Hongrui Zhu

According to our database, Hongrui Zhu authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation.

Junhao Cai, Zetao Cai, Jiafei Cao, Yilun Chen, Zeyu He, Lei Jiang, Hang Li, Hengjie Li, Yang Li, Yufei Liu, Yanan Lu, Qi Lv, Haoxiang Ma, Jiangmiao Pang, Yu Qiao, Zherui Qiu, Yanqing Shen, Xu Shi, Yang Tian, Bolun Wang, Hanqing Wang, Jiaheng Wang, Tai Wang, Xueyuan Wei, Chao Wu, Yiman Xie, Boyang Xing, Yuqiang Yang, Yuyin Yang, Qiaojun Yu, Feng Yuan, Jia Zeng, Jingjing Zhang, Shenghan Zhang, Shi Zhang, Zhuoma Zhaxi, Bowen Zhou, Yuanzhen Zhou, Yunsong Zhou, Hongrui Zhu, Yangkun Zhu, Yuchen Zhu

CoRR, January, 2026

2025

ImitDiff: Transferring Foundation-Model Priors for Distraction-Robust Visuomotor Policy.

Yuhang Dong, Haizhou Ge, Yupei Zeng, Jiangning Zhang, Beiwen Tian, Hongrui Zhu, Yufei Jia, Ruixiang Wang, Zhucun Xue, Guyue Zhou, Longhua Ma, Guanzhong Tian

IEEE Robotics Autom. Lett., November, 2025

Wavelet Policy: Imitation Policy Learning in Frequency Domain with Wavelet Transforms.

Changchuan Yang, Yuhang Dong, Guanzhong Tian, Haizhou Ge, Hongrui Zhu

CoRR, April, 2025

Imit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning.

Yuhang Dong, Haizhou Ge, Yupei Zeng, Jiangning Zhang, Beiwen Tian, Guanzhong Tian, Hongrui Zhu, Yufei Jia, Ruixiang Wang, Ran Yi, Guyue Zhou, Longhua Ma

CoRR, February, 2025

2024

Bridging the Resource Gap: Deploying Advanced Imitation Learning Models Onto Affordable Embedded Platforms.

Haizhou Ge, Ruixiang Wang, Zhu-ang Xu, Hongrui Zhu, Ruichen Deng, Yuhang Dong, Zeyu Pang, Guyue Zhou, Junyu Zhang, Lu Shi

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

2019

Tensor Layout Optimization of Convolution for Inference on Digital Signal Processor.

Xiaoyang Zhang, Junmin Xiao, Xiaobin Zhang, Zhongzhe Hu, Hongrui Zhu, Zhongbo Tian, Guangming Tan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

A Variable Batch Size Strategy for Large Scale Distributed DNN Training.

Zhongzhe Hu, Junmin Xiao, Zhongbo Tian, Xiaoyang Zhang, Hongrui Zhu, Chengji Yao, Ninghui Sun, Guangming Tan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

T2HT : Traffic-Driven Machine Learning Based Hierarchical Topology Generation Model.

Hongrui Zhu, Guojun Yuan, Guangming Tan, Zhan Wang, Tao Jiang, Xuejun An

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019