Jian Xue

Artificial Intelligence · with Li · 2013

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #4,152 of 35,345 by trust here, #9,557 by citations
• Signal Processing — 13 citations into it; #717 of 7,572 by trust here, #1,255 by citations
• Optimization & Training — 5 citations into it

Whom Jian Xue trusts overall

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

1. Dong Yu
2. Frank Torsten Bernd Seide
3. Brian Kingsbury
4. George E. Dahl
5. Tara N. Sainath
6. Li Deng
7. Gang Li
8. Geoffrey E. Hinton
9. Vincent Vanhoucke
10. Abdel-rahman Mohamed

Who trusts Jian Xue overall

1. Jinyu Li
2. Dong Yu
3. Li Deng
4. Zhen Huang
5. Sabato Marco Siniscalchi
6. Jia-Nan Wu
7. Jimmy Ba
8. Rohit Prabhavalkar
9. Lahiru Samarakoon
10. Marc Masana

Papers from Jian Xue's perspective

Ordered by how strongly the researchers Jian Xue 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Restructuring of deep neural network acoustic models with singular value decomposition (2013) — 448 citations
• Investigations on hessian-free optimization for cross-entropy training of deep neural networks (2013) — 33 citations