Tiankai Hang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Generative Models — 28 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Tiankai Hang 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 Nichol
5. Prafulla Dhariwal
6. Alex Krizhevsky
7. Yoshua Bengio
8. Kaiming He
9. Yann LeCun
10. Ilya Sutskever

Who trusts Tiankai Hang overall

1. Deepanway Ghosal
2. Shanghua Gao
3. Ruoxi Shi
4. Yixin Liu

Papers from Tiankai Hang's perspective

Ordered by how strongly the researchers Tiankai Hang 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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient Diffusion Training via Min-SNR Weighting Strategy (2023) — 302 citations