Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. - Lun Du; Xiaozhou Shi; Yanlin Wang 001; Ensheng Shi; Shi Han; Dongmei Zhang 001 (CIKM, 2021)

CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. - Ensheng Shi; Yanlin Wang 001; Lun Du; Hongyu Zhang 002; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (EMNLP (1), 2021)

On the Evaluation of Commit Message Generation Models: An Experimental Study. - Wei Tao 003; Yanlin Wang 001; Ensheng Shi; Lun Du; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001; Wenqiang Zhang (ICSME, 2021)

CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. - Yanlin Wang 001; Ensheng Shi; Lun Du; Xiaodi Yang; Yuxuan Hu 003; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001 (CoRR, 2021)

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. - Lun Du; Xiaozhou Shi; Yanlin Wang 001; Ensheng Shi; Shi Han; Dongmei Zhang 001 (CoRR, 2021)

Neural Code Summarization: How Far Are We? - Ensheng Shi; Yanlin Wang 001; Lun Du; Junjie Chen 003; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001; Hongbin Sun 001 (CoRR, 2021)

RACE: Retrieval-augmented Commit Message Generation. - Ensheng Shi; Yanlin Wang 001; Wei Tao 003; Lun Du; Hongyu Zhang 002; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (EMNLP, 2022)

On the Evaluation of Neural Code Summarization. - Ensheng Shi; Yanlin Wang 001; Lun Du; Junjie Chen 003; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001; Hongbin Sun 001 (ICSE, 2022)

ECMG: Exemplar-based Commit Message Generation. - Ensheng Shi; Yanlin Wang 001; Lun Du; Hongyu Zhang 002; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (CoRR, 2022)

Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. - Ensheng Shi; Wenchao Gu; Yanlin Wang 001; Lun Du; Hongyu Zhang 002; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (CoRR, 2022)

A large-scale empirical study of commit message generation: models, datasets and evaluation. - Wei Tao 003; Yanlin Wang 001; Ensheng Shi; Lun Du; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001; Wenqiang Zhang (Empir. Softw. Eng., 2022)

CoCoSoDa: Effective Contrastive Learning for Code Search. - Ensheng Shi; Yanlin Wang 001; Wenchao Gu; Lun Du; Hongyu Zhang 002; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (ICSE, 2023)

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search. - Yanlin Wang 001; Lianghong Guo; Ensheng Shi; Wenqing Chen; Jiachi Chen; Wanjun Zhong; Menghan Wang; Hui Li 057; Hongyu Zhang 002; Ziyu Lyu; Zibin Zheng (ICSME, 2023)

Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. - Ensheng Shi; Yanlin Wang 001; Hongyu Zhang 002; Lun Du; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (ISSTA, 2023)

SoTaNa: The Open-Source Software Development Assistant. - Ensheng Shi; Fengji Zhang; Yanlin Wang 001; Bei Chen; Lun Du; Hongyu Zhang 002; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (CoRR, 2023)

CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. - Ensheng Shi; Yanlin Wang 001; Lun Du; Hongyu Zhang 002; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (Empir. Softw. Eng., 2023)

RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening. - Yifan Li; Ensheng Shi; Dewu Zheng; Kefeng Duan; Jiachi Chen; Yanlin Wang 001 (Internetware, 2024)

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. - Lianghong Guo; Yanlin Wang 001; Ensheng Shi; Wanjun Zhong; Hongyu Zhang 002; Jiachi Chen; Ruikai Zhang; Yuchi Ma; Zibin Zheng (ISSTA, 2024)

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Ruikai Zhang; Yuchi Ma; Hongyu Zhang 002; Zibin Zheng (CoRR, 2024)

How Well Do LLMs Generate Code for Different Application Domains? Benchmark and Evaluation. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Hongyu Zhang 002; Zibin Zheng (CoRR, 2024)

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 001; Jing Li 034; Min Zhang 005 (ACL (1), 2025)

SoTaNa: An Open-Source Software Engineering Instruction-Tuned Model. - Ensheng Shi; Yanlin Wang 001; Fengji Zhang; Bei Chen; Hongyu Zhang 002; Yanli Wang; Daya Guo; Lun Du; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (Forge@ICSE, 2025)

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing. - Wenchao Gu; Ensheng Shi; Yanlin Wang 001; Lun Du; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001; Michael R. Lyu (ICSE, 2025)

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Ruikai Zhang; Yuchi Ma; Hongyu Zhang 002; Zibin Zheng (ICSE, 2025)

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation. - Ziyao Zhang 004; Chong Wang 013; Yanlin Wang 001; Ensheng Shi; Yuchi Ma; Wanjun Zhong; Jiachi Chen; Mingzhi Mao; Zibin Zheng (Proc. ACM Softw. Eng., 2025)

Towards an Understanding of Context Utilization in Code Intelligence. - Yanlin Wang 001; Kefeng Duan; Dewu Zheng; Ensheng Shi; Fengji Zhang; Yanli Wang; Jiachi Chen; Xilin Liu 001; Yuchi Ma; Hongyu Zhang 002; Qianxiang Wang; Zibin Zheng (CoRR, 2025)

Context-aware code summarization with multi-relational graph neural network. - Yanlin Wang 001; Ensheng Shi; Lun Du; Xiaodi Yang; Yuxuan Hu 003; Yan Wang; Daya Guo; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001 (Autom. Softw. Eng., 2025)

EffiReasonTrans: RL-Optimized Reasoning for Code Translation. - Yanlin Wang 001; Rongyi Ou; Yanli Wang; Mingwei Liu 002; Jiachi Chen; Ensheng Shi; Xilin Liu 001; Yuchi Ma; Zibin Zheng (CoRR, 2025)

Agents in software engineering: survey, landscape, and vision. - Yanlin Wang 001; Wanjun Zhong; Yanxian Huang; Ensheng Shi; Min Yang 002; Jiachi Chen; Hui Li 057; Yuchi Ma; Qianxiang Wang; Zibin Zheng (Autom. Softw. Eng., 2025)