Tian Xie

Materials Chemistry · with Grossman · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 51 citations into it; #1,117 of 11,513 by trust here, #5,258 by citations
• AI for Physical Sciences — 8 citations into it

Whom Tian Xie trusts overall

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

1. Felix A. Faber
2. J. Behler
3. Kristof T. Schütt
4. Anubhav Jain
5. Geoffrey E. Hinton

Who trusts Tian Xie overall

1. Kamal Choudhary
2. Chi Chen
3. Chen Cai
4. Xianglin Liu
5. Rohit Batra
6. Fan-Yun Sun
7. Peter Bjørn Jørgensen
8. Wei Ma
9. Brian L. DeCost
10. J. A. Flores-Livas

Papers from Tian Xie's perspective

Ordered by how strongly the researchers Tian Xie 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. I and J
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties. (2017) — 2,097 citations
• Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks (2018) — 72 citations