Wenyuan Wang

Wenyuan Wang

Research Intern

University of Illinois Urbana-Champaign

Research Interests

Multimodal Learning
World Model
Trustworthy AI and Interpretability

About

I am a Research Assistant at the University of Illinois Urbana-Champaign, working with Prof. Tong Zhang. Previously, I was a visiting student at Rutgers University (2024-2025), advised by Prof. Hao Wang. I obtained my B.S. in Electronic Information Engineering from Wuhan University in 2024.

My research focuses on multimodal learning, world models and interpretability. I aim to develop AI systems capable of robust causal forecasting and grounded understanding of the physical world.

Selected Publications

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Generalizable Geometric Image Caption Synthesis

Yue Xin, Wenyuan Wang, Rui Pan, Ruida Wang, Howard Meng, Renjie Pi, Shizhe Diao, Tong Zhang

ICLR under review

Integrated symbolic reasoning with neural-guided heuristics for geometric problem-solving and image generation

Probabilistic Residual User Clustering

Wenyuan Wang, Yusong Zhao, Zihao Xu, Hengyi Wang, Shreya Venugopal, Desmond Lobo, Chengzhi Mao, Qi Xu, Zhigang Hua, Yan Xie, Bo Long, Shuang Yang, Hao Wang

TMLR under review

A causal Bayesian framework that clusters users and models residuals to enhance recommendation accuracy