Yidong Liao

Materials Chemistry · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 31 citations into it
• Artificial Intelligence — 22 citations into it
• Computational Theory and Mathematics — 15 citations into it
• Computational Chemistry & Drug Discovery — 9 citations into it

Whom Yidong Liao trusts overall

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

1. Johannes Klicpera
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Vijay Prakash Dwivedi
5. Alex Krizhevsky
6. Yoshua Bengio
7. Prajit Ramachandran
8. Ashish Vaswani
9. Diederik P. Kingma
10. Kaiming He

Papers from Yidong Liao's perspective

Ordered by how strongly the researchers Yidong Liao 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations (2023) — 359 citations