Ji Zhao

Artificial Intelligence · with Meng · 2014

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Statistical Learning Theory — 12 citations into it
• Statistics and Probability — 10 citations into it; #5,969 of 12,932 by trust here, #7,165 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Ji Zhao trusts overall

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

1. Arthur Gretton
2. Bharath K. Sriperumbudur
3. Avrim Blum
4. Marc G. Genton
5. Kenji Fukumizu
6. Ali Rahimi
7. Bernhard Schölkopf
8. Alex Smola
9. Peter J. Bickel
10. Quoc V. Le

Who trusts Ji Zhao overall

1. Christos Louizos
2. Qinyi Zhang
3. Werner Zellinger
4. Beining Han
5. Joris M. Mooij
6. Sarah Filippi
7. Danica J. Sutherland
8. Thomas Grubinger
9. Yujia Li
10. Arthur Gretton

Papers from Ji Zhao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test (2014) — 108 citations