Qiang Huang

Artificial Intelligence · with Chang · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it

Whom Qiang Huang trusts overall

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

1. Matthew D. Zeiler
2. David Martens
3. Jianfei Chen
4. Geoffrey E. Hinton
5. Arthur Gretton
6. William L. Hamilton
7. Yoshua Bengio
8. Avanti Shrikumar
9. Mukund Sundararajan
10. Rob Fergus

Who trusts Qiang Huang overall

1. Hao Yuan
2. Siqi Miao
3. Alaa Bessadok
4. Lev V. Utkin
5. Ahmad Chaddad
6. Haiyang Yu
7. Thomas Schnake
8. Xuhong Li
9. Miaoyuan Liu
10. Mohamed Ali Mahjoub

Papers from Qiang Huang's perspective

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

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

Their papers

• GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks (2020) — 484 citations