Rui Zhang

Artificial Intelligence · 3 papers · 2005–2020

A researcher in the Science corpus: 3 papers; trusts 137 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 13 citations into it; #943 of 1,956 by trust here, #1,460 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 7 citations into it
• Efficiency & Compression — 6 citations into it; #570 of 1,264 by trust here, #987 by citations
• Optimization & Training — 6 citations into it
• Signal Processing — 6 citations into it

Whom Rui Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Yoshua Bengio
5. Diederik P. Kingma
6. L. Eon Bottou
7. Karen Simonyan
8. Ilya Sutskever
9. Sepp Hochreiter
10. Kaiming He

Who trusts Rui Zhang overall

1. Linfeng Zhang
2. Seyed Iman Mirzadeh
3. Fei Ye
4. Manish Gupta
5. Divya Saxena
6. Ruishan Liu
7. Mehrdad Farajtabar
8. Hong Chang
9. Xinting Huang

Papers from Rui Zhang's perspective

Ordered by how strongly the researchers Rui Zhang 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation (2020) — 21 citations
• KDGAN: Knowledge Distillation with Generative Adversarial Networks (2018) — 191 citations
• iDistance: An adaptive B+-tree based indexing method for nearest neighbor search (2005) — 643 citations