Zhen Fang
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 5 papers; trusts 274 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 126 citations into it
- Computer Vision and Pattern Recognition — 91 citations into it
- Representation & Self-Supervised Learning — 26 citations into it
- Radiology, Nuclear Medicine and Imaging — 14 citations into it
- Optimization & Training — 12 citations into it
- Model Architectures — 10 citations into it
- Anomaly & Outlier Detection — 9 citations into it
- Generative Models — 8 citations into it
Whom Zhen Fang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Shai Shalev-Shwartz
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Walter J. Scheirer
Who trusts Zhen Fang overall
Papers from Zhen Fang's perspective
Ordered by how strongly the researchers Zhen Fang 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Is Out-of-Distribution Detection Learnable? (2022) — 181 citations
- Federated Class-Incremental Learning (2022) — 299 citations
- Learning Bounds for Open-Set Learning (2021) — 68 citations
- Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation (2021) — 153 citations
- Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation (2020) — 33 citations