publications

2026

1. 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},
   }

2. ComPass: Contrastive Learning for Automated Patch Correctness Assessment in Program Repair

   Quanjun Zhang, Ye Shang, Haichuan Hu, Chunrong Fang, Zhenyu Chen, and Liang Xiao

   Empirical Software Engineering. CCF-B , 2026

   DOI Bib HTML

   @article{zhang2026compass,
     title = {ComPass: Contrastive Learning for Automated Patch Correctness Assessment in Program Repair},
     author = {Zhang, Quanjun and Shang, Ye and Hu, Haichuan and Fang, Chunrong and Chen, Zhenyu and Xiao, Liang},
     journal = {Empirical Software Engineering},
     volume = {31},
     number = {6},
     pages = {157},
     year = {2026},
     doi = {10.1007/s10664-026-10871-x},
   }

3. 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},
   }

4. Socio-spatial Inequalities in Industrial and Commercial Distributed Photovoltaic Deployment in China: Drivers and Policy Implications

   Chenshuo Ma, Haichuan Hu, Yueting Ding, Qingzheng Wang, and Qian-Cheng Wang

   Sustainable Energy Technologies and Assessments, 2026

   DOI Bib HTML

   @article{ma2026photovoltaic,
     title = {Socio-spatial Inequalities in Industrial and Commercial Distributed Photovoltaic Deployment in China: Drivers and Policy Implications},
     author = {Ma, Chenshuo and Hu, Haichuan and Ding, Yueting and Wang, Qingzheng and Wang, Qian-Cheng},
     journal = {Sustainable Energy Technologies and Assessments},
     volume = {90},
     pages = {105018},
     year = {2026},
     doi = {10.1016/j.seta.2026.105018},
   }

5. Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction

   Hao Zhang, Jiahao Wang, Zhenke Duan, Xin Yin, Haichuan Hu, Hualong Chen, Suyi, Congqing He, Yike Tan, and Yu-N Cheah

   In Findings of the Association for Computational Linguistics: ACL, 2026

   DOI Bib HTML

   @inproceedings{zhang2026tree,
     title = {Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction},
     author = {Zhang, Hao and Wang, Jiahao and Duan, Zhenke and Yin, Xin and Hu, Haichuan and Chen, Hualong and Suyi and He, Congqing and Tan, Yike and Cheah, Yu-N},
     booktitle = {Findings of the Association for Computational Linguistics: ACL},
     pages = {16372--16391},
     year = {2026},
     doi = {10.18653/v1/2026.findings-acl.806},
   }

6. 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},
   }

2025

1. Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs

   Haichuan Hu, Ye Shang, Guolin Xu, Congqing He, and Quanjun Zhang

   In IEEE/ACM International Workshop on Automated Program Repair. Workshop , 2025

   DOI Bib HTML GitHub

   @inproceedings{hu2025gpto1,
     title = {Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs},
     author = {Hu, Haichuan and Shang, Ye and Xu, Guolin and He, Congqing and Zhang, Quanjun},
     booktitle = {IEEE/ACM International Workshop on Automated Program Repair},
     pages = {11--18},
     year = {2025},
     doi = {10.1109/APR66717.2025.00007},
   }

2. Mapping Utilizable Rooftop Areas to Meet Food Security Goal in Four High-density Cities: A Deep Learning and GIS Integrated Approach

   Chenshuo Ma, Chao Yuan, Yifei Zhang, and Haichuan Hu

   Sustainable Cities and Society, 2025

   DOI Bib HTML

   @article{ma2025rooftop,
     title = {Mapping Utilizable Rooftop Areas to Meet Food Security Goal in Four High-density Cities: A Deep Learning and GIS Integrated Approach},
     author = {Ma, Chenshuo and Yuan, Chao and Zhang, Yifei and Hu, Haichuan},
     journal = {Sustainable Cities and Society},
     volume = {118},
     pages = {106066},
     year = {2025},
     doi = {10.1016/j.scs.2024.106066},
   }

2024

1. Machine Translation Testing via Syntactic Tree Pruning

   Quanjun Zhang, Juan Zhai, Chunrong Fang, Jiawei Liu, Weisong Sun, Haichuan Hu, and Qingyu Wang

   ACM Transactions on Software Engineering and Methodology. CCF-A , 2024

   DOI Bib HTML

   @article{zhang2024machine,
     title = {Machine Translation Testing via Syntactic Tree Pruning},
     author = {Zhang, Quanjun and Zhai, Juan and Fang, Chunrong and Liu, Jiawei and Sun, Weisong and Hu, Haichuan and Wang, Qingyu},
     journal = {ACM Transactions on Software Engineering and Methodology},
     volume = {33},
     number = {4},
     year = {2024},
     doi = {10.1145/3640329},
   }