Yu Wang

27 papers A* 5A 3B 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
LLM Reasoning for Cold-Start Item Recommendation.
WWW
Shijun Li, Yu Wang, Jin Wang, Ying Li, Joydeep Ghosh, Anne Cocos
2025 J jnl
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap.
CoRR
Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu
2025 J jnl
Cold-Start Recommendation with Knowledge-Guided Retrieval-Augmented Generation.
CoRR
Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee, Philip S. Yu
2025 J jnl
LLM Reasoning for Cold-Start Item Recommendation.
CoRR
Shijun Li, Yu Wang, Jin Wang, Ying Li, Joydeep Ghosh, Anne Cocos
2025 J jnl
Recommender Systems Meet Large Language Model Agents: A Survey.
Found. Trends Priv. Secur.
Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang
2024 — conf
Conditional Denoising Diffusion for Sequential Recommendation.
PAKDD (5)
Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2024 J jnl
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models.
CoRR
Yuqing Liu, Yu Wang, Lichao Sun, Philip S. Yu
2024 B conf
Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation.
IEEE Big Data
Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu
2023 J jnl
Conditional Denoising Diffusion for Sequential Recommendation.
CoRR
Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2023 J jnl
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation.
CoRR
Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu
2023 A* conf
Exploiting Intent Evolution in E-commercial Query Recommendation.
KDD
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2022 A conf
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.
CIKM
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022 J jnl
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.
CoRR
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022 — conf
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
EMNLP (Findings)
Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun
2022 J jnl
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
CoRR
Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun
2022 A* conf
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
WWW
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022 J jnl
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
CoRR
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022 J jnl
Localized Contrastive Learning on Graphs.
CoRR
Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu
2022 A* conf
Sequential Recommendation via Stochastic Self-Attention.
WWW
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022 J jnl
Sequential Recommendation via Stochastic Self-Attention.
CoRR
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2021 A* conf
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
SIGIR
Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021 J jnl
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
CoRR
Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021 A conf
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
CIKM
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021 J jnl
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
CoRR
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021 J jnl
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification.
CoRR
Yu Wang, Yuesong Shen, Daniel Cremers
2021 A conf
Explicit pairwise factorized graph neural network for semi-supervised node classification.
UAI
Yu Wang, Yuesong Shen, Daniel Cremers
2021 J jnl
Membership Inference Attacks on Knowledge Graphs.
CoRR
Yu Wang, Lichao Sun