Tian Gan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Information Systems — 14 citations into it

Whom Tian Gan trusts overall

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

1. Xiangnan He

Papers from Tian Gan's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Understanding the difficulty of training deep feedforward neural networks
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
10. Conditional Generative Adversarial Nets

Their papers

• LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation (2020) — 61 citations