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ORCIDChao Ma 0025
Person information
- affiliation: AWS Shanghai AI Lab, Shanghai, China
Other persons with the same name
- Chao Ma — disambiguation page
- Chao Ma 0001 — Oregon State University, Corvallis, OR, USA
- Chao Ma 0002
![[0000-0002-8675-3737]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8675-3737")
— Nanjing University of Science and Technology, College of Computer Science and Technology, China - Chao Ma 0003 — Henan Polytechnic University, Department of Remote Sensing Science and Technology, Jiaozuo, China
- Chao Ma 0004 — Shanghai Jiao Tong University, AI Institute, MOE Key Lab of Artificial Intelligence, Shanghai, China (and 2 more)
- Chao Ma 0005 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Chao Ma 0006 — Guilin University of Electronic Technology, Key Laboratory of Intelligent Processing of Computer Images and Graphics, China
- Chao Ma 0007 — Harbin Institute of Technology, School of Computer Science and Technology, Biocomputing Research Center, China
- Chao Ma 0008 — Wuhan University, School of Cyber Science and Engineering, Wuhan, China (and 2 more)
- Chao Ma 0009 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Chao Ma 0010 — Zhejiang University, Laboratory of Applied Research on Electromagnetics, Hangzhou, China
- Chao Ma 0011 — University of Science and Technology Beijing, School of Mechanical Engineering, Beijing, China (and 3 more)
- Chao Ma 0012 — Stanford University, Department of Mathematics, Stanford, CA, USA (and 1 more)
- Chao Ma 0013 — Beijing Institute of Technology, School of Mechatronical Engineering, Beijing, China
- Chao Ma 0014 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Chao Ma 0015 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Chao Ma 0016 — People's Liberation Army Strategic Support Force (PLA SSF) Information Engineering University, Zhengzhou, China
- Chao Ma 0017 — Harbin University of Science and Technology, School of Software & Microelectronics, Harbin, China (and 1 more)
- Chao Ma 0018 — Harvard Medical School, Massachusetts General Hospital and Department of Radiology, Gordon Center for Medical Imaging, Boston, MA, USA (and 1 more)
- Chao Ma 0019 — University of Cambridge, Department of Engineering, Cambridge, UK
- Chao Ma 0020 — Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA
- Chao Ma 0021 — Shenzhen Institute of Information Technology, School of Digital Media, Shenzhen, China (and 1 more)
- Chao Ma 0022 — Baidu Talent Intelligence Center, Beijing, China (and 1 more)
- Chao Ma 0023 — Kent State University, Department of Computer Science, Kent, OH, USA
- Chao Ma 0024 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi'an, China
- Chao Ma 0026 — Chengdu University of Technology, Institute of Sedimentary Geology, Chengdu, China (and 1 more)
- Chao Ma 0027 — Second Military Medical University, Department of Radiology, Changhai Hospital of Shanghai, China
- Chao Ma 0028 — Wuhan University, Center for Studies of Information Resources, China
- Chao Ma 0029 — University College London, Department of Computer Science, UK (and 1 more)
- Chao Ma 0030 — Aston University, School of Engineering and Applied Science, Birmingham, UK (and 1 more)
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2020 – today
- 2021
[i4]Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis:
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR abs/2112.15345 (2021)- 2020
- [c2]Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis:
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC 2020: 36-44 - [c1]Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis:
DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR 2020: 739-748 - [i3]Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis:
DGL-KE: Training Knowledge Graph Embeddings at Scale. CoRR abs/2004.08532 (2020) - [i2]Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis:
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR abs/2010.05337 (2020)
2010 – 2019
- 2019
- [i1]Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang:
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR abs/1909.01315 (2019)
Coauthor Index
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