Yu Guan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #19,403 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #12,165 of 21,575 by trust here, #17,757 by citations

Whom Yu Guan trusts overall

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

1. Ludmila I. Kuncheva
2. Subhash C. Bagui
3. Nils Y. Hammerla
4. Attila Reiss
5. Andreas Bulling
6. Josef Kittler
7. Thomas Stiefmeier
8. Didier Stricker
9. Eric R. Ziegel
10. Daniel Roggen

Who trusts Yu Guan overall

1. Dalin Zhang
2. Lina Yao
3. Florenc Demrozi
4. Jindong Wang
5. Yue Zheng
6. Yi Zhang
7. Graziano Pravadelli
8. Yiqiang Chen
9. Azra Bihorac

Papers from Yu Guan's perspective

Ordered by how strongly the researchers Yu Guan 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Ensembles of Deep LSTM Learners for Activity Recognition using Wearables (2017) — 510 citations