Ligong Han

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Generative Models — 30 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Ligong Han trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Yang Song
10. Karen Simonyan

Who trusts Ligong Han overall

1. Jing Shi
2. Zhen Li
3. Yuchao Gu
4. Xintao Wang
5. Wei Xiong

Papers from Ligong Han's perspective

Ordered by how strongly the researchers Ligong 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• SVDiff: Compact Parameter Space for Diffusion Fine-Tuning (2023) — 407 citations