Shuo-Hui Li
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #17,204 of 35,345 by trust here, #27,551 by citations
- Probabilistic & Bayesian Methods — 21 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Atomic and Molecular Physics, and Optics — 12 citations into it; #2,506 of 7,135 by trust here, #5,741 by citations
- Generative Models — 11 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Condensed Matter Physics — 7 citations into it; #621 of 1,948 by trust here, #1,409 by citations
- Signal Processing — 6 citations into it
Whom Shuo-Hui Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Diederik P. Kingma
- David John Cameron MacKay
- Brian Swingle
- Xiao-Liang Qi
- Laurent Dinh
- Geoffrey E. Hinton
- Guifré Vidal
- Yoshua Bengio
- Scott Shaobing Chen
Who trusts Shuo-Hui Li overall
Papers from Shuo-Hui Li's perspective
Ordered by how strongly the researchers Shuo-Hui Li 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Neural Network Renormalization Group (2018) — 145 citations