岳小伟 - 清华大学 - 工业工程系

个人简介

岳小伟，清华大学工业工程系副教授。2011年毕业于北京理工大学获得车辆工程学士学位，2013年于清华大学获得动力工程及工程热物理硕士学位，2016年和2018年于美国佐治亚理工学院分别获得统计学硕士和工业工程博士学位（辅修机器学习）。研究方向包括质量管理、智能制造、系统信息化与控制、工程统计学与系统优化。研究得到多项学术荣誉认可，获美国工程院Grainger工程前沿基金奖、美国工业与系统工程协会Hamed K. Eldin早期职业工业工程学者奖、制造与设计杰出青年研究奖、美国杰出青年制造工程师奖。曾获得十余项最佳论文奖和两项最佳博士论文奖。任IISE Transactions，IEEE TNNLS和Journal of Intelligent Manufacturing 副编和PNAS Nexus, Manufacturing Letters 编委。当选工业与系统工程学会数据分析与信息系统分会理事和质量与可靠性分会理事, 是ASQ、IEEE和IISE的高级会员。所获奖励美国工业与系统工程学会（IISE）Dr. Hamed K. Eldin杰出早期职业工业工程学者奖，2023 IISE Transactions最佳论文奖, 2023 美国工程院Grainger 工程前沿基金奖，2022 美国工业与系统工程学会（IISE）制造与设计杰出青年研究奖，2022 美国制造工程师学会（SME）杰出青年制造工程师奖，2022 美国统计学会Statistics in Physical Engineering Sciences (SPES) 奖，2022 Robert J. Lyman 奖，2022 美国自然科学基金委 CMMI Panel Fellow 和Advanced Panel Fellow, 2021-2022 美国工程院工程前沿论坛入选人，2021 美国质量学会FTC早期职业基金奖，2019 美国工业与系统工程学会（IISE）Pritsker最佳博士论文奖，2019 美国统计学会（ASA）Mary G. and Joseph Natrella奖学金，2018 IEEE Transactions on Automation Science and Engineering最佳论文奖，2018 另有最佳论文奖、最佳论文奖提名奖、最佳墙报奖等多项。包括运筹学与管理科学学会（INFORMS）最佳论文类奖项8项、美国工业与系统工程学会（IISE）最佳论文类奖项6项、美国统计学会最佳论文类奖项2项、美国机械工程学会（ASME）最佳论文类奖项2项等。教育背景 2013—2018 佐治亚理工学院工业工程博士 2013—2016 佐治亚理工学院统计学硕士 2011—2013 清华大学动力工程及工程热物理硕士 2007—2011 北京理工大学车辆工程学士工作经历 2023—至今 : 清华大学工业工程系副教授 2018—2023 : 弗吉尼亚理工大学Grado工业与系统工程系助理教授

研究领域

质量科学：高精度质量管理，缺陷检测和诊断，统计过程控制智能制造：制造系统统计分析，系统信息化与控制，数字孪生，数字化制造数据科学：预测建模，不确定性量化，数据融合，工程驱动的机器学习

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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, DOI: https://doi.org/10.15554/pcij66.6-01. Robert J. Lyman Award in 2022, by the Precast/Prestressed Concrete Institute (PCI) 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. 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). 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. [Open-Sourced Software Package Available] Editor’s Choice to an IEEE-TASE Invited Session at INFORMS 2018. 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. 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. 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. 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.

学术兼职

国际期刊编委 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) 专业组织服务 Board Director of IISE Data Analytics & Information Systems (DAIS) Division (2022~2024) Board Director of IISE Quality Control & Reliability Engineering (QCRE) Division (2022~2024)