Xiaowei Zhan
Genetics · 2015–2020
A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 45 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Artificial Intelligence — 33 citations into it
- Optimization & Training — 11 citations into it
Whom Xiaowei Zhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph K. Pickrell
- Ross B. Girshick
- Geoffrey E. Hinton
- L. Eon Bottou
- Michael C. Wu
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yurii E. Nesterov
- Jimmy Ba
Papers from Xiaowei Zhan's perspective
Ordered by how strongly the researchers Xiaowei Zhan 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Microsoft COCO: Common Objects in Context
Their papers
- A global reference for human genetic variation (2015) — 16,925 citations
- eIF5B drives integrated stress response-dependent translation of PD-L1 in lung cancer (2020) — 107 citations
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (2019) — 1,654 citations
- Pathology Image Analysis Using Segmentation Deep Learning Algorithms. (2019) — 332 citations
- RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data (2016) — 401 citations