Chiou-Jye Huang

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Model Architectures — 7 citations into it
• Electrical and Electronic Engineering — 6 citations into it; #9,428 of 16,539 by trust here, #14,827 by citations
• Optimization & Training — 5 citations into it

Whom Chiou-Jye Huang trusts overall

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

1. Alex Krizhevsky
2. Sepp Hochreiter
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Ilya Sutskever
7. Xiang Li
8. Christian Szegedy
9. Nitish Srivastava
10. Klaus Greff

Who trusts Chiou-Jye Huang overall

1. Taoying Li
2. Alberto Gasparin
3. M. Hua
4. Xu Wu

Papers from Chiou-Jye Huang's perspective

Ordered by how strongly the researchers Chiou-Jye Huang 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting (2018) — 296 citations
• A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities (2018) — 630 citations