Recent Publications

• J. Jiang and J. Liu, "Predicting Stock Market N-Days Ahead Using SVM Optimized by Selective Thresholds", Proceedings of the 2020 12th International Conference on Machine Learning and Computing, ACM International Conference Proceeding Series, pp: 11-16, 2020.
• J. Zhang, S. Xie, S. Gonzales, J. Liu, X. Wang, "A fast and powerful eQTL weighted method to detect genes associated with complex trait using GWAS summary data", Genetic Epidemiology, Vol. 44 Issue 6, pp: 550-563, 2020.
• B. Mai and J. Liu, "Information Security Risks Propagation and Management in Supply Chain: An Analytical Approach", Journal of Information System Security, Vol. 15 Issue 1, pp: 3-25, 2019.
• J. Liu and B. Woodson, "Deep Learning Classification for Epilepsy Detection Using a Single Channel Electroencephalography (EEG) ", Proceedings of the 2019 3rd International Conference on Deep Learning Technologies, ACM International Conference Proceeding Series, pp: 23-26, 2019.
• J. Liu and R. Danait, "Instance Selection in the Projected High Dimensional Feature Space for SVM", Proceedings of the 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC), pp: 875-879, 2018.
• J. McCluskey and J. Liu, "US Financial Market Forecasting using Data Classification With Features From Global Markets", Proceedings of the 2017 IEEE 2nd International Conference on Image, Vision and Computing (ICIVC), IEEE, pp: 965-969, 2017.
• J. Liu, "Epilepsy Detection Using EEG With Different Time Frames", Advances in Biomedical Engineering Research, Vol. 4, pp18 - 22, 2016.
• Y. Sun, K.G. Yuan, S. Guo, J. Liu, and S. Yuan, "Does model misspecification matter for hedging? A computational finance experiment based approach", International Journal of Financial Engineering, Vol. 2, No. 3, 2015.
• T. Coleman and J. Liu, "An Interior Point Method for Large Scale Linear Feasibility Problems", Proceedings of the 3rd International Conference on Mechatronics and Computational Mechanics, 2014.
• M. Abouelenien, X. Yuan, B. Giritharan, J. Liu, S. Tang, "Cluster-based Sampling and Ensemble for Bleeding Detection in Capsule Endoscopy Videos",
  American Journal of Science and Engineering, American Journal of Science and Engineering. pp: 24-32, Vol. 2, No. 1 (Special Issue), 2013.
• X. Yuan, B. Giritharan, M. Abouelenien, J. Liu, and X. Yuan, "Geometric Incremental Support Vector Machine for Object Detection from Capsule
  Endoscopy Videos", book chapter in Computer-aided Cancer Detection and Diagnosis: Recent Advance, Jinshan Tang and Sos Agaian SPIE Press, 2013.
• J. Liu, N. Danait, S. Hu, and S. Sengupta, "A Leave-One-Feature-Out Wrapper Method for Feature Selection in Data Classification",
  Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013.
• H. Pannu, J. Liu and S. Fu, "AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures",
  Proceedings of the 31st IEEE International Symposium on Reliable Distributed Systems, 2012.
• H. Pannu, J. Liu and S. Fu, "A Self-Evolving Anomaly Detection Framework for Developing Highly Dependable Utility Clouds",
  Proceedings of the IEEE GLOBECOM, 2012.
• H. Pannu, J. Liu and S. Fu, "AFD: Adaptive Failure Detection System for Cloud Computing Infrastructures",
  Proceedings of the 31st IEEE International Performance Computing and Communications Conference, 2012
• S. Fu, J. Liu and H. Pannu, "A Hybrid Anomaly Detection Framework in Cloud Computing using One-Class and Two-Class Support Vector Machines",
  in S. Zhou, S. Zhang, and G. Karypis, editors, Advanced Data Mining and Applications, Lecture Notes on Artificial Intelligence 7713, Springer, 2012.
• P. Dong and J. Liu, "Hyperspectral Image Classification Using Support Vector Machines with an Efficient Principal Component Analysis Scheme",
  in Y. Wang and T. Li, editors, Foundations of Intelligent Systems, pp. 131-140, Springer, 2011.
• J. Liu, "Computational Error Control in Numerical Solution of Differential Equations",
  in Mark Zhou, editor, Advances in Communication Technology, pp. 139-144, IERI, 2011.
• P. Dong and J. Liu, "Earth Observing-1 (EO-1) Hyperspectral Image Classification Using Support Vector Machine",
  the 8th International Conf. on Optimization: Techniques and Applications, 2010.
• J. Liu and X. Yuan, "Obscure Bleeding Detection in Endoscopy Images Using Support Vector Machines",
  Optimization and Engineering, 2009, (10), pp. 289-299.
• D. Kaown and J. Liu, "A Fast Geometric Algorithm for Finding the Minimum Distance between Two Convex Hulls",
  Proceedings of the 48th IEEE Conference on Decision and Control, pp: 1189-1194, 2009.
• B. Giritharan, X. Yuan, and J. Liu, "Incremental Classification Learning for Anomaly Detection in Medical Images",
  Proceedings of the SPIE Conference on Medical Imaging, 2009.
• J. Liu, X. Yuan, and B. Buckles, "Automated Breast Cancer Diagnosis using Level-set Statistics and Support Vector Machines",
  Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008.
• B. Giritharan, X. Yuan, J. Liu, B. Buckles, S. Tang, and J. Oh, "Bleeding Detection from Capsule Endoscopy Videos",
  Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008.

| UNT Home Page | Department of Mathematics |