James J. Q. Yu

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 22 citations into it; #32,605 of 35,345 by trust here, #25,809 by citations

Whom James J. Q. Yu trusts overall

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

1. Tian Li
2. Thomas Kipf
3. Takayuki Nishio
4. Kiri L. Wagstaff

Who trusts James J. Q. Yu overall

1. Priyanka Mary Mammen

Papers from James J. Q. Yu's perspective

Ordered by how strongly the researchers James J. Q. Yu 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. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. A Survey on Transfer Learning
6. LIBSVM: A library for support vector machines
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach (2020) — 549 citations