Wenjie Fu
Artificial Intelligence · with Song · 2008–2009
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #16,144 of 35,345 by trust here, #27,551 by citations
- Statistical and Nonlinear Physics — 8 citations into it; #3,993 of 10,127 by trust here, #5,200 by citations
Whom Wenjie Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David M. Blei
- Zoubin Ghahramani
- Matthew J. Beal
- Tom A. B. Snijders
- Nicholas M. Luscombe
- Peter D. Hoff
- Radford M. Neal
- Mark S. Handcock
- Michael I. Jordan
- Andrew McCallum
Who trusts Wenjie Fu overall
Papers from Wenjie Fu's perspective
Ordered by how strongly the researchers Wenjie Fu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A state-space mixed membership blockmodel for dynamic network tomography (2008) — 249 citations
- Dynamic mixed membership blockmodel for evolving networks (2009) — 185 citations