Yao Feng

According to our database, Yao Feng authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

MotuBrain: An Advanced World Action Model for Robot Control.

MotuBrain Team, Chendong Xiang, Fan Bao, Haitian Liu, Hengkai Tan, Hongzhe Bi, James Li, Jiabao Liu, Jingrui Pang, Kiro Jing, Louis Liu, Mengchen Cai, Rongxu Cui, Ruowen Zhao, Runqing Wang, Shuhe Huang, Yao Feng, Yinze Rong, Zeyuan Wang, Jun Zhu

CoRR, April, 2026

2025

Vidarc: Embodied Video Diffusion Model for Closed-loop Control.

Yao Feng, Chendong Xiang, Xinyi Mao, Hengkai Tan, Zuyue Zhang, Shuhe Huang, Kaiwen Zheng, Haitian Liu, Hang Su, Jun Zhu

CoRR, December, 2025

Motus: A Unified Latent Action World Model.

Hongzhe Bi, Hengkai Tan, Shenghao Xie, Zeyuan Wang, Shuhe Huang, Haitian Liu, Ruowen Zhao, Yao Feng, Chendong Xiang, Yinze Rong, Hongyan Zhao, Hanyu Liu, Zhizhong Su, Lei Ma, Hang Su, Jun Zhu

CoRR, December, 2025

Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation.

Yao Feng, Hengkai Tan, Xinyi Mao, Guodong Liu, Shuhe Huang, Chendong Xiang, Hang Su, Jun Zhu

CoRR, July, 2025

AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation.

Hengkai Tan, Yao Feng, Xinyi Mao, Shuhe Huang, Guodong Liu, Zhongkai Hao, Hang Su, Jun Zhu

CoRR, July, 2025

Adaptive Shielding via Parametric Safety Proofs.

Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent

Dataset, February, 2025

Adaptive Shielding via Parametric Safety Proofs.

Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent

Proc. ACM Program. Lang., 2025

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning.

Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.

Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

CoRR, 2022

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network.

Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu

CoRR, 2022

2020

Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.

Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly

Proceedings of the 37th International Conference on Machine Learning, 2020

Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods.

Wenjian Yu, Ming Yang, Yao Feng, Ganqu Cui, Ben Gu

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.

Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly

CoRR, 2019