Cai Zhou

According to our database, Cai Zhou authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

HRM-Text: Efficient Pretraining Beyond Scaling.

Guan Wang, Changling Liu, Chenyu Wang, Cai Zhou, Yuhao Sun, Yifei Wu, Shuai Zhen, Luca Scimeca, Yasin Abbasi-Yadkori

CoRR, May, 2026

Toward Better Geometric Representations for Molecule Generative Models.

Shaoheng Yan, Zian Li, Cai Zhou, Qiaojing Huang, Kai Liu, Muhan Zhang

CoRR, May, 2026

FlashMol: High-Quality Molecule Generation in as Few as Four Steps.

Xinyuan Wei, Zian Li, Shaoheng Yan, Cai Zhou, Muhan Zhang

CoRR, May, 2026

Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning.

Cai Zhou, Zekai Wang, Menghua Wu, Qianyu Julie Zhu, Flora C. Shi, Chenyu Wang, Ashia Wilson, Tommi S. Jaakkola, Stephen Bates

CoRR, April, 2026

Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation.

Cai Zhou, Zijie Chen, Zian Li, Jike Wang, Kaiyi Jiang, Pan Li, Rose Yu, Muhan Zhang, Stephen Bates, Tommi S. Jaakkola

CoRR, February, 2026

CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos.

Chubin Zhang, Jianan Wang, Zifeng Gao, Yue Su, Tianru Dai, Cai Zhou, Jiwen Lu, Yansong Tang

CoRR, January, 2026

2025

What Affects the Effective Depth of Large Language Models?

Yi Hu, Cai Zhou, Muhan Zhang

CoRR, December, 2025

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 S. Jaakkola, Yuandong Tian, Bo Liu

CoRR, October, 2025

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models.

Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi S. Jaakkola

CoRR, October, 2025

On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond.

Chenxiao Yang, Cai Zhou, David Wipf, Zhiyuan Li

CoRR, October, 2025

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner.

Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang

CoRR, October, 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

Robots and firm total factor productivity: evidence from China.

Bowen Li, Xin Liu, Cai Zhou

Int. J. Technol. Manag., 2025

Learning Diffusion Models with Flexible Representation Guidance.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Geometric Representation Condition Improves Equivariant Molecule Generation.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Thought calibration: Efficient and confident test-time scaling.

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

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 37: 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