Liang Ren Zhang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 14 citations into it
• Computational Chemistry & Drug Discovery — 12 citations into it

Whom Liang Ren Zhang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Yann LeCun
6. Daniel D. Johnson
7. Hans-Joachim Böhm
8. Max Welling
9. Alex Krizhevsky
10. L. V. D. van der Maaten

Who trusts Liang Ren Zhang overall

1. Nicola De Cao
2. Tânia F Cova
3. Jaehyeong Jo
4. Chenhao Niu

Papers from Liang Ren Zhang's perspective

Ordered by how strongly the researchers Liang Ren Zhang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multi-objective de novo drug design with conditional graph generative model (2018) — 401 citations