Li Li

Scientific Reports · with Kearnes · 2018

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Who trusts Li Li overall

1. Kenneth Atz

Papers from Li Li's perspective

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

1. Group Equivariant Convolutional Networks
2. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
3. 3D ShapeNets: A deep representation for volumetric shapes
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
6. Steerable CNNs
7. Harmonic Networks: Deep Translation and Rotation Equivariance
8. ImageNet classification with deep convolutional neural networks
9. On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
10. Quantum chemistry structures and properties of 134 kilo molecules

Their papers

• Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds (2018) — 1,225 citations
• Optimization of Molecules via Deep Reinforcement Learning (2018) — 665 citations