Yuyin Zhou
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 8 papers; trusts 490 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 182 citations into it; #20,286 of 35,345 by trust here, #7,728 by citations
- Computer Vision and Pattern Recognition — 173 citations into it; #11,860 of 21,575 by trust here, #3,378 by citations
- Safety, Robustness & Interpretability — 68 citations into it; #1,490 of 2,251 by trust here, #768 by citations
- Model Architectures — 55 citations into it
- Signal Processing — 16 citations into it
- Optimization & Training — 14 citations into it
- Hardware and Architecture — 10 citations into it
- Media Technology — 10 citations into it
Whom Yuyin Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Ian J. Goodfellow
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Christian Szegedy
- Karen Simonyan
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
Who trusts Yuyin Zhou overall
- Reza Azad
- Mohammad Hesam Hesamian
- Jieneng Chen
- Naveed Akhtar
- Avishek Joey Bose
- Muzammal Naseer
- Holger R. Roth
- Alan L. Yuille
- Yingwei Li
Papers from Yuyin Zhou's perspective
Ordered by how strongly the researchers Yuyin Zhou 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)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Adversarial Examples for Semantic Segmentation and Object Detection (2017) — 1,033 citations
- TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation (2021) — 5,990 citations
- Improving Transferability of Adversarial Examples With Input Diversity (2018) — 1,463 citations
- Visual Concepts and Compositional Voting (2017) — 35 citations
- Neural Architecture Search for Lightweight Non-Local Networks (2020) — 55 citations
- A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans (2016) — 314 citations
- A generalist vision–language foundation model for diverse biomedical tasks (2023) — 401 citations
- Learning Transferable Adversarial Examples via Ghost Networks (2018) — 163 citations