Chenyue Wu
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #17,856 of 35,345 by trust here, #32,362 by citations
- Computer Vision and Pattern Recognition — 12 citations into it; #11,283 of 21,575 by trust here, #20,271 by citations
- Statistics and Probability — 12 citations into it
- Statistical Learning Theory — 10 citations into it; #707 of 1,038 by trust here, #985 by citations
- Probabilistic & Bayesian Methods — 6 citations into it
- Signal Processing — 5 citations into it; #3,653 of 7,572 by trust here, #6,836 by citations
Whom Chenyue Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher K. I. Williams
- R. Fisher
- Christian Bauckhage
- Barnab'as P'oczos
- Anders Drachen
- John Shawe-Taylor
- Bernhard Schölkopf
- Arthur Gretton
- Leslie Greengard
- Rafet Sifa
Who trusts Chenyue Wu overall
Papers from Chenyue Wu's perspective
Ordered by how strongly the researchers Chenyue Wu 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Prototypal Analysis and Prototypal Regression (2017) — 13 citations