Huan Wang

Computer Vision and Pattern Recognition · with Liu · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Control and Systems Engineering — 19 citations into it
• Mechanical Engineering — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Huan Wang trusts overall

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

1. Geoffrey E. Hinton
2. Xavier Glorot
3. Yoshua Bengio
4. L. V. D. van der Maaten
5. Xuewu Dai
6. Gaoliang Peng
7. Xiaojie Guo
8. Zhike Peng
9. Wei Zhang
10. Kaiming He

Papers from Huan Wang's perspective

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

Their papers

• Deep learning in ECG diagnosis: A review (2021) — 410 citations
• Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis (2020) — 424 citations