Honglun Zhang

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 287 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #19,513 of 21,575 by trust here, #15,529 by citations
• Generative Models — 24 citations into it
• Artificial Intelligence — 18 citations into it
• Natural Language Processing — 13 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 9 citations into it

Whom Honglun Zhang trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Kaiming He
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. Xavier Glorot
10. Alex Graves

Who trusts Honglun Zhang overall

1. Guoyin Wang
2. Jonas Oppenlaender

Papers from Honglun Zhang's perspective

Ordered by how strongly the researchers Honglun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Towards Real-World Blind Face Restoration with Generative Facial Prior (2021) — 644 citations
• Multi-Task Label Embedding for Text Classification (2017) — 101 citations