Yongchun Zhu
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 386 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 150 citations into it
- Computer Vision and Pattern Recognition — 106 citations into it
- Representation & Self-Supervised Learning — 93 citations into it
- Cancer Research — 17 citations into it
- Radiology, Nuclear Medicine and Imaging — 12 citations into it
- Signal Processing — 11 citations into it
- Natural Language Processing — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Yongchun Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mingsheng Long
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Judy Hoffman
- Diederik P. Kingma
- Yaroslav Ganin
- Ilya Sutskever
Who trusts Yongchun Zhu overall
Papers from Yongchun Zhu's perspective
Ordered by how strongly the researchers Yongchun Zhu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- A Comprehensive Survey on Transfer Learning (2019) — 5,955 citations
- Deep Subdomain Adaptation Network for Image Classification (2020) — 1,091 citations
- Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources (2019) — 381 citations