Jinzhe Zhang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Computational Chemistry & Drug Discovery — 5 citations into it

Whom Jinzhe Zhang trusts overall

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

1. David Weininger
2. Diederik P. Kingma
3. Peter Ertl
4. Matt J. Kusner
5. Marwin H. S. Segler
6. Jimmy Ba
7. Kyunghyun Cho

Who trusts Jinzhe Zhang overall

1. Peter Ertl

Papers from Jinzhe Zhang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• ChemTS: an efficient python library for de novo molecular generation (2017) — 257 citations