Chen Wang

Artificial Intelligence · with Lu · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Graph Learning — 9 citations into it

Whom Chen Wang trusts overall

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

1. Olcay Boz
2. Matthew D. Zeiler
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Thomas Kipf
6. Yann LeCun
7. Mark W. Craven
8. Ming Liang
9. Yoshua Bengio
10. Lada A. Adamic

Who trusts Chen Wang overall

1. Marinka Zitnik
2. Wei Jin

Papers from Chen Wang's perspective

Ordered by how strongly the researchers Chen 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Cadec: A corpus of adverse drug event annotations (2015) — 298 citations
• Adversarial Examples on Graph Data: Deep Insights into Attack and Defense (2019) — 514 citations
• Interpreting Shared Deep Learning Models via Explicable Boundary Trees (2017) — 6 citations