Zhou, Cai

10 publications

ICLR 2026 On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond Chenxiao Yang, Cai Zhou, David Wipf, Zhiyuan Li

ICLR 2026 SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi Jaakkola, Yuandong Tian, Bo Liu

AAAI 2025 ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

ICML 2025 Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang

NeurIPS 2025 Learning Diffusion Models with Flexible Representation Guidance Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi Jaakkola

NeurIPS 2025 Next Semantic Scale Prediction via Hierarchical Diffusion Language Models Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi Jaakkola

AISTATS 2024 On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou, Rose Yu, Yusu Wang

NeurIPS 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion Cai Zhou, Xiyuan Wang, Muhan Zhang

NeurIPS 2023 Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Cai Zhou, Xiyuan Wang, Muhan Zhang

ICML 2023 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou, Xiyuan Wang, Muhan Zhang