Huiting Zheng

Artificial Intelligence · 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 Huiting Zheng 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
6. Hasim Sak
7. Alex Graves
8. Yoshua Bengio
9. Ronald J. Williams
10. Jerome H. Friedman

Who trusts Huiting Zheng overall

1. Chujie Tian
2. Yassine Himeur
3. Jian Ma

Papers from Huiting Zheng's perspective

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

1. Long Short-Term Memory
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

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