Ming Kong

2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ming Kong trusts overall

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

1. Quoc V. Le
2. Sepp Hochreiter
3. Bryan Perozzi
4. Tomas Mikolov
5. J. Urgen Schmidhuber

Papers from Ming Kong's perspective

Ordered by how strongly the researchers Ming Kong 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Community-Based Question Answering via Contextual Ranking Metric Network Learning (2017) — 7 citations