Yutao Huang
Artificial Intelligence · 2020
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 — 68 citations into it
- Federated & Distributed Learning — 33 citations into it
- Optimization & Training — 28 citations into it
- Computational Mechanics — 12 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
Whom Yutao Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Dimitri P. Bertsekas
- Diederik P. Kingma
- R. Tyrrell Rockafellar
- Kaiming He
- Mehryar Mohri
- Corinna Cortes
- Geoffrey E. Hinton
- Filip Hanzely
- Yishay Mansour
Who trusts Yutao Huang overall
Papers from Yutao Huang's perspective
Ordered by how strongly the researchers Yutao 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Personalized Cross-Silo Federated Learning on Non-IID Data (2020) — 856 citations
- Personalized Federated Learning: An Attentive Collaboration Approach (2020) — 29 citations