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Xianyan Jia
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2020 – today
- 2024
- [i10]Xinyi Zhang, Hanyu Zhao, Wencong Xiao, Xianyan Jia, Fei Xu, Yong Li, Wei Lin, Fangming Liu:
Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling. CoRR abs/2408.08586 (2024) - 2023
- [c5]Mingzhen Li
, Wencong Xiao
EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs. SC 2023: 55:1-55:14 - [i9]Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin:
TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation. CoRR abs/2302.00247 (2023) - 2022
- [c4]Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin:
Whale: Efficient Giant Model Training over Heterogeneous GPUs. USENIX ATC 2022: 673-688 - [i8]Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin:
EasyScale: Accuracy-consistent Elastic Training for Deep Learning. CoRR abs/2208.14228 (2022) - 2021
- [c3]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [i7]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:
M6: A Chinese Multimodal Pretrainer. CoRR abs/2103.00823 (2021) - [i6]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:
Exploring Sparse Expert Models and Beyond. CoRR abs/2105.15082 (2021) - [i5]Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang:
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR abs/2110.03888 (2021) - 2020
- [i4]Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin:
Whale: A Unified Distributed Training Framework. CoRR abs/2011.09208 (2020)
2010 – 2019
- 2019
- [c2]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:
BigDL: A Distributed Deep Learning Framework for Big Data. SoCC 2019: 50-60 - 2018
- [i3]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:
BigDL: A Distributed Deep Learning Framework for Big Data. CoRR abs/1804.05839 (2018) - [i2]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
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes. CoRR abs/1807.11205 (2018) - 2016
- [c1]Xianyan Jia, Wynne Hsu
Target-Oriented Keyword Search over Temporal Databases. DEXA (1) 2016: 3-19 - [i1]Lahari Poddar, Kishaloy Halder, Xianyan Jia:
Sentiment Analysis for Twitter : Going Beyond Tweet Text. CoRR abs/1611.09441 (2016)
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last updated on 2024-10-01 20:47 CEST by the dblp team
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