Hung Yu Ling

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Control and Systems Engineering — 10 citations into it
• Artificial Intelligence — 7 citations into it

Whom Hung Yu Ling trusts overall

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

1. Diederik P. Kingma
2. Daniel Holden
3. John Schulman
4. Jianyuan Min
5. Taku Komura
6. Geoffrey E. Hinton
7. Samy Bengio
8. Jun Saito
9. Max Welling
10. Xue Bin Peng

Who trusts Hung Yu Ling overall

1. Xue Bin Peng
2. Davis Rempe
3. Ze Ma

Papers from Hung Yu Ling's perspective

Ordered by how strongly the researchers Hung Yu Ling 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Character controllers using motion VAEs (2020) — 320 citations