Yuze Zhao
Fifth Year PhD of Artificial Intelligence
About Me
I am Yuze Zhao, a PhD candidate in Computer Science at the University of Science and Technology of China. I conduct research on large language models at the State Key Laboratory of Cognitive Intelligence and am a member of the BASE Group. I am advised by Prof. Qi Liu and Asst. Prof. Zhenya Huang.
My research interests include code reasoning, agentic reinforcement learning, human-computer interaction, and trustworthy large language model systems.
Bio
News
Recent updates on papers, code releases, and honors.
Education
Experience
Publications
Published papers link to public versions. Ongoing manuscripts are listed separately for manual maintenance.
The Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, 2025.
Introduces code reasoning as a distinct reasoning setting and proposes the RHDA pipeline to iteratively decompose, verify, and amend hypotheses during program reasoning.
@inproceedings{zhao2025unveiling,
title={Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment},
author={Zhao, Yuze and Ji, Tianyun and Feng, Wenjun and Huang, Zhenya and Liu, Qi and Liu, Zhiding and Ma, Yixiao and Zhang, Kai and Chen, Enhong},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=kN25ggeq1J}
}
Findings of the Association for Computational Linguistics: ACL 2024, pages 16415-16429, Bangkok, Thailand. Association for Computational Linguistics.
@inproceedings{zhao2024repair,
title={RePair: Automated Program Repair with Process-based Feedback},
author={Zhao, Yuze and Huang, Zhenya and Ma, Yixiao and Li, Rui and Zhang, Kai and Jiang, Hao and Liu, Qi and Zhu, Linbo and Su, Yu},
booktitle={Findings of the Association for Computational Linguistics: ACL 2024},
pages={16415--16429},
year={2024},
url={https://aclanthology.org/2024.findings-acl.973/}
}
Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis
IEEE Transactions on Neural Networks and Learning Systems, 36(10): 19240-19254, 2025.
@article{zhao2025semantic,
title={Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis},
author={Zhao, Yuze and Huang, Zhenya and Zhang, Kai and Gao, Weibo and Liu, Qi and Liu, Xukai and Yao, Fangzhou and Chen, Enhong},
journal={IEEE Transactions on Neural Networks and Learning Systems},
volume={36},
number={10},
pages={19240--19254},
year={2025}
}
econvRBP: Improved Ensemble Convolutional Neural Networks for RNA Binding Protein Prediction Directly from Sequence
Methods, 181-182: 15-23, 2020.
@article{zhao2020econvrbp,
title={econvRBP: Improved Ensemble Convolutional Neural Networks for RNA Binding Protein Prediction Directly from Sequence},
author={Zhao, Yuze and Du, Xiuquan},
journal={Methods},
volume={181-182},
pages={15--23},
year={2020}
}
Proceedings of the AAAI Conference on Artificial Intelligence, 39(23): 24276-24284, 2025.
@inproceedings{jiang2025verse,
title={VERSE: Verification-based Self-Play for Code Instructions},
author={Jiang, Hao and Liu, Qi and Li, Rui and Zhao, Yuze and Ma, Yixiao and Ye, Shengyu and Lu, Junyu and Su, Yu},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={39},
number={23},
pages={24276--24284},
year={2025}
}
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 354-365, 2025.
@inproceedings{gao2025denoising,
title={Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor},
author={Gao, Weibo and Liu, Qi and Li, Rui and Zhao, Yuze and Wang, Hao and Yue, Linan and Yao, Fangzhou and Zhang, Zheng},
booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
pages={354--365},
year={2025}
}
Proceedings of the AAAI Conference on Artificial Intelligence, 38(8): 8679-8687, 2024.
@inproceedings{li2024consider,
title={CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework},
author={Li, Rui and He, Liyang and Liu, Qi and Zhao, Yuze and Zhang, Zheng and Huang, Zhenya and Su, Yu and Wang, Shijin},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={8},
pages={8679--8687},
year={2024}
}
Accepted by The ACM Web Conference (WWW).
@article{pan2025adaptiverouting,
title={Adaptive Routing for LLM and Reasoning Strategy Selection},
author={Pan, Zhihong and Zhang, Kai and Zhao, Yuze and Han, Yupeng},
journal={CoRR},
volume={abs/2505.19435},
year={2025}
}DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
@article{liu2024disents,
title={DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting},
author={Liu, Zhiding and Yang, Jiqian and Mao, Qingyang and Zhao, Yuze and Cheng, Mingyue and Li, Zhi and Liu, Qi and Chen, Enhong},
journal={CoRR},
volume={abs/2410.22981},
year={2024}
}What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
Under review for the International Conference on Machine Learning (ICML).
SWE-Mutation: Can LLM Generate Reliable Test Suites in Software Engineering?
New manuscript in preparation.
Honors
Scholarships, awards, and competition results.