Tianchen Liang

Control and Systems Engineering · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 25 citations into it; #5,134 of 8,257 by trust here, #2,295 by citations
• Mechanics of Materials — 12 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Tianchen Liang trusts overall

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

1. Honglak Lee
2. Geoffrey E. Hinton
3. Yaguo Lei

Who trusts Tianchen Liang overall

1. Shen Zhang

Papers from Tianchen Liang's perspective

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

1. A Fast Learning Algorithm for Deep Belief Nets
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Unsupervised feature learning for audio classification using convolutional deep belief networks
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing (2018) — 349 citations
• Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network (2018) — 434 citations