Qiang Ma

Artificial Intelligence · with Zhuang · 2018

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #14,522 of 35,345 by trust here, #20,377 by citations
• Graph Learning — 12 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Natural Language Processing — 7 citations into it
• Statistical and Nonlinear Physics — 5 citations into it; #3,409 of 10,127 by trust here, #4,439 by citations

Whom Qiang Ma trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. L. V. D. van der Maaten
4. Ilya Sutskever
5. Yann LeCun
6. Yoshua Bengio
7. Alex Krizhevsky
8. Ruslan Salakhutdinov
9. Zhilin Yang
10. Mikael Henaff

Who trusts Qiang Ma overall

1. Ziwei Zhang
2. Guangrun Wang
3. Yuhao Yang
4. Zewen Li
5. Wentao Zhang

Papers from Qiang Ma's perspective

Ordered by how strongly the researchers Qiang Ma 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification (2018) — 441 citations