Chao Wang

Materials Chemistry · with He · 2019

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

Subfields

• Materials Chemistry — 10 citations into it
• Physical and Theoretical Chemistry — 7 citations into it

Whom Chao Wang trusts overall

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

1. J. Behler
2. Diederik P. Kingma

Papers from Chao Wang's perspective

Ordered by how strongly the researchers Chao Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. A unified architecture for natural language processing: deep neural networks with multitask learning
4. Large-Scale Video Classification with Convolutional Neural Networks
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. Geometric Deep Learning: Going beyond Euclidean data
10. Long Short-Term Memory

Their papers

• Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective (2019) — 228 citations