Zhourung Chen

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #25,133 of 35,345 by trust here, #31,361 by citations
• Computer Vision and Pattern Recognition — 17 citations into it; #15,455 of 21,575 by trust here, #19,766 by citations
• Scaling & Learning Theory — 8 citations into it
• Statistical Learning Theory — 6 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Zhourung Chen trusts overall

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

1. Michalis K. Titsias
2. Geoffrey E. Hinton
3. Christopher K. I. Williams
4. Roman Novak
5. Alex Krizhevsky
6. Yoshua Bengio
7. Sanjeev Arora
8. Diederik P. Kingma
9. Oriol Vinyals
10. Yann LeCun

Who trusts Zhourung Chen overall

1. Bo Zhao
2. Hakan Bilen
3. Timothy Nguyen
4. George Cazenavette

Papers from Zhourung Chen's perspective

Ordered by how strongly the researchers Zhourung 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. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
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

• Dataset Meta-Learning from Kernel Ridge-Regression (2020) — 326 citations