Aiqing Huang
Artificial Intelligence · 2014
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #29,166 of 35,345 by trust here, #34,213 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Aiqing Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Ming Yuan
- Jiangchuan Zheng
- Andreas Argyriou
- Jiayu Zhou
- Theodoros Evgeniou
- Yi Lin
- Lionel Ming-shuan Ni
- Massimiliano Pontil
- Jieping Ye
Who trusts Aiqing Huang overall
Papers from Aiqing Huang's perspective
Ordered by how strongly the researchers Aiqing Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Model selection and estimation in regression with grouped variables
- Convex multi-task feature learning
- Gradient methods for minimizing composite objective function
- Regression Shrinkage and Selection via the Lasso
- A Dirty Model for Multi-task Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Robust multi-task feature learning
- A multi-task learning formulation for predicting disease progression
- Proximal Algorithms
- Joint support recovery under high-dimensional scaling: Benefits and perils of ℓ 1,∞ -regularization