Wai-Kin Wong

Computer Vision and Pattern Recognition · 2000–2017

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 19 citations into it
• Generative Models — 7 citations into it

Whom Wai-Kin Wong trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Sepp Hochreiter
8. Nitish Srivastava
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Who trusts Wai-Kin Wong overall

1. Xingjian Shi
2. P. Cheung
3. Yunbo Wang
4. Jindong Jiang
5. Wenguan Wang
6. Mengye Ren

Papers from Wai-Kin Wong's perspective

Ordered by how strongly the researchers Wai-Kin Wong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. GENERATIVE ADVERSARIAL NETS
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model (2017) — 1,027 citations
• Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting (2015) — 9,818 citations
• SWIRLS-An Evolving Nowcasting System by (2000)