Siyu Wang
Computer Vision and Pattern Recognition · with Chen · 2022
A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 42 citations into it; #19,094 of 21,575 by trust here, #21,103 by citations
- Artificial Intelligence — 35 citations into it; #31,076 of 35,345 by trust here, #34,213 by citations
- Generative Models — 15 citations into it; #1,731 of 1,956 by trust here, #1,946 by citations
- Signal Processing — 8 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
- Information Theory — 5 citations into it
Whom Siyu Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Duda
- Yoshua Bengio
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jonathan Ho
- Alex Krizhevsky
- Yann LeCun
- Jia Deng
- Ilya Sutskever
Who trusts Siyu Wang overall
Papers from Siyu Wang's perspective
Ordered by how strongly the researchers Siyu Wang 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- 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
- Fast Lossless Neural Compression with Integer-Only Discrete Flows (2022) — 8 citations