Zilong Lin

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Signal Processing — 7 citations into it
• Computer Networks and Communications — 6 citations into it
• Generative Models — 5 citations into it

Whom Zilong Lin trusts overall

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

1. Weiwei Hu
2. Martín Arjovsky
3. Chih-Fong Tsai
4. Soumith Chintala
5. Ying Tan
6. L. Eon Bottou
7. Yu-Feng Hsu
8. Nicholas Carlini
9. Wenke Lee

Papers from Zilong Lin's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
9. Learning Multiple Layers of Features from Tiny Images
10. Wasserstein GAN

Their papers

• IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection (2018) — 353 citations