Chong Wang

Artificial Intelligence · with Jiang · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 341 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it; #30,598 of 35,345 by trust here, #19,018 by citations
• Computer Vision and Pattern Recognition — 54 citations into it
• Graph Learning — 25 citations into it; #612 of 693 by trust here, #505 by citations
• Natural Language Processing — 23 citations into it
• Model Architectures — 21 citations into it
• Representation & Self-Supervised Learning — 17 citations into it; #2,780 of 3,145 by trust here, #2,355 by citations
• Efficiency & Compression — 10 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Chong Wang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Karen Simonyan
6. Ilya Sutskever
7. Diederik P. Kingma
8. Yann LeCun
9. Jimmy Ba
10. Christian Szegedy

Who trusts Chong Wang overall

1. Hongwei Wang
2. Shaked Brody
3. Yongxin Wang

Papers from Chong Wang's perspective

Ordered by how strongly the researchers Chong Wang 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification (2017) — 26 citations
• Attention-based Graph Neural Network for Semi-supervised Learning (2018) — 386 citations
• Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing (2019) — 37 citations