Haichuan Hu

I am a Ph.D. student (2026.1–) in the Department of Computing at The Hong Kong Polytechnic University, supervised by Prof. Wenjie Li. My current research focuses on building language-model systems that understand people better and provide useful, personalized support.

Before starting my Ph.D., I received both my M.Eng. and B.Eng. in Software Engineering from Nanjing University, where I was supervised by Prof. Zhenyu Chen. I also worked on large-scale database systems and LLM applications at Alibaba Cloud, Microsoft, and Alibaba.com.

research interests

Emotional support and personalized alignment
Large language models and LLM agents
AI for software engineering

I am always happy to discuss research ideas and potential collaborations. Please feel free to reach out by email.

selected publications

PSearch: Search-based Patch Generation in the Era of LLM-based Automated Program Repair

Haichuan Hu, Ye Shang, Weifeng Sun, and Quanjun Zhang

In 41st IEEE/ACM International Conference on Automated Software Engineering. CCF-A , 2026

arXiv Bib HTML GitHub

@inproceedings{hu2026psearch,
  title = {PSearch: Search-based Patch Generation in the Era of LLM-based Automated Program Repair},
  author = {Hu, Haichuan and Shang, Ye and Sun, Weifeng and Zhang, Quanjun},
  booktitle = {41st IEEE/ACM International Conference on Automated Software Engineering},
  year = {2026},
}

A Survey of Large Language Models for Legal Tasks: Progress, Prospects and Challenges

Congqing He, Haichuan Hu, Yanli Li, Hao Zhang, and Quanjun Zhang

Computer Science Review. JCR Q1; equal contribution , 2026

DOI Bib HTML GitHub

@article{he2026survey,
  title = {A Survey of Large Language Models for Legal Tasks: Progress, Prospects and Challenges},
  author = {He, Congqing and Hu, Haichuan and Li, Yanli and Zhang, Hao and Zhang, Quanjun},
  journal = {Computer Science Review},
  volume = {60},
  pages = {100906},
  year = {2026},
  doi = {10.1016/j.cosrev.2026.100906},
}

Personalized Alignment in the Era of LLMs: A Review of Methodologies, Datasets, Evaluation, and Applications

Haichuan Hu, Xiao Yang, Jiashuo Wang, Quanjun Zhang, Mingni Tang, Changhe Song, Ye Shang, Congqing He, and Wenjie Li

TechRxiv preprint , 2026

DOI Bib HTML GitHub

@misc{hu2026personalized,
  title = {Personalized Alignment in the Era of LLMs: A Review of Methodologies, Datasets, Evaluation, and Applications},
  author = {Hu, Haichuan and Yang, Xiao and Wang, Jiashuo and Zhang, Quanjun and Tang, Mingni and Song, Changhe and Shang, Ye and He, Congqing and Li, Wenjie},
  howpublished = {TechRxiv},
  year = {2026},
  doi = {10.36227/techrxiv.177083699.99572896/v1},
}