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 Journal papers

  1. Liu, X., Fatyga, M., Wu, T., & Li, J., Integration of Biological and Statistical Models toward Personalized Radiation Therapy of Cancer.” IISE Transactions, in press.
  2. Wang, K., & Li, J., “Integration of Sparse Singular Vector Decomposition and Statistical Process Control for Traffic Monitoring and Quality of Service Improvement in Mission-Critical Communication Networks. IISE Transactions, in press.
  3. Si, B., Dumkrieger, G., Wu, T., Zafonte, R., Dodick, D. W., Schwedt, T. J., & Li, J. A Cross-study Analysis for Reproducible Sub-classification of Traumatic Brain Injury. Frontiers in Neurology, in press.
  4. Si, B., Dumkrieger, G., Wu, T., Zafonte, R., Valadka, A.B., Okonkwo, D.O., Manley, G.T., Wang, L., Dodick, D.W., Schwedt, T.J. and Li, J., 2018, Sub-classifying Patients with Mild Traumatic Brain Injury: A Clustering Approach based on Baseline Clinical Characteristics and 90-day and 180-day Outcomes. PloS one, 13(7), p.e0198741.
  5. Liu, X., Gough, A., Li, J. , 2018, “Semiconductor Corner Lot Generation Robust to Process Variation: Modeling and Analysis”. IISE Transactions, 50(2):126-39.
  6. Gaw, N., Schwedt, T., Chong, C., Wu, T., Li., J., 2018, “A clinical Decision Support System using Multi-modality Imaging Data for Disease Diagnosis”, IISE Transactions on Healthcare Systems Engineering, 8(1):36-46 (This paper was selected as a Feature Article by IISE Magazine.)
  7. Liu, X., Chen, K., Wu, T., Weidman, D., Lure, F., Li, J., 2018, “Use of Multi-modality Imaging and Artificial Intelligence for Diagnosis and Prognosis of Early Stages of Alzheimer's Disease. Translational Research (impact factor: 5.03), 194: 56-67.
  8. Si, B., Lamb, G., Schmitt, M., & Li, J., 2017, A Multi-response Multilevel Model with Application in Nurse Care Coordination.IISE Transactions, 49(7): 669-681. (This paper was selected as a Feature Article by IIE Magazine.)
  9. Patel, B.K., Ranjbar, S., Wu, T., Pockaj, B.A., Li, J., Zhang, N., Lobbes, M., Zhang, B. and Mitchell, J.R., 2018, “Computer-Aided Diagnosis of Contrast-Enhanced Spectral Mammography: A Feasibility Study.” European Journal of Radiology, 98: 207-213.
  10. Gao, F., Wu, T., Li, J., Zheng, B., Ruan, L., Shang, D., & Patel, B., “SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis. Computerized Medical Imaging and Graphics, in press.
  11. Si, B., Yakushev, I., & Li, J., “A Sequential Tree-based Classifier for Personalized Biomarker Testing of Alzheimer’s Disease Risk.IISE Transactions on Healthcare Systems Engineering, 7(4): 248-260. (The student author won the 3rd place for IISE Healthcare Research Student Best Paper Competition.)
  12. Ramkumar, S., Ranjbar, S., Ning, S., Lal, D.,…,Li, J., Hoxworth, J., 2017, “MRI-Based Texture Analysis to Differentiate Sinonasal Squamous Cell Carcinoma from Inverted Papilloma”, American Journal of Neuroradiology (impact factor: 3.888), 38(5):1019-1025.
  13. Ning, S., Byon, E., Wu, T., & Li, J., 2017, “A Sparse Partitioned-Regression Model for Nonlinear System-Environment Interactions.IISE Transactions, 49(8): 814-826.
  14. Hu, L.S., Ning, S., Eschbacher, J.M., Baxter, L.C., Gaw, N., , & Li, J., 2017, “Radiogenomics to Characterize Regional Genetic Heterogeneity in Glioblastoma. Neuro-Oncology (impact factor: 7.371), 19(1): 128-137.
  15. Wang, K., Zwart, C., Wellness, C., Wu, T., Li., J., 2017, “Integration of Multiple Health Information Systems for Quality Improvement of Radiologic Care”, IISE Transactions on Healthcare Systems Engineering, 7(3): 169-180. (The student author won the IIE Society for Health Systems Student Paper Competition. This paper was also selected as a Feature Article by IIE Magazine.)
  16. Schwedt, T., Si, B., Li, J., Wu, T., Chong, C., 2017, “Migraine Subclassification via a Data-Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements”, Headache: The Journal of Head and Face Pain, 57(7): 1051-1064.
  17. Zou, N., Li, J., 2017, “Modeling and Change Detection of Dynamic Network Data by a Network State Space Model,IISE Transactions, 49(1): 45-57. (This paper was selected as a Feature Article by IIE Magazine.)
  18. Chong, C., Gaw, N., Fu, Y., Li, J., Wu, T., Schwedt, T., 2017, “Migraine Classification Using Magnetic Resonance Imaging Resting-State Functional Connectivity Data”, Cephalalgia (impact factor: 6.052). 37(9): 828-844. (This paper received the Harold Wolff-John Graham Award from the American Academy of Neurology.)
  19. Liu, X., Li, J., Wu, T., Schild, S. E., Schild, M. H., Wong, W., ... & Fatyga, M, 2017, “Statins and Metformin Use Is Associated with Lower PSA Levels in Prostate Cancer Patients Presenting for Radiation Therapy.” Journal of Cancer Therapy, 8(2): 73-85.
  20. Liu, X., Li, J., Wu, T., Schild, S. E., Schild, M. H., Wong, W., ... & Fatyga, M., 2016, “Patient Specific Characteristics Are an Important Factor That Determines the Risk of Acute Grade≥ 2 Rectal Toxicity in Patients Treated for Prostate Cancer with IMRT and Daily Image Guidance Based on Implanted Gold Markers.” OMICS Journal of Radiology, 5(3): 225.
  21. Zou, N., Baydogan, M., Zhu, Y., Wang, W., Zhu, J., Li, J., 2015, “A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems,” Technometrics, 55(3):362-373.
  22. Hu, L. S., Ning, S., Eschbacher, J. M., Gaw, N., Dueck, A. C., Smith, K. A., ... & Li, J., 2015, Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma,” PloS one, 10(11): e0141506.
  23. Titov, N., Diehl-Schmid, J., Shi, K., Perneczky, R., Zou, N., Förster, S., Grimmer, T., Li, J., Drzezga, A., Yakushev, I. “Metabolic Connectivity for Differential Diagnosis of Dementing Disorders.” 2015. Journal of Cerebral Blood Flow & Metabolism (impact factor: 4.929). 0271678X15622465.
  24. Schwedt, T., Chong, C., Gaw, N., Fu, Y., Wu, T., Li, J., 2015, “Accurate Classification of Chronic Migraine via Brain Magnetic Resonance Imaging”, Headache: The Journal of Head and Face Pain, 55(6):762-77. (This paper received the Harold G. Wolff Lecture Award from the American Headache Society.)

25.  Huang, S., Li, J., Lamb, G., Schmitt, M., and Fowler, J., 2014, “Multi-data Fusion for Enterprise Quality Improvement by a Multilevel Latent Response Model,” IIE Transactions, 46(5), 512-525.

  1. Zou, N., Chetelat, G., Baydogan, M., Li, J., Fischer, F., Titov, D., Dukart, J., Fellgiebel, A., Schreckenberger, M., Yakushev, I., 2014, “Metabolic Connectivity as Index of Verbal Working Memory, Journal of Cerebral Blood Flow & Metabolism (impact factor: 4.929)., 35:1122-1126.

27.  Li, M., Liu, J., Li, J., Kim, B., 2014, “Bayesian Modeling of Multi-state Hierarchical Systems with Multi-level Information Aggregation,Reliability Engineering & System Safety, 124, 158-164.

28.  Huang, S., Li, J., Ye, J., Fleisher, A., Chen, K., Wu, T., and Reiman, E., 2013, “A Sparse Structure Learning Algorithm for Bayesian Network Identification from High-Dimensional Data,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(6), 1328-1342. (The student author of this paper received Best Student Paper Award (2nd place) in Quality Statistics and Reliability Subdivision of INFORMS Annual Conference 2011.)

29.  Inman, R.R., Blumenfeld, D.E., Huang, N., Li, J., and Li, J., 2013, “Survey of Recent Advances on the Interface between Production System Design and Quality,” IIE Transactions, 45(6), 557-574.

30.  Huang, S., Li, J., Chen, K., Wu, T., Ye, J., Wu, X., and Li, Y., 2012, “A Transfer Learning Approach for Network Modeling,” IIE Transactions, 44(11), 1-17. (This paper received IIE Transactions Best Paper Award).

31.  Lyon, J., Pan, R., and Li, J., 2011, “National Evaluation of the Effect of Graduated Driver Licensing Laws on Teenager Fatality and Injury Crashes,” Journal of Safety Research, 43(1), 29-37.

32.  Li, J., and Jin, J., 2010, “Optimal Sensor Allocation by Integrating Causal Models and Set-Covering Algorithms,” IIE Transactions, 42(8), 564-576. (This paper received Best Paper Award in Industrial Engineering Research Conference 2008.)

33.  Li, J., and Huang, S., 2010, “Regression-based Process Monitoring with Consideration of Measurement Errors,” IIE Transactions, 42(2), 146-160. (This paper was selected as a Feature Article by IIE Magazine.)

34.  Huang, S., Li, J., Sun, Li., Ye, J., Fleisher, A., Wu, T., Chen, K., and Reiman, E., 2010, “Learning Brain Connectivity of Alzheimer’s Disease by Sparse Inverse Covariance Estimation,” NeuroImage (impact factor: 6.357), 50, 935-949.

35.  Huang, S., Pan, R., and Li, J., 2010, “A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures,” IEEE Transactions on Reliability, 59(4), 650-660.

36.  Li, J., Xie, H., and Jin, J., 2010, “Optimal Process Adjustment by Integrating Production Data and Design of Experiments,” Quality and Reliability Engineering International, 27(3), 327-336.

37.  Jin, J. and Li, J., 2009, “Multiscale Mapping of Aggregated Signal Features to Embedded Time-Frequency Localized Operations Using Wavelets,” IIE Transactions, 41(7), 615-625 (This paper was selected as a Feature Article by IIE Magazine.)

38.  Li, J., Jin, J., and Shi, J., 2008, “Causation-based T2 Decomposition for Multivariate Process Monitoring and Diagnosis,” Journal of Quality Technology, 40(1), 46-58 (This paper received Best Paper Award in Industrial Engineering Research Conference 2006.)

39.  Li, J., Huang, K.Y., Jin, J., and Shi, J., 2008, “A Survey on Statistical Methods for Health Care Fraud Detection,” Health Care Management Science, 11, 275-287.

40.  Li, J., Shi, J., and Satz, D., 2008, “Modeling and Analysis of Disease and Risk Factors through Learning Bayesian Network from Observational Data,” Quality and Reliability Engineering International, 24, 291-302.

41.  Li, J., and Shi, J., 2007, “Knowledge Discovery from Observational Data for Process Control using Causal Bayesian Networks,” IIE Transactions, 39 (6), 681 – 690.

  1. Li, J., Shi, J., and Chang, T.S., 2007, “On-line Seam Detection in Rolling Processes using Snake Projection and Discrete Wavelet Transform,” ASME Transactions, Journal of Manufacturing Science and Engineering, 129(5), 926-933.

43.  Lin, G., Li, J., Hu, S. J., and Cai, W., 2007, “A Computational Response Surface Study of 3D Aluminum Hemming using Solid-to-Shell Mapping,” ASME Transactions, Journal of Manufacturing Science and Engineering, 129(2), 360-368.

44.  Jin, R., Li, J., and Shi, J., 2007, “Quality Prediction and Control in Rolling Processes using Logistic Regression,” Transactions of NAMRI/SME, 35, 113-120.

45.  Liu, J., Li, J., and Shi, J., 2005, “Integration of Engineering Knowledge Driven Cause-Effect Modeling and Statistical Analysis for Multi-Operational Machining Process Diagnosis,” Transactions of NAMRI/SME, 33, 65-72.