Ensheng Shi

According to our database, Ensheng Shi authored at least 20 papers between 2021 and 2024.

Collaborative distances:

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

2024

Agents in Software Engineering: Survey, Landscape, and Vision.

Yanlin Wang, Wanjun Zhong, Yanxian Huang, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng

CoRR, 2024

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond.

Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng

CoRR, 2024

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.

Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening.

Yifan Li, Ensheng Shi, Dewu Zheng, Kefeng Duan, Jiachi Chen, Yanlin Wang

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

2023

CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees.

Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

Empir. Softw. Eng., November, 2023

SoTaNa: The Open-Source Software Development Assistant.

Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

CoRR, 2023

Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond.

Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.

Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

CoCoSoDa: Effective Contrastive Learning for Code Search.

Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

A large-scale empirical study of commit message generation: models, datasets and evaluation.

Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang

Empir. Softw. Eng., 2022

Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation.

Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

CoRR, 2022

ECMG: Exemplar-based Commit Message Generation.

Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

CoRR, 2022

On the Evaluation of Neural Code Summarization.

Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

RACE: Retrieval-augmented Commit Message Generation.

Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Neural Code Summarization: How Far Are We?

Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun

CoRR, 2021

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search.

Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang

CoRR, 2021

CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network.

Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang

CoRR, 2021

On the Evaluation of Commit Message Generation Models: An Experimental Study.

Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees.

Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search.

Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021