Jingjing Cao

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #20,560 of 35,345 by trust here, #28,481 by citations
• Management Science and Operations Research — 24 citations into it; #6,267 of 11,946 by trust here, #8,469 by citations
• Electrical and Electronic Engineering — 13 citations into it; #7,062 of 16,539 by trust here, #13,553 by citations
• Economics and Econometrics — 8 citations into it
• Finance — 7 citations into it
• Control and Systems Engineering — 6 citations into it
• Natural Language Processing — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jingjing Cao trusts overall

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

1. G. Huang
2. Yoshua Bengio
3. Lijuan Cao
4. Antoine Bordes
5. Chi-Yuan Yeh
6. Robert P. Schumaker
7. Zhan-Li Sun
8. Xavier Glorot
9. Yann LeCun
10. Gao Huang

Who trusts Jingjing Cao overall

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

Papers from Jingjing Cao's perspective

Ordered by how strongly the researchers Jingjing Cao 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. 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. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Empirical analysis: stock market prediction via extreme learning machine (2014) — 161 citations
• Market impact analysis via deep learned architectures (2018) — 18 citations