Hong Ren Wu

IEEE Signal Processing Letters · 2001–2020

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Who trusts Hong Ren Wu overall

1. Yiqiu Dong
2. Kenny Kal Vin Toh
3. Raymond H. Chan
4. Shufang Xu
5. Nor Ashidi Mat Isa

Papers from Hong Ren Wu's perspective

Ordered by how strongly the researchers Hong Ren Wu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Progressive learning: A deep learning framework for continual learning (2020) — 85 citations
• Space variant median filters for the restoration of impulse noise corrupted images (2001) — 442 citations
• Adaptive impulse detection using center-weighted median filters (2001) — 840 citations