Kailiang Wu
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #27,953 of 35,345 by trust here, #27,551 by citations
- Statistical and Nonlinear Physics — 18 citations into it; #7,605 of 10,127 by trust here, #7,024 by citations
- AI for Physical Sciences — 8 citations into it
- Numerical Methods & Scientific Computing — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Computational Mechanics — 6 citations into it
- Molecular Biology — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Kailiang Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maizar Raissi
- Robert Tibshirani
- Michael D. Schmidt
- Steven L. Brunton
- Yann LeCun
- Bryan C. Daniels
- Hod Lipson
- Josh C. Bongard
- Giang Tran
- Dimitrios Giannakis
Who trusts Kailiang Wu overall
Papers from Kailiang Wu's perspective
Ordered by how strongly the researchers Kailiang Wu 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
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Data Driven Governing Equations Approximation Using Deep Neural Networks (2018) — 308 citations