Hao Luo

According to our database, Hao Luo authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

Being-H0.7: A Latent World-Action Model from Egocentric Videos.

Hao Luo, Wanpeng Zhang, Yicheng Feng, Sipeng Zheng, Haiweng Xu, Chaoyi Xu, Ziheng Xi, Yuhui Fu, Zongqing Lu

CoRR, May, 2026

Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models.

Haiweng Xu, Sipeng Zheng, Hao Luo, Wanpeng Zhang, Ziheng Xi, Zongqing Lu

CoRR, April, 2026

OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data.

Bin Cao, Sipeng Zheng, Hao Luo, Boyuan Li, Jing Liu, Zongqing Lu

CoRR, March, 2026

Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting.

Wanpeng Zhang, Hao Luo, Sipeng Zheng, Yicheng Feng, Haiweng Xu, Ziheng Xi, Chaoyi Xu, Haoqi Yuan, Zongqing Lu

CoRR, March, 2026

Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild.

Hao Luo, Ye Wang, Wanpeng Zhang, Haoqi Yuan, Yicheng Feng, Haiweng Xu, Sipeng Zheng, Zongqing Lu

CoRR, February, 2026

Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization.

Ye Wang, Sipeng Zheng, Hao Luo, Wanpeng Zhang, Haoqi Yuan, Chaoyi Xu, Haiweng Xu, Yicheng Feng, Mingyang Yu, Zhiyu Kang, Zongqing Lu, Qin Jin

CoRR, February, 2026

Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization.

Hao Luo, Ye Wang, Wanpeng Zhang, Sipeng Zheng, Ziheng Xi, Chaoyi Xu, Haiweng Xu, Haoqi Yuan, Chi Zhang, Yiqing Wang, Yicheng Feng, Zongqing Lu

CoRR, January, 2026

2025

Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos.

Yicheng Feng, Wanpeng Zhang, Ye Wang, Hao Luo, Haoqi Yuan, Sipeng Zheng, Zongqing Lu

CoRR, December, 2025

DiG-Flow: Discrepancy-Guided Flow Matching for Robust VLA Models.

Wanpeng Zhang, Ye Wang, Hao Luo, Haoqi Yuan, Yicheng Feng, Sipeng Zheng, Qin Jin, Zongqing Lu

CoRR, December, 2025

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos.

Hao Luo, Yicheng Feng, Wanpeng Zhang, Sipeng Zheng, Ye Wang, Haoqi Yuan, Jiazheng Liu, Chaoyi Xu, Qin Jin, Zongqing Lu

CoRR, July, 2025

Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer.

Hao Luo, Zongqing Lu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unified Multimodal Understanding via Byte-Pair Visual Encoding.

Wanpeng Zhang, Yicheng Feng, Hao Luo, Yijiang Li, Zihao Yue, Sipeng Zheng, Zongqing Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

VideoOrion: Tokenizing Object Dynamics in Videos.

Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Hao Luo, Zihao Yue, Zongqing Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Pre-trained Visual Dynamics Representations for Efficient Policy Learning.

Hao Luo, Bohan Zhou, Zongqing Lu

Proceedings of the Computer Vision - ECCV 2024, 2024

Reinforcement Learning Friendly Vision-Language Model for Minecraft.

Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A Survey on Transformers in Reinforcement Learning.

Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye

Trans. Mach. Learn. Res., 2023

CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft.

Ziluo Ding, Hao Luo, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu

CoRR, 2023

Model-Based Decentralized Policy Optimization.

Hao Luo, Jiechuan Jiang, Zongqing Lu

CoRR, 2023