Huichen Li

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Safety, Robustness & Interpretability — 38 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Signal Processing — 19 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Natural Language Processing — 8 citations into it

Whom Huichen Li trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Kaiming He
5. Christian Szegedy
6. Yoshua Bengio
7. Ilya Sutskever
8. Diederik P. Kingma
9. Ian J. Goodfellow
10. Alex Graves

Papers from Huichen Li's perspective

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

Their papers

• Detecting AI Trojans Using Meta Neural Analysis (2019) — 395 citations
• Data Poisoning Attack against Unsupervised Node Embedding Methods (2018) — 70 citations