sun, Changrong Xie, Kang Yang, Yue Yu

CoRR, January, 2026

2025

BDiff: Block-aware and Accurate Text-based Code Differencing.

Yao Lu, Wanwei Liu, Tanghaoran Zhang, Kang Yang, Yang Zhang, Wenyu Xu, Longfei Sun, Xinjun Mao, Shuzheng Gao, Michael R. Lyu

CoRR, October, 2025

CARLDA: An Approach for Stack Overflow API Mention Recognition Driven by Context and LLM-Based Data Augmentation.

Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Yao Lu

J. Softw. Evol. Process., 2025

ConflictLens: an LLM-Based Method for Detecting Semantic Merge Conflicts.

Longfei Sun, Yao Lu, Xinjun Mao, Tanghaoran Zhang, Zhang Zhang, Huiping Zhou

Proceedings of the 37th International Conference on Software Engineering and Knowledge Engineering, 2025

Improving API Knowledge Comprehensibility: A Context-Dependent Entity Detection and Context Completion Approach Using LLM.

Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Fei Gao, Xunhui Zhang

Proceedings of the IEEE International Conference on Software Analysis, 2025

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation.

Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Jin Zhang, Zhang Zhang, Kang Yang, Yue Yu

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks.

Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Understanding the Faults in Serverless Computing Based Applications: An Empirical Study.

Changrong Xie, Yang Zhang, Xinjun Mao, Kang Yang, Tanghaoran Zhang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering.

Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

How Do Developers Adapt Code Snippets to Their Contexts? An Empirical Study of Context-Based Code Snippet Adaptations.

Tanghaoran Zhang, Yao Lu, Yue Yu, Xinjun Mao, Yang Zhang, Yuxin Zhao

IEEE Trans. Software Eng., November, 2024

An Empirical Study of Cross-Project Pull Request Recommendation in GitHub.

Wenyu Xu, Yao Lu, Xunhui Zhang, Tanghaoran Zhang, Bo Lin, Xinjun Mao

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

Enhancing Code Intelligence Tasks with ChatGPT.

Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao

CoRR, 2023

An Effective Method for Constructing Knowledge Graph to Search Reusable ROS Nodes (S).

Yuxin Zhao, Xinjun Mao, Sun Bo, Tanghaoran Zhang, Shuo Yang

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization.

Kang Yang, Xinjun Mao, Shangwen Wang, Yihao Qin, Tanghaoran Zhang, Yao Lu, Kamal Al-Sabahi

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

MUSE: A Multi-Feature Semantic Fusion Method for ROS Node Search Based on Knowledge Graph.

Yuxin Zhao, Xinjun Mao, Tanghaoran Zhang, Zhang Zhang

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction.

Tanghaoran Zhang, Yue Yu, Xinjun Mao, Yao Lu, Zhixing Li, Huaimin Wang

Empir. Softw. Eng., 2022

2020

Verifying ReLU Neural Networks from a Model Checking Perspective.

Wan-Wei Liu, Fu Song, Tanghaoran Zhang, Ji Wang

J. Comput. Sci. Technol., 2020