Cheng-Geng Huang

Control and Systems Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 13 citations into it
• Artificial Intelligence — 9 citations into it
• Mechanical Engineering — 6 citations into it
• Mechanics of Materials — 5 citations into it
• Optimization & Training — 5 citations into it
• Safety, Risk, Reliability and Quality — 5 citations into it

Whom Cheng-Geng Huang trusts overall

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

1. Paul J. Werbos
2. Iroon Polytechniou
3. Diederik P. Kingma
4. Xavier Glorot
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Jason Deutsch
8. Nitish Srivastava
9. Andrew M. Saxe
10. Jimmy Ba

Papers from Cheng-Geng Huang's perspective

Ordered by how strongly the researchers Cheng-Geng Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions (2019) — 402 citations