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ORCIDYu Ding 0002
Person information
- affiliation: Texas A&M University, Department of Industrial and Systems Engineering, College Station, TX, USA
- affiliation (PhD 2001): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Yu Ding — disambiguation page
- Yu Ding 0001
![[0000-0003-1834-4429]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1834-4429")
— Netease Fuxi AI Lab, Hangzhou, China (and 2 more) - Yu Ding 0003 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Yu Ding 0004 — Concordia University, Montreal, QC, Canada
- Yu Ding 0005 — Texas A&M University, College Station, TX, USA
Other persons with a similar name
- Yu-Shin Ding
- Yue Ding — disambiguation page
- Yuning Ding (aka: Yu-ning Ding, Yu-Ning Ding) — disambiguation page
- Yuxin Ding (aka: Yu-Xin Ding)
- Yue Ding 0001 — Shanghai Jiao Tong University, Shanghai, China
- Yue Ding 0002 — Hangzhou Dianzi University, Hangzhou, China
- Yu-Ding Lu
- Dingyu Xue (aka: Dingyü Xue, Ding-Yu Xue) — Northeastern University, Shenyang, Liaoning, China
- Dingli Yu (aka: Ding-Li Yu, D. L. Yu) — Liverpool John Moores University, Liverpool, UK
- Dingwen Yuan (aka: Ding-Wen Yu)
- show all similar names
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2020 – today
- 2024
[i7]Yinsong Wang, Yu Ding, Shahin Shahrampour:
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach. CoRR abs/2403.07207 (2024)- 2023
- [j41]Yinsong Wang, Yu Ding, Shahin Shahrampour:
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13831-13843 (2023) - [j40]Abhinav Prakash, Rui Tuo, Yu Ding:
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling. Technometrics 65(1): 70-82 (2023) - 2022
- [j39]Yei Eun Shin, Lan Zhou, Yu Ding:
Joint estimation of monotone curves via functional principal component analysis. Comput. Stat. Data Anal. 166: 107343 (2022) - [j38]Imtiaz Ahmed, Travis Galoppo, Xia Ben Hu, Yu Ding:
Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4110-4124 (2022) - [j37]Abhinav Prakash, Rui Tuo, Yu Ding:
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data. Technometrics 64(1): 92-102 (2022) - [j36]Imtiaz Ahmed, Mikyoung Jun, Yu Ding:
A Spatio-Temporal Track Association Algorithm Based on Marine Vessel Automatic Identification System Data. IEEE Trans. Intell. Transp. Syst. 23(11): 20783-20797 (2022) - [j35]Yaochen Xie, Yu Ding, Shuiwang Ji:
Augmented Equivariant Attention Networks for Microscopy Image Transformation. IEEE Trans. Medical Imaging 41(11): 3194-3206 (2022) - [c10]Kisuk Sung, W. Eric Brown, Erick Moreno-Centeno, Yu Ding:
GUM: A Guided Undersampling Method to Preprocess Imbalanced Datasets for Classification. CASE 2022: 1086-1091 - [c9]Yinsong Wang, Yu Ding, Shahin Shahrampour:
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach. DDDAS 2022: 275-282 - [i6]Yinsong Wang, Yu Ding, Shahin Shahrampour:
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. CoRR abs/2203.08317 (2022) - 2021
- [j34]Imtiaz Ahmed, Xia Ben Hu, Mithun P. Acharya, Yu Ding:
Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection. J. Mach. Learn. Res. 22: 34:1-34:32 (2021) - [i5]Imtiaz Ahmed, Satish T. S. Bukkapatnam, Bhaskar Botcha, Yu Ding:
Towards Futuristic Autonomous Experimentation-A Surprise-Reacting Sequential Experiment Policy. CoRR abs/2112.00600 (2021) - 2020
- [j33]Yanjun Qian, Jiaxi Xu, Lawrence F. Drummy, Yu Ding:
Effective Super-Resolution Methods for Paired Electron Microscopic Images. IEEE Trans. Image Process. 29: 7317-7330 (2020) - [c8]Chiwoo Park, Yu Ding:
Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology. DDDAS 2020: 132-139 - [i4]Imtiaz Ahmed, Xia Ben Hu, Mithun P. Acharya, Yu Ding:
Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point Anomaly Detection. CoRR abs/2001.06541 (2020) - [i3]Imtiaz Ahmed, Mikyoung Jun, Yu Ding:
A Spatio-temporal Track Association Algorithm Based on Marine Vessel Automatic Identification System Data. CoRR abs/2010.15921 (2020) - [i2]Imtiaz Ahmed, Travis Galoppo, Xia Ben Hu, Yu Ding:
Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection. CoRR abs/2010.15949 (2020) - [i1]Yaochen Xie, Yu Ding, Shuiwang Ji:
Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution. CoRR abs/2011.03633 (2020)
2010 – 2019
- 2019
- [j32]Imtiaz Ahmed, Aldo Dagnino, Yu Ding:
Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines. IEEE Trans Autom. Sci. Eng. 16(2): 654-667 (2019) - [c7]Imtiaz Ahmed, Travis Galoppo, Yu Ding:
O-LoMST: An Online Anomaly Detection Approach And Its Application In A Hydropower Generation Plant. CASE 2019: 762-767 - 2018
- [j31]Ahmed Aziz Ezzat, Arash Pourhabib, Yu Ding:
Sequential Design for Functional Calibration of Computer Models. Technometrics 60(3): 286-296 (2018) - [c6]Imtiaz Ahmed, Aldo Dagnino, Alessandro Bongiovi, Yu Ding:
Outlier Detection for Hydropower Generation Plant. CASE 2018: 193-198 - 2017
- [j30]Yaping Wang, Erick Moreno-Centeno, Yu Ding:
Matching Misaligned Two-Resolution Metrology Data. IEEE Trans Autom. Sci. Eng. 14(1): 222-237 (2017) - [j29]Ling Dong, Xiaodong Li, Dan Yu, Hui Zhang, Zhong Zhang, Yanjun Qian, Yu Ding:
Quantifying Nanoparticle Mixing State to Account for Both Location and Size Effects. Technometrics 59(3): 391-403 (2017) - 2016
- [j28]Arash Pourhabib, Jianhua Z. Huang, Yu Ding:
Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm. Technometrics 58(1): 138-147 (2016) - [j27]Yanjun Qian, Jianhua Z. Huang, Xiaodong Li, Yu Ding:
Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information. IEEE Trans. Image Process. 25(12): 5713-5726 (2016) - [c5]Erika Sy, Sam Ade Jacobs, Aldo Dagnino, Yu Ding:
Graph-based clustering for detecting frequent patterns in event log data. CASE 2016: 972-977 - 2015
- [j26]Arash Pourhabib, Bani K. Mallick, Yu Ding:
Absent data generating classifier for imbalanced class sizes. J. Mach. Learn. Res. 16: 2695-2724 (2015) - [j25]Eduardo Pérez, Lewis Ntaimo, Yu Ding:
Multi-component wind turbine modeling and simulation for wind farm operations and maintenance. Simul. 91(4): 360-382 (2015) - [j24]Yong Chen, V. Roshan Joseph, Yu Ding, Vijay N. Nair:
Editorial. Technometrics 57(3): 303-304 (2015) - 2013
- [j23]Chiwoo Park, Jianhua Z. Huang, Jim X. Ji, Yu Ding:
Segmentation, Inference and Classification of Partially Overlapping Nanoparticles. IEEE Trans. Pattern Anal. Mach. Intell. 35(3) (2013) - [j22]Elif I. Gokce, Abhishek K. Shrivastava, Yu Ding:
Fault Tolerance Analysis of Surveillance Sensor Systems. IEEE Trans. Reliab. 62(2): 478-489 (2013) - 2012
- [j21]Chiwoo Park, Jianhua Z. Huang, Yu Ding:
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression. J. Mach. Learn. Res. 13: 775-779 (2012) - 2011
- [j20]Gary M. Gaukler, Chenhua Li, Rory Cannaday, Sunil S. Chirayath, Yu Ding:
Detecting nuclear materials smuggling: using radiography to improve container inspection policies. Ann. Oper. Res. 187(1): 65-87 (2011) - [j19]Chiwoo Park, Jianhua Z. Huang, Yu Ding:
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets. J. Mach. Learn. Res. 12: 1697-1728 (2011) - [j18]Eunshin Byon, Eduardo Pérez, Yu Ding, Lewis Ntaimo:
Simulation of wind farm operations and maintenance using discrete event system specification. Simul. 87(12): 1093-1117 (2011) - [j17]Elif I. Gokce, Abhishek K. Shrivastava, Jung Jin Cho, Yu Ding:
Decision Fusion from Heterogeneous Sensors in Surveillance Sensor Systems. IEEE Trans Autom. Sci. Eng. 8(1): 228-233 (2011) - [j16]Kiavash Kianfar, Arash Pourhabib, Yu Ding:
An Integer Programming Approach for Analyzing the Measurement Redundancy in Structured Linear Systems. IEEE Trans Autom. Sci. Eng. 8(2): 447-450 (2011) - 2010
- [j15]Chiwoo Park, Jianhua Z. Huang, Yu Ding:
A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection. Oper. Res. 58(5): 1469-1480 (2010) - [j14]Jung Jin Cho, Yu Ding, Yong Chen, Jiong Tang:
Robust Calibration for Localization in Clustered Wireless Sensor Networks. IEEE Trans Autom. Sci. Eng. 7(1): 81-95 (2010) - [j13]Eunshin Byon, Lewis Ntaimo, Yu Ding:
Optimal Maintenance Strategies for Wind Turbine Systems Under Stochastic Weather Conditions. IEEE Trans. Reliab. 59(2): 393-404 (2010) - [c4]Eduardo Pérez, Lewis Ntaimo, Eunshin Byon, Yu Ding:
A stochastic DEVS wind turbine component model for wind farm simulation. SpringSim 2010: 138
2000 – 2009
- 2009
- [j12]Jung Jin Cho, Yong Chen, Yu Ding:
Calculating the Breakdown Point of Sparse Linear Models. Technometrics 51(1): 34-46 (2009) - 2008
- [j11]Yuan Ren, Yu Ding, Faming Liang:
Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. Stat. Comput. 18(4): 375-390 (2008) - [c3]Chiwoo Park, Yu Ding, Eunshin Byon:
Collaborative data reduction for energy efficient sensor networks. CASE 2008: 442-447 - 2007
- [j10]Jung Jin Cho, Yong Chen, Yu Ding:
On the (co)girth of a connected matroid. Discret. Appl. Math. 155(18): 2456-2470 (2007) - [c2]Jung Jin Cho, Yu Ding, Yong Chen, Jiong Tang:
Robust Calibration for Localization in Clustered Wireless Sensor Networks. CASE 2007: 919-924 - [c1]Yu Ding, Eunshin Byon, Chiwoo Park, Jiong Tang, Yi Lu, Xin Wang:
Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems. International Conference on Computational Science (1) 2007: 1197-1204 - 2006
- [j9]Yu Ding, Jianjun Shi:
Editorial Special Section on Distributed Sensing for Quality and Productivity Improvement. IEEE Trans Autom. Sci. Eng. 3(4): 342-343 (2006) - [j8]Yu Ding, Elsayed A. Elsayed, S. Kumara, Jye-Chyi Lu, Feng Niu, Jianjun Shi:
Distributed Sensing for Quality and Productivity Improvements. IEEE Trans Autom. Sci. Eng. 3(4): 344-359 (2006) - [j7]Yong Chen, Yu Ding, Jionghua Jin, Dariusz Ceglarek:
Integration of Process-Oriented Tolerancing and Maintenance Planning in Design of Multistation Manufacturing Processes. IEEE Trans Autom. Sci. Eng. 3(4): 440-453 (2006) - 2005
- [j6]Daniel W. Apley, Yu Ding:
A characterization of diagnosability conditions for variance components analysis in assembly operations. IEEE Trans Autom. Sci. Eng. 2(2): 101-110 (2005) - [j5]Yu Ding:
Design and Analysis of Accelerated Tests for Mission-Critical Reliability. Technometrics 47(2): 240 (2005) - [j4]Pansoo Kim, Yu Ding:
Optimal Engineering System Design Guided by Data-Mining Methods. Technometrics 47(3): 336-348 (2005) - 2004
- [j3]Pansoo Kim, Yu Ding:
Optimal design of fixture layout in multistation assembly processes. IEEE Trans Autom. Sci. Eng. 1(2): 133-145 (2004) - 2003
- [j2]Shiyu Zhou, Yu Ding, Yong Chen, Jianjun Shi:
Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models. Technometrics 45(4): 312-325 (2003) - [j1]Yu Ding, Pansoo Kim, Dariusz Ceglarek, Jionghua Jin:
Optimal sensor distribution for variation diagnosis in multistation assembly processes. IEEE Trans. Robotics Autom. 19(4): 543-556 (2003)
Coauthor Index
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