I am currently a Ph.D. student of the Department of Computing, Hong Kong Polytechnic University (PolyU), under the supervision of Prof. Qing Li and Dr. Wenqi Fan. Before joining the PolyU, I received both a Master’s degree (MPhil in Engineering) and a Bachelor’s degree (B.Eng. (Hons) in Electrical Engineering) from the University of Sydney in 2023 and 2020, respectively. My research interest covers Recommender Systems, Natural Language Processing, and Deep Reinforcement Learning. I am always welcoming collaboration from solid partners.

Research Interest

• Recommender System (RecSys)
• Large Language Model (LLM)
• Deep Reinforcement Learning (DRL)
• Wireless Networked Control System (WNCS)

News 📣

• Our tutorial on Recommender Systems in the Era of Large Language Models (LLMs) is accepted by ICDM 2023.
  Overview

  

  
  Tutorial Website Paper Slide

Publications

• WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web
  Zihuai Zhao, Yujuan Ding, Wenqi Fan, and Qing Li
  arXiv preprint, 2024, arXiv:2511.14182

• Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
  Zihuai Zhao, Wenqi Fan, Yao Wu, and Qing Li
  arXiv preprint, 2024, arXiv:2504.04199

• TokenRec: Learning to Tokenize ID for LLM-Based Generative Recommendations
  Haohao Qu, Wenqi Fan, Zihuai Zhao, and Qing Li
  IEEE Transactions on Knowledge and Data Engineering, 2024, 10.1109/TKDE.2025.3599265

• Recommender Systems in the Era of Large Language Models (LLMs)
  Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li
  IEEE Transactions on Knowledge and Data Engineering, 2024, 10.1109/TKDE.2024.3392335

• Deep Learning for Wireless Networked Systems: A Joint Estimation-Control-Scheduling Approach
  Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
  IEEE Internet of Things Journal, 2023, DOI:10.1109/JIOT.2023.3300074