Wei-Lun Chen

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #19,352 of 21,575 by trust here, #18,266 by citations
• Model Architectures — 6 citations into it

Whom Wei-Lun Chen trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Yoshua Bengio
4. Simon S. Haykin
5. Alex Krizhevsky
6. Zhiguang Wang
7. Simon Osindero
8. Radford M. Neal
9. Ilya Sutskever
10. Ruslan Salakhutdinov

Who trusts Wei-Lun Chen overall

1. A. Ozbayoglu
2. Omer Berat Sezer
3. Rahul Katarya
4. Ze Hu
5. Yu-Ying Chen

Papers from Wei-Lun Chen's perspective

Ordered by how strongly the researchers Wei-Lun Chen 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. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
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

• Financial Time-Series Data Analysis Using Deep Convolutional Neural Networks (2016) — 146 citations
• Developing Arbitrage Strategy in High-frequency Pairs Trading with Filterbank CNN Algorithm (2018) — 20 citations