Fugee Tsung

Orcid: 0000-0002-0575-8254

According to our database1, Fugee Tsung authored at least 87 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Wind Power Forecasting Based on a Spatial-Temporal Graph Convolution Network With Limited Engineering Knowledge.
IEEE Trans. Instrum. Meas., 2024

Tensor-based process control and monitoring for semiconductor manufacturing with unstable disturbances.
CoRR, 2024

2023
A Phase II score-based distribution-free method for jointly monitoring location and scale.
Qual. Reliab. Eng. Int., November, 2023

Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach.
Data Min. Knowl. Discov., May, 2023

An Incremental Unified Framework for Small Defect Inspection.
CoRR, 2023

Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.
CoRR, 2023

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation.
CoRR, 2023

Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering.
CoRR, 2023

Missing Data Imputation with Graph Laplacian Pyramid Network.
CoRR, 2023

Deep Insights into Noisy Pseudo Labeling on Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

A Co-training Approach for Noisy Time Series Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection.
ACM Trans. Knowl. Discov. Data, 2022

Sparse and Robust Multivariate Functional Principal Component Analysis for Passenger Flow Pattern Discovery in Metro Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Directional PCA for Fast Detection and Accurate Diagnosis: A Unified Framework.
IEEE Trans. Cybern., 2022

Bayesian cross-product quality control via transfer learning.
Int. J. Prod. Res., 2022

Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation.
Data Min. Knowl. Discov., 2022

Latent Augmentation For Better Graph Self-Supervised Learning.
CoRR, 2022

GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Attention-based Representation Learning for Time Series with Principal and Residual Space Monitoring.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Sparse and Structured Function-on-Function Quality Predictive Modeling by Hierarchical Variable Selection and Multitask Learning.
IEEE Trans. Ind. Informatics, 2021

Nonparametric monitoring of multivariate data via KNN learning.
Int. J. Prod. Res., 2021

Hierarchical sparse functional principal component analysis for multistage multivariate profile data.
IISE Trans., 2021

A hybrid transfer learning framework for in-plane freeform shape accuracy control in additive manufacturing.
IISE Trans., 2021

A risk-adjusted approach to monitoring surgery for survival outcomes based on a weighted score test.
Comput. Ind. Eng., 2021

Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Transformer Based Spatial-Temporal Fusion Network for Metro Passenger Flow Forecasting.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Time-Warped Sparse Non-negative Factorization for Functional Data Analysis.
ACM Trans. Knowl. Discov. Data, 2020

A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control.
Technometrics, 2020

Configuration-Based Smart Customization Service: A Multitask Learning Approach.
IEEE Trans Autom. Sci. Eng., 2020

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile.
IEEE Robotics Autom. Lett., 2020

Change detection of profile with jumps and its application to 3D printing.
Comput. Ind. Eng., 2020

Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Fast and Robust Nonparametric Monitoring Scheme for Free-Form Surface Scanning Data.
IEEE Trans Autom. Sci. Eng., 2019

A control scheme for monitoring process covariance matrices with more variables than observations.
Qual. Reliab. Eng. Int., 2019

Economic parameter design for ultra-fast laser micro-drilling process.
Int. J. Prod. Res., 2019

Monitoring the data quality of data streams using a two-step control scheme.
IISE Trans., 2019

The internet of things for smart manufacturing: A review.
IISE Trans., 2019

Stability conditions and robustness analysis of a general MMSE run-to-run controller.
IISE Trans., 2019

Real-time quality monitoring and diagnosis for manufacturing process profiles based on deep belief networks.
Comput. Ind. Eng., 2019

Monitoring of power consumption requirement load process and price adjustment for smart grid.
Comput. Ind. Eng., 2019

2018
Registration-free monitoring of multimode near-circular shape profiles.
Qual. Reliab. Eng. Int., 2018

A robust CUSUM scheme with a weighted likelihood ratio to monitor an overdispersed counting process.
Comput. Ind. Eng., 2018

Adaptive monitoring of multimodal data.
Comput. Ind. Eng., 2018

2017
Statistical Process Control for Latent Quality Characteristics Using the Up-and-Down Test.
Technometrics, 2017

In-Plane Shape-Deviation Modeling and Compensation for Fused Deposition Modeling Processes.
IEEE Trans Autom. Sci. Eng., 2017

A Statistical Transfer Learning Perspective for Modeling Shape Deviations in Additive Manufacturing.
IEEE Robotics Autom. Lett., 2017

A phase I multi-modelling approach for profile monitoring of signal data.
Int. J. Prod. Res., 2017

Ordinal profile monitoring with random explanatory variables.
Int. J. Prod. Res., 2017

A robust self-starting spatial rank multivariate EWMA chart based on forward variable selection.
Comput. Ind. Eng., 2017

2016
Statistical Monitoring of Service Levels and Staffing Adjustments for Call Centers.
Qual. Reliab. Eng. Int., 2016

A control scheme for autocorrelated bivariate binomial data.
Comput. Ind. Eng., 2016

2015
A general framework for monitoring complex processes with both in-control and out-of-control information.
Comput. Ind. Eng., 2015

2014
LASSO-based diagnosis scheme for multistage processes with binary data.
Comput. Ind. Eng., 2014

Shape deviation modeling for fused deposition modeling processes.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2012
Multiple Attribute Control Charts with False Discovery Rate Control.
Qual. Reliab. Eng. Int., 2012

LASSO-based multivariate linear profile monitoring.
Ann. Oper. Res., 2012

Foreword.
Ann. Oper. Res., 2012

2011
Statistical Quality Control: Recent Advances.
Proceedings of the International Encyclopedia of Statistical Science, 2011

A Multivariate Sign EWMA Control Chart.
Technometrics, 2011

A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control.
Technometrics, 2011

2010
Comment.
Technometrics, 2010

Editorial - INFORMS 2009 annual meeting.
Qual. Reliab. Eng. Int., 2010

2009
Tolerance Intervals With Improved Coverage Probabilities for Binomial and Poisson Variables.
Technometrics, 2009

False Discovery Rate-Adjusted Charting Schemes for Multistage Process Monitoring and Fault Identification.
Technometrics, 2009

An adaptive dimension reduction scheme for monitoring feedback-controlled processes.
Qual. Reliab. Eng. Int., 2009

An improved run-to-run process control scheme for categorical observations with misclassification errors.
Qual. Reliab. Eng. Int., 2009

Adaptive charting schemes based on double sequential probability ratio tests.
Qual. Reliab. Eng. Int., 2009

2008
Monitoring Profiles Based on Nonparametric Regression Methods.
Technometrics, 2008

A Change Point Approach for Phase I Analysis in Multistage Processes.
Technometrics, 2008

Monitoring autocorrelated processes using variable sampling schemes at fixed-times.
Qual. Reliab. Eng. Int., 2008

2007
Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes.
Technometrics, 2007

Pushing Quality Improvement Along Supply Chains.
Manag. Sci., 2007

Evolving kernel principal component analysis for fault diagnosis.
Comput. Ind. Eng., 2007

2006
Relationships Among Control Charts Used with Feedback Control.
Qual. Reliab. Eng. Int., 2006

A Comparative Study of Joint Monitoring Schemes for APC Processes.
Qual. Reliab. Eng. Int., 2006

Monitoring Multivariate Processes Using an Adaptive T2 Chart.
Proceedings of the IEEE International Conference on Systems, 2006

2002
Proportional Integral Derivative Charts for Process Monitoring.
Technometrics, 2002

2000
Impact of information sharing on statistical quality control.
IEEE Trans. Syst. Man Cybern. Part A, 2000

Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000


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