Jialang Xu

IEEE Wireless Communications Letters · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jialang Xu trusts overall

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

1. Nathan E. West
2. Tim O'Shea

Papers from Jialang Xu's perspective

Ordered by how strongly the researchers Jialang Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep architectures for modulation recognition (International Symposium on Dynamic Spectrum Access Networks)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Spatial Transformer Networks
8. Going deeper with convolutions
9. A Fast Learning Algorithm for Deep Belief Nets
10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers

• A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition (2020) — 386 citations