Fan Zhou
Optimization & Training · with Cong · 2008–2019
A researcher in the Science corpus: 5 papers; trusts 76 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 44 citations into it; #618 of 2,601 by trust here, #1,298 by citations
- Artificial Intelligence — 31 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Computational Mechanics — 12 citations into it
- Computer Networks and Communications — 8 citations into it
- Management Science and Operations Research — 8 citations into it
- Model Architectures — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Fan Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Kaiming He
- L. Eon Bottou
- Elad Hazan
- Geoffrey E. Hinton
- Andrew Zisserman
- Joseph Dean
- Jia Deng
- Yoshua Bengio
Who trusts Fan Zhou overall
- Jianyu Wang
- Farzin Haddadpour
- Tian Li
- Hao Yu
- Gauri Joshi
- Sebastian U. Stich
- Hong-You Chen
- Anit Kumar Sahu
- Mehrdad Mahdavi
- Anastasia Koloskova
Papers from Fan Zhou's perspective
Ordered by how strongly the researchers Fan Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction (2019) — 8 citations
- ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks (2018) — 334 citations
- On the convergence properties of a K-step averaging stochastic gradient descent algorithm for nonconvex optimization (2017) — 249 citations
- Dietary l‐methionine requirement of juvenile black sea bream (Sparus macrocephalus) at a constant dietary cystine level (2011) — 88 citations
- Synthesis, characterization and catalytic properties of SAPO-34 synthesized using diethylamine as a template (2008) — 180 citations