Shihui Ying
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 4 papers; trusts 207 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 102 citations into it
- Artificial Intelligence — 64 citations into it
- Model Architectures — 16 citations into it
- Media Technology — 12 citations into it
- Optimization & Training — 11 citations into it
- Neurology — 10 citations into it
- Psychiatry and Mental health — 10 citations into it
- Meta & Continual Learning — 9 citations into it
Whom Shihui Ying trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- X. Zhang
- Diederik P. Kingma
- Ilya Sutskever
- Shaoqing Ren
Papers from Shihui Ying's perspective
Ordered by how strongly the researchers Shihui Ying 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation (2024) — 332 citations
- IExpressNet: Facial Expression Recognition with Incremental Classes (2020) — 22 citations
- Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease (2018) — 379 citations
- Super-resolution reconstruction of MR image with a novel residual learning network algorithm (2018) — 97 citations