Shiqi Wang

Computer Vision and Pattern Recognition · with Kot · 2018

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #8,339 of 21,575 by trust here, #7,340 by citations
• Artificial Intelligence — 24 citations into it; #12,629 of 35,345 by trust here, #10,430 by citations
• Representation & Self-Supervised Learning — 20 citations into it; #1,436 of 3,145 by trust here, #1,370 by citations
• Generative Models — 6 citations into it

Whom Shiqi Wang trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Yann LeCun
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Arthur Gretton
8. Ilya Sutskever
9. Jimmy Ba
10. Li Fei-Fei

Who trusts Shiqi Wang overall

1. Kaiyang Zhou
2. Fabio Maria Carlucci
3. Haohan Wang
4. Yongxin Yang
5. Yusuke Iwasawa

Papers from Shiqi Wang's perspective

Ordered by how strongly the researchers Shiqi 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. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Domain Generalization with Adversarial Feature Learning (2018) — 1,510 citations