Fan Zhou

Artificial Intelligence · with Cao · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #14,542 of 35,345 by trust here, #30,347 by citations
• Graph Learning — 26 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it; #9,404 of 21,575 by trust here, #20,271 by citations
• Molecular Biology — 8 citations into it
• Meta & Continual Learning — 7 citations into it
• Model Architectures — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Fan Zhou trusts overall

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

1. Diederik P. Kingma
2. Arun Mallya
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Thomas Kipf
6. Alex Krizhevsky
7. Max Welling
8. Zhizhong Li
9. Yann LeCun
10. Pang Wei Koh

Who trusts Fan Zhou overall

1. Xikun Zhang
2. Seoyoon Kim
3. Zhen Tan
4. Chen Wang
5. Dongjin Song
6. Seongjun Yun
7. Kaize Ding
8. Yuheng Qiu
9. Dacheng Tao
10. Jaewoo Kang

Papers from Fan Zhou's perspective

Ordered by how strongly the researchers Fan Zhou 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. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay (2021) — 192 citations
• Continual Graph Learning (2020) — 10 citations