Li Wang
Computer Vision and Pattern Recognition · NeuroImage · 2014–2018
A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #16,122 of 21,575 by trust here, #5,422 by citations
- Artificial Intelligence — 18 citations into it
- Model Architectures — 7 citations into it
Whom Li Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Geoffrey E. Hinton
- Alex Krizhevsky
- Dan Claudiu Ciresan
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- L. Eon Bottou
- J. Urgen Schmidhuber
- Alessandro Giusti
Who trusts Li Wang overall
Papers from Li Wang's perspective
Ordered by how strongly the researchers Li Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis (2014) — 470 citations
- Medical Image Synthesis with Deep Convolutional Adversarial Networks (2018) — 562 citations
- The UNC/UMN Baby Connectome Project (BCP): An Overview of the Study Design and Protocol Development (2018) — 399 citations
- Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation (2015) — 800 citations