Ming Ni

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Ming Ni trusts overall

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

1. Alex Graves
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. Yoshua Bengio

Papers from Ming Ni's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. A Fast Learning Algorithm for Deep Belief Nets
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Deep Architectures for AI
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Speech recognition with deep recurrent neural networks

Their papers

• A deep learning approach for detecting traffic accidents from social media data (2018) — 318 citations