Yanbo Xu
Artificial Intelligence · 2016–2024
A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #18,552 of 35,345 by trust here, #24,417 by citations
- Statistics and Probability — 36 citations into it; #6,727 of 12,932 by trust here, #8,740 by citations
- Molecular Biology — 17 citations into it
- Causal Inference & Discovery — 16 citations into it
- Reinforcement Learning — 9 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Yanbo Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James M. Robins
- Anastasios A. Tsiatis
- M. J. van der Laan
- Hemant Ishwaran
- Siddhartha Chib
- Xuejun Liao
- Miguel A. Hern'an
- Miroslav Dud'ik
- Lu Tian
- Jasjeet S. Sekhon
Who trusts Yanbo Xu overall
- Ahmed M. Alaa
- Ioana Bica
- Mihaela van der Schaar
- Hossein Soleimani
- Michael Weisz
- Suchi Saria
- Peter F. Schulam
- Adarsh Subbaswamy
Papers from Yanbo Xu's perspective
Ordered by how strongly the researchers Yanbo Xu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves (2016) — 42 citations
- A whole-slide foundation model for digital pathology from real-world data (2024) — 934 citations
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs (2023) — 661 citations
- A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves (2016)
- Using Causal Inference to Estimate What-if Outcomes for Targeting Treatments (2016)