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Jianguo Liu

Associate Professor

University of North Texas

Department of Mathematics

(940) 565-4703

Email: jgliu@unt.edu

Education

  • PhD, Cornell University, 1994
    Major: Applied Mathematics
  • MS, Cornell University, 1991
    Major: Mathematics
  • MS, Xiangtan University, Xiangtan, China, 1985
    Major: Computational Mathematics
  • BS, Xiangtan University, Xiangtan, China, 1982
    Major: Computational Mathematics

Professional Positions

  • Associate Professor, University of North Texas. University of North Texas. (2001 - Present).
  • Assistant Professor, University of North Texas. University of North Texas. (1996 - 2001).

    • Academic - Post-Secondary

  • Visiting Assistant Professor, University of California, San Diego. University of California, San Diego. (1994 - 1996).

Teaching

Teaching Experience

    University of North Texas

  • MATH 1100 - Algebra, 1 course.
  • MATH 1190 - Business Calculus, 1 course.
  • MATH 1400 - College Math with Calculus, 3 courses.
  • MATH 1650 - Pre Calculus, 2 courses.
  • MATH 1680 - Elementary Probability and Statistics, 4 courses.
  • MATH 1710 - Calculus I, 14 courses.
  • MATH 1720 - Calculus II, 3 courses.
  • MATH 2100 - Functions and Modeling for Secondary Mathematics Instruction, 1 course.
  • MATH 2700 - Linear Algebra and Vector Geometry, 5 courses.
  • MATH 2730 - Multivariable Calculus, 7 courses.
  • MATH 3350 - Introduction to Numerical Analysis, 20 courses.
  • MATH 3410 - Differential Equations I, 19 courses.
  • MATH 3680 - Applied Statistics, 1 course.
  • MATH 3850 - Mathematical Modeling, 22 courses.
  • MATH 4450 - Introduction to the Theory of Matrices, 1 course.
  • MATH 4900 - Special Problems, 9 courses.
  • MATH 4910 - Special Problems, 1 course.
  • MATH 4980 - Experimental Course, 1 course.
  • MATH 5210 - Numerical Analysis, 4 courses.
  • MATH 5220 - Numerical Analysis, 1 course.
  • MATH 5500 - Introduction to the Theory of Matrices, 1 course.
  • MATH 5900 - Special Problems, 25 courses.
  • MATH 5910 - Special Problems, 3 courses.
  • MATH 5950 - Master's Thesis, 4 courses.
  • MATH 6710 - Topics in Applied Mathematics, 2 courses.
  • MATH 6900 - Special Problems, 5 courses.
  • MATH 6940 - Individual Research, 3 courses.
  • MATH 6950 - Doctoral Dissertation, 10 courses.

Directed Student Learning

  • Dissertation Committee Member, Mathematics. (October 2023 - October 2023).
  • Master's Thesis Committee Member, Mathematics. (June 2023 - June 2023).
  • Supervised Research, "Optimization on Traffic," Texas Academy of Mathematics and Science. (January 2023 - May 2023).
  • Supervised Research, "Optimization on Traffic," Texas Academy of Mathematics and Science. (January 2023 - May 2023).
  • Directed Individual/Independent Study, "Stat. Genetics multiple traits," Mathematics. (January 15, 2023 - May 15, 2023).
  • Directed Individual/Independent Study, "Stat. Genetics multiple traits," Mathematics. (August 12, 2022 - December 22, 2022).
  • Directed Individual/Independent Study, "Machine Learning," Mathematics. (January 10, 2022 - May 22, 2022).
  • Supervised Research, "EEG Data Classification," Texas Academy of Mathematics and Science. (January 10, 2022 - May 22, 2022).
  • Supervised Research, "EEG Data Classification," Texas Academy of Mathematics and Science. (January 10, 2022 - May 22, 2022).
  • Dissertation Committee Member, Mathematics. (2021 - 2021).
  • Dissertation Committee Member, Mathematics. (2021 - 2021).
  • Dissertation Committee Member, Mathematics. (2021 - 2021).
  • Master's Thesis Committee Member, Mathematics. (2021 - 2021).
  • Master's Thesis Committee Member, Mathematics. (2020 - 2020).
  • Dissertation Committee Member, Mathematics. (2019 - 2019).
  • Dissertation Committee Member, Mathematics. (2019 - 2019).
  • Dissertation Committee Member, Mathematics. (2019 - 2019).
  • Master's Thesis Committee Member, Mathematics. (2019 - 2019).
  • Supervised Research, Texas Academy of Mathematics and Science. (2019 - 2019).
  • Supervised Research, Texas Academy of Mathematics and Science. (2019 - 2019).
  • Supervised Research, Texas Academy of Mathematics and Science. (2019 - 2019).
  • Master's Thesis Committee Member, Mathematics. (2018 - 2018).
  • Master's Thesis Committee Member, Mathematics. (2018 - 2018).
  • Supervised Research, Biomedical Engineering. (2018 - 2018).
  • Supervised Research, Mathematics. (2018 - 2018).
  • Supervised Research, Texas Academy of Mathematics and Science. (2018 - 2018).
  • Major Professor, Mathematics. (2016 - 2018).
  • Dissertation Committee Member, Mathematics. (2015 - 2018).
  • Master's Thesis Committee Chair, Mathematics. (2017 - 2017).
  • Major Professor, Mathematics. (2016 - 2017).
  • Dissertation Committee Member, Biological Sciences. (2012 - 2017).
  • Master's Thesis Committee Member, Mathematics. (2015 - 2016).

Awards and Honors

  • Best Paper Award, 35th Design Automation Conference, San Francisco. (1998).

Research

Published Intellectual Contributions

    Abstracts and Proceedings

  • P. Dong and J. Liu. (2010). " Earth Observing-1 (EO-1) Hyperspectral Image Classification Using Support Vector Machine".

    • Book Chapter

  • X. Yuan, B. Giritharan, M. Abouelenien, J. Liu, and X. Yuan. (2013). "Geometric Incremental Support Vector Machine for Object Detection from Capsule Endoscopy Videos".

    • Conference Proceeding

  • Liu, J., Vyas, A., Rebello, E. (2023). A Lagrangian Approach to Loss Function Optimization on Traffic Network Regularity. IEEE.
  • Liu, J., Li, Z. (2023). Fake and Untrue News Dataset (FUND): An Expanded Dataset for Fake News Classification. IEEE.
  • Liu, J., Li, Z., Yang, J. (2022). An Undersampled Model for Automated Sleep Stage Scoring Using EEG Data. Association for Computing Machinery New York, NY, United States.
  • Liu, J., Jiang, J. (2020). Predicting Stock Market N-Days Ahead Using SVM Optimized by Selective Thresholds. ACM International Conference Proceeding Series.
  • Liu, J., Woodson, B. (2019). Deep Learning Classification for Epilepsy Detection Using a Single Channel Electroencephalography (EEG). ACM International Conference Proceeding Series.
  • Liu, J. (2018). Instance Selection in the Projected High Dimensional Feature Space for SVM.
  • Liu, J. (2017). US Financial Market Forecasting using Data Classification With Features From Global Markets.
  • Yuan, X., Abouelenien, M., Giritharan, B., Liu, J., Yuan, X. (2013). Geometric Incremental Support Vector Machine for Object Detection from Capsule Endoscopy Videos.
  • Echeverria, E., Luo, G., Liu, J., Mei, W., Pasquale, F., Colon Santanta, J., Dowben, P., Zhang, L., Kelber, J. (2013). Magneto-Resistance in thin film boron carbides. APS Meeting Abstracts.
  • Giritharan, B., Yuan, X., Liu, J., Buckles, B., Oh, J., Tang, S.J. (2008). Bleeding detection from capsule endoscopy videos. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. 4780--4783.
  • Liu, J., Yuan, X., Buckles, B. (2008). Breast cancer diagnosis using level-set statistics and support vector machines. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. 3044--3047.
  • Quintanilla, J.A., Liu, J., D'Souza, N.A., Mirshams, R.A. (2007). Integration of Engineering Concepts in Freshman Calculus. AC 2007-1878.

    • Journal Article

  • Zhang, J., Xie, S., Gonzales, S., Liu, J., Wang, X. (2020). A fast and powerful eQTL weighted method to detect genes associated with complex trait using GWAS summary data. Genetic Epidemiology. Wiley.
  • Mai, B., Liu, J. (2019). Information Security Risks Propagation and Management in Supply Chain: An Analytical Approach. Journal of Information System Security. 15 (1)
  • Liu, J. (2016). Epilepsy Detection Using EEG With Different Time Frames. 4 Science and Engineering Publishing Company.
  • Liu, J. (2015). Does model misspecification matter for hedging? A computational finance experiment based approach. The International Journal of Finance. 2 (3) World Scientific.
  • Liu, J., Bao, X., Hrovat, D.A., Borden, W.T. (2015). Theoretical Analysis of the Fragmentation of (CO)5: A Symmetry-Allowed Highly Exothermic Reaction that Follows a Stepwise Pathway.. The Journal of Organic Chemistry. 80 (23) 11788-93.
  • J. Liu, N. Danait, S. Hu, and S. Sengupta,. (2013). "A Leave-One-Feature-Out Wrapper Method for Feature Selection in Data Classification".
  • Abouelenien, M., Yuan, X., Giritharan, B., Liu, J., Tang, S. (2013). Cluster-based sampling and ensemble for bleeding detection in capsule endoscopy videos. American Journal of Science and Engineering. 2 (1) 24--32.
  • S. Fu, J. Liu and H. Pannu. (2012). "A Hybrid Anomaly Detection Framework in Cloud Computing using One-Class and Two-Class Support Vector Machines".
  • H. Pannu, J. Liu and S. Fu. (2012). "A Self-Evolving Anomaly Detection Framework for Developing Highly Dependable Utility Clouds".
  • H. Pannu, J. Liu and S. Fu. (2012). "AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures".
  • H. Pannu, J. Liu and S. F. (2012). "AFD: Adaptive Failure Detection System for Cloud Computing Infrastructures".
  • J. Liu. (2011). " Computational Error Control in Numerical Solution of Differential Equations ".
  • P. Dong and J. Liu. (2011). " Hyperspectral Image Classification Using Support Vector Machines with an Efficient Principal Component Analysis Scheme ".
  • D. Kaown and J. Liu. (2009). "A Fast Geometric Algorithm for Finding the Minimum Distance between Two Convex Hulls".
  • B. Giritharan, X. Yuan, and J. Liu. (2009). "Incremental Classification Learning for Anomaly Detection in Medical Images".
  • J. Liu and X. Yuan. (2009). "Obscure Bleeding Detection in Endoscopy Images Using Support Vector Machines".
  • Liu, J., Yuan, X. (2009). Obscure bleeding detection in endoscopy images using support vector machines. Optimization and Engineering. 10 (2) 289--299. Springer US.
  • J. Liu, X. Yuan, and B. Buckles. (2008). "Automated Breast Cancer Diagnosis using Level-set Statistics and Support Vector Machines".
  • B. Giritharan, X. Yuan, J. Liu, B. Buckles, S. Tang, and J. Oh. (2008). "Bleeding Detection from Capsule Endoscopy Videos".
  • J. Quintanilla, N. D'Souza, J. Liu and R. Mirshams. (2007). "Integration of Engineering Concepts in Freshman Calculus".
  • Liu, J., Yuan, X. (2007). Obscure bleeding detection in endoscopy images using support vector machine. Other. 49 383. UNIVERSAL ACADEMY PRESS, INC..
  • D. Kaown and J. Liu. (2006). "Geometric Methods for Support Vector Machines".
  • Liu, J., Lei, J., Magtoto, N., Rudenja, S., Garza, M., Kelber, J. (2005). The effects of an iodine surface layer on Ru reactivity in air and during Cu electrodeposition. Journal of the Electrochemical Society. 152 (2) G115–G121. The Electrochemical Society.
  • Garza, M., Liu, J., Magtoto, N., Kelber, J. (2004). Adhesion behavior of electroless deposited Cu on Pt/Ta silicate and Pt/SiO 2. Applied Surface Science. 222 (1) 253–262. North-Holland.
  • S. Yan, J. Liu, and W. Shi. (2003). "Improving the Accuracy of Boundary Element Method for Parasitic Extraction".
  • T.F. Coleman, J. Liu, and W. Yuan. (2002). " A New Trust-region Algorithm for Equality Constrained Optimization".
  • W. Shi, J. Liu, N. Kakani, T. Yu. (2002). "A Fast Hierarchical Algorithm for 3-D Capacitance Extraction".
  • J. Liu. (2002). "An Interior Trust Region Algorithm for Nonlinear Minimization with Linear Constraints".
  • T.F. Coleman, J. Liu, and W. Yuan. (2000). " A Quasi-Newton Quadratic Penalty Method for Minimization Subject to Nonlinear Equality Constraints".
  • T.F. Coleman and J. Liu. (2000). " An Exterior Newton Method for Large-scale Convex Quadratic Programming".
  • T.F. Coleman and J. Liu. (1999). " An Interior Newton Method for Quadratic Programming".

Presentations Given

    Oral Presentation

  • Liu, J. (Author), the 2022 6th International Conference on Deep Learning Technologies, An Undersampled Model for Automated Sleep Stage Scoring Using EEG Data, Xi'an China, China. (2022 - 2022).
  • Zhang, J. (Author), Wang, X. (Author & Presenter), Gonzales, S. (Author), Liu, J. (Author), The 11th International Chinese Statistical Association International Conference, A Fast and powerful eQTL weighted method to detect genes associated with complex trait using GWAS summary data, Hangzhou, China, China. (2019 - 2019).
  • Liu, J. (Author), the 7th International Workshop on Database and Data Mining, Instance Selection in the Projected High Dimensional Feature Space for SVM, Chongqing, China, China. (2018).

    • Poster

  • Zhang, J. (Author), Gonzales, S. (Author), Liu, J. (Author), Wang, X. (Author & Presenter), American Society of Human Genetics 2019 Annual Meeting, Gene-based association testing for GWAS summary data using the general optimally weighted combination method, Houston, US, United States of America. (2019 - 2019).

    • Professional Meeting Contribution

  • Liu, J. (Author), the 6th International Workshop on Database and Data Mining, US Financial Market Forecasting using Data Classification With Features From Global Markets, Chengdu, China, China. (2017).

    • Webinar

  • Liu, J. (Author), 2023 6th International Conference on Big Data Technologies, Fake and Untrue News Dataset (FUND): An Expanded Dataset for Fake News Classification, Qingdao, China, China. (2023).

Contracts, Grants, Sponsored Research

    Sponsored Research

  • Liu, J. (Co-Principal), Wang, X. (Co-Principal), "Novel Methodological Strategies in Genetic Discovery and Risk Prediction for Schizophrenia," sponsored by College of Science, UNT, University of North Texas, $10000 Funded. (2019 - 2019).

Service

University Service

  • Committee Member, Applied Math Qualifying. (August 2023 - December 2023).
  • Faculty Advisor, Undergraduate Advisor. (August 2023 - December 2023).
  • Committee Chair, Undergraduate Affairs Committee. (August 2023 - December 2023).
  • Committee Member, NA/PDE Search Committee. (2023 - 2023).
  • Committee Member, Applied Math Qualifying. (January 2023 - May 2023).
  • Faculty Advisor, Undergraduate Advisor. (January 2023 - May 2023).
  • Committee Chair, Undergraduate Affairs Committee. (January 2023 - May 2023).
  • Committee Member, Applied Math Qualifying. (August 2022 - December 2022).
  • Faculty Advisor, Undergraduate Advisor. (August 2022 - December 2022).
  • Committee Chair, Undergraduate Affairs Committee. (August 2022 - December 2022).
  • Committee Member, Lecturer Search Committee. (2022 - 2022).
  • Committee Chair, Undergraduate Affairs Committee. (January 2022 - June 2022).
  • Committee Member, Applied Math Qualifying. (January 2022 - May 2022).
  • Faculty Advisor, Undergraduate Advisor. (January 2022 - May 2022).
  • Committee Member, Applied Math Qualifying. (August 2021 - December 2021).
  • Faculty Advisor, Undergraduate Advisor. (August 2021 - December 2021).
  • Committee Chair, Undergraduate Affairs Committee. (August 2021 - December 2021).
  • Committee Member, Math Ed Faculty Search Committee. (2021 - 2021).
  • Faculty Advisor, Undergraduate Advisor. (January 2021 - June 2021).
  • Committee Member, Applied Math Qualifying. (January 2021 - May 2021).
  • Committee Chair, Undergraduate Affairs Committee. (January 2021 - May 2021).
  • Committee Member, Applied Math Qualifying. (August 2020 - December 2020).
  • Committee Chair, Undergraduate Affairs Committee. (August 2020 - December 2020).
  • Faculty Advisor, Undergraduate Advisor. (July 2020 - December 2020).
  • Faculty Advisor, Math Modeling Contest. (January 2018 - December 2020).
  • Faculty Advisor, Undergraduate Advisor. (January 2020 - June 2020).
  • Committee Member, Applied Math Qualifying. (January 2020 - May 2020).
  • Committee Chair, Undergraduate Affairs Committee. (January 2020 - May 2020).
  • Committee Member, Applied Math Qualifying. (August 2019 - December 2019).
  • Committee Chair, Undergraduate Affairs Committee. (August 2019 - December 2019).
  • Faculty Advisor, Undergraduate Advisor. (July 2019 - December 2019).
  • Committee Member, Applied PDE Faculty Search Committee. (2019 - 2019).
  • Faculty Advisor, Math Modeling Contest. (January 2017 - December 2019).
  • Faculty Advisor, Undergraduate Advisor. (January 2019 - June 2019).
  • Committee Member, Applied Math Qualifying. (January 2019 - May 2019).
  • Committee Chair, Undergraduate Affairs Committee. (January 2019 - May 2019).
  • Committee Member, Applied Math Qualifying. (August 2018 - December 2018).
  • Committee Chair, Undergraduate Affairs Committee. (August 2018 - December 2018).
  • Faculty Advisor, Undergraduate Advisor. (July 2018 - December 2018).
  • Faculty Advisor, Undergraduate Advisor. (January 2018 - June 2018).
  • Committee Member, Applied Math Qualifying. (January 2018 - May 2018).
  • Committee Chair, Undergraduate Affairs Committee. (January 2018 - May 2018).
  • Committee Chair, Applied Math Qualifying. (August 2017 - December 2017).
  • Committee Chair, Undergraduate Affairs Committee. (August 2017 - December 2017).
  • Faculty Advisor, Undergraduate Advisor. (July 2017 - December 2017).
  • Faculty Advisor, Undergraduate Advisor. (January 2017 - June 2017).
  • Committee Member, Applied Math Qualifying. (January 2017 - May 2017).
  • Committee Chair, Undergraduate Affairs Committee. (January 2017 - May 2017).
  • Committee Chair, Applied Math Qualifying. (August 2016 - December 2016).
  • Committee Member, Undergraduate Affairs Committee. (August 2016 - December 2016).
  • Faculty Advisor, Undergraduate Advisor. (July 2016 - December 2016).
  • Faculty Advisor, Undergraduate Advisor. (January 2016 - June 2016).
  • Committee Member, Applied Math Qualifying. (January 2016 - May 2016).
  • Committee Member, CAS Undergraduate Curriculum Committee. (January 2016 - May 2016).
  • Committee Chair, Undergraduate Affairs Committee. (January 2016 - May 2016).

Professional Service

  • Reviewer, Conference Paper, 2023 3rd International Conference on Computer Systems. (2023 - 2023).
  • Committee Member, 2023 7th International Conference on Deep Learning Technologies. (2023 - 2023).
  • Reviewer, Conference Paper, 2023 7th International Conference on Deep Learning Technologies. (2023 - 2023).
  • Editor, Journal Editor, Mansoura Journal for Computer and Information Sciences. (2023 - 2023).
  • Reviewer, Conference Paper, The Engineering in Medicine and Biology Conference Management System. (2023 - 2023).
  • Committee Member, 2022 2nd International Conference on Computer Systems. (2022 - 2022).
  • Committee Member, 2022 6th International Conference on Deep Learning Technologies. (2022 - 2022).
  • Reviewer, Conference Paper, 2022 6th International Conference on Deep Learning Technologies. (2022 - 2022).
  • Editor, Journal Editor, Mansoura Journal for Computer and Information Sciences. (2022 - 2022).
  • Reviewer, Conference Paper, The Engineering in Medicine and Biology Conference Management System. (2022 - 2022).
  • Committee Member, 2021 5th International Conference on Deep Learning Technologies. (2021 - 2021).
  • Reviewer, Conference Paper, 2021 5th International Conference on Deep Learning Technologies. (2021 - 2021).
  • Editor, Journal Editor, Mansoura Journal for Computer and Information Sciences. (2021 - 2021).
  • Reviewer, Conference Paper, The Engineering in Medicine and Biology Conference Management System. (2021 - 2021).
  • Reviewer, Journal Article, Computers and Electrical Engineering, journal article. (2020 - 2020).
  • Reviewer, Conference Paper, Several conference proceeding papers. (2020 - 2020).
  • Committee Member, Several conference proceeding papers, program committee member and reviewer. (2020 - 2020).
  • Committee Member, Several conference proceeding papers, program committee member and reviewer. (2020 - 2020).
  • Committee Member, Several conference proceeding papers, program committee member and reviewer. (2020 - 2020).
  • Reviewer, Conference Paper, Several conference proceeding papers. (2019 - 2019).
  • Committee Member, Several conference proceeding papers, program committee member and reviewer. (2019 - 2019).
  • Committee Member, Several conference proceeding papers, program committee member and reviewer. (2019 - 2019).
  • Reviewer, Conference Paper, Several conference proceeding papers. (2018 - 2018).
  • Committee Member, Several conference proceeding papers, program committee member and reviewer. (2018 - 2018).
  • Reviewer, Conference Paper, The Engineering in Medicine and Biology Conference. (2017 - 2017).
  • Reviewer, Conference Paper, The IEEE 2017 6th International Workshops on Database and Data Mining. (2017 - 2017).
  • Reviewer, Conference Paper, The IEEE International Conference on Biomedical and Health Informatics. (2017 - 2017).
  • Reviewer, Conference Paper, The International Workshop on Big Data Applications in Smart City. (2017 - 2017).
  • Reviewer, Journal Article, ACM Computing Surveys. (2016 - 2016).
  • Reviewer, Conference Paper, The Engineering in Medicine and Biology Conference. (2016 - 2016).