Hsiang-Yun Cheng

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Optimization & Training — 20 citations into it
• Model Architectures — 11 citations into it
• Efficiency & Compression — 7 citations into it
• ML Systems & Hardware — 5 citations into it

Whom Hsiang-Yun Cheng trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ilya Sutskever
5. Yoshua Bengio
6. Christian Szegedy
7. Yann LeCun
8. Diederik P. Kingma
9. Razvan Pascanu
10. Tomas Mikolov

Papers from Hsiang-Yun Cheng's perspective

Ordered by how strongly the researchers Hsiang-Yun Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform (2018) — 114 citations