State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors. - Shiyu Zhou; Qiang Huang 001; Jianjun Shi 001 (IEEE Trans. Robotics Autom., 2003)

Error Equivalence Methodology for Dimensional Variation Control in Manufacturing. - Qiang Huang 001; Hui Wang (RAM, 2008)

Statistical Weight Kinetics Modeling and Estimation for Silica Nanowire Growth Catalyzed by Pd Thin Film. - Qiang Huang 001; Li Wang; Tirthankar Dasgupta; Li Zhu; P. K. Sekhar; Shekhar Bhansali; Yu An (IEEE Trans Autom. Sci. Eng., 2011)

Modeling the Interactions Among Neighboring Nanostructures for Local Feature Characterization and Defect Detection. - Lijuan Xu; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2012)

Cross-Domain Model Building and Validation (CDMV): A New Modeling Strategy to Reinforce Understanding of Nanomanufacturing Processes. - Li Wang; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2013)

EM Estimation of Nanostructure Interactions With Incomplete Feature Measurement and Its Tailored Space Filling Designs. - Lijuan Xu; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2013)

Predictive modeling of geometric deviations of 3D printed products - A unified modeling approach for cylindrical and polygon shapes. - Qiang Huang 001; Hadis Nouri; Kai Xu; Yong Chen 017; Sobambo Sosina; Tirthankar Dasgupta (CASE, 2014)

Shape deviation modeling for fused deposition modeling processes. - Suoyuan Song; Andi Wang 001; Qiang Huang 001; Fugee Tsung (CASE, 2014)

Corrections to "Cross-Domain Model Building and Validation (CDMV): A New Modeling Strategy to Reinforce Understanding of Nanomanufacturing Processes". - Li Wang; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2014)

A D-Optimal Design for Estimation of Parameters of an Exponential-Linear Growth Curve of Nanostructures. - Li Zhu; Tirthankar Dasgupta; Qiang Huang 001 (Technometrics, 2014)

Out-of-plane geometric error prediction for additive manufacturing. - Yuan Jin; Si-Zhao Joe Qin; Qiang Huang 001 (CASE, 2015)

Predictive modeling of in-plane geometric deviation for 3D printed freeform products. - He Luan; Qiang Huang 001 (CASE, 2015)

Bayesian additive modeling for quality control of 3D printed products. - Arman Sabbaghi; Qiang Huang 001; Tirthankar Dasgupta (CASE, 2015)

Prescriptive analytics for understanding of out-of-plane deformation in additive manufacturing. - Yuan Jin; Si-Zhao Joe Qin; Qiang Huang 001 (CASE, 2016)

Predictive model building across different process conditions and shapes in 3D printing. - Arman Sabbaghi; Qiang Huang 001 (CASE, 2016)

Robust Parameter Design for Profile Quality Control. - Lulu Bao; Qiang Huang 001; Kaibo Wang (Qual. Reliab. Eng. Int., 2016)

Statistical process control of in-plane shape deformation for additive manufacturing. - He Luan; Brian K. Post; Qiang Huang 001 (CASE, 2017)

Modeling Interaction in Nanowire Growth Process Toward Improved Yield. - Faranak Fathi Aghdam; Haitao Liao; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2017)

Prescriptive Modeling and Compensation of In-Plane Shape Deformation for 3-D Printed Freeform Products. - He Luan; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2017)

In-Plane Shape-Deviation Modeling and Compensation for Fused Deposition Modeling Processes. - Andi Wang 001; Suoyuan Song; Qiang Huang 001; Fugee Tsung (IEEE Trans Autom. Sci. Eng., 2017)

Bayesian Model Building From Small Samples of Disparate Data for Capturing In-Plane Deviation in Additive Manufacturing. - Arman Sabbaghi; Qiang Huang 001; Tirthankar Dasgupta (Technometrics, 2018)

Contributions to additive manufacturing. - Qiang Huang 001; Zhengyu James Kong; Xiaoping Qian; Bianca Maria Colosimo (IISE Trans., 2019)

Modeling inter-layer interactions for out-of-plane shape deviation reduction in additive manufacturing. - Yuan Jin; Si-Zhao Joe Qin; Qiang Huang 001 (IISE Trans., 2020)

Automated Geometric Shape Deviation Modeling for Additive Manufacturing Systems via Bayesian Neural Networks. - Raquel de Souza Borges Ferreira; Arman Sabbaghi; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2020)

Shape Deviation Generator - A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy. - Qiang Huang 001; Yuanxiang Wang; Mingdong Lyu; Weizhi Lin (IEEE Trans Autom. Sci. Eng., 2020)

Extended Fabrication-Aware Convolution Learning Framework for Predicting 3D Shape Deformation in Additive Manufacturing. - Yuanxiang Wang; Cesar Ruiz; Qiang Huang 001 (CASE, 2021)

Small-Sample Learning of 3D Printed Thin-Wall Structures Using Printing Primitives. - Yuanxiang Wang; Qiang Huang 001 (CASE, 2022)

Process-Informed Segmentation of Dense Point Clouds for Layer Quality Assessment in Large-Scale Metal Additive Manufacturing. - Cesar Ruiz; Prahar M. Bhatt; Satyandra K. Gupta; Qiang Huang 001 (CASE, 2023)

Learning and Predicting Shape Deviations of Smooth and Non-Smooth 3D Geometries Through Mathematical Decomposition of Additive Manufacturing. - Yuanxiang Wang; Cesar Ruiz; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2023)

Surface Quality Characterization and Modeling for Printed 2D Products Using Printing Primitives. - Minghao Gu; Cesar Ruiz; Qiang Huang 001 (CASE, 2024)

Automated Internal Defect Identification and Localization Based on a Near-Field SAR Millimeter-Wave Imaging System. - Quoc Cuong Bui; Weizhi Lin; Qiang Huang 001; Gyung-Su Byun (IEEE Access, 2025)

Automated Surface Patch Extraction for 3D Printing Qualification. - Weizhi Lin; Qiang Huang 001 (IEEE Trans Autom. Sci. Eng., 2025)