Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. - Xiaohan Li 001; Yuqing Liu 003; Zheng Liu 017; Philip S. Yu (IEEE Big Data, 2022)

Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation. - Yuqing Liu 003; Yu Wang 158; Yuwei Cao; Lichao Sun 001; Philip S. Yu (IEEE Big Data, 2024)

Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models. - Yuqing Liu 003; Yu Wang 158; Lichao Sun 001; Philip S. Yu (CoRR, 2024)

Uncertainty in Graph Neural Networks: A Survey. - Fangxin Wang 003; Yuqing Liu 003; Kay Liu; Yibo Wang 001; Sourav Medya; Philip S. Yu (Trans. Mach. Learn. Res., 2024)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. - Yuwei Cao; Liangwei Yang; Zhiwei Liu 001; Yuqing Liu 003; Chen Wang 052; Yueqing Liang; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. - Weizhi Zhang 001; Liangwei Yang; Wooseong Yang; Henry Peng Zou; Yuqing Liu 003; Ke Xu; Sourav Medya; Philip S. Yu (CoRR, 2025)

Cold-Start Recommendation with Knowledge-Guided Retrieval-Augmented Generation. - Wooseong Yang; Weizhi Zhang 001; Yuqing Liu 003; Yuwei Han; Yu Wang 158; Junhyun Lee; Philip S. Yu (CoRR, 2025)