Publications
Publication entries are transcribed from the CV. DOI buttons are shown when a DOI could be parsed from the CV text.
Zhou, X., Zeng, Y., Jin, R., and Lourentzou, I., 2026, “Hierarchical Bayesian Dataset Selection for High-Quality Data Sharing,” the 40th AAAI Conference on Artificial Intelligence, AAAI 2026, Accepted on 11/7/2025 (Accepted as a Presentation Paper).
Wang, Y., Jin, R., and Kang, L., 2025, “Robust Analysis for Resilient AI System,” the IEEE International Conference on Data Mining, the First Resilient AI for Manufacturing workshop, Washington, DC, Nov. 12-15, 2025. 10.1109/ICDMW69685.2025.00196
Jin, X., Zeng, Y., Liu, H., and Jin, R.**, 2025, “Contrastive Ensemble Active Learning for Data Quality Improvements for Resilient Manufacturing AI Model Prediction,” the IEEE International Conference on Data Mining, the First Resilient AI for Manufacturing workshop, Washington, DC.
Liu, H., Qiao, G., Piliptchak, P., Moore, J., Sawyer, D., Zeng, Y., and Jin, R.**, 2025, “DCAF: Dynamic Cross-Attention Feature Fusion from Robotic Anomaly Detection to Position Accuracy Modeling,” IEEE CASE, Los Angeles, CA.
Zeng, Y., Lourentzou, I., Deng, X., and Jin, R.**, 2025, “FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet,” IEEE Cyber Security and Resilience Conference, Chania, Crete, Greece.
Kothyari, A., Ahmed, N., Jin, R., Shirwaiker, R., and Sarin, S., 2025, “Production Optimization considering Processing Time Uncertainty and Cell Viability in Tissue Engineered Medical Products Manufacturing”, IISE Annual Conference and Expo 2025, Atlanta, GA.
Liu, H., Zeng, Y., Chilukuri, P.K., Jin, R.**, 2025, “High-Quality Privacy Preserving Text Data Sharing for Manufacturing Machine Learning Data Market,” IISE Annual Conference and Expo 2025, Atlanta, GA.
Chilukuri, P. K., Song, B., Kang, S., and Jin, R.**, 2024, “Generating Optimized 3D Designs for Manufacturing Using a Guided Voxel Diffusion Model,” in Proc. ASME 2024 Int. Manuf. Sci. Eng. Conf., MSEC 2024, Knoxville, TN, USA.
Zeng, Y., Thiyagarajan, P., Chan, B., and Jin, R.**, 2023, “Synthetic Data Generation and Sampling for Online Training of DNNs in Manufacturing Supervised Learning Problems,” 2023 IEEE International Conference on Automation Science and Engineering.
Zeng, Y., Wang, T.J., Chen, S., Just, H.A., Jin, R., and Jia, R.**, 2023, “ModelPred: A Framework for Predicting Trained Model from Training Data,” 2023 IEEE 1st Conference on Secure and Trustworthy Machine Learning (SaTML), 2023, Doi: 10.1109/SaTML54575.2023.00037.
Shojaee, P., Zeng, Y., Wahed, M., Seth A., Jin, R., Lourentzou, I., 2022, “A Task-Driven Privacy-Preserving Data-Sharing Framework For Industrial Internet,” 2022 IEEE International Conference on Big Data, Dec. 17, 2022
Zeng, Y., Shojaee, P., Faruqui, S., Alaeddini, A., and Jin, R.**, 2022, “Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet,” in Proceedings of IEEE 5th International Conference on Industrial Cyberphysical Systems (ICPS) 2022.
Nallendran, R.V., Wang, L., and Jin, R.**, 2021, “Predictive Offloading in Fog Manufacturing for Computational Pipelines using Multi-task Learning,” in Proceedings of IEEE CASE 2021, https://doi-org/10.1109/CASE49439.2021.9551674
Shojaee, P., Zeng, Y., Chen, X., Jin, R.**, Deng, X., Zhang, C., 2021, “Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing,” IEEE 4th International Conference on Industrial Cyberphysical Systems (ICPS) 2021, https://doi-org/10.1109/ICPS49255.2021.9468245
Wang, L., Zhang, Y., Chen, C., and Jin, R.**, “Online Computation Performance Analysis for Distributed Machine Learning Pipelines in Fog Manufacturing,” in Proceedings of IEEE CASE 2020, https://doi-org/10.1109/CASE48305.2020.9216979
Wang, L., Zhang, Y., Chen, C., and Jin, R.**, “Monitoring System for Anomaly Detection in Fog Manufacturing,” in Proceedings of IEEE Industrial Cyber Physical Systems (ICPS) 2020, https://doi-org/10.1109/ICPS48405.2020.9274741
Zhang, Y., Wang, L., Chen, C., Lee, D., and Jin, R.**, “System Informatics and Hypothesis Tests of Significant Factors to Performance in a Fog Manufacturing System,” in Proceedings of IISE Annual Conference 2020.
Kang, S.**, Taylor, V., Okwei, M., Schultz, B., and Jin, R., “Rule Extraction to Identify Export Regulation Compliance of AM Parts,” in Proceedings of IISE Annual Conference 2020.
Krishnan, M., Jin, R., Sever, I. A., and Tarazaga, P. A. (2020), “Data based modeling of aero engine vibration responses,” In Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019 (pp. 365-368)
Zhang, Y., Wang, L., Chen, X., and Jin, R.**, “Fog Computing for Distributed Family Learning in Cyber-Manufacturing Modeling,” in Proceedings of IEEE Industrial Cyber Physical Systems (ICPS) 2019. https://doi-org/10.1109/ICPHYS.2019.8780264
Chen, X. and Jin, R. **, “Data Fusion Pipelines for Autonomous Smart Manufacturing,” in Proceedings of IEEE CASE 2018. https://doi-org/10.1109/COASE.2018.8560567
Wang, L.**, Jin, R., and Henkel, D., “Data Fusion for in situ Layer-wise Modeling and Feedforward Control of Selective Laser Melting Processes,” in Proceedings of IISE Annual Conference 2018.
Chen, X., Wang, L., Wang, C., and Jin, R.**, “Predictive Offloading in Mobile-Fog-Cloud enabled Cyber-Manufacturing Systems,” in Proceedings of IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2018, https://doi-org/10.1109/ICPHYS.2018.8387654
Li, Y., Mohan, K., Sun, H., and Jin, R.**, “Ensemble Modelling of in situ Feature Variables for Printed Electronics Manufacturing with in situ Process Control Potential,” IEEE CASE 2017,
Chen, X., Sun, H. and Jin, R.**, “Variation Analysis and Visualization of Manufacturing Processes via Augmented Reality,” in Proceedings of Industrial and Systems Engineering Research Conference 2016.
Sun, H.**, Jin, R. and Zimmerman, B., “Process Modeling and Mapping for a Plasma Spray Coating Process,” in Proceedings of Industrial and Systems Engineering Research Conference 2015. (Best Student Paper Award Finalist, Process Industries Track, Industrial and Systems Engineering Research Conference 2015)
Lan, Q., Jin, R.** and Robertson, J., “Quantitative and Qualitative Evaluation for Organ Preservation in Transplant,” in Proceedings of Industrial and Systems Engineering Research Conference 2015
Zhu, L., Dai, C., Sun, H., Li, W., Jin, R., and Wang, K.**, “Curve Monitoring for a Single-Crystal Ingot Growth Process,” in Proceedings of the 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2014), pp. 227-232. Atlantis Press, https://doi-org/10.2991/978-94-6239-100-0_43
Izquierdo, L.**, Du, H., Hu, J., Jin, R., Shi, J. and Jee, H., “Robust Fixture Layout Design for a Product Family Assembled in a Multistage Reconfigurable Line,” ASME International Conference on Manufacturing Sciences and Engineering, October 8-11, 2006, Ypsilanti, Michigan, MSEC2006-21082, pp. 693-702, https://doi.org/ 10.1115/1.3123320
Wang, Y., Jin, R., and Kang, L., “Robust Joint Modeling for Data with Continuous and Binary Responses,” Technometrics, Submitted on 3/13/2026.
Chen, X., Shojaee, P., and Jin, R.**, “World Map of AI: A Visualization of Datasets and AI Methods based on A Latent Neural Recommender System,” INFORMS Journal on Data Science, (IF: N/A), Submitted on 10/17/2022.
Chen, X. and Jin, R.**, “VLP: A Visual Language Processing Modeling Framework via an Attention-on-Attention Mechanism for Human-Guided Artificial Intelligence Incubation,” ACM Transactions on Interactive Intelligent Systems, (IF: 3.147 2020), Submitted on 11/27/2021.
Cheng, Y., Gui, Z., Guan, L., Jin, R., and Li, B.**, “Encrypted Fringe Projection Profilometry,” Optics Letters, Accepted on 1/20/2026.
Chen, Y., Chen, X., Jin, R., and Liu, M.**, “Ensemble Computational Pipelines for Robust Modeling and Prediction in Manufacturing,” INFORMS Journal on Data Science, (IF: N/A), Accepted on 11/15/2025.
Zhou, Y., Jin, R., and Qiu, P., “Machine Learning Control Charts for Monitoring Spatio-Temporal Data Streams,” Quality and Reliability Engineering International, Accepted on 5/9/2025.
Zeng, Y., Zhou, X., Chilukuri, P. K., Lourentzou, I., and Jin, R.**, “High-Quality Dataset-Sharing and Trade Based on A Performance-Oriented Directed Graph Neural Network,” IEEE Transactions on Automation Science and Engineering, 22, 15576-15587, April, 30, 2025, DOI: 10.1109/TASE.2025.3561081
Chen, X., and Jin, R.**, “Lori: Local Low-rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence,” IEEE Transactions on Industrial Informatics, 20, 12, 13707-13718, 2024, (IF: 10.215 2020), DOI: 10.1109/TII.2024.3431079.
Shen, S., Jin, R., and Deng, X.**, 2025, “Efficient Estimation and Selection for Regularized Dynamic Logistic Regression,” IISE Transactions, 57(6), pp. 639-654. https://doi.org/10.1080/24725854.2024.2359991
Wang, L., Wang, X., Ji, Q., Wang, L., and Jin, R.**, “Mutual Active Learning for Engineering Regulated Statistical Digital Twin Models,” IEEE Transactions on Industrial Informatics, (IF: 10.215 2020), 20, 4, 6167-6176, April 2024. DOI: 10.1109/TII.2023.3344134
Lan, Q., Chen, X., Li, M., Robertson, J., Lei, Y., and Jin, R. **, 2023, “Improving Assessment in Kidney Transplantation by Multitask General Path Model,” Computer Methods and Programs in Biomedicine Update, 4, 100127. https://doi.org/10.1016/j.cmpbup.2023.100127
Zeng, Y., Chen, X., and Jin, R.**, “Ensemble Active Learning by Contextual Bandits for Artificial Intelligence Incubation in Manufacturing,” ACM Transactions on Intelligent Systems and Technology, (IF: 4.654 2020), 15, 1, 1-26, February 29, 2024. https://doi.org/10.1145/3627821
Li, Y.**, Wang, L., Chen, X., and Jin, R., “Distributed Data Filtering and Modeling for Fog and Networked Manufacturing,” IISE Transactions, (IF: 2.90 2020), published online: April 5, 2023.
Kang, L., Deng, X., and Jin, R., “Bayesian D-Optimal Design of Experiments with Quantitative and Qualitative Responses,” the New England Journal of Statistics in Data Science, 1, 3, 1-15, April 21, 2023, https://doi.org/10.51387/23-NEJSDS30.
Chen, X., Kang, X., Jin, R., and Deng, X.**, “Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing,” Technometrics, (IF: 2.988 2020), 65, 206-219, Oct 31, 2022, https://doi.org/10.1080/00401706.2022.2134928
Zeng, Y. +, Shohan, S. +, Chen, X., Jin, R.**, and Shirwaiker R.A.**, “Investigating Dielectric Spectroscopy and Soft Sensing for Nondestructive Quality Assessment of Engineered Tissues,” Biosensors and Bioelectronics, (IF: 10.618 2021), 215, Nov. 15, 2022.
Li, Y., Yan, H., and Jin, R.**, “Multi-task Learning with Latent Variation Decomposition for Multivariate Responses in a Manufacturing Network,” IEEE Transactions on Automation Science and Engineering, (IF: 4.938 2020), 20 (1), February 14, 2022. DOI: 10.1109/TASE.2022.3148977
Chen, X.**, Zeng, Y., Kang, S., and Jin, R., “INN: An Interpretable Neural Network for AI Incubation in Manufacturing,” ACM Transactions on Intelligent Systems and Technology, (IF: 4.654 2020), 20(1), 285-295, Feb. 14, 2022, 10.1109/TASE.2022.3148977
Jin, R., “Commentary on ‘Visualization in Operations Management Research’ (3 pages),” INFORMS Journal on Data Science, Published Online: Dec. 28, 2021.
Li, Y., Wang, L., Lee, D., and Jin, R.**, “Monitoring Runtime Metrics of Fog Manufacturing via a Qualitative and Quantitative (QQ) Control Chart,” ACM Transactions on Internet of Things, (IF: 3.135 2021), 1-19, Nov. 15, 2021, https://doi.org/10.1145/3501262.
Kang, S., Jin, R., Deng, X., and Kenett, Ron S.**, “Challenges of Modeling and Analysis in Cybermanufacturing: A Review from a Machine Learning and Computation Perspective,” Journal of Intelligent Manufacturing, Aug 2021, (IF: 6.485 2021), https://doi.org/10.1007/s10845-021-01817-9
Lan, Q., Li, Y., Robertson, J., and Jin, R.**, “Modeling of Pre-transplantation Liver Viability with Spatial-temporal Smooth Variable Selection,” Computer Methods and Programs in Biomedicine, 208, 106264, 0169-2607, Sep 2021, (IF: 5.428 2021), https://doi.org/10.1016/j.cmpb.2021.106264
Shojaee, P., Chen, X., and Jin, R.**, “Adaptively Weighted Top-N Recommendation for Organ Matching,” ACM Transactions on Computing for Healthcare, 3(1), 1–29, Oct. 15, 2021, https://doi.org/10.1145/3469657
Kang, S., Deng, X., and Jin, R.**, “Cost-Efficient Data-Driven Approach to Design Space Exploration for Personalized Geometric Design in Additive Manufacturing,” Journal of Computing and Information Science in Engineering, 21(6): 061008, Dec 2021, (IF: 1.855 2020), https://doi.org/10.1115/1.4050984
Wang, L., Chen, X., Daniel, H., and Jin, R.**, “Pyramid Ensemble Convolutional Neural Network for Virtual Computed Tomography Image Prediction in a Selective Laser Melting Process,” ASME Journal of Manufacturing Science and Engineering, 143(12): 121003, Dec 2021, (IF: 3.033 2020), https://doi.org/10.1115/1.4051077
Zeng, Y., Chen, X., Deng, X., and Jin, R.**, “A Prediction-Oriented Optimal Design for Visualization Recommender Systems,” Statistical Theory and Related Fields, 5(2), 134-148, Online: March 30, 2021, https://doi.org/10.1080/24754269.2021.1905376
Li, Y.**, Deng, X., Ba, S., Myers, W., Brenneman, W., Lange, S., Zink, R., and Jin, R., “Cluster-based Data Filtering for Manufacturing Big Data Systems,” Journal of Quality Technology, Online: March 5, 2021, (IF: 3.946 2020), https://doi.org/10.1080/00224065.2021.1889420
Wang, L., Du, P., and Jin, R.**, “Multi-modal Best Subset Modeling in Smart Manufacturing,” Sensors, 21(1): 243, On-Line: January 1, 2021, (IF: 3.576 2020), https://doi.org/10.3390/s21010243.
Wang, L., Chen, X., Henkel, D., and Jin, R.**, “Family Learning: A Process Modeling Method for Cyber-Additive Manufacturing Network,” IISE Transactions, 54(1), 1-16, Online: February 9, 2021, (IF: 2.90 2020), https://doi.org/10.1080/24725854.2020.1851824
Chen, X. and Jin. R. **, “AdaPipe: A Recommender System for Adaptive Computation Pipelines in Cyber-Manufacturing Computation Services,” IEEE Transactions on Industrial Informatics, SS on Industrial Cyber-Physical Systems New Trends in Computing and Communications, 17(9), 6221-6229, Sept. 2021, (IF: 10.215 2020), https://doi.org/10.1109/TII.2020.3035524
Chen, X.**, Nathan, L., and Jin. R., “PRIME: A Personalized Recommender System for Information Visualization Methods via Extended Matrix Completion,” ACM Transactions on Interactive Intelligent Systems, 11, Article 7, 30 pages, April 2021, (IF: 3.37 2020), https://doi.org/10.1145/3366484
Kang, X., Chen, X., Jin, R., Wu, H., and Deng, X.**, “Multivariate Regression of Mixed Responses for Evaluation of Visualization Designs,” IISE Transactions, Vol. 53(3): 313-325, On-Line: May 26, 2020, (IF: 2.90 2020), https://doi.org/10.1080/24725854.2020.1755068
Wang, L., Chen, X., Kang, S., Deng, X., and Jin, R.**, “Meta-modeling of High-fidelity FEA Simulation for Efficient Product and Process Design in Additive Manufacturing,” Additive Manufacturing, Vol. 35: 101211, On-Line: May 26, 2020, (IF: 10.998 2021), 10.1016/j.addma.2020.101211
Huang, W., Chen, X., Jin, R., and Lau, N.**, “Detecting Cognitive Hacking in Visual Inspection with Physiological Measurements”, Applied Ergonomics, Vol. 84: 103022, On-Line: January 10, 2020, (IF: 3.661 2020), https://doi.org/10.1016/j.apergo.2019.103022.
Gao, Z., Du, P.**, Jin, R., Robertson, J.L., “Surface Temperature Monitoring in Liver Procurement via Functional Variance Change Point Analysis,” Annals of Applied Statistics, Vol. 14 (1): 143-159, 2020, (IF: 2.083 2020), https://doi.org/10.1214/19-AOAS1297
Li, Y., Sun, H., Deng, X., Zhang, C., Wang, B. and Jin, R.**, “Manufacturing Quality Prediction Using Smooth Spatial Variable Selection Estimator with Applications in Aerosol Jet® Printed Electronics Manufacturing,” IISE Transactions, Vol. 52(3): 321-333, On-Line: June 5, 2019, (IF: 2.90 2020), https://doi.org/10.1080/24725854.2019.1593556 (IISE Transactions Focus Issue on Quality and Reliability Engineering, Honorable Mention for the Best Application Paper, 2020)
Sun, H.**, Jin, R., and Luo, Y., “Super-SANMF: Supervised Subgraph Augmented Non-Negative Matrix Factorization for Manufacturing Time Series Data Analytics,” IISE Transactions, Vol. 52 (1): 120-131, On-Line: May 6, 2019, (IF: 2.90 2020), https://doi.org/10.1080/24725854.2019.1581389
Li, Y., Jin, R., and Luo, Y.**, “Classifying Relations in Clinical Narratives using Segment Graph Convolutional and Recurrent Neural Networks (Seg-GCRNs),” Journal of the American Medical Informatics Association, Vol. 26 (3): 262-268, On-Line: December 27, 2018, (IF: 4.112 2019), https://doi.org/10.1093/jamia/ocy157
Jin, R.**, Deng, X., Chen., X., Zhu, L., and Zhang, J., “Dynamic Quality-Process Model in Consideration of Equipment Degradation,” Journal of Quality Technology, Vol. 51(3): 217-229, On-Line: January 15, 2019, (IF: 3.946 2020), https://doi.org/10.1080/00224065.2018.1541379
Kang L., Kang X., Deng X., and Jin, R.**, “A Bayesian Hierarchical Model for Quantitative and Qualitative Responses,” Journal of Quality Technology, Vol. 50 (3): 290-308, On-Line: September 18, 2018, (IF: 3.946 2020), https://doi.org/10.1080/00224065.2018.1489042
Lan, Q., Sun, H., Robertson, J., Deng, X., and Jin, R. **, “Non-invasive Assessment of Liver Quality in Transplantation based on Thermal Imaging Analysis,” Computer Methods and Programs in Biomedicine, Vol. 164: 31-47, On-Line: June 30, 2018, (IF: 5.428 2021), https://doi.org/10.1016/j.cmpb.2018.06.003
Liu, J., Jin, R., and Kong, Z.**, “Wafer Quality Monitoring using Spatial Dirichlet Process based Mixed-Effect Profile Modeling Scheme,” Journal of Manufacturing Systems, Vol.48 A: 21-32, On-Line: June 14, 2018, (IF: 8.633 2021), https://doi.org/10.1016/j.jmsy.2018.05.012
Li, J., Jin, R., and Yu, H.**, “Integration of Physically-based and Data-driven Approaches for Thermal Field Prediction in Additive Manufacturing,” Materials and Design, Vol. 139:473-485, 2018, (IF: 7.991 2020), https://doi.org/10.1016/j.matdes.2017.11.028
Sun, H., Rao, P., Kong, Z., Deng, X., and Jin, R.**, “Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process,” IEEE Transactions on Automation Science and Engineering, Vol 15(1): 393-403, On-Line: November 10, 2017, (IF: 4.938 2020), https://doi.org/10.1109/TASE.2017.2763609
Li, Y.**, Mohan, K., Sun, H., and Jin, R., “Ensemble Modelling of in situ Feature Variables for Printed Electronics Manufacturing with in situ Process Control Potential,” IEEE Robotics and Automation Letters, 2(4): 1864–1870, On-Line: June 07, 2017, (IF: 3.741 2021), https://doi.org/10.1109/LRA.2017.2713242
Sun, H.**, Huang, S. and Jin, R., “Functional Graphical Models for Manufacturing Process Modeling,” IEEE Transactions on Automation Science and Engineering, Vol. 14(4): 1612-1621, On-Line: May 02, 2017, (IF: 4.938 2020), https://doi.org/10.1109/TASE.2017.2693398
Sun, H., Luo, S., Jin, R.**, and He, Z.**, “Ensemble Engineering and Statistical Modeling for Parameter Calibration towards Optimal Design of Microbial Fuel Cells,” Journal of Power Sources, 356: 288-298, On-Line: February 24, 2017, (IF: 8.247 2019), https://doi.org/10.1016/j.jpowsour.2017.02.051
Sun, H., Wang, K., Li, Y., Zhang, C. and Jin, R.**, “Quality Modeling of Printed Electronics in Aerosol Jet Printing based on Microscopic Images,” ASME Transactions, Journal of Manufacturing Sciences and Engineering, 139(7): 071012, On-Line: April 10, 2017, (IF: 3.033 2020), https://doi.org/10.1115/1.4035586
Chen, X. and Jin, R.**, “Statistical Modeling for Visualization Evaluation through Data Fusion,” Applied Ergonomics, 65: 551-561, On-Line, January 19, 2017, (IF: 3.661 2020), https://doi.org/10.1016/j.apergo.2016.12.016
Tian, W.**, Jin, R., Huang, T., and Camelio, J., “Statistical Process Control for Multistage Processes with Non-repeating Cyclic Profiles,” IISE Transactions, 49(3): 320-331, On-Line: October 4, 2016, (IF: 2.90 2020), https://doi.org/10.1080/0740817X.2016.1241454 (Best Student Paper Award Finalist, Process Industries Track, Industrial and Systems Engineering Research Conference 2015)
Zang, Y., Wang, K.** and Jin, R., “Unaligned Profile Monitoring using Penalized Methods,” Quality and Reliability Engineering International, 32(8), 2761-2776, On-Line, August 15, 2016, (IF: 2.885 2020), https://doi.org/10.1002/qre.2066
Sun, H., Deng, X., Wang, K., and Jin, R.**, “Logistic Regression for Crystal Growth Process Modeling through Hierarchical Nonnegative Garrote based Variable Selection,” IIE Transactions, 48(8): 787-796, On-Line: Mar 24, 2016, (IF:1.579 2020), https://doi.org/10.1080/0740817X.2016.1167286 (Best Student Paper Award Finalist, Quality Control and Reliability Engineering Track, Industrial and Systems Engineering Research Conference 2014)
Luo, S., Sun, H., Ping, Q., Jin, R.** and He, Z.**, “A Review of Modeling Bioelectrochemical System: Engineering and Statistical Aspects,” Energies, 9(2): 111, On-Line: February 18, 2016, (IF: 3.004 2021), https://doi.org/10.3390/en9020111
Sun, H., Luo, S., Jin, R.** and He, Z.**, “A Multi-task Lasso Model for Investigating Multi-module Design Factors, Operational Factors and Covariates in Tubular Microbial Fuel Cells,” ACS Sustainable Chemistry and Engineering, 3(12): 3231-3238, On-Line: October 28, 2015, (IF: 8.198 2020), https://doi.org/10.1021/acssuschemeng.5b00820
Xu, Z., Hong, Y.** and Jin, R., “Nonlinear General Path Models for Degradation Data with Dynamic Covariates,” Applied Stochastic Models in Business and Industry, 32(2): 153-167, On-Line, August 12, 2015, (IF:1.338 2019), https://doi.org/10.1002/asmb.2129
Deng, X. and Jin, R.**, “QQ models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems,” Technometrics, 57(3), 320-331, On-Line, April 18, 2015, (IF: 2.988 2020), https://doi.org/10.1080/00401706.2015.1029079
Jin, R.** and Deng, X., “Ensemble Modeling for Data Fusion in Manufacturing Process Scale-up,” IIE Transactions, 47(3), 203-214, On-Line: October 30, 2014, (IF:1.579 2020), https://doi.org/10.1080/0740817X.2014.916580
Dai, C., Wang, K.** and Jin. R., “Monitoring Profile Trajectories with Dynamic Time Warping Alignment,” Quality and Reliability Engineering International, 30(6): 815-827, On-Line: June 10, 2014, (IF: 2.885 2020), https://doi.org/10.1002/qre.1667
Zhang, J.**, Li, W., Wang, K., and Jin, R., “Process Adjustment with an Asymmetric Quality Loss Function,” Journal of Manufacturing Systems, 33(1): 159-165, On-Line: November 14, 2013, (IF: 8.633 2021), https://doi.org/10.1016/j.jmsy.2013.10.001
Bao, L., Wang, K.** and Jin, R., “A Hierarchical Model for Characterizing Spatial Wafer Variations,” International Journal of Production Research, 52(6): 1827-1842, On-Line: October 25, 2013, (IF: 8.568 2021), https://doi.org/10.1080/00207543.2013.849389
Plumlee, M.**, Jin, R., Joseph, R.V. and Shi, J., “Gaussian Process Modeling for Engineered Surfaces with Applications to Si Wafer Production,” Stat, 2: 159-170, On-Line: August 12, 2013, (IF: 1.20 2021), https://doi.org/10.1002/sta4.26
Jin, R.** and Liu, K., “Multimode Variation Modeling and Process Monitoring for Serial-Parallel Multistage Manufacturing Processes,” IIE Transactions, 45: 617-629, On-Line: October 23, 2012, (IF:1.579 2020), https://doi.org/10.1080/0740817X.2012.728729
Jin, R., Chang, C.J. and Shi, J.**, “Sequential Measurement Strategy for Wafer Geometric Profile Estimation,” IIE Transactions, 44(1): 1-12, On-Line: May 24, 2011, (IF:1.579 2020), https://doi.org/10.1080/0740817X.2011.557030 (Best Applied Paper Award in IIE Transactions Quality and Reliability Engineering 2012)
Jin, R. and Shi, J.**, “Reconfigured Piecewise Linear Regression Tree for Multistage Manufacturing Process Control,” IIE Transactions, 44(4): 249-261, On-Line: May 24, 2011, (IF:1.579 2020), https://doi.org/10.1080/0740817X.2011.564603
Zhao, H., Jin, R., Wu, S. and Shi, J.**, “PDE-Constrained Gaussian Process Model on Material Removal Rate of Wire Saw Slicing Process,” ASME Transactions, Journal of Manufacturing Sciences and Engineering, 133(2): 021012. On-Line March 23, 2011, (IF: 3.033 2020), https://doi.org/10.1115/1.4003617
Izquierdo, L., Hu, J., Du, H., Jin, R., Jee, H. and Shi, J.**, “Robust Fixture Layout Design for a Product Family Assembled in a Multistage Reconfigurable Line,” ASME Transactions, Journal of Manufacturing Sciences and Engineering, 131(4), 041008, On-Line: July 13, 2009, (IF: 3.033 2020), https://doi.org/10.1115/1.3123320
Jin, R., Li, J. and Shi, J.**, “Quality Prediction and Control in Rolling Processes using Logistic Regression,” NAMRI/SME Transactions, 35: 113-120, On-Line: 2007