Long Chen

Artificial Intelligence · with Yuan · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Model Architectures — 5 citations into it

Whom Long Chen trusts overall

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

1. Eric R. Ziegel
2. Grzegorz Dudek
3. Sepp Hochreiter
4. J. Urgen Schmidhuber
5. Felix Alexander Gers

Papers from Long Chen's perspective

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

1. Long Short-Term Memory
2. Learning long-term dependencies with gradient descent is difficult
3. On the difficulty of training recurrent neural networks
4. Learning to Forget: Continual Prediction with LSTM
5. The Elements of Statistical Learning
6. Gradient-based learning applied to document recognition
7. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
8. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
9. ImageNet classification with deep convolutional neural networks
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation (2017) — 623 citations