Xin Guo
Artificial Intelligence · with Zhou · 2010–2016
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #13,998 of 35,345 by trust here, #29,412 by citations
- Mathematical Physics — 13 citations into it
- Statistical Learning Theory — 12 citations into it
- Applied Mathematics — 11 citations into it
- Computational Mechanics — 11 citations into it; #3,525 of 10,001 by trust here, #7,884 by citations
- Optimization & Training — 9 citations into it
- Statistics and Probability — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it; #9,107 of 21,575 by trust here, #18,782 by citations
Whom Xin Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ding-Xuan Zhou
- Ingo Steinwart
- Dustin Boswell
- Bernhard Schölkopf
- Yuchen Zhang
- Steve Smale
- Ohad Shamir
- Theodoros Evgeniou
- Shai Fine
- Martin J. Wainwright
Who trusts Xin Guo overall
Papers from Xin Guo's perspective
Ordered by how strongly the researchers Xin Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Distributed Learning with Regularized Least Squares (2016) — 218 citations
- Hermite learning with gradient data (2010) — 15 citations