Jichan Chung

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #25,761 of 35,345 by trust here, #20,836 by citations
• Federated & Distributed Learning — 15 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Computational Mechanics — 5 citations into it

Whom Jichan Chung trusts overall

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

1. Alex Krizhevsky
2. Martin J. Wainwright
3. R. Caruana
4. Yann LeCun
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Mehryar Mohri
8. Prateek Jain
9. Praneeth Netrapalli
10. Ian J. Goodfellow

Who trusts Jichan Chung overall

1. Yue Tan
2. Guodong Long
3. Alysa Ziying Tan
4. Qinbin Li
5. Mang Ye

Papers from Jichan Chung's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• An Efficient Framework for Clustered Federated Learning (2020) — 1,254 citations