Chengxuan Liu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Information Systems — 13 citations into it

Whom Chengxuan Liu trusts overall

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

1. Diederik P. Kingma
2. Balázs Hidasi
3. Yehuda Koren
4. Julian McAuley
5. Ruining He
6. Geoffrey E. Hinton
7. Jiaxi Tang
8. Wang-Cheng Kang
9. Lantao Yu
10. Max Welling

Papers from Chengxuan Liu's perspective

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

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

Their papers

• Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation (2021) — 124 citations