Huan-Zhi Song

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 5 citations into it

Whom Huan-Zhi Song trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Zachary Chase Lipton
4. Jimmy Ba
5. Yoshua Bengio
6. Dzmitry Bahdanau
7. Geoffrey E. Hinton
8. Oriol Vinyals
9. David C. Kale
10. Kyunghyun Cho

Who trusts Huan-Zhi Song overall

1. Bryan Lim
2. Hrayr Harutyunyan
3. Kukjin Choi
4. Sabeen Ahmed
5. Edward Choi
6. Haoyi Zhou
7. Konstantinos Benidis
8. Sercan Ö. Arik
9. Hrant Khachatrian
10. Jihun Yi

Papers from Huan-Zhi Song's perspective

Ordered by how strongly the researchers Huan-Zhi Song 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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. Going deeper with convolutions

Their papers

• Attend and Diagnose: Clinical Time Series Analysis using Attention Models (2017) — 530 citations