Liangtian Wan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it
• Graph Learning — 46 citations into it
• Statistical and Nonlinear Physics — 28 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Molecular Biology — 14 citations into it
• Natural Language Processing — 8 citations into it

Whom Liangtian Wan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yann LeCun
6. Ilya Sutskever
7. Max Welling
8. Kaiming He
9. Thomas Kipf
10. Ruslan Salakhutdinov

Papers from Liangtian Wan's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Graph Learning: A Survey (2021) — 510 citations