Ye Wang

Artificial Intelligence · with Wang · 2014

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it; #6,269 of 21,575 by trust here, #11,498 by citations
• Information Systems — 7 citations into it
• Signal Processing — 6 citations into it; #1,501 of 7,572 by trust here, #2,816 by citations

Whom Ye Wang trusts overall

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

1. Geoffrey E. Hinton
2. Ruslan Salakhutdinov
3. Yoshua Bengio
4. Honglak Lee
5. Yann LeCun
6. Feng Niu
7. Deepak K. Agarwal
8. Philippe Hamel
9. Alex Krizhevsky
10. Radford M. Neal

Who trusts Ye Wang overall

1. Hao Wang
2. Aminu Da’u
3. Dawen Liang
4. Sheng Li
5. Trapit Bansal
6. Xiangnan He
7. Yongfeng Zhang
8. Carl Yang
9. Xuemeng Song
10. Dit-Yan Yeung

Papers from Ye Wang's perspective

Ordered by how strongly the researchers Ye 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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improving Content-based and Hybrid Music Recommendation using Deep Learning (2014) — 373 citations