Saibo Xing

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Signal Processing — 12 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom Saibo Xing trusts overall

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

1. Geoffrey E. Hinton
2. Sinno Jialin Pan
3. Richard Baraniuk
4. Yoshua Bengio
5. Alex Krizhevsky

Who trusts Saibo Xing overall

1. Long Wen
2. Shen Zhang
3. Xiang Li
4. Jinyang Jiao
5. Rui Yang

Papers from Saibo Xing's perspective

Ordered by how strongly the researchers Saibo Xing 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. This PDF file includes: Materials and Methods
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data (2016) — 1,047 citations
• An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings (2019) — 758 citations
• Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data (2019) — 1,048 citations
• A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines (2018) — 491 citations
• Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization (2018) — 547 citations