Wei Sun

Assistant Professor

  • 121 Citations
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Wei Sun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Clustering Mathematics
High-dimensional Mathematics
Classifier Mathematics
Tensor Decomposition Mathematics
Variable Selection Mathematics
High-dimensional Data Mathematics
Tensor Mathematics
Neuroimaging Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2012 2019

  • 121 Citations
  • 9 Article
  • 3 Conference contribution
  • 2 Conference article

Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis

Zhang, J., Sun, W. W. & Li, L., Jan 1 2019, (Accepted/In press) In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Mixed Effects
Network Model
Dynamic Networks

Simultaneous clustering and estimation of heterogeneous graphical models

Hao, B., Sun, W., Liu, Y. & Cheng, G., Apr 1 2018, In : Journal of Machine Learning Research. 18, p. 1-58 58 p.

Research output: Contribution to journalArticle

Conditional Expectation
Graphical Models

Sketching method for large scale combinatorial inference

Sun, W., Lu, J. & Liu, H., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 10598-10607 10 p.

Research output: Contribution to journalConference article

2 Citations (Scopus)

Sparse Convex Clustering

Wang, B., Zhang, Y., Sun, W. & Fang, Y., Apr 3 2018, In : Journal of Computational and Graphical Statistics. 27, 2, p. 393-403 11 p.

Research output: Contribution to journalArticle

Clustering Methods
Convex Relaxation
K-means Clustering

Stability enhanced large-margin classifier selection

Sun, W., Cheng, G. & Liu, Y., Jan 1 2018, In : Statistica Sinica. 28, 1, p. 1-25 25 p.

Research output: Contribution to journalArticle

Generalization Error
Selection Principles