Xianyan Jia

According to our database, Xianyan Jia authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

2023

TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation.

Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin

CoRR, 2023

EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs.

Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2023

2022

EasyScale: Accuracy-consistent Elastic Training for Deep Learning.

Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin

CoRR, 2022

Whale: Efficient Giant Model Training over Heterogeneous GPUs.

Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.

Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang

CoRR, 2021

Exploring Sparse Expert Models and Beyond.

An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

CoRR, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Whale: A Unified Distributed Training Framework.

Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin

CoRR, 2020

2019

BigDL: A Distributed Deep Learning Framework for Big Data.

Jason Jinquan Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Li Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes.

Xianyan Jia, Shutao Song, Wei He, Yangzihao Wang, Haidong Rong, Feihu Zhou, Liqiang Xie, Zhenyu Guo, Yuanzhou Yang, Liwei Yu, Tiegang Chen, Guangxiao Hu, Shaohuai Shi, Xiaowen Chu

CoRR, 2018

2016

Sentiment Analysis for Twitter : Going Beyond Tweet Text.

Lahari Poddar, Kishaloy Halder, Xianyan Jia

CoRR, 2016

Target-Oriented Keyword Search over Temporal Databases.

Xianyan Jia, Wynne Hsu, Mong-Li Lee

Proceedings of the Database and Expert Systems Applications, 2016