Haipeng Wang

Computer Vision and Pattern Recognition · IEEE Transactions on Geoscience and Remote Sensing · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 16 citations into it
• Optimization & Training — 6 citations into it
• Aerospace Engineering — 5 citations into it; #1,859 of 6,421 by trust here, #2,580 by citations
• Environmental Engineering — 5 citations into it

Whom Haipeng Wang trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Radford M. Neal
7. L. Eon Bottou
8. Xavier Glorot
9. David E. Rumelhart
10. Kaiming He

Who trusts Haipeng Wang overall

1. Xiaoxiang Zhu
2. Siwei Yu
3. Zhimian Zhang
4. Mohammad Rostami
5. Jianwei Ma
6. Zhongling Huang
7. Sina Montazeri
8. Lichao Mou
9. Grant J. Scott
10. Feng Xu

Papers from Haipeng Wang's perspective

Ordered by how strongly the researchers Haipeng 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification (2017) — 604 citations
• Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks (2016) — 450 citations
• Target Classification Using the Deep Convolutional Networks for SAR Images (2016) — 1,187 citations