Xiaowei Yue-Department of Industrial Engineering, Tsinghua University

Home
Introduction
Organization
Education

Undergraduate Program Master's Program Ph.D. Program ABET ACCREDITATION

The bachelors's degree in Industrial Engineering at Tsinghua requires 170 credits totally, which include: spring & fall courses 142 credits, summer practicum 13 credits, and thesis project 15 credits. The 170 credits constitution is: General

The Master of Science degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program usually in 2 years. Besides the required Master's thesis, the Industrial Engineering program requires 30 credits, con

The Philosophy of Doctor degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program in at least 3 to 5 years.

PEOThe current PEO is:Employ industrial engineering theories, and analytical and management skills for incre
Research

Introduction Institute of Operations Research and Data Science Institute of System Operation and Digital Management Institute of Human Factors and Human-System Interaction Research Centers IE Laboratories

The Department of Industrial Engineering is devoted to solving efficiency, quality, cost and safety problems in industrial and service systems. The challenges in contemporary society are mostly complicated system problems, such as management of global production networks, establishment of efficient public healthcare systems, construction of traffic and transport systems and their operation networ

We apply state-of-the-art decision science and statistics knowledge to the development of the Chinese economy. To be specific, we use data-driven decision...

Human Factor and Ergonomics studies the correlations and interactions between human, tool, machine and environment in system, and promote the total productivity of human-machine system as well as people's health, security and the quality of life.

The research centers at the department are platforms for the collaboration and communication between the department and industries. They serve through research, technology transfer, management consulting, and continuous education & training. Below ar

The IE department has four laboratories: Human Factors Engineering Lab (HFEL), Logistics Engineering Lab (LEL), Production Engineering Lab (PEL), and Computing and Simulation Lab (CSL).
People

Academic Faculty Research Staff Advisory Board Honorary Professors Guest Professors Distinguished Visiting Professors Lab Engineers Post Doctorates

The department is well structured by a team of 30 highly qualified faculty members, including 7 full professors, 17 associate professors, and 6 assistant professors. The founding chaired professor and department head is Dr. Gavriel Salvendy, who is a prof

Dr. Gavriel Salvendy Chair of the Review Board
University Distinguished Professor
University of Central Florida,and President Academy of Science, Engineering and Medicine of Florida
Member of National Academy of Engineering, US

Dr Hubertus ChristPresident of VDI ( Verein Deutscher Ingenieure,Germany)Time of appointment: 2002-2008Mr. Tome LeamonVi

Professor David W. Coit, Professor Uday Kumar, Professor Ting Li

办公室职员

博士后
News

Notice News Seminars

[Time] 9:00-10:00, April 11 (Saturday), 2020 [Location] Online
Lotus Pond Rain Classroom: W141WB
ZOOM ID: 660 896 190
Tencent ID: 526 217 861
[Speaker] Dr. Luyi Yang
[Title] A Model of Queue-Scalping
Student

Introduction Undergraduate Activities Graduate Activities

The department has one associate chair as the department-level student advisory board director. The board has an undergraduate branch and a graduate branch. Each branch is formed by class advisors, class assistants, student union, Youth League, and Scienc The IE department has eight undergraduate classes (each grade has two classes of about 70 students). Also we have two faculty members as the advisors for the freshmen, two for the sophomores, one for the juniors, and o

The students are required to participate in extracurricular activities in order to prepare themselves with not only knowledge in IE, but also Teamwork and interpersonal skills, Leadership, and Social responsibilities. The university-level student advisor
Admission

Undergraduate Program Master's Program Ph.D. Program

The Bachelor program requires 173 credits, consisting of 136 credits in spring/fall semesters, 4 credits in senior projects, 18 credits in summer practice and military training, and 15 credits of a final thesis. The courses are classified into five catego

International programs have been initiated since 2001 including the Tsinghua-Aachen joint master program and Tsinghua-Gatech exchange program. And a two-year, professional-orientated Master's program in Management Science and Engineering (Global Manufactu

The doctoral degree program usually lasts 3 to 5 years. Students with Master's degree usually spend 3 to 4 years. The program has 22 credits consisting of 13 credits of core courses, and 5 credits of research requirements. Students without an IE related M

Current location: Home >> People >> Academic Faculty >> Content

Xiaowei Yue, Associate Professor

Contacts

Name: Xiaowei Yue Phone: E-mail: yuex@tsinghua.edu.cn Fax: Address: Room 509, Shunde Building, Tsinghua University Homepage:

Biography

Dr. Xiaowei Yue is an associate professor in the Department of Industrial Engineering at Tsinghua University. Prior to that, he was an assistant professor and Grado Early Career Faculty Fellow at Virginia Tech. Dr. Yue’s research interests focus on engineering-driven data analytics for intelligent manufacturing. His research has obtained more than 15 best paper awards and two best dissertation awards. Dr. Yue is a recipient of multiple awards, such as IISE Hamed K. Eldin Outstanding Early Career IE in Academia Award, SME Outstanding Young Manufacturing Engineer award, IISE Manufacturing & Design Outstanding Young Investigator Award, and Grainger Frontiers of Engineering Grant Award from the U.S. National Academy of Engineering, etc. He serves as an associate editor for IISE Transactions, Journal of Intelligent Manufacturing, and IEEE Transactions on Neural Networks and Learning Systems. He is also selected to be an editorial board member for PNAS Nexus, an open-access journal of the National Academy of Sciences (NAS). Dr. Yue serves as a board director for the IISE DAIS division and QCRE division.

Educational Background

Ph.D. Industrial Engineering, Georgia Institute of Technology, 2018

M.S. Statistics, Georgia Institute of Technology, 2016

M.S. Power Engineering and Thermo-physics, Tsinghua University, 2013

B.S. Mechanical Engineering, Beijing Institute of Technology, 2011

Research Interests

Quality Engineering: High Precision Quality Management for Manufacturing and Service Systems

Intelligent Manufacturing: Digital Twin, Digital Manufacturing

Data Science: Physics-informed Machine Learning for System Intelligence

Honors and Awards

Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award, IISE (2023)

Grado Early Career Faculty Fellow, Virginia Tech ISE (2022)

Grainger Frontiers of Engineering Grant Award, by U.S. National Academy of Engineering (NAE) (2022)

IISE Manufacturing & Design Division Outstanding Young Investigator Award, IISE (2022).

Sandra L. Bouckley Outstanding Young Manufacturing Engineer Award, Society of Manufacturing Engineers (SME) (2022)

SPES (Statistics in Physical Engineering Sciences) Award, American Statistical Association (ASA) (2022)

Robert J. Lyman Award (2022)

National Distinction Program, Virginia Tech (2022)

Selected to the US Frontiers of Engineering Symposium, by the National Academy of Engineering (NAE) (2021)

DOD MEEP Faculty Fellow (2020-2022)

ICTAS Junior Faculty Award, Virginia Tech (2019)

FTC Early Career Grant Award, American Society for Quality (ASQ) (2019)

Pritsker Doctoral Dissertation Award, Institute of Industrial and Systems Engineers (IISE) (2019)

Elwood S. Buffa Doctoral Dissertation Award Finalist, Decision Sciences Institute (2019)

Mary G. and Joseph Natrella Scholarship, American Statistical Association (ASA) (2018)

ISA Scholarship, International Society of Automation (2018)

Alice and John Jarvis Ph.D. Student Research Award, Honorable Mention, Georgia Tech (2018)

IISE Outstanding Graduate Award, Georgia Tech (2017)

Dr. Yue also won more than 15 best paper awards, including IISE Transactions Best Paper award (2023), IEEE Transactions on Automation Science and Engineering Best Paper award (2018), etc.

Course Teaching

• Statistical Quality Control,

• Machine Learning for System Intelligence,

• Data Management,

• Data Analytics for Manufacturing Systems

Student Mentoring

Dr. Yue has advised 4 Ph.D. graduate students. Three former Ph.D. students have graduated and became assistant professors at research universities. His former Ph.D. student’s dissertation has been selected to win the IISE Pritsker Doctoral Dissertation Award and ASME Computers & Information in Engineering (CIE) Best Dissertation Award. He also advised multiple graduate students and undergraduate students.

Publications

35. Lee, C., Wang, K., Wu, J., Cai, W., Yue, X.*, (2023) “Partitioned Active Learning for Heterogeneous Systems”, ASME Transactions, Journal of Computing and Information Science in Engineering.

• INFORMS Quality, Statistics and Reliability (QSR) Best Paper Award Finalist in 2021.

34. Lee, C., Wang, X., Wu, J., Yue, X.*, (2023) “Failure-averse Active Learning for physics-constrained systems”, IEEE Transactions on Automation Science and Engineering.

INFORMS DMDA Workshop Best Theoretical Paper Award Finalist in 2022.

33. Wang, Y., Sun, W., Jin, J., Kong, Z., Yue, X.*, (2023) “MVGCN: Multi-view Graph Convolutional Neural Network for Surface Defect Identification using 3D Point Cloud”, ASME Transactions, Journal of Manufacturing Science and Engineering, 145(3): 031004.

32. Wang, Y., Wang, M., AlBahar, A., Yue, X.*, (2022) “Nested Bayesian Optimization for Computer Experiments”, IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/TMECH.2022.3202079.

31. AlBahar, A., Kim, I., Wang, X., Yue, X.*, (2023) “Physics-Constrained Bayesian Optimization for Optimal Actuators Placement in Composite Structures Assembly”, IEEE Transactions on Automation Science and Engineering.

30. Gao, Y., Wang, X., Son, J., Yue, X., Wu, J., (2022+) “Hierarchical Modeling of Microstructural Images for Porosity Prediction in Metal Additive Manufacturing via Two-point Correlation Function”, IISE Transactions, DOI: 10.1080/24725854.2022.2115593.

29. Mou, S., Biehler, M., Yue, X.*, Hunt, J. H., Shi, J.,(2022+) “SPAC: Sparse Sensor Placement Based Adaptive Control for High Precision Fuselage Assembly”, IISE Transactions, DOI: 10.1080/24725854.2022.2116133.

• IISE Data Analytics and Information System (DAIS) Best Student Paper Award Finalist, 2022.

28. Li, Z., Li, Y., Yue, X., Zio E., Wu. J., (2022) “A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction”, IEEE Transactions on Instrumentation & Measurement, DOI: 10.1109/TIM.2022.3195280.

27. Wang, W., Yue, X., Haaland, B., Wu, J., (2022) “Gaussian Process with Input Location Error and Applications to the Composite Parts Assembly Process”, SIAM/ASA Journal on Uncertainty Quantification, 10(2), pp.619-650, DOI: https://doi.org/10.1137/20M1312447.

26. Xu, R., Wu, J., Yue, X., Li, Y., (2023) “Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning”, Technometrics, 65(1), pp.19-32, DOI: 10.1080/00401706.2022.2046171.

• INFORMS Quality, Statistics and Reliability (QSR) Best Student Paper Award Finalist in 2020.

25. Liu, Y., Zhao, W., Liu, H., Wang, Y., Yue, X.*,(2022) “Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty”, IEEE/ASME Transactions on Mechatronics, 27(5), pp. 3482-3493, DOI: 10.1109/TMECH.2022.3142756.

24. AlBahar, A., Kim, I., Yue, X.*, (2022) “A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems”, IEEE Transactions on Automation Science and Engineering, 19(4), pp. 3222-3233, DOI: 10.1109/TASE.2021.3114157.

23. Wang, Y., Wang, K., Cai, W., Yue, X.*, (2022) “NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis”, IISE Transactions, 54(3), pp.211-226, DOI: 10.1080/24725854.2021.1891485.

• IISE Transactions Best Paper Award (Design and Manufacturing Focus Issue) in 2023

• INFORMS Quality, Statistics and Reliability (QSR) Best Student Paper Award Finalist in 2021.

• ASME MSEC Best Poster Award in NAMRC/MSEC 2021.

22. Wang, Y., Guo, W., Yue, X.*, (2022) “Tensor decomposition to Compress Convolutional Layers in Deep Learning”, IISE Transactions, 54(5), pp. 481-495, DOI: 10.1080/24725854.2021.1894514.

• IISE Transactions Best Paper Award (Data Science, Quality and Reliability Focus Issue) in 2023

• Research Featured by the ISE Magazine

• Editor’s Choice to an IISE Transactions Invited Session at INFORMS 2021.

21. Liu, Y., Zhao, W., Lutz, T.O., Yue, X.*,(2022) “Task Allocation and Coordinated Motion Planning for Autonomous Multi-Robot Optical Inspection Systems”, Journal of Intelligent Manufacturing, 33, pp. 2457-2470, DOI: 10.1007/s10845-021-01803-1.

20. Wang, R., Wang, Y., Devadiga, S., Perkins, I., Kong, Z., Yue, X.*, (2021) “Structured Light Three-Dimensional Scanning for Process Monitoring and Quality Control in Precast Concrete Production”, PCI Journal, 66(6), pp. 17-32, November-December, 2021.

• Robert J. Lyman Award in 2022, by the Precast/Prestressed Concrete Institute (PCI)

19. Lahoti, G., Chen, J., Yue, X., Yan, H., Ranjan, C., Qian, Z., Zhang, C., Wang, B., (2021) “Image Decomposition-based Sparse Extreme Pixel-level Feature Detection with Application to Medical Treatment Planning”, IISE Transactions on Healthcare Systems Engineering, 11(4), pp.338-354, DOI: 10.1080/24725579.2021.1910599.

18. Wang, Y., Oyen, D., Guo, W., Mehta, A., Scott, C.B., Panda, N.,Fernandez-Godino, M.G., Srinivasan, G., Yue, X.* (2021) “StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials”, NPJ Materials Degradation, 5(6).

17. Lee, C., Wu, J., Wang, W., Yue, X.*, (2022) “Neural Network Gaussian Process considering Input Uncertainty for Composite Structures Assembly”, IEEE/ASME Transactions on Mechatronics, 27(3), pp. 1267-1277, DOI: 10.1109/TMECH.2020.3040755.

• IISE Data Analytics & Information Systems Best Student Paper Award in 2020.

• ASA QPRC Best Poster Award in the Quality and Productivity Research Conference in 2021.

16. Wang, K., Wang, Y., Yue, X.*, Cai, W.* (2021) “Multiphysics Modeling and Uncertainty Quantification of Tribocorrosion in Aluminum Alloys”, Corrosion Science, 178, pp.109095, DOI: https://doi.org/10.1016/j.corsci.2020.109095.

15. Yue, X., Wen, Y., Hunt, J.H., Shi, J., (2021) "Active Learning for Gaussian Process considering Uncertainties, with Application to Shape Control of Composite Fuselage", IEEE Transactions on Automation Science and Engineering, 18(1), pp. 36-46, DOI: 10.1109/TASE.2020.2990401.

14. Gao, Z., Guo, W., Yue, X., (2021) “Optimal Integration of Supervised Tensor Decomposition and Ensemble Learning for in-situ Quality Evaluation in Friction Stir Blind Riveting”, IEEE Transactions on Automation Science and Engineering, 18(1), pp. 19-35, DOI: 10.1109/TASE.2019.2955397.

13. Li, Z., Wu, J., Yue, X., (2021) “A Shape Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction”, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 11, pp. 5022-5033, Nov. 2021, DOI: 10.1109/TNNLS.2020.3026644.

12. Liu, Y., Zhao, W., Sun, R., Yue, X.*,(2020) “Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces on the Auto Body”, Journal of Manufacturing Systems, 56, pp.84-92.

11. Wang, Y., Yue, X., Tuo, R., Hunt, J. H., Shi, J., (2020) “Effective Model Calibration via Sensible Variable Identification and Adjustment, with application to Composite Fuselage Simulation”, Annals of Applied Statistics, 14(4), pp.1759-1776.

• SPES Award (Statistics in Physical Engineering Sciences Award) in 2022, by ASA.

• INFORMS Quality, Statistics and Reliability (QSR) Best Refereed Paper Award Finalist in 2017.

10. Shi, X., Yue, X.*, Liang, Z., Shi, J., (2020) “Real-time Data-driven Quality Assessment for Continuous Manufacturing of Carbon Nanotube Buckypaper”, IEEE Transactions on Nanotechnology, 19, pp.350-359. DOI: 10.1109/TNANO.2020.2989397.

9. Du, J., Yue, X., Hunt, J. H., Shi, J., (2019) “Optimal Placement of Actuators Via Sparse Learning for Composite Fuselage Shape Control”, ASME Transactions, Journal of Manufacturing Science and Engineering, 141(10): 101004, DOI:10.1115/1.4044249.

• INFORMS Quality, Statistics and Reliability (QSR) Best Refereed Paper Award Finalist in 2018.

8. Yue, X., Park, J. G., Liang, Z., Shi, J., (2019) “Tensor Mixed Effects Model with Application to Nanomanufacturing Inspection”, Technometrics, 62(1), pp.116-129.

• INFORMS Data Mining Best Paper Award Finalist in 2017.

7. Wen, Y., Yue, X., Hunt, J.H., Shi, J., (2019) "Virtual Assembly and Residual Stress Analysis for the Composite Fuselage Assembly Process", Journal of Manufacturing Systems, 52, pp.55-62.

6. Yue, X., Wen, Y., Hunt, J. H., Shi, J., (2018) “Surrogate Model based Control Considering Uncertainties for Composite Fuselage Assembly”, ASME Transactions, Journal of Manufacturing Science and Engineering, 140(4), 041017.

• INFORMS Best Poster Presentation Award in 2017.

• Selected Poster at the National Academy of Engineering (NAE) Regional Meeting in 2017.

5. Yue, X., Yan, H., Park, J. G., Liang, Z., Shi, J., (2018) “A Wavelet-based Penalized Mixed Effects Decomposition for Multichannel Profile Detection of In-line Raman Spectroscopy”, IEEE Transactions on Automation Science and Engineering, 15(3), pp.1258-1271.

• Editor’s Choice to an IEEE-TASE Invited Session at INFORMS 2018.

4. Yue, X., Shi, J., (2018) “Surrogate-Model based Optimal Feed-forward Control for Dimensional-Variation Reduction in Composite Parts’ Assembly Processes”, Journal of Quality Technology, 50(3), pp.279-289.

3. Wen, Y., Yue, X., Hunt, J. H., Shi, J., (2018) “Feasibility Analysis of Composite Fuselage Shape Control via Finite Element Analysis”, Journal of Manufacturing Systems, 46, pp.272-281.

2. Yue, X., Wang, K., Yan, H., Park, J. G., Liang, Z., Zhang, C., Wang, B., Shi, J., (2017) “Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper”, IEEE Transactions on Automation Science and Engineering, 14(1), pp.196-207.

• IEEE Transactions on Automation Science and Engineering Best Paper Award in 2018.

1. Zhang, J., Lv, C., Yue, X., Li, Y. and Yuan, Y., (2014) “Study on a Linear Relationship Between Limited Pressure Difference and Coil Current of On/Off Valve and Its Influential Factors”, ISA Transactions, 53(1), pp.150-161.

Professional Service

Editorial Board Service：

Associate Editor for the IISE Transactions (January 2021~ now)

Associate Editor for the Journal of Intelligent Manufacturing (November 2020~now)

Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems (July 2022~now)

Editorial Board Member for the PNAS Nexus (May 2023 ~ May 2026)

Editorial Board Member for the Manufacturing Letters (2022~now)

Editorial Board Member for the INFORMS-Springer Book Series (March 2022~now)

Professional Organization

Board Director of IISE Data Analytics & Information Systems (DAIS) Division (2022~2024)

Board Director of IISE Quality Control & Reliability Engineering (QCRE) Division (2022~2024)