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Feng P*, He Y*, Huang G*, et al. AGILE: A Novel Framework of LLM Agents[J]. arXiv preprint arXiv:2405.14751, 2024. link
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Gao Y, He Y, Li X, et al. An Empirical Study on Low GPU Utilization of Deep Learning Jobs[C]. Proceedings of the IEEE/ACM 46th International Conference on Software Engineering. 2024: 1-13. link
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He Y, Wang L, Wang K, et al. COME: Commit Message Generation with Modification Embedding[C]. Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis. 2023: 792-803. link
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Wang L, Tang X, He Y, et al. Delving into commit-issue correlation to enhance commit message generation models[C]. 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2023: 710-722. link
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2022.04 - 2024.05 AGILE: A Novel Framework of LLM Agents
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2022.05 - 2024.03 Content Quality - Fake Information Identify
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2022.10 - 2024.01 Code Change to Commit Message
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2021.10 - 2022.05 An Empirical Study on Low GPU Utilization of Deep Learning Jobs
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2021.06 - 2021.09 Information Extraction and Structuring
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2020.06 - 2020.08 C Subset Compiler
2020 National College Student Computer System Ability Competition - Compilation System Design Competition - First Price (link)
2020 Mathematical Contest In Modeling - Honorable Mention