Yu Wang
Biography
I am currently a 4th year PhD student at Computer Science department of University of Illinois at Chicago. I am advised by Prof. Philip S. Yu at Big Data and Social Computing Lab.
I am interested in Graph Neural Network, Knowledge Graph and Recommendation.
LinkedIn Google Scholar Github CV
Selected Publications
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models
Yuqing Liu*, Yu Wang*, Lichao Sun, Philip S. Yu (Equal Contribution)
Arxiv
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation
Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S Yu
Arxiv
Conditional Denoising Diffusion for Sequential Recommendation
Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
PAKDD 2024
Exploiting Intent Evolution in E-commercial Query Recommendation
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu
KDD 2023
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
CIKM 2022
DskreG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
CIKM 2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
SIGIR 2021
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
Yu Wang, Yuesong Shen, Daniel Cremers
UAI 2021
work experience
Machine Learning Research Scientist Intern
Netflix
May - Aug 2023
Applied Scientist Intern
Amazon (Search Mission Understanding)
May - Aug 2022