Shengdong Du

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 5 citations into it

Whom Shengdong Du trusts overall

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

1. Alex Krizhevsky
2. Alex Graves
3. J. Urgen Schmidhuber
4. Yu Zheng
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Sepp Hochreiter
8. Yoshua Bengio
9. Martin Längkvist
10. Yann LeCun

Who trusts Shengdong Du overall

1. Thien Huynh-The

Papers from Shengdong Du's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
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. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multivariate time series forecasting via attention-based encoder-decoder framework (2020) — 412 citations
• Deep Air Quality Forecasting Using Hybrid Deep Learning Framework (2018) — 423 citations