Yizeng Han

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 750 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 332 citations into it; #16,102 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 251 citations into it; #32,370 of 35,345 by trust here, #21,316 by citations
• Model Architectures — 130 citations into it
• Efficiency & Compression — 112 citations into it
• Optimization & Training — 32 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Yizeng Han trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ross B. Girshick
7. Ilya Sutskever
8. Yann LeCun
9. Karen Simonyan
10. Christian Szegedy

Who trusts Yizeng Han overall

1. Yulin Wang
2. Bowen Pan
3. Yaniv Leviathan
4. Youwei Liang
5. Jincheng Dai
6. Rameswar Panda
7. Rui Huang
8. Hengduo Li
9. Shiji Song
10. Matan Kalman

Papers from Yizeng Han's perspective

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

Their papers

• Dynamic Neural Networks: A Survey (2021) — 940 citations
• Resolution Adaptive Networks for Efficient Inference (2020) — 247 citations
• Adaptive Focus for Efficient Video Recognition (2021) — 118 citations
• FLatten Transformer: Vision Transformer using Focused Linear Attention (2023) — 394 citations