Ping Wang

Artificial Intelligence · with Jiang · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Ping Wang trusts overall

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

1. Paul J. Werbos
2. Diederik P. Kingma
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Alex Graves
6. Nitish Srivastava
7. Jimmy Ba
8. Christian Szegedy
9. Alex Krizhevsky
10. Yoshua Bengio

Who trusts Ping Wang overall

1. Hamdi Altaheri

Papers from Ping Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• LSTM-Based EEG Classification in Motor Imagery Tasks (2018) — 322 citations