Pak-Ming Cheung

Artificial Intelligence · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Statistical Learning Theory — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Pak-Ming Cheung trusts overall

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

1. Alex Smola
2. Olivier Chapelle
3. Bernhard Schölkopf
4. Oded Maron
5. Jun Wang
6. Yixin Chen
7. Thomas G. Dietterich
8. Olvi L. Mangasarian
9. Vladimir Naumovich Vapnik
10. Koji Tsuda

Who trusts Pak-Ming Cheung overall

1. Zhi-Hua Zhou
2. Wentao Zhu
3. Martin Jaggi
4. Bernd Gärtner
5. Ozan Sener
6. Ilia Sucholutsky
7. Hua Ouyang
8. Ali Rahimi

Papers from Pak-Ming Cheung's perspective

Ordered by how strongly the researchers Pak-Ming Cheung 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Marginalized Multi-Instance Kernels (2007) — 66 citations
• Core Vector Machines: Fast SVM Training on Very Large Data Sets (2005) — 1,123 citations