Ensheng Shi

According to our database, Ensheng Shi authored at least 37 papers between 2021 and 2026.

Collaborative distances:

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

2026

Towards an Understanding of Context Utilization in Code Intelligence.

Yanlin Wang, Kefeng Duan, Dewu Zheng, Ensheng Shi, Fengji Zhang, Yanli Wang, Jiachi Chen, Xilin Liu, Yuchi Ma, Hongyu Zhang, Qianxiang Wang, Zibin Zheng

ACM Comput. Surv., August, 2026

Yet Even Less Is Even Better For Agentic, Reasoning, and Coding LLMs.

Yang Ye, Jingyuan Tan, Tianyue Jiang, Ruizhe Ye, Qiankun He, Jiarui Yang, Jian Dong, Sicong Liang, Chongjian Yue, Peibai Xu, Lufan Lu, Shiguan Pang, Taotao Qian, Junbao Hu, Yuechan Hao, Ensheng Shi, Qi Zhang, Yi Hao, Na Fan, Xin Tan, Shuai Yao, Zhiwei Shen, Zongchen Li, Yanlin Wang, Chong Chen, Yuchi Ma

CoRR, April, 2026

DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning.

Yanlin Wang, Jiadong Wu, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Chong Wang, Ensheng Shi, Xilin Liu, Yuchi Ma, Zibin Zheng

CoRR, January, 2026

ShortCoder: Knowledge-Augmented Syntax Optimization for Token-Efficient Code Generation.

Sicong Liu, Yanxian Huang, Mingwei Liu, Jiachi Chen, Ensheng Shi, Yuchi Ma, Hongyu Zhang, Yin Zhang, Yanlin Wang

CoRR, January, 2026

2025

UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models.

Jiajun Wu, Jian Yang, Wei Zhang, Lin Jing, Yuqing Ma, Ensheng Shi, Yuchi Ma, Zhoujun Li, Xianglong Liu

CoRR, December, 2025

SimpleDevQA: Benchmarking Large Language Models on Development Knowledge QA.

Jing Zhang, Lianghong Guo, Yanlin Wang, Mingwei Liu, Jiachi Chen, Yuchi Ma, Ensheng Shi, Terry Yue Zhuo, Hongyu Zhang, Zibin Zheng

CoRR, December, 2025

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence.

Jian Yang, Xianglong Liu, Weifeng Lv, Ken Deng, Shawn Guo, Lin Jing, Yizhi Li, Shark Liu, Xianzhen Luo, Yuyu Luo, Changzai Pan, Ensheng Shi, Yingshui Tan, Renshuai Tao, Jiajun Wu, Xianjie Wu, Zhenhe Wu, Daoguang Zan, Chenchen Zhang, Wei Zhang, He Zhu, Terry Yue Zhuo, Kerui Cao, Xianfu Cheng, Jun Dong, Shengjie Fang, Zhiwei Fei, Xiangyuan Guan, Qipeng Guo, Zhiguang Han, Joseph James, Tianqi Luo, Renyuan Li, Yuhang Li, Yiming Liang, Congnan Liu, Jiaheng Liu, Qian Liu, Ruitong Liu, Tyler Loakman, Xiangxin Meng, Chuang Peng, Tianhao Peng, Jiajun Shi, Mingjie Tang, Boyang Wang, Haowen Wang, Yunli Wang, Fanglin Xu, Zihan Xu, Fei Yuan, Ge Zhang, Jiayi Zhang, Xinhao Zhang, Wangchunshu Zhou, Hualei Zhu, King Zhu, Bryan Dai, Aishan Liu, Zhoujun Li, Chenghua Lin, Tianyu Liu, Chao Peng, Kai Shen, Libo Qin, Shuangyong Song, Zizheng Zhan, Jiajun Zhang, Jie Zhang, Zhaoxiang Zhang, Bo Zheng

CoRR, November, 2025

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

Autom. Softw. Eng., November, 2025

EffiReasonTrans: RL-Optimized Reasoning for Code Translation.

Yanlin Wang, Rongyi Ou, Yanli Wang, Mingwei Liu, Jiachi Chen, Ensheng Shi, Xilin Liu, Yuchi Ma, Zibin Zheng

CoRR, October, 2025

Context-aware code summarization with multi-relational graph neural network.

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

Autom. Softw. Eng., June, 2025

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.

Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, Zibin Zheng

Proc. ACM Softw. Eng., 2025

DrainCode: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning.

Yanli Wang, Jiadong Wu, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Chong Wang, Ensheng Shi, Xilin Liu, Yuchi Ma, Zibin Zheng

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

AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion.

Tianyue Jiang, Yanlin Wang, Yanli Wang, Daya Guo, Ensheng Shi, Yuchi Ma, Jiachi Chen, Zibin Zheng

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

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation.

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

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

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing.

Wenchao Gu, Ensheng Shi, Yanlin Wang, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Michael R. Lyu

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

SoTaNa: An Open-Source Software Engineering Instruction-Tuned Model.

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

Proceedings of the IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering, 2025

Speed Up Your Code: Progressive Code Acceleration Through Bidirectional Tree Editing.

Longhui Zhang, Jiahao Wang, Meishan Zhang, GaoXiong Cao, Ensheng Shi, Mayuchi Mayuchi, Jun Yu, Honghai Liu, Jing Li, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

How Well Do LLMs Generate Code for Different Application Domains? Benchmark and Evaluation.

Dewu Zheng, Yanlin Wang, Ensheng Shi, Hongyu Zhang, 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