Ruihan Yang
Computer Vision and Pattern Recognition · with Zhang · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 219 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it
- Generative Models — 46 citations into it
- Artificial Intelligence — 31 citations into it
- Signal Processing — 20 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Ruihan Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Yang Song
- Yann LeCun
- Jonathan Ho
- Ilya Sutskever
- Chelsea Finn
Who trusts Ruihan Yang overall
- Daquan Zhou
- Boyuan Chen
- Andreas Blattmann
- Ling Yang
- Luís Pinto-Coelho
- Weimin Wang
- Diego Marti Monso
- Chenshuang Zhang
- Robin Rombach
Papers from Ruihan Yang's perspective
Ordered by how strongly the researchers Ruihan Yang 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Diffusion Probabilistic Modeling for Video Generation (2022) — 331 citations
- PIANOTREE VAE: Structured Representation Learning for Polyphonic Music (2020) — 66 citations