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ORCIDPing Gong 0009
Person information
- affiliation: University of Science and Technology of China, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China
Other persons with the same name
- Ping Gong — disambiguation page
- Ping Gong 0001 — U.S. Army Engineer Research and Development Center, Vicksburg, MS, USA (and 2 more)
- Ping Gong 0002 — Deepwise AI Lab, Beijing, China
- Ping Gong 0003
![[0000-0002-0945-5306]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0945-5306")
— Xuzhou Medical University, Xuzhou, China (and 1 more) - Ping Gong 0004 — Fujian Normal University, Fuzhou, China
- Ping Gong 0005 — South China Normal University, Guangzhou, China (and 1 more)
- Ping Gong 0006 — Mayo Clinic, Rochester, MN, USA
- Ping Gong 0007 — Columbia University, NY, USA
- Ping Gong 0008 — Beijing University of Posts and Telecommunications, Beijing, China
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2020 – today
- 2023
[c2]Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li:
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP 2023: 562-578- [i2]Ping Gong, Yuxin Ma, Cheng Li, Xiaosong Ma, Sam H. Noh:
Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks. CoRR abs/2304.08925 (2023) - 2022
- [i1]Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan:
BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR abs/2207.14696 (2022) - 2021
- [c1]Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu:
Gradient Compression Supercharged High-Performance Data Parallel DNN Training. SOSP 2021: 359-375
Coauthor Index
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