Rui Heng Yang

According to our database, Rui Heng Yang authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

How VLAs (Really) Work In Open-World Environments.

Amir Rasouli, Yangzheng Wu, Zhiyuan Li, Rui Heng Yang, Xuan Zhao, Charles Eret, Sajjad Pakdamansavoji

CoRR, April, 2026

Do World Action Models Generalize Better than VLAs? A Robustness Study.

Zhanguang Zhang, Zhiyuan Li, Behnam Rahmati, Rui Heng Yang, Yintao Ma, Amir Rasouli, Sajjad Pakdamansavoji, Yangzheng Wu, Lingfeng Zhang, Tongtong Cao, Feng Wen, Xinyu Wang, Xingyue Quan, Yingxue Zhang

CoRR, March, 2026

2025

Improving Robotic Manipulation Robustness via NICE Scene Surgery.

Sajjad Pakdamansavoji, Mozhgan Pourkeshavarz, Adam Sigal, Zhiyuan Li, Rui Heng Yang, Amir Rasouli

CoRR, November, 2025

CAPE: Context-Aware Diffusion Policy Via Proximal Mode Expansion for Collision Avoidance.

Rui Heng Yang, Xuan Zhao, Leo Maxime Brunswic, Montgomery Alban, Mateo Clémente, Tongtong Cao, Jun Jin, Amir Rasouli

CoRR, November, 2025

HIPPo: Harnessing Image-to-3D Priors for Model-Free Zero-Shot 6D Pose Estimation.

Yibo Liu, Zhaodong Jiang, Binbin Xu, Guile Wu, Yuan Ren, Tongtong Cao, Bingbing Liu, Rui Heng Yang, Amir Rasouli, Jinjun Shan

IEEE Robotics Autom. Lett., August, 2025

Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising.

Mateo Clémente, Leo Maxime Brunswic, Rui Heng Yang, Xuan Zhao, Yasser H. Khalil, Haoyu Lei, Amir Rasouli, Yinchuan Li

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

RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning.

Xi Ye, Rui Heng Yang, Jun Jin, Yinchuan Li, Amir Rasouli

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Ergodic Generative Flows.

Leo Maxime Brunswic, Mateo Clémente, Rui Heng Yang, Adam Sigal, Amir Rasouli, Yinchuan Li

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

2023

DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

CoRR, 2022

Low-bit Shift Network for End-to-End Spoken Language Understanding.

Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2020

Tensor train decompositions on recurrent networks.

Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia

CoRR, 2020