Hongxiang Hao

According to our database, Hongxiang Hao authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

Unleashing Scalable Context Parallelism for Foundation Models Pre-Training via FCP.

Yilong Zhao, Xiaonan Nie, Kan Zhu, Shuang Ma, Zhichao Lai, Hongxiang Hao, Yang Zhou, Baris Kasikci, Ion Stoica

CoRR, May, 2026

2025

Goku: Flow Based Video Generative Foundation Models.

Shoufa Chen, Chongjian Ge, Yuqi Zhang, Yida Zhang, Fengda Zhu, Hao Yang, Hongxiang Hao, Hui Wu, Zhichao Lai, Yifei Hu, Ting-Che Lin, Shilong Zhang, Fu Li, Chuan Li, Xing Wang, Yanghua Peng, Peize Sun, Ping Luo, Yi Jiang, Zehuan Yuan, Bingyue Peng, Xiaobing Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services.

Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, HuaChao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong

IEEE Trans. Serv. Comput., 2024

2023

Image Moment Invariants to Rotational Motion Blur.

Hanlin Mo, Hongxiang Hao, Guoying Zhao

CoRR, 2023

2022

SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System.

Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma

CoRR, 2022

2021

Geometric moment invariants to spatial transform and <i>N</i>-fold symmetric blur.

Hanlin Mo, Hongxiang Hao, Hua Li

Pattern Recognit., 2021

Geometric Moment Invariants to Motion Blur.

Hongxiang Hao, Hanlin Mo, Hua Li

CoRR, 2021

2020

Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition.

Qi Li, Hanlin Mo, Jinghan Zhao, Hongxiang Hao, Hua Li

CoRR, 2020