Jia Wang

Artificial Intelligence · with Chang · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Statistical and Nonlinear Physics — 17 citations into it
• Graph Learning — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Model Architectures — 6 citations into it

Whom Jia Wang trusts overall

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

1. Diederik P. Kingma
2. Richard Socher
3. Manuel Gomez-Rodriguez
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Jure Leskovec
8. Sam T. Roweis
9. Christopher D. Manning
10. Alex Krizhevsky

Papers from Jia Wang's perspective

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

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

Their papers

• Topological Recurrent Neural Network for Diffusion Prediction (2017) — 203 citations