Lingkai Kong

2018

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

Whom Lingkai Kong trusts overall

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

1. Taye Samuel Faniran
2. Olof Mogren
3. Bo Dai
4. Sepp Hochreiter
5. Individualized Treat

Papers from Lingkai Kong's perspective

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

1. Long Short-Term Memory
2. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Improved Training of Wasserstein GANs
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Wasserstein GAN
9. Deep Sparse Rectifier Neural Networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Deep Hidden Nonlinear Dynamics from Aggregate Data (2018) — 11 citations