Haoliang Li

Computer Vision and Pattern Recognition · 2 papers · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 141 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #13,624 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 17 citations into it; #21,975 of 35,345 by trust here, #29,412 by citations
• Representation & Self-Supervised Learning — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Haoliang Li trusts overall

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

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

Who trusts Haoliang Li overall

1. Yusuke Iwasawa
2. Divyat Mahajan
3. Daehee Kim

Papers from Haoliang Li's perspective

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

Their papers

• Heterogeneous Domain Generalization Via Domain Mixup (2020) — 173 citations
• Low-Light Image Enhancement with Normalizing Flow (2021) — 590 citations