Xiang Wei
Computer Vision and Pattern Recognition · with Lu · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 52 citations into it
- Generative Models — 37 citations into it
- Artificial Intelligence — 35 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Optimization & Training — 7 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Xiang Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Augustus Odena
- L. Eon Bottou
- Individualized Treat
- Danilo Jimenez Rezende
- Max Welling
Who trusts Xiang Wei overall
- Sung Woo Park
- Xiangli Yang
- Zhengli Zhao
- Jiqing Wu
- Xiaotao Wei
- Kuan-Chieh Jackson Wang
- Junseok Kwon
- Akinori Tanaka
- Zixing Song
Papers from Xiang Wei's perspective
Ordered by how strongly the researchers Xiang Wei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS