Weiguang Ding

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 121 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #19,548 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 12 citations into it
• Optimization & Training — 7 citations into it

Whom Weiguang Ding trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. David G. Lowe
5. Yoshua Bengio
6. Ilya Sutskever
7. L. Eon Bottou
8. John F. Canny
9. Xavier Glorot
10. David E. Rumelhart

Who trusts Weiguang Ding overall

1. Jia-Nan Wu
2. Orhan Firat
3. Wenbin Du
4. Vijaypal Singh Dhaka
5. Soheil Bahrampour
6. Kyunghyun Cho
7. Yali Wang
8. Sangeeta Vaibhav Meena
9. Naveen Ramakrishnan

Papers from Weiguang Ding's perspective

Ordered by how strongly the researchers Weiguang Ding 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Theano-based Large-Scale Visual Recognition with Multiple GPUs (2014) — 46 citations
• Automatic moth detection from trap images for pest management (2016) — 340 citations