Xing-cheng Luo

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #31,383 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it; #2,556 of 3,265 by trust here, #2,754 by citations

Whom Xing-cheng Luo trusts overall

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

1. Yann LeCun
2. Jinsa Kuruvilla

Who trusts Xing-cheng Luo overall

1. A. Asuntha

Papers from Xing-cheng Luo's perspective

Ordered by how strongly the researchers Xing-cheng Luo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
3. A Fast Learning Algorithm for Deep Belief Nets
4. Caffe: Convolutional Architecture for Fast Feature Embedding
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images (2017) — 383 citations