Kehang Han

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Generative Models — 27 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Kehang Han trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Aäron van den Oord
4. Geoffrey E. Hinton
5. Tim Salimans
6. Yoshua Bengio
7. Alex Krizhevsky
8. Tero Karras
9. Kaiming He
10. Yann LeCun

Papers from Kehang Han's perspective

Ordered by how strongly the researchers Kehang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Simplified and Generalized Masked Diffusion for Discrete Data (2024) — 576 citations