Weibao Gong

According to our database, Weibao Gong authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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

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

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters.

Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu

CoRR, 2022

2021

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Shuohuan Wang, Yu Sun, Yang Xiang, Zhihua Wu, Siyu Ding, Weibao Gong, Shikun Feng, Junyuan Shang, Yanbin Zhao, Chao Pang, Jiaxiang Liu, Xuyi Chen, Yuxiang Lu, Weixin Liu, Xi Wang, Yangfan Bai, Qiuliang Chen, Li Zhao, Shiyong Li, Peng Sun, Dianhai Yu, Yanjun Ma, Hao Tian, Hua Wu, Tian Wu, Wei Zeng, Ge Li, Wen Gao, Haifeng Wang

CoRR, 2021

End-to-end Adaptive Distributed Training on PaddlePaddle.

Yulong Ao, Zhihua Wu, Dianhai Yu, Weibao Gong, Zhiqing Kui, Minxu Zhang, Zilingfeng Ye, Liang Shen, Yanjun Ma, Tian Wu, Haifeng Wang, Wei Zeng, Chao Yang

CoRR, 2021

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2021

Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources.

Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021