Cai Zhou

According to our database, Cai Zhou authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning Diffusion Models with Flexible Representation Guidance.

Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi S. Jaakkola

CoRR, July, 2025

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation.

Yulin Wang, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang

Int. J. Comput. Vis., May, 2025

Thought calibration: Efficient and confident test-time scaling.

Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola

CoRR, May, 2025

Robots and firm total factor productivity: evidence from China.

Bowen Li, Xin Liu, Cai Zhou

Int. J. Technol. Manag., 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model.

Zidong Wang, Zeyu Lu, Di Huang, Cai Zhou, Wanli Ouyang, Lei Bai

CoRR, 2024

Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors.

Junru Zhou, Cai Zhou, Xiyuan Wang, Pan Li, Muhan Zhang

CoRR, 2024

Geometric Representation Condition Improves Equivariant Molecule Generation.

Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang

CoRR, 2024

Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs.

Cai Zhou, Xiyuan Wang, Muhan Zhang

CoRR, 2024

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion.

Cai Zhou, Xiyuan Wang, Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers.

Cai Zhou, Rose Yu, Yusu Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes.

Cai Zhou, Xiyuan Wang, Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks.

Cai Zhou, Xiyuan Wang, Muhan Zhang

Proceedings of the International Conference on Machine Learning, 2023

2019

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