Ximei Wang
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 508 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it
- Computer Vision and Pattern Recognition — 94 citations into it
- Representation & Self-Supervised Learning — 68 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Generative Models — 12 citations into it
- Optimization & Training — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
- Natural Language Processing — 8 citations into it
Whom Ximei Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Mingsheng Long
- Yann LeCun
- Diederik P. Kingma
- Ross B. Girshick
- Ilya Sutskever
- Jia Deng
Who trusts Ximei Wang overall
Papers from Ximei Wang's perspective
Ordered by how strongly the researchers Ximei Wang 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)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Transferable Attention for Domain Adaptation (2019) — 314 citations
- Minimum Class Confusion for Versatile Domain Adaptation (2019) — 478 citations
- Debiased Pseudo Labeling in Self-Training (2022) — 12 citations