Zhenming Liu

Artificial Intelligence · with Zhang · 2018

A researcher in the Science corpus: 2 papers; 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 — 13 citations into it

Whom Zhenming Liu 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. Max Welling
7. Daniel D. Johnson
8. Hans-Joachim Böhm
9. Alex Krizhevsky
10. L. V. D. van der Maaten

Who trusts Zhenming Liu overall

1. Nicola De Cao
2. Tânia F Cova

Papers from Zhenming Liu's perspective

Ordered by how strongly the researchers Zhenming Liu 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. Gradient-based learning applied to document recognition
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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multi-objective de novo drug design with conditional graph generative model (2018) — 401 citations
• ETCM: an encyclopaedia of traditional Chinese medicine (2018) — 733 citations