Han Liu

Artificial Intelligence · with Gan · 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 Han Liu trusts overall

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

1. Xiangnan He
2. Xavier Glorot
3. Yoshua Bengio
4. Yehuda Koren
5. Mehdi Mirza
6. Xiang Wang
7. Geoffrey E. Hinton
8. Tat-seng Chua
9. Badrul Munir Sarwar
10. Diederik P. Kingma

Papers from Han Liu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. GENERATIVE ADVERSARIAL NETS
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Understanding the difficulty of training deep feedforward neural networks
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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