Jingjing He

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingjing He trusts overall

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

  1. Jinyuan Chang
  2. Rong Chen
  3. Qiwei Yao
  4. Peter J. Bickel
  5. Clifford Lam
  6. Bin Guo
  7. Dong Wang
  8. Elynn Y. Chen
  9. Farid Boussama

Papers from Jingjing He's perspective

Ordered by how strongly the researchers Jingjing He trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Factor modeling for high-dimensional time series: inference for the number of factors
  2. High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
  3. Covariance regularization by thresholding
  4. Tensor Decompositions and Applications
  5. Factor models for matrix-valued high-dimensional time series (Journal of Econometrics)
  6. A New Learning Algorithm for Blind Signal Separation
  7. Autoregressive models for matrix-valued time series (Journal of Econometrics)
  8. Constrained Factor Models for High-Dimensional Matrix-Variate Time Series (Journal of the American Statistical Association)
  9. Canonical polyadic decomposition of third-order tensors: relaxed uniqueness conditions and algebraic algorithm
  10. Principal component analysis for second-order stationary vector time series (Annals of Statistics)

Their papers