DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. - Yu Wang 158; Zhiwei Liu 001; Ziwei Fan 001; Lichao Sun 001; Philip S. Yu (CIKM, 2021)

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. - Zhiwei Liu 001; Ziwei Fan 001; Yu Wang 158; Philip S. Yu (SIGIR, 2021)

Explicit pairwise factorized graph neural network for semi-supervised node classification. - Yu Wang 158; Yuesong Shen; Daniel Cremers (UAI, 2021)

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. - Yu Wang 158; Hengrui Zhang; Zhiwei Liu 001; Liangwei Yang; Philip S. Yu (CIKM, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Xun Chen; Lichao Sun 001 (EMNLP (Findings), 2022)

Sequential Recommendation via Stochastic Self-Attention. - Ziwei Fan 001; Zhiwei Liu 001; Yu Wang 158; Alice Wang; Zahra Nazari; Lei Zheng 001; Hao Peng 001; Philip S. Yu (WWW, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 052; Ziwei Fan 001; Philip S. Yu (WWW, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 018; Ziwei Fan 001; Philip S. Yu (CoRR, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Lichao Sun 001 (CoRR, 2022)

Localized Contrastive Learning on Graphs. - Hengrui Zhang; Qitian Wu; Yu Wang 158; Shaofeng Zhang; Junchi Yan; Philip S. Yu (CoRR, 2022)

Exploiting Intent Evolution in E-commercial Query Recommendation. - Yu Wang 158; Zhengyang Wang; Hengrui Zhang; Qingyu Yin; Xianfeng Tang; Yinghan Wang; Danqing Zhang; Limeng Cui; Monica Xiao Cheng; Bing Yin; Suhang Wang; Philip S. Yu (KDD, 2023)

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. - Yu Wang 158; Zhiwei Liu 001; Jianguo Zhang 005; Weiran Yao; Shelby Heinecke; Philip S. Yu (CoRR, 2023)

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)

Conditional Denoising Diffusion for Sequential Recommendation. - Yu Wang 158; Zhiwei Liu 001; Liangwei Yang; Philip S. Yu (PAKDD (5), 2024)

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

Recommender Systems Meet Large Language Model Agents: A Survey. - Xi Zhu; Yu Wang 158; Hang Gao; Wujiang Xu; Chen Wang; Zhiwei Liu 001; Kun Wang 056; Mingyu Jin; Linsey Pang; Qingsong Weng; Philip S. Yu; Yongfeng Zhang (Found. Trends Priv. Secur., 2025)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. - Weizhi Zhang 001; Yuanchen Bei; Liangwei Yang; Henry Peng Zou; Peilin Zhou; Aiwei Liu; Yinghui Li; Hao Chen 062; Jianling Wang; Yu Wang 158; Feiran Huang; Sheng Zhou 004; et al. (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)