Xiuwen Liu
Molecular Biology · 2000–2019
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 39 citations into it
- Materials Chemistry — 19 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it; #7,939 of 21,575 by trust here, #12,172 by citations
- Signal Processing — 6 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it; #800 of 1,525 by trust here, #1,113 by citations
Whom Xiuwen Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Xiuwen Liu overall
Papers from Xiuwen Liu's perspective
Ordered by how strongly the researchers Xiuwen Liu 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Equivalence of Julesz Ensembles and FRAME Models (2000) — 86 citations
- Statistical shape analysis: clustering, learning, and testing (2005) — 409 citations
- ProDCoNN: Protein design using a convolutional neural network (2019) — 71 citations