Haoxian Chen

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Model Architectures — 7 citations into it

Whom Haoxian Chen trusts overall

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

1. Krzysztof Marcin Choromanski
2. Mark Rowland
3. Jirí Matousek
4. Robin Pemantle
5. Ali Rahimi
6. Felix X. Yu
7. Haim Avron
8. Alessandro Rudi
9. Christopher K. I. Williams
10. Nir Ailon

Papers from Haoxian Chen's perspective

Ordered by how strongly the researchers Haoxian Chen 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Demystifying Orthogonal Monte Carlo and Beyond (2020) — 11 citations
• Hybrid Random Features (2021) — 27 citations