Jinchi Huang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #31,160 of 35,345 by trust here, #29,412 by citations
• Computer Vision and Pattern Recognition — 11 citations into it; #19,182 of 21,575 by trust here, #18,782 by citations

Whom Jinchi Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Oriol Vinyals
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. X. Zhang
7. Shaoqing Ren
8. Yann LeCun
9. Diederik P. Kingma
10. Tong Xiao

Who trusts Jinchi Huang overall

1. Görkem Algan
2. Hwanjun Song
3. Ilkay Ulusoy
4. Minseok Kim

Papers from Jinchi Huang's perspective

Ordered by how strongly the researchers Jinchi Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks (2019) — 283 citations