Bin Zhang

Artificial Intelligence · with Gan · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #10,043 of 35,345 by trust here, #8,706 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #6,959 of 21,575 by trust here, #6,206 by citations
• Representation & Self-Supervised Learning — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Bin Zhang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Max Welling
5. X. Zhang
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Shaoqing Ren
10. R. M. French

Who trusts Bin Zhang overall

1. Da-Wei Zhou
2. Jiangpeng He
3. Fei Mi
4. Guile Wu
5. Han-Jia Ye
6. Arthur Douillard
7. Feng Zhu
8. Shipeng Yan
9. Fu-Yun Wang

Papers from Bin Zhang's perspective

Ordered by how strongly the researchers Bin Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet Large Scale Visual Recognition Challenge
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Maintaining Discrimination and Fairness in Class Incremental Learning (2019) — 560 citations