Han Wu
Computer Vision and Pattern Recognition · with Shi · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it; #8,505 of 21,575 by trust here, #18,266 by citations
Whom Han Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Han Wu overall
Papers from Han Wu's perspective
Ordered by how strongly the researchers Han Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Structural Design of Convolutional Neural Networks for Steganalysis (2016) — 744 citations