Zhenglei Zhou

According to our database, Zhenglei Zhou authored at least 8 papers between 2017 and 2025.

Collaborative distances:

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

2025

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs.

Ling Team, Bin Hu, Cai Chen, Deng Zhao, Ding Liu, Dingnan Jin, Feng Zhu, Hao Dai, Hongzhi Luan, Jia Guo, Jiaming Liu, Jiewei Wu, Jun Mei, Jun Zhou, Junbo Zhao, Junwu Xiong, Kaihong Zhang, Kuan Xu, Lei Liang, Liang Jiang, Liangcheng Fu, Longfei Zheng, Qiang Gao, Qing Cui, Quan Wan, Shaomian Zheng, Shuaicheng Li, Tongkai Yang, Wang Ren, Xiaodong Yan, Xiaopei Wan, Xiaoyun Feng, Xin Zhao, Xinxing Yang, Xinyu Kong, Xuemin Yang, Yang Li, Yingting Wu, Yongkang Liu, Zhankai Xu, Zhenduo Zhang, Zhenglei Zhou, Zhenyu Huang, Zhiqiang Zhang, Zihao Wang, Zujie Wen

CoRR, June, 2025

FlexRLHF: A Flexible Placement and Parallelism Framework for Efficient RLHF Training.

Youshao Xiao, Zhenglei Zhou, Fagui Mao, Weichang Wu, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.

Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou

CoRR, 2024

Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models.

Hanxiao Zhang, Lin Ju, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou, Zhiming Fan, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.

Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training.

Youshao Xiao, Weichang Wu, Zhenglei Zhou, Fagui Mao, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou

CoRR, 2023

G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.

Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2017

Volume upscaling with convolutional neural networks.

Zhenglei Zhou, Yule Hou, Qirui Wang, Guangxiang Chen, Jiawei Lu, Yubo Tao, Hai Lin

Proceedings of the Computer Graphics International Conference, 2017