Ensheng Shi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Code Generation

Relational Graph

Ensemble Learning

Information Loss

Top Venues

Empir. Softw. Eng.

Publications

Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. CoRR (2024)
Yifan Li, Ensheng Shi, Dewu Zheng, Kefeng Duan, Jiachi Chen, Yanlin Wang
RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening. Internetware (2024)
Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng
Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond. CoRR (2024)
Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR (2023)
Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE (2023)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. 28 (6) (2023)
Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
SoTaNa: The Open-Source Software Development Assistant. CoRR (2023)
Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA (2023)
Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search. ICSME (2023)
Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
RACE: Retrieval-augmented Commit Message Generation. EMNLP (2022)
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. 27 (7) (2022)
Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR (2022)
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
On the Evaluation of Neural Code Summarization. ICSE (2022)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
ECMG: Exemplar-based Commit Message Generation. CoRR (2022)
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
Neural Code Summarization: How Far Are We? CoRR (2021)
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
On the Evaluation of Commit Message Generation Models: An Experimental Study. ICSME (2021)
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. CoRR (2021)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. CoRR (2021)
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
On the Evaluation of Commit Message Generation Models: An Experimental Study. CoRR (2021)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. EMNLP (1) (2021)
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. CIKM (2021)
Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. CoRR (2021)