Hang Su

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #5,397 of 35,345 by trust here, #23,731 by citations
• Optimization & Training — 7 citations into it; #574 of 2,601 by trust here, #1,986 by citations
• Signal Processing — 6 citations into it

Whom Hang Su trusts overall

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

1. Frank Torsten Bernd Seide
2. Daniel Povey
3. Geoffrey E. Hinton
4. Ryan T. McDonald
5. Nicolas Le Roux
6. Yoshua Bengio
7. Karel Veselý
8. Adam Coates
9. Xie Chen
10. Dong Yu

Who trusts Hang Su overall

1. Jianyu Wang
2. Hao Yu
3. Peng Jiang
4. Gauri Joshi
5. Xianfeng Liang
6. Farzin Haddadpour
7. Ken Chang
8. Samira Pouyanfar
9. Sen Yang
10. Gagan Agrawal

Papers from Hang Su's perspective

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

Their papers

• Experiments on Parallel Training of Deep Neural Network using Model Averaging (2015) — 74 citations