World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
8892
World Ranking
3679
National Ranking
748

Research.com Recognitions

  • 2017 - Fellow of the American Statistical Association (ASA)

Overview

Fugee Tsung is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily intersects the fields of Engineering and Computer Science, with a focus on specialized subfields such as Artificial Intelligence, Statistics, Probability and Uncertainty, Control and Systems Engineering, Transportation, and Building and Construction.

The main topics of Tsung's work include:

  • Advanced Statistical Process Monitoring
  • Traffic Prediction and Management Techniques
  • Fault Detection and Control Systems
  • Anomaly Detection Techniques and Applications
  • Human Mobility and Location-Based Analysis
  • Advanced Statistical Methods and Models
  • Industrial Vision Systems and Defect Detection

Tsung has a significant number of publications appearing in various venues. Notable frequent publication venues include:

  • arXiv (Cornell University)
  • IISE Transactions
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Quality Technology
  • Naval Research Logistics (NRL)

Among recent publications, some highlight contributions are:

  • "GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning" (2022), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Nonparametric monitoring of multivariate data via KNN learning" (2020), International Journal of Production Research
  • "Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile" (2020), IEEE Robotics and Automation Letters
  • "A hybrid transfer learning framework for in-plane freeform shape accuracy control in additive manufacturing" (2020), IISE Transactions

Tsung frequently collaborates with a group of coauthors, including:

  • Ziyue Li
  • Hao Yan
  • Wendong Li
  • Jiashun Cheng
  • Jia Li

Tsung was recognized as a Fellow of the American Statistical Association (ASA) in 2017.

Best Publications

  • The Internet of Things for Smart Manufacturing: A Review

    Hui Yang;Soundar R. T. Kumara;Satish T. S. Bukkapatnam;Fugee Tsung

  • Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes

    Changliang Zou;Fugee Tsung;Zhaojun Wang

  • Pushing Quality Improvement Along Supply Chains

    Kaijie Zhu;Rachel Q. Zhang;Fugee Tsung

  • A kernel-distance-based multivariate control chart using support vector methods

    Ruixiang Sun;Fugee Tsung

  • A Multivariate Sign EWMA Control Chart.

    Changliang Zou;Fugee Tsung

  • A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison

    Dong Han;Fugee Tsung

  • Monitoring Profiles Based on Nonparametric Regression Methods

    Changliang Zou;Fugee Tsung;Zhaojun Wang

  • Likelihood ratio based distribution free EWMA control charts

    Changliang Zou;Fugee Tsung

  • Using Profile Monitoring Techniques for a Data-rich Environment with Huge Sample Size

    Kaibo Wang;Fugee Tsung

  • The autoregressive T2 chart for monitoring univariate autocorrelated processes

    Daniel W. Apley;Fugee Tsung

  • One-class classification-based control charts for multivariate process monitoring

    Thuntee Sukchotrat;Seoung Bum Kim;Fugee Tsung

  • A DMAIC approach to printed circuit board quality improvement

    J. P. C. Tong;F. Tsung;B. P. C. Yen

  • Dual CUSUM control schemes for detecting a range of mean shifts

    Yi Zhao;Fugee Tsung;Zhaojun Wang

  • A self-starting control chart for linear profiles

    Changliang Zou;Chunguang Zhou;Zhaojun Wang;Fugee Tsung

  • LASSO-based multivariate linear profile monitoring

    Changliang Zou;Xianghui Ning;Fugee Tsung

  • A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control

    Changliang Zou;Wei Jiang;Fugee Tsung

  • A comparison study of effectiveness and robustness of control charts for monitoring process mean

    Yanjing Ou;Zhang Wu;Fugee Tsung

  • Statistical process control for multistage manufacturing and service operations: A review and some extensions

    Fugee Tsung;Yanting Li;Ming Jin

  • Opportunities and challenges of quality engineering for additive manufacturing

    Bianca M. Colosimo;Qiang Sean Huang;Tirthankar Dasgupta;Fugee Tsung

  • A spatial rank‐based multivariate EWMA control chart

    Changliang Zou;Zhaojun Wang;Fugee Tsung

  • Statistical monitoring of multi-stage processes based on engineering models

    Liming Xiang;Fugee Tsung

Frequent Co-Authors

Changliang Zou
Changliang Zou Nankai University
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Zhaojun Wang
Zhaojun Wang Nankai University
Philippe Castagliola
Philippe Castagliola University of Nantes
Jianjun Shi
Jianjun Shi Georgia Institute of Technology
Douglas C. Montgomery
Douglas C. Montgomery Arizona State University
Lifeng Xi
Lifeng Xi Shanghai Jiao Tong University
David Shan-Hill Wong
David Shan-Hill Wong National Tsing Hua University
George C. Runger
George C. Runger Arizona State University
Satish T. S. Bukkapatnam
Satish T. S. Bukkapatnam Texas A&M University

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