Publications
A collection of my research work.
MMMG: A Comprehensive and Reliable Benchmark for Multitask Multimodal Generation
Jihan Yao, Yushi Hu, Wenyuan Wang, Bin Han, Shangbin Feng, Guang Yang, Yujie Yi, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, Banghua Zhu
COLM 2026 2026
Extended the benchmark with additional examples, evaluated OpenAI-sourced generative models on text-to-image tasks, and performed an in-depth analysis of failure cases
PhysMRV: Physical Memory Retrieval and Verification for Physics Plausibility Reasoning
Wenyuan Wang, Lianyu Hu, Hao Wang, Yang Liu
arXiv preprint (2026) 2026
A training-free retrieval-augmented reasoning framework with a hierarchical Physical Memory Bank built from 19,708 video-QA examples for physical plausibility reasoning.
Probabilistic Residual Learning for Online Recommendations
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
RecSys 2026 2026
PRUC is a causal Bayesian framework that clusters users and models residuals to enhance recommendation accuracy and cold-start performance.
Generalizable Geometric Image Caption Synthesis
Yue Xin†, Wenyuan Wang†, Rui Pan, Ruida Wang, Howard Meng, Renjie Pi, Shizhe Diao, Tong Zhang
arXiv preprint arXiv:2509.15217 2025
Integrated symbolic reasoning with neural-guided heuristics for geometric problem-solving and image generation
PhysProver: Advancing Automatic Theorem Proving for Physics
Hanning Zhang†, Ruida Wang†, Rui Pan†, Wenyuan Wang†, BingXu Meng, Tong Zhang
arXiv preprint arXiv:2601.15737; under review at EMNLP 2026 2025
Curated dataset of 3,122 training examples from PhysLean library and proposed evaluation framework using Lean server verification for physics theorem proving
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of MLLMs
Hengyi Wang, Haizhou Shi, Shiwei Tan, Weiyi Qin, Wenyuan Wang, Tunyu Zhang, Akshay Nambi, Tanuja Ganu, Hao Wang
NAACL 2025
Evaluated performance of MLLMs on multimodal long-context benchmarks
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Zifeng Wang, Sayna Ebrahimi, Hao Wang
ACM Computing Surveys 2024
Comprehensive survey of advancements in continual learning for multimodal LLMs
Multi-tailed Vision Transformer for Efficient Inference
Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu
Neural Networks 2024
Multiple tails architecture for Vision Transformers achieving significant FLOP reduction