Jun Yu

About Jun Yu

Jun Yu, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Beijing Institute of Technology, specializes in the field of design of experiments, analysis of large scale data.

His recent articles reflect a diverse array of research interests and contributions to the field:

A review on design inspired subsampling for big data

Hilbert curve projection distance for distribution comparison

A Robust Learning Framework for Smart Grids in Defense Against False-Data Injection Attacks

Scalable model-free feature screening via sliced-wasserstein dependency

Efficient approximation of Gromov-Wasserstein distance using importance sparsification

Fast calibration for computer models with massive physical observations

Leverage classifier: Another look at support vector machine

Information-based optimal subdata selection for non-linear models

Jun Yu Information

University

Position

Assistant professor of School of Mathematics and Statistics

Citations(all)

304

Citations(since 2020)

304

Cited By

36

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Jun Yu Skills & Research Interests

design of experiments

analysis of large scale data

Top articles of Jun Yu

A review on design inspired subsampling for big data

2024/4

Jun Yu
Jun Yu

H-Index: 4

Zhiqiang Ye
Zhiqiang Ye

H-Index: 8

Hilbert curve projection distance for distribution comparison

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024/2/8

A Robust Learning Framework for Smart Grids in Defense Against False-Data Injection Attacks

ACM Transactions on Sensor Networks

2024/1/9

Jun Yu
Jun Yu

H-Index: 4

Scalable model-free feature screening via sliced-wasserstein dependency

Journal of Computational and Graphical Statistics

2023/10/2

Efficient approximation of Gromov-Wasserstein distance using importance sparsification

Journal of Computational and Graphical Statistics

2023/10/2

Fast calibration for computer models with massive physical observations

SIAM/ASA Journal on Uncertainty Quantification

2023/9/30

Leverage classifier: Another look at support vector machine

arXiv preprint arXiv:2308.12444

2023/8/23

Information-based optimal subdata selection for non-linear models

Statistical Papers

2023/8

Importance sparsification for Sinkhorn algorithm

Journal of Machine Learning Research

2023/6/23

A reinforced learning approach to optimal design under model uncertainty

arXiv preprint arXiv:2303.15887

2023/3/28

Jun Yu
Jun Yu

H-Index: 4

Optimal designs for semi-parametric dose-response models under random contamination

Computational Statistics & Data Analysis

2023/2/1

Jun Yu
Jun Yu

H-Index: 4

Yaping Wang
Yaping Wang

H-Index: 5

An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation

Journal of Computational and Graphical Statistics

2023/1/2

LOCALLY D-OPTIMAL DESIGNS FOR HIERARCHICAL RESPONSE EXPERIMENTS.

Statistica Sinica

2023/1/1

Zhiqiang Ye
Zhiqiang Ye

H-Index: 8

Jun Yu
Jun Yu

H-Index: 4

Efficient basis selection for smoothing splines via rotated lattices

Stat

2023/1

Jun Yu
Jun Yu

H-Index: 4

Subdata selection algorithm for linear model discrimination

Statistical Papers

2022/12

Jun Yu
Jun Yu

H-Index: 4

Haiying Wang
Haiying Wang

H-Index: 16

Smoothing splines approximation using Hilbert curve basis selection

Journal of Computational and Graphical Statistics

2022/7/3

Core-elements for classical linear regression

arXiv preprint arXiv:2206.10240

2022/6/21

CONGO²: Scalable online anomaly detection and localization in power electronics networks

IEEE internet of things journal

2022/1/14

Optimal distributed subsampling for maximum quasi-likelihood estimators with massive data

Journal of the American Statistical Association

2022/1/2

Jun Yu
Jun Yu

H-Index: 4

Haiying Wang
Haiying Wang

H-Index: 16

Details of Single-Molecule Force Spectroscopy Data Decoded by a Network-Based Automatic Clustering Algorithm

The Journal of Physical Chemistry B

2021/8/23

See List of Professors in Jun Yu University(Beijing Institute of Technology)