Jing Wang

Artificial Intelligence · with Tang · 2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Jing Wang trusts overall

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

1. Yoshua Bengio
2. Alex Graves
3. Wojciech Zaremba
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Ilya Sutskever
7. Sepp Hochreiter
8. Pascal Vincent
9. Hugo Larochelle
10. Johan A. K. Suykens

Who trusts Jing Wang overall

1. Chaoyun Zhang
2. Qian Mao
3. Paul Patras
4. Fei Hu

Papers from Jing Wang's perspective

Ordered by how strongly the researchers Jing 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs (2017) — 243 citations
• Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach (2017) — 353 citations