Haoran Xin

Haoran Xin

Ph.D. Student in AI Thrust at HKUST(GZ).

About

I am a Ph.D. student in Artificial Intelligence at The Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Hui Xiong and Prof. Ying Sun. Before that, I received my MPhil degree in Data Science from the University of Science and Technology of China (USTC) in 2023, and my B.Eng. degree in Computer Science and Technology from Hefei University of Technology (HFUT) in 2020. My research interests include Recommender Systems, Large Language Models, and Data Mining.

Publications

See the full list on my Publications page.

Preprint

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach Haoran Xin, Ying Sun, Chao Wang, Weijia Zhang, Hui Xiong

Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs Haoran Xin, Ying Sun, Chao Wang, Yanke Yu, Weijia Zhang, Hui Xiong

Journal/Conference

How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective Haoran Xin, Xinjiang Lu, Ying Sun, Nengjun Zhu, Tong Xu, Jingbo Zhou, Hui Xiong ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2026. [CCF-B]

LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models Haoran Xin, Ying Sun, Chao Wang, Hui Xiong ACM Transactions on Information Systems (ACM TOIS), 2025. [CCF-A]

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). [CCF-A]

Out-of-Town Recommendation with Travel Intention Modeling Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021). [CCF-A]

A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation Xi Chen, Xinjiang Lu, Haoran Xin, Wenjun Peng, Haoyang Duan, Feihu Jiang, Jingbo Zhou, Hui Xiong Findings of the Association for Computational Linguistics: EMNLP 2023. [CCF-B]

RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022. [CCF-A]

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong Proceedings of the Web Conference 2021 (WWW 2021). [CCF-A]

Parallel Temporal Encoder for Sign Language Translation Peipei Song, Dan Guo, Haoran Xin, Meng Wang 2019 IEEE International Conference on Image Processing (ICIP 2019). [CCF-C]

Experience

  • Research Intern, Tencent Ads, Tencent, Shenzhen, China (2025.05 - 2026.02)
  • Research Intern, Business Intelligence Lab, Baidu Research, Beijing, China (2019.09 - 2020.09, 2021.07 - 2023.04)

Honors & Awards

  • Annual Outstanding Intern Award of Baidu Research, 2022
  • China National Scholarship, 2021
  • Excellent Graduate Award of Anhui Province, 2020