Lei Chen

Artificial Intelligence · with Hong · 2020

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

• Artificial Intelligence — 20 citations into it
• Graph Learning — 12 citations into it
• Information Systems — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Lei Chen trusts overall

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

1. Thomas Kipf
2. Max Welling
3. Xiangnan He
4. Geoffrey E. Hinton
5. Kaiming He
6. William L. Hamilton
7. Diederik P. Kingma
8. Nathan Nan Liu
9. Yoshua Bengio
10. Steffen Rendle

Who trusts Lei Chen overall

1. Le Wu
2. Lianghao Xia
3. Shiwen Wu
4. Xuheng Cai
5. Chao Huang
6. Kelong Mao
7. Xin Wang
8. Xiangnan He
9. Fei Sun

Papers from Lei Chen's perspective

Ordered by how strongly the researchers Lei Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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

• Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach (2020) — 654 citations