Guanyu Zhou
Computer Vision and Pattern Recognition · 2012–2013
A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it
- Artificial Intelligence — 20 citations into it
- Representation & Self-Supervised Learning — 18 citations into it; #1,302 of 3,145 by trust here, #1,811 by citations
- Statistical Learning Theory — 6 citations into it
- Optimization & Training — 6 citations into it
- Signal Processing — 6 citations into it
Whom Guanyu Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Hugo Larochelle
- Jerome H. Friedman
- Marc'Aurelio Ranzato
- R. Caruana
- Yann LeCun
- Sebastian Thrun
- Pascal Vincent
Who trusts Guanyu Zhou overall
- Jaehong Yoon
- Fei Ye
- Jiashi Feng
- Martin Mundt
- Yoshua Bengio
- Jaya Krishna Mandivarapu
- Yajing Kong
- Sahar Sohangir
- Saehoon Kim
- Savitha Ramasamy
Papers from Guanyu Zhou's perspective
Ordered by how strongly the researchers Guanyu Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines (2013) — 102 citations
- Online Incremental Feature Learning with Denoising Autoencoders (2012) — 223 citations