activity
20222025
most citedRecommender Systems in the Era of Large Language Models (LLMs)

422 citations · 428 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2025

WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web

Zihuai Zhao, Yujuan Ding, Wenqi Fan +1

Recommender systems play a vital role in alleviating information overload and enriching users' online experience. In the era of large language models (LLMs), LLM-based recommender…

cs.IR2025

Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations

Zihuai Zhao, Wenqi Fan, Yao Wu +1

Large Language Models (LLMs) have demonstrated unprecedented language understanding and reasoning capabilities to capture diverse user preferences and advance personalized recommen…

cs.IR2024★ 3 cited

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation

Haohao Qu, Wenqi Fan, Zihuai Zhao +1

There is a growing interest in utilizing large-scale language models (LLMs) to advance next-generation Recommender Systems (RecSys), driven by their outstanding language understand…

cs.IR2023★ 422 cited

Recommender Systems in the Era of Large Language Models (LLMs)

Zihuai Zhao, Wenqi Fan, Jiatong Li +8

With the prosperity of e-commerce and web applications, Recommender Systems (RecSys) have become an important component of our daily life, providing personalized suggestions that c…

eess.SY2022★ 3 cited

Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach

Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo +2

Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost de…