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

Whom Aiqing Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yurii E. Nesterov
  2. Ming Yuan
  3. Jiangchuan Zheng
  4. Andreas Argyriou
  5. Jiayu Zhou
  6. Theodoros Evgeniou
  7. Yi Lin
  8. Lionel Ming-shuan Ni
  9. Massimiliano Pontil
  10. Jieping Ye

Who trusts Aiqing Huang overall

  1. Yu Zhang
  2. Qiang Yang

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.

  1. Model selection and estimation in regression with grouped variables
  2. Convex multi-task feature learning
  3. Gradient methods for minimizing composite objective function
  4. Regression Shrinkage and Selection via the Lasso
  5. A Dirty Model for Multi-task Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Robust multi-task feature learning
  8. A multi-task learning formulation for predicting disease progression
  9. Proximal Algorithms
  10. Joint support recovery under high-dimensional scaling: Benefits and perils of ℓ 1,∞ -regularization

Their papers