Jie Wang
Artificial Intelligence · with Ye · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #16,173 of 35,345 by trust here, #28,481 by citations
- Representation & Self-Supervised Learning — 9 citations into it; #2,665 of 3,145 by trust here, #2,957 by citations
- Optimization & Training — 7 citations into it
- Statistics and Probability — 7 citations into it; #10,830 of 12,932 by trust here, #9,714 by citations
- Computational Mechanics — 6 citations into it; #4,979 of 10,001 by trust here, #9,582 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Jie Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jun Liu
- Robert Tibshirani
- R. Caruana
- Hui Zou
- Trevor J. Hastie
- Shuiwang Ji
- Christoph H. Lampert
- Han Liu
- Zhuoliang Kang
- Jerome H. Friedman
Who trusts Jie Wang overall
Papers from Jie Wang's perspective
Ordered by how strongly the researchers Jie Wang 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
- Regression Shrinkage and Selection via the Lasso
- Et al
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Multitask Learning
Their papers
- A Multi-Task Learning Formulation for Survival Analysis (2016) — 138 citations
- Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (2015) — 18 citations