Taiyue Liu

Information Systems · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 24 citations into it; #2,992 of 8,771 by trust here, #3,198 by citations
• Software — 19 citations into it; #426 of 1,227 by trust here, #366 by citations
• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 7 citations into it
• Signal Processing — 7 citations into it; #3,065 of 7,572 by trust here, #2,816 by citations
• Computer Networks and Communications — 6 citations into it

Whom Taiyue Liu trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ahmed E. Hassan
4. Gonzalo Navarro
5. David M. Blei
6. Karim O. Elish
7. Razvan Pascanu
8. Thomas Zimmermann
9. Andrew Y. Ng
10. Alex Krizhevsky

Who trusts Taiyue Liu overall

1. Xi Victoria Lin
2. Michael Pradel
3. Rabee Sohail Malik
4. Jin L.C. Guo
5. Yi Li
6. Thibaud Lutellier
7. Guanjun Lin
8. Yu Wang
9. Jian Zhang
10. Koushik Sen

Papers from Taiyue Liu's perspective

Ordered by how strongly the researchers Taiyue Liu 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automatically Learning Semantic Features for Defect Prediction (2016) — 723 citations