Hanwen Liang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 122 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Artificial Intelligence — 56 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 9 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Hanwen Liang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Barret Zoph
6. Ross B. Girshick
7. Yoshua Bengio
8. Christian Szegedy
9. Quoc V. Le
10. Ilya Sutskever

Who trusts Hanwen Liang overall

1. Xiangxiang Chu
2. Colin White
3. Haokui Zhang
4. Risheng Liu
5. Jieru Mei
6. Quanming Yao
7. Willie Neiswanger

Papers from Hanwen Liang's perspective

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

Their papers

• DARTS+: Improved Differentiable Architecture Search with Early Stopping (2019) — 317 citations
• Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity (2021) — 35 citations