Cai Zhou - RankMe

27 papers A* 6A 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos. CoRR Chubin Zhang, Jianan Wang, Zifeng Gao, Yue Su, Tianru Dai, Cai Zhou, Jiwen Lu, Yansong Tang
2026	J	`jnl`	Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation. CoRR Cai Zhou, Zijie Chen, Zian Li, Jike Wang, Kaiyi Jiang, Pan Li, Rose Yu, Muhan Zhang, Stephen Bates, Tommi S. Jaakkola
2025	A*	`conf`	ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. AAAI 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
2025	J	`jnl`	Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner. CoRR Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang
2025	A*	`conf`	Geometric Representation Condition Improves Equivariant Molecule Generation. ICML Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang
2025	J	`jnl`	InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation. Int. J. Comput. Vis. Yulin Wang, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang
2025	J	`jnl`	Learning Diffusion Models with Flexible Representation Guidance. CoRR Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	Next Semantic Scale Prediction via Hierarchical Diffusion Language Models. CoRR Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond. CoRR Chenxiao Yang, Cai Zhou, David Wipf, Zhiyuan Li
2025	J	`jnl`	Robots and firm total factor productivity: evidence from China. Int. J. Technol. Manag. Bowen Li, Xin Liu, Cai Zhou
2025	J	`jnl`	SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models. CoRR 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
2025	A*	`conf`	Thought calibration: Efficient and confident test-time scaling. EMNLP Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	Thought calibration: Efficient and confident test-time scaling. CoRR Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	What Affects the Effective Depth of Large Language Models? CoRR Yi Hu, Cai Zhou, Muhan Zhang
2024	J	`jnl`	ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. CoRR 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, Shufei Zhang, Mao Su, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou
2024	J	`jnl`	FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model. CoRR Zidong Wang, Zeyu Lu, Di Huang, Cai Zhou, Wanli Ouyang, Lei Bai
2024	J	`jnl`	Geometric Representation Condition Improves Equivariant Molecule Generation. CoRR Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang
2024	J	`jnl`	Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs. CoRR Cai Zhou, Xiyuan Wang, Muhan Zhang
2024	A	`conf`	On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. AISTATS Cai Zhou, Rose Yu, Yusu Wang
2024	J	`jnl`	On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. CoRR Cai Zhou, Rose Yu, Yusu Wang
2024	J	`jnl`	Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors. CoRR Junru Zhou, Cai Zhou, Xiyuan Wang, Pan Li, Muhan Zhang
2024	A*	`conf`	Unifying Generation and Prediction on Graphs with Latent Graph Diffusion. NeurIPS Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	A*	`conf`	Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. NeurIPS Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. CoRR Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	A*	`conf`	From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. ICML Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. CoRR Cai Zhou, Xiyuan Wang, Muhan Zhang
2019	J	`jnl`	In-Fiber Mach-Zehnder Interferometer Based on Three-Core Fiber for Measurement of Directional Bending. Sensors Lei Ding, Yu Li, Cai Zhou, Min Hu, Yuli Xiong, Zhongliang Zeng