Long-Kai Huang
Artificial Intelligence · with Yang · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #23,886 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 36 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Information Systems — 10 citations into it
- Natural Language Processing — 7 citations into it
- Model Architectures — 6 citations into it
- Recommender Systems — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Long-Kai Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- X. Zhang
- Andrew Zisserman
Who trusts Long-Kai Huang overall
Papers from Long-Kai Huang's perspective
Ordered by how strongly the researchers Long-Kai Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Frustratingly Easy Transferability Estimation (2021) — 75 citations
- Recurrent knowledge graph embedding for effective recommendation (2018) — 368 citations