World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
3895
World Ranking
3346
National Ranking
163

Overview

Bing-Yi Jing is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily spans the field of Computer Science, with significant contributions to subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Economics and Econometrics, and Statistics and Probability.

The scientist's work covers a variety of research topics, including:

  • Image Enhancement Techniques
  • Complex Network Analysis Techniques
  • Advanced Neural Network Applications
  • Statistical Methods and Inference
  • Advanced Clustering Algorithms Research
  • Bayesian Methods and Mixture Models
  • Industrial Vision Systems and Defect Detection

Frequent publication venues where Bing-Yi Jing has contributed include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Mathematics
  • Statistics and Its Interface
  • Displays

Some notable recent papers authored or coauthored by Bing-Yi Jing include:

  • Community detection on mixture multilayer networks via regularized tensor decomposition, 2021, The Annals of Statistics
  • Community Detection in Sparse Networks Using the Symmetrized Laplacian Inverse Matrix (SLIM), 2020, Statistica Sinica

Bing-Yi Jing has collaborated with a number of frequent coauthors, including:

  • Mingdi Hu
  • Linjiajie Fang
  • Jiulun Fan
  • Hongxin Wei
  • Wenjia Wang

Best Publications

  • On blocking rules for the bootstrap with dependent data

    Peter Hall;Joel L. Horowitz;Bing Yi Jing

  • Jackknife Empirical Likelihood

    Bing-Yi Jing;Junqing Yuan;Wang Zhou

  • Self-normalized Cramér-type large deviations for independent random variables

    Bing Yi Jing;Qiman Shao;Qiying Wang

  • Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences

    Han-Ying Liang;Bing-Yi Jing

  • On Sample Reuse Methods for Dependent Data

    Peter Hall;Bingyi Jing

  • Empirical likelihood for partial linear models with fixed designs

    Qi-Hua Wang;Bing-Yi Jing

  • Two-sample empirical likelihood method

    Bing Yi Jing;Bing Yi Jing

  • On the sampling window method for long-range dependent data

    Peter Hall;Bing-Yi Jing;Soumendra Nath Lahiri

  • Empirical likelihood confidence regions for comparison distributions and roc curves

    Gerda Claeskens;Bing-Yi Jing;Liang Peng;Wang Zhou

  • On The Jump Activity Index for Semimartingales

    Bing-Yi Jing;Xin-Bing Kong;Zhi Liu;Per Mykland

  • Empirical Likelihood for Censored Linear Regression

    Gengsheng Qin;Bing Yi Jing

  • An Exponential Nonuniform Berry-Esseen Bound for Self-Normalized Sums

    Qiying Wang;Bing-Yi Jing

  • Empirical Likelihood for a Class of Functionals of Survival Distribution with Censored Data

    Qi-Hua Wang;Bing-Yi Jing

  • MODELING HIGH-FREQUENCY FINANCIAL DATA BY PURE JUMP PROCESSES

    Bing-Yi Jing;Xin-Bing Kong;Zhi Liu

  • Some results about the NBUC class of life distributions

    Xiaohu Li;Zehui Li;Bing-Yi Jing

  • Empirical likelihood for partial linear models

    Qi-Hua Wang;Qi-Hua Wang;Bing-Yi Jing

  • Strong Limit Theorems for Weighted Sums of Negatively Associated Random Variables

    Bing-Yi Jing;Han-Ying Liang

  • WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering.

    Zhi Liu;Ahmed Abbas;Bing-Yi Jing;Xin Gao

  • Exponential empirical likelihood is not Bartlett correctable

    Bing-Yi Jing;Andrew T. A. Wood

  • Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition.

    Bing-Yi Jing;Ting Li;Zhongyuan Lyu;Dong Xia

  • Improved pivotal methods for constructing confidence regions with directional data

    Nicholas I. Fisher;Peter Hall;Bing-Yi Jing;Andrew T. A. Wood

  • Saddlepoint Approximations for Marginal and Conditional Probabilities of Transformed Variables

    Bingyi Jing;John Robinson

Frequent Co-Authors

Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
Xin Gao
Xin Gao King Abdullah University of Science and Technology
John P. Robinson
John P. Robinson University of Maryland, College Park
Per A. Mykland
Per A. Mykland University of Chicago
Liang Peng
Liang Peng Georgia State University
Cun-Hui Zhang
Cun-Hui Zhang Rutgers, The State University of New Jersey
Jiahua Chen
Jiahua Chen University of British Columbia
Nicholas I. Fisher
Nicholas I. Fisher University of Sydney

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