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ORCIDFan Zhou 0010
Person information
- affiliation: Baidu Research, Bellevue, WA, USA
- affiliation (PhD 2018): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Fan Zhou — disambiguation page
- Fan Zhou 0001
![[0000-0002-0400-9366]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0400-9366")
— Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China - Fan Zhou 0002 — University of Electronic Science and Technology of China, Chengdu, China
- Fan Zhou 0003 — University of North Carolina at Chapel Hill, Department of Biostatistics, NC, USA
- Fan Zhou 0004 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, China
- Fan Zhou 0005 — Japan Advanced Institute of Science and Technology, School of Information Science, Ishikawa, Japan
- Fan Zhou 0006 — Université Laval, Québec, Canada
- Fan Zhou 0007 — Zhejiang University, Institute of Advanced Digital Technology and Instrumentation, Embedded System Engineering Research Center, Hangzhou, China (and 1 more)
- Fan Zhou 0008 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Fan Zhou 0009 — Changchun University of Technology, Department of Control Science and Engineering, Changchun, China
- Fan Zhou 0011 — Shenyang Ligong University, School of Information Science and Engineering, Shenzang, China
- Fan Zhou 0012 — Ant Group
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2010 – 2019
- 2019
[j1]Guojing Cong, Giacomo Domeniconi, Chih-Chieh Yang, Joshua Shapiro, Fan Zhou, Barry Chen:
Fast neural network training on a cluster of GPUs for action recognition with high accuracy. J. Parallel Distributed Comput. 134: 153-165 (2019)- [c4]Guojing Cong, Chih-Chieh Yang, Fan Zhou:
Reducing global reductions in large-scale distributed training. ICPP Workshops 2019: 22:1-22:9 - [i2]Fan Zhou, Guojing Cong:
A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction. CoRR abs/1903.05133 (2019) - 2018
- [c3]Fan Zhou, Guojing Cong:
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization. IJCAI 2018: 3219-3227 - [c2]Guojing Cong, Giacomo Domeniconi, Joshua Shapiro, Fan Zhou, Barry Chen:
Accelerating Deep Neural Network Training for Action Recognition on a Cluster of GPUs. SBAC-PAD 2018: 298-305 - 2017
- [c1]Guojing Cong, Brian Kingsbury, Soumyadip Gosh, George Saon, Fan Zhou:
Accelerating deep neural network learning for speech recognition on a cluster of GPUs. MLHPC@SC 2017: 3:1-3:8 - [i1]Fan Zhou, Guojing Cong:
On the convergence properties of a K-step averaging stochastic gradient descent algorithm for nonconvex optimization. CoRR abs/1708.01012 (2017)
Coauthor Index
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