Junda Feng

According to our database, Junda Feng authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

MegaScale-Data: Scaling DataLoader for Multisource Large Foundation Model Training.

Juntao Zhao, Qi Lu, Wei Jia, Borui Wan, Lei Zuo, Junda Feng, Jianyu Jiang, Yangrui Chen, Shuaishuai Cao, Jialing He, Kaihua Jiang, Yuanzhe Hu, Shibiao Nong, Yanghua Peng, Haibin Lin, Chuan Wu

Proceedings of the 21st European Conference on Computer Systems, 2026

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production.

Chunyu Xue, Yangrui Chen, Jianyu Jiang, Ningxin Zheng, Junda Feng, Jingji Chen, Shixiong Zhao, Shen Yan, Yi Lin, Lei Shi, Zanbo Wang, Lishu Luo, Faming Wu, Haibin Lin, Yanghua Peng, Xin Liu, Quan Chen

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training.

Juntao Zhao, Qi Lu, Wei Jia, Borui Wan, Lei Zuo, Junda Feng, Jianyu Jiang, Yangrui Chen, Shuaishuai Cao, Jialing He, Kaihua Jiang, Yuanzhe Hu, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu

CoRR, April, 2025

ByteScale: Efficient Scaling of LLM Training with a 2048K Context Length on More Than 12,000 GPUs.

Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu

CoRR, February, 2025

ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs.

Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu

Proceedings of the ACM SIGCOMM 2025 Conference, 2025

2023

LKDPNet: Large-Kernel Depthwise-Pointwise convolution neural network in estimating coal ash content via data augmentation.

Kanghui Zhang, Weidong Wang, Ziqi Lv, Junda Feng, Huixuan Li, Chenglian Zhang

Appl. Soft Comput., September, 2023