In-Fiber Mach-Zehnder Interferometer Based on Three-Core Fiber for Measurement of Directional Bending. - Lei Ding; Yu Li; Cai Zhou; Min Hu; Yuli Xiong; Zhongliang Zeng (Sensors, 2019)

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

Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. - Cai Zhou; Xiyuan Wang; Muhan Zhang (NeurIPS, 2023)

On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. - Cai Zhou; Rose Yu; Yusu Wang 001 (AISTATS, 2024)

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion. - Cai Zhou; Xiyuan Wang; Muhan Zhang (NeurIPS, 2024)

Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs. - Cai Zhou; Xiyuan Wang; Muhan Zhang (CoRR, 2024)

Geometric Representation Condition Improves Equivariant Molecule Generation. - Zian Li; Cai Zhou; Xiyuan Wang; Xingang Peng; Muhan Zhang (CoRR, 2024)

Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors. - Junru Zhou; Cai Zhou; Xiyuan Wang; Pan Li; Muhan Zhang (CoRR, 2024)

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model. - Zidong Wang 004; Zeyu Lu; Di Huang; Cai Zhou; Wanli Ouyang; Lei Bai 001 (CoRR, 2024)

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. - Junxian Li 001; Di Zhang; Xunzhi Wang; Zeying Hao; Jingdi Lei; Qian Tan; Cai Zhou; Wei Liu 123; Yaotian Yang; Xinrui Xiong; Weiyun Wang; Zhe Chen 013; et al. (AAAI, 2025)

Robots and firm total factor productivity: evidence from China. - Bowen Li; Xin Liu; Cai Zhou (Int. J. Technol. Manag., 2025)

Thought calibration: Efficient and confident test-time scaling. - Menghua Wu; Cai Zhou; Stephen Bates; Tommi S. Jaakkola (CoRR, 2025)

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation. - Yulin Wang 002; Zanlin Ni; Yifan Pu; Cai Zhou; Jixuan Ying; Shiji Song; Gao Huang 001 (Int. J. Comput. Vis., 2025)

Learning Diffusion Models with Flexible Representation Guidance. - Chenyu Wang 003; Cai Zhou; Sharut Gupta; Zongyu Lin; Stefanie Jegelka; Stephen Bates; Tommi S. Jaakkola (CoRR, 2025)