Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models. - Shiyu Zhou; Yu Ding 002; Yong Chen; Jianjun Shi 001 (Technometrics, 2003)

Optimal sensor distribution for variation diagnosis in multistation assembly processes. - Yu Ding 002; Pansoo Kim; Dariusz Ceglarek; Jionghua Jin 001 (IEEE Trans. Robotics Autom., 2003)

Optimal design of fixture layout in multistation assembly processes. - Pansoo Kim; Yu Ding 002 (IEEE Trans Autom. Sci. Eng., 2004)

A characterization of diagnosability conditions for variance components analysis in assembly operations. - Daniel W. Apley; Yu Ding 002 (IEEE Trans Autom. Sci. Eng., 2005)

Design and Analysis of Accelerated Tests for Mission-Critical Reliability. - Yu Ding 002 (Technometrics, 2005)

Optimal Engineering System Design Guided by Data-Mining Methods. - Pansoo Kim; Yu Ding 002 (Technometrics, 2005)

Integration of Process-Oriented Tolerancing and Maintenance Planning in Design of Multistation Manufacturing Processes. - Yong Chen; Yu Ding 002; Jionghua Jin 001; Dariusz Ceglarek (IEEE Trans Autom. Sci. Eng., 2006)

Distributed Sensing for Quality and Productivity Improvements. - Yu Ding 002; Elsayed A. Elsayed; S. Kumara; Jye-Chyi Lu; Feng Niu; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2006)

Editorial Special Section on Distributed Sensing for Quality and Productivity Improvement. - Yu Ding 002; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2006)

Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems. - Yu Ding 002; Eunshin Byon; Chiwoo Park; Jiong Tang; Yi Lu; Xin Wang (International Conference on Computational Science (1), 2007)

On the (co)girth of a connected matroid. - Jung Jin Cho; Yong Chen; Yu Ding 002 (Discret. Appl. Math., 2007)

Collaborative data reduction for energy efficient sensor networks. - Chiwoo Park; Yu Ding 002; Eunshin Byon (CASE, 2008)

Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. - Yuan Ren 002; Yu Ding 002; Faming Liang (Stat. Comput., 2008)

Calculating the Breakdown Point of Sparse Linear Models. - Jung Jin Cho; Yong Chen; Yu Ding 002 (Technometrics, 2009)

A stochastic DEVS wind turbine component model for wind farm simulation. - Eduardo Pérez; Lewis Ntaimo; Eunshin Byon; Yu Ding 002 (SpringSim, 2010)

A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (Oper. Res., 2010)

Robust Calibration for Localization in Clustered Wireless Sensor Networks. - Jung Jin Cho; Yu Ding 002; Yong Chen; Jiong Tang (IEEE Trans Autom. Sci. Eng., 2010)

Optimal Maintenance Strategies for Wind Turbine Systems Under Stochastic Weather Conditions. - Eunshin Byon; Lewis Ntaimo; Yu Ding 002 (IEEE Trans. Reliab., 2010)

Detecting nuclear materials smuggling: using radiography to improve container inspection policies. - Gary M. Gaukler; Chenhua Li; Rory Cannaday; Sunil S. Chirayath; Yu Ding 002 (Ann. Oper. Res., 2011)

Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (J. Mach. Learn. Res., 2011)

Simulation of wind farm operations and maintenance using discrete event system specification. - Eunshin Byon; Eduardo Pérez; Yu Ding 002; Lewis Ntaimo (Simul., 2011)

Decision Fusion from Heterogeneous Sensors in Surveillance Sensor Systems. - Elif I. Gokce; Abhishek K. Shrivastava; Jung Jin Cho; Yu Ding 002 (IEEE Trans Autom. Sci. Eng., 2011)

An Integer Programming Approach for Analyzing the Measurement Redundancy in Structured Linear Systems. - Kiavash Kianfar; Arash Pourhabib; Yu Ding 002 (IEEE Trans Autom. Sci. Eng., 2011)

GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (J. Mach. Learn. Res., 2012)

Segmentation, Inference and Classification of Partially Overlapping Nanoparticles. - Chiwoo Park; Jianhua Z. Huang; Jim X. Ji; Yu Ding 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Fault Tolerance Analysis of Surveillance Sensor Systems. - Elif I. Gokce; Abhishek K. Shrivastava; Yu Ding 002 (IEEE Trans. Reliab., 2013)

Absent data generating classifier for imbalanced class sizes. - Arash Pourhabib; Bani K. Mallick; Yu Ding 002 (J. Mach. Learn. Res., 2015)

Multi-component wind turbine modeling and simulation for wind farm operations and maintenance. - Eduardo Pérez; Lewis Ntaimo; Yu Ding 002 (Simul., 2015)

Editorial. - Yong Chen; V. Roshan Joseph; Yu Ding 002; Vijay N. Nair (Technometrics, 2015)

Graph-based clustering for detecting frequent patterns in event log data. - Erika Sy; Sam Ade Jacobs; Aldo Dagnino; Yu Ding 002 (CASE, 2016)

Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm. - Arash Pourhabib; Jianhua Z. Huang; Yu Ding 002 (Technometrics, 2016)

Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information. - Yanjun Qian; Jianhua Z. Huang; Xiaodong Li; Yu Ding 002 (IEEE Trans. Image Process., 2016)

Matching Misaligned Two-Resolution Metrology Data. - Yaping Wang; Erick Moreno-Centeno; Yu Ding 002 (IEEE Trans Autom. Sci. Eng., 2017)

Quantifying Nanoparticle Mixing State to Account for Both Location and Size Effects. - Ling Dong; Xiaodong Li; Dan Yu; Hui Zhang; Zhong Zhang; Yanjun Qian; Yu Ding 002 (Technometrics, 2017)

Outlier Detection for Hydropower Generation Plant. - Imtiaz Ahmed 002; Aldo Dagnino; Alessandro Bongiovi; Yu Ding 002 (CASE, 2018)

Sequential Design for Functional Calibration of Computer Models. - Ahmed Aziz Ezzat; Arash Pourhabib; Yu Ding 002 (Technometrics, 2018)

O-LoMST: An Online Anomaly Detection Approach And Its Application In A Hydropower Generation Plant. - Imtiaz Ahmed 002; Travis Galoppo; Yu Ding 002 (CASE, 2019)

Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines. - Imtiaz Ahmed 002; Aldo Dagnino; Yu Ding 002 (IEEE Trans Autom. Sci. Eng., 2019)

Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology. - Chiwoo Park; Yu Ding 002 (DDDAS, 2020)

Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point Anomaly Detection. - Imtiaz Ahmed 002; Xia Ben Hu; Mithun P. Acharya; Yu Ding 002 (CoRR, 2020)

Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution. - Yaochen Xie; Yu Ding 002; Shuiwang Ji (CoRR, 2020)

Effective Super-Resolution Methods for Paired Electron Microscopic Images. - Yanjun Qian; Jiaxi Xu; Lawrence F. Drummy; Yu Ding 002 (IEEE Trans. Image Process., 2020)

Towards Futuristic Autonomous Experimentation-A Surprise-Reacting Sequential Experiment Policy. - Imtiaz Ahmed 002; Satish T. S. Bukkapatnam; Bhaskar Botcha; Yu Ding 002 (CoRR, 2021)

Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection. - Imtiaz Ahmed 002; Xia Ben Hu; Mithun P. Acharya; Yu Ding 002 (J. Mach. Learn. Res., 2021)

GUM: A Guided Undersampling Method to Preprocess Imbalanced Datasets for Classification. - Kisuk Sung; W. Eric Brown; Erick Moreno-Centeno; Yu Ding 002 (CASE, 2022)

Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach. - Yinsong Wang; Yu Ding 002; Shahin Shahrampour (DDDAS, 2022)

Joint estimation of monotone curves via functional principal component analysis. - Yei Eun Shin; Lan Zhou; Yu Ding 002 (Comput. Stat. Data Anal., 2022)

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection. - Imtiaz Ahmed 002; Travis Galoppo; Xia Ben Hu; Yu Ding 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Gaussian Process-Aided Function Comparison Using Noisy Scattered Data. - Abhinav Prakash; Rui Tuo; Yu Ding 002 (Technometrics, 2022)

A Spatio-Temporal Track Association Algorithm Based on Marine Vessel Automatic Identification System Data. - Imtiaz Ahmed 002; Mikyoung Jun; Yu Ding 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Augmented Equivariant Attention Networks for Microscopy Image Transformation. - Yaochen Xie; Yu Ding 002; Shuiwang Ji (IEEE Trans. Medical Imaging, 2022)

The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling. - Abhinav Prakash; Rui Tuo; Yu Ding 002 (Technometrics, 2023)

TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. - Yinsong Wang; Yu Ding 002; Shahin Shahrampour (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Toward Futuristic Autonomous Experimentation - A Surprise-Reacting Sequential Experiment Policy. - Imtiaz Ahmed 002; Satish T. S. Bukkapatnam; Bhaskar Botcha; Yu Ding 002 (IEEE Trans Autom. Sci. Eng., 2025)