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Selected Publications (full list in CV)

  1. 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.
  2. 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.
  3. Liu, X., Gough, A., Li, J. , “Semiconductor Corner Lot Generation Robust to Process Variation: Modeling and Analysis”. IISE Transactions, in press.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. Gaw, N., Schwedt, T., Chong, C., Wu, T., Li., J., “A Clinical Decision Support System using Multi-modality Imaging Data for Disease Diagnosis”, IISE Transactions on Healthcare Systems Engineering, in press.
  9. 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 (impact factor: 2.961), 57(7): 1051-1064.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Schwedt, T., Chong, C., Gaw, N., Fu, Y., Wu, T., Li, J., 2015, “Accurate Classification of Chronic Migraine via Brain Magnetic Resonance Imaging”, Headache (impact factor: 2.961), 55(6):762-77.

15.  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.

17.  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.

18.  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.

19.  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.

  1. 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.

21.  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, 50, 935-949.

22.  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.

23.  Huang, S., Li, J., Ye, J., Wu, T., Chen, K., Fleisher, A., Reiman, E., “Identifying Alzheimer’s Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis,” The 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) (paper acceptance rate 4.8%) December 13-15, 2011, Granada, Spain. Supplemental Material.

24.  Huang, S., Li, J., Ye, J., Fleisher, A., Chen, K., and Wu, T., Reiman, E., “Brain Effective Connectivity  modeling for Alzheimer’s Disease by Sparse Bayesian Network,” The 17th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2011) (paper acceptance rate 17.5%), August 21-24, 2011, San Diego, USA.

25.  Huang, S., Li, J., Sun, Li., Ye, J., Chen, K., and Wu, T., Fleisher, A., and Reiman, E., "Learning Brain Connectivity of Azheimer's Disease from Neuroimaging Data," The 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009) (paper acceptance rate 8%), December 7-9, 2009, Vancouver, B.C., Canada. Supplemental Material.

26.  Sun, L., Patel, R., Liu, J., Chen, K., Wu, T., Li, J., Reiman, R., and Ye, J., 2009, “Mining Brain Region Connectivity for Alzheimer's Disease Study via Sparse Inverse Covariance Estimation,” The 15th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2009) (paper acceptance rate 9.8%), June 28-July 1, 2009, Paris, France.

27.  Ye, J., Chen, K., Wu, T., Li, J., Zhao, Z., Patel, R., Bai, M., Janardan, R., Liu, H., Alexander, G., and Reiman, E., 2008, “Heterogeneous Data Fusion for Alzheimer’s Disease Study,” The 14th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2008) (paper acceptance rate 14%), August 24-27, 2008, Las Vegas, USA.