Παρακολούθηση
Ensheng Shi
Ensheng Shi
Xi'an Jiaotong University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stu.xjtu.edu.cn - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
On the evaluation of neural code summarization
E Shi, Y Wang, L Du, J Chen, S Han, H Zhang, D Zhang, H Sun
ICSE 2022; Proceedings of the 44th International Conference on Software …, 2022
107*2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
E Shi, Y Wang, L Du, H Zhang, S Han, D Zhang, H Sun
EMNLP 2021, 2021
692021
On the Evaluation of Commit Message Generation Models: An Experimental Study
W Tao, Y Wang, E Shi, L Du, S Han, H Zhang, D Zhang, W Zhang
ICSME 2021, 2021
562021
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network
Y Wang, E Shi, L Du, X Yang, Y Hu, S Han, H Zhang, D Zhang
MSR-TR 2020, 2021
56*2021
CoCoSoDa: Effective Contrastive Learning for Code Search
E Shi, Y Wang, W Gu, L Du, H Zhang, S Han, D Zhang, H Sun
ICSE2023; Proceedings of the 45th International Conference on Software …, 2023
51*2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
E Shi, Y Wang, H Zhang, L Du, S Han, D Zhang, H Sun
ISSTA2023, 2023
432023
RACE: Retrieval-Augmented Commit Message Generation
E Shi, Y Wang, W Tao, L Du, H Zhang, S Han, D Zhang, H Sun
EMNLP 2022, 2022
432022
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
L Du, X Shi, Y Wang, E Shi, S Han, D Zhang
CIKM 2021, 2994-2998, 2021
392021
A large-scale empirical study of commit message generation: models, datasets and evaluation
W Tao, Y Wang, E Shi, L Du, S Han, H Zhang, D Zhang, W Zhang
Empirical Software Engineering 27 (7), 198, 2022
152022
CoCoSoDa: Effective Contrastive Learning for Code Search. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2198–2210
E Shi, Y Wang, W Gu, L Du, H Zhang, S Han, D Zhang, H Sun
IEEE, 2023
122023
SoTaNa: The Open-Source Software Development Assistant
E Shi, F Zhang, Y Wang, B Chen, L Du, H Zhang, S Han, D Zhang, H Sun
arXiv preprint arXiv:2308.13416, 2023
112023
Agents in software engineering: Survey, landscape, and vision
Y Wang, W Zhong, Y Huang, E Shi, M Yang, J Chen, H Li, Y Ma, Q Wang, ...
arXiv preprint arXiv:2409.09030, 2024
62024
When to stop? towards efficient code generation in llms with excess token prevention
L Guo, Y Wang, E Shi, W Zhong, H Zhang, J Chen, R Zhang, Y Ma, ...
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024
62024
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
Y Wang, L Guo, E Shi, W Chen, J Chen, W Zhong, M Wang, H Li, H Zhang, ...
2023 IEEE International Conference on Software Maintenance and Evolution …, 2023
62023
Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond
D Zheng, Y Wang, E Shi, R Zhang, Y Ma, H Zhang, Z Zheng
arXiv preprint arXiv:2406.06918, 2024
52024
Cocoast: representing source code via hierarchical splitting and reconstruction of abstract syntax trees
E Shi, Y Wang, L Du, H Zhang, S Han, D Zhang, H Sun
Empirical Software Engineering 28 (6), 135, 2023
52023
RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening
Y Li, E Shi, D Zheng, K Duan, J Chen, Y Wang
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 229-238, 2024
12024
Context-aware code summarization with multi-relational graph neural network
Y Wang, E Shi, L Du, X Yang, Y Hu, Y Wang, D Guo, S Han, H Zhang, ...
Automated Software Engineering 32 (1), 1-26, 2025
2025
How Well Do LLMs Generate Code for Different Application Domains? Benchmark and Evaluation
D Zheng, Y Wang, E Shi, H Zhang, Z Zheng
arXiv preprint arXiv:2412.18573, 2024
2024
SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing
W Gu, E Shi, Y Wang, L Du, S Han, H Zhang, D Zhang, MR Lyu
arXiv preprint arXiv:2412.11728, 2024
2024
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