Leyi Wei
Computer Vision and Pattern Recognition · 2015–2018
A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 52 citations into it
- Molecular Biology — 39 citations into it
- Artificial Intelligence — 23 citations into it
- Model Architectures — 9 citations into it
- Biophysics — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Leyi Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John C. Platt
- Chris H. Q. Ding
- Liisa Holm
- Hong-Bin Shen
- Qiwen Dong
- Mark A. Hall
- Stephen F. Altschul
- Christopher Sander
- Kuo-Chen Chou
- Inna Dubchak
Who trusts Leyi Wei overall
Papers from Leyi Wei's perspective
Ordered by how strongly the researchers Leyi Wei trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Fully convolutional networks for semantic segmentation
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
Their papers
- Enhanced Protein Fold Prediction Method Through a Novel Feature Extraction Technique (2015) — 88 citations
- Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA (2018) — 484 citations
- RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans (2018) — 439 citations
- DUNet: A deformable network for retinal vessel segmentation (2018) — 819 citations
- ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides (2018) — 384 citations