Zhuang Wang

Artificial Intelligence · 2012

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Optimization & Training — 11 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Zhuang Wang trusts overall

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

1. Koby Crammer
2. C. Burges
3. Yoram Singer
4. Tong Zhang
5. Antoine Bordes
6. Martin A. Zinkevich
7. L. Eon Bottou
8. Vladimir Naumovich Vapnik
9. Corinna Cortes
10. Shai Shalev-Shwartz

Who trusts Zhuang Wang overall

1. Zoltán Szabó
2. Steven C. H. Hoi
3. Heitor Murilo Gomes
4. Tu Dinh Nguyen
5. Guosheng Lin
6. Francis R. Bach
7. Bharath K. Sriperumbudur
8. Doyen Sahoo
9. Jean Paul Barddal
10. Trung Le

Papers from Zhuang Wang's perspective

Ordered by how strongly the researchers Zhuang Wang 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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. Going deeper with convolutions

Their papers

• Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training (2012) — 200 citations
• Mixture Model for Multiple Instance Regression and Applications in Remote Sensing (2012) — 55 citations