Jiang Li

Ph.D. in Electrical Engineering, The University of Texas at Arlington, (2004)

M.S. in Automation, Tsinghua University, (2000)

B.S. in Electrical Engineering, Shanghai Jiao Tong University, (1992)

Research Interests

Research Interests: Machine learning, computer-aided medical diagnosis systems, medical signal/image processing, neural network and modeling and simulation.

Articles

Li, F., Tran, L., Thung, K., Ji, S., Shen, D. and Li, J. (2015). A robust deep model for improved classification of AD/MCI patients. IEEE Journal of Biomedical and Health Informatics 19 (5) , pp. 1610-1616.

Yousef, A., Li, J. and Karim, M. A. (2015). High-speed image registration algorithm with subpixel accuracy. IEEE Signal Processing Letters 22 (10) , pp. 1796-1800.

Sun, X., Yoon, Y., Li, J. and McKenzie, R. (2014). Automated image-guided surgery for common and complex dental implants. Journal of Medical Engineering & Technology 38 (5) , pp. 251-259.

Kugu, E., Li, J., McKenzie, R. and Sahingoz, O. K.. (2014). Fuzzy logic approach and sensitivity analysis for agent-based crowd injury modeling. Simulation 90 (3) , pp. 320-336.

Shen, Y., Rahman, Z., Krusienski, D. and Li, J. (2013). A Vision-based Automatic Safe Landing-site Detection System. IEEE Transactions on Aerospace and Electronic Systems 49 (1) , pp. 294-311.

Shen, Y., Krusienski, D., Li, J. and Rahman, Z. (2012). A Hierarchical Horizon Detection Algorithm. IEEE Geoscience and Remote Sensing Letters 10 (1) , pp. 111-114.

Chuang, S., Li, J., Vadlamudi, A., Yan, X., Sun, B., McKenzie, F. D. ., Cazares, L., Nyalwidhe, J., Troyer, D. and Semmes, J. (2012). Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis. Simulation 88 (10) , pp. 1247-1259.

Nguyen, H. T., Musson, H. and Li, J. (2012). EOG Artifact Removal using a Wavelet Neural Network. Neurocomputing 97 , pp. 374-389.

Yousef, A., Li, J. and Karim, M. A. (2012). Mathematical Model Development of Super-resolution Image Wiener Restoration. Optical Engineering 51 (3) , pp. 037007.

Tran, L., Banerjee, D., Sun, X., Wang, J., Kumar, A., Vinning, D., McKenzie, F. D., Li, Y. and Li, J. (2011). A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. Machine Learning in Medical Imaging, Lecture Notes in Computer Science 7009 , pp. 265-272.

Sun, X., Yoon, Y., Li, J. and McKenzie, F. D. (2011). An Integrated Computer-Aided Robotic System for Dental Implantation. The MIDAS Journal - Systems and Architectures for Computer Assisted Interventions 2011. Selected papers from the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011) , pp. 1-8.

Sun, X., McKenzie, F. D., Bawab, S., Li, J., Yoon, Y. and Huang, J. (2011). Automated Dental Implantation Using Image-guided Robotics – Registration Results. International Journal of Computer Assisted Radiology and Surgery 6 (5) , pp. 627-634.

Banerjee, D., Tran, L., Li, J., Shen, Y. and McKenzie, F. D. Prediciton of Brain Tumor Progression Using Multiple Histogram Matched MRI Scans. SPIE Medical Imaging , pp. 7.

Yao, J., Li, J. and Summers, R. (2009). Colonic Polyp Detection and measurement using Topographical Height Map. Pattern recognition.

Li, J., Huang, A., Yao, J. and Summers, R. (2009). Optimizing Automatic Colonic Polyp Detection by Evolving the Pareto Front. Medical Physics.

Shen, Y., Li, J., Mantena, V. and Jakkula, S. (2009). Seasonal Adaptation of Vegetation Color in Satellite Images for Flight Simulations. Journal of Intelligent Learning Systems and Applications.

Narasimha, P. L.., Delashmit, W. H.., Manry, M. T.. and Li, J. (2008). An integrated growing-pruning method for feedforward network training. Neurocomputing 71 (13-15) , pp. 2831-2847.

Li, J. and Summers, R. M.. (2008). Wavelet Method for CT Colonography Computer-aided Polyp Detection. Medical Physics 35 (8) , pp. 3527-3538.

Bai, O., Lin, P., Vorbach, S., Li, J., Furlani, S. and Hallett, M. (2007). Exploration of Computational Methods for Classification of Movement Intention during Human Voluntary Movement from Single Trial EEG. Neurophysiology 118 (12) , pp. 2637-2655.

Chandrasekaran, H., Li, J., Yu, C. and Manry, M. T.. (2007). Convergent Design of Piecewise Linear Neural Networks. Neurocomputing 70 , pp. 1022–1039.

Li, J., Yao, J., Summers, R., Petrick, N., Manry, M. T.. and Hara, A. K.. (2006). An efficient feature selection algorithm for polyp detection in CAD system. International Journal on Artificial Intelligence Tools 15 (6) , pp. 893-915.

Yu, C., Manry, M. T.. and Li, J. (2006). An Efficient Hidden Layer Training Method for Multilayer Perceptron. Neurocomputing 70 (1-3) , pp. 525-535.

Li, J., Manry, M. T.., Narasimha, P. and Yu, C. (2006). Feature Selection Using a Piecewise Linear Network. IEEE Trans. on Neural Network 17 (5) , pp. 1101-1115.

Yu, C., Manry, M. T.. and Li, J. (2005). Effects of nonsingular pre-processing on feed-forward network training. International Journal of Pattern Recognition and Artificial Intelligence 19 (2) , pp. 217-247.

Gore, R., Li, J., Manry, M., Liu, L. and Yu, C. (2005). Iterative Design of Neural Network Classifiers through Regression. International Journal on Artificial Intelligence Tools 14 (1-2) , pp. 281-302.

Li, J., Manry, M. T.. and Yu, C. (2005). Prototype Based Classifier Design with Pruning. International Journal on Artificial Intelligence Tools 14 (1-2) , pp. 261-280.

Li, J., Zhuo, Q. and Wang, W. (2000). An Electrical DC Model for the Human's Skin Related Mood and its Experimental Method Research. Chinese Journal of Behavioral Medical Science 9 (4) , pp. 225-258.

Book Chapters

Li, J., Huang, S., Mantena, V., Li, F. and McKenzie, F. D. (2010). Application of Machine Learning Techniques to Biomarker Identification for Prostate Cancer Computational Intelligence Techniques in Handling Image Processing and Pattern Recognition.

Conference Proceeding

Zheng, Z., Chen, P., Zhu, M., Huang, Z., Lu, Y., Feng, Y. and Li, J. (2017). A novel manifold learning for dimensionality reduction and classification with hyperspectral image Los Angeles, CA: 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016.

Ibanez, D. Perez., Li, J., Shen, Y., Dayanghirang, J., Wang, S. and Zheng, Z. (2017). Deep Learning for Pulmonary Nodule CT Image Retrieval—An Online Assistance System for Novice Radiologists 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 1112--1121).

Chuang, S., Sun, X., Chang, W., Chen, G., Huang, A., Li, J. and McKenzie, F. D. (2011). BCC skin cancer diagnosis based on texture analysis techniques Orlando, FL: International Society for Optical Engineering (SPIE) International Symposium on MEDICAL IMAGING.

Banerjee, D., Tran, L., Li, J., McKenzie, F. D. and Wang, J. (2011). Prediction of brain tumor progression using multiple histogram matched MRI scans Orlando FL: International Society for Optical Engineering (SPIE) International Symposium on MEDICAL IMAGING.

Chuang, S., Sun, X., Chang, W., Chen, G., Huang, A., Li, J. and McKenzie, F. D. BCC Skin Cancer Diagnosis Based on Texture Analysis Techniques Orlando: Proceedings of the International Society for Optical Engineering, International Symposium on Medical Imaging.

Chemlal, S., Colberg-Ochs, S. R., Li, J., Hubbard, T. and McKenzie, F. D. (2011). Physical Activity Recognition to Support an Individualized Real-Time Prediction Algorithm for Type 2 Diabetes (pp. 159) New Orleans: Proceeding of hte International Meeting on Simulation in Healthcare Conference.

Nguyen, H., Musson, J., Li, J., McKenzie, F. D., Zhang, G., Xu, R., Richey, C. and Schnell, T. (2010). EEG Artifact Removal Using A Wavelet Neural Network Hampton, VA: ModSim'10.

Li, J. (2010). Imbalanced Learning for Functional State AssessmentImbalanced Learning for Functional State Assessment ModSim.

Shen, Y., Li, J., Chandler, A., Shen, Y., McKenzie, F. D. and Wang, J. (2010). Prediction of Brain Tumor Progression using a Machine Learning Technique SPIE Medical Imaging.

Li, J. (2010). Prostate Cancer Region Prediction using MALDI Mass Spectra SPIE Medical Imaging.

Li, J. (2010). ulti-agent Design and Implementation of Crowd Injury Model SpringSim'10.

Li, J., Vadlamudi, A., Chuang, S., Sun, X., Sun, B., McKenzie, F. D., Cazares, L., Nyalwidhe, J., Troyer, D. and Semmes, O. John. Combining Prosate Cancer REgion Predictions form MALDI Spectra Processing and Texture Analysis (pp. 73-78) Philadelphia: Preceedings of the 10th IEEE International Conderence on Bioinformatics and BioEngineering.

Li, J., Vadlamudi, A., Chuang, S., Sun, x., Sun, B., McKenzie, F., Nyalwidhe, J., Troyer, D. and Semmes, J. (2010). Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis BIBE.

Kugu, E., McKenzie, F. D., Li, J. and Sahingoz, O. Koray. Multi Agent Design and Implementiation of Crowd Injury Model (pp. 114-121) Orlando: Proceedings of the 14th Spring Simulation Multiconference 2010 Agent-Directed Simulation Symposium.

Vadlamudi, A., Sun, X., Chuang, S., Cazares, L., Nyalwidhe, J., Troyer, D., Semmes, O. John., Li, J. and McKenzie, F. D. Prostate Cancer Region Prediction using MALDI Mass Spectra San Dieago: Proceedings of the International Society for Optical Engineering International Symposium on Medical Imaging.

Kugu, E. and Li, J. (2009). Assessment of Denoising Algorihtm by Evolving the Pareto Front Capstone conference, VMASC .

Sun, X., Chuang, S., Li, J. and McKenzie, F. (2009). Automatic Diagnosis for Prostate Cancer using Run-length Matrix Method SPIE 2009.

Zhang, G., Xu, R., Wang, W., Li, J., Schnell, T. and Keller, M. (2009). Individualized Cognitive Modeling for Closed-Loop Task Mitigation MODSIM 2009.

Pedada, R., Li, J., Yue, Z. and Shen, Y. (2009). Parameter Optimization for Image Denoising Based on Block Matching and 3D Collaborative Filtering SPIE 2009.

Jiang, W., Li, J. and McKenzie, F. D. (2009). Prostate Cancer Biomarker Identification: A Comparative Study Capstone conference, VMASC.

Wang, J., Shen, Y., de Groot, J. F.., Shen, Y. and Li, J. (2009). Using CSF as an internal quality assurance tool in diffusion tensor imaging studies of brain tumor SPIE 2009.

McKenzie, F., Sun, X., Yoon, Y., Huang, J. and Li, J. (2009). Robotic Dental Implantation: Making Case for Automation Orlando, FL: Proceedings of the SPIE Medical Imaging Conference.

Pedada, R., Shen, Y., Li, J. and Barner, K. (2008). Binary-output Weighted Median Filter for Binary Signals IPCV.

Mantena, V. K.R.., Li, J. and McKenzie, R. (2008). Biomarker Identification by using Mass Spectrum Data Capstone conference, VMASC.

Shen, Y., Li, J., Shen, Y. and Wang, J. (2008). MRI Brain Tumor Segmentation Using a Region Growing Method Based on Dynamic Thresholds Capstone conference, VMASC.

Yao, J., Frentz, S., Li, J. and Summers, R. (2008). Polyp Height and Width Measurement Using Topographic Height Map SPIE Medical Imageing.

Jakkula, S., Mantena, V., Pedada, R., Shen, Y. and Li, J. (2008). Seasonal Adaptation of Vegetation Color in Satellite Images IPCV.

Mantena, V. K.R.., Pedada, R., Jakkula, S., Shen, Y. and Li, J. (2008). Vegetation Identification based on Satellite Imagery IPCV.

Abdurrab, A. A.., Manry, M. T.., Li, J., Malalur, S. S.. and Gore, R. G.. (2007). A Piecewise Linear Network Classifier IJCNN.

Yao, J., Li, J. and Summers, R. (2007). CT Colonography Computer-Aided Polyp Detection using Topographical Height Map ICIP.

Van Uitert, R., Li, J. and Summers, R. (2007). Computer-aided Detection of Colonic Diverticular Disease Washington D.C.: International Symposium on Biomedical Imaging.

Li, J. and Summers, R. M.. (2007). Improved Performances of Computer-aided Detection for Medium-sized Polyps on CT Colonography Vienna: European Congress of Radiology.

Yao, J., Li, J. and Summers, R. (2007). Collaborative classifiers in CT Colonography CAD San Diego, California: SPIE Medical Imaging.

Huang, A., Li, J., Summers, R. M.., Petrick, N. and Hara, A. K.. (2007). Using Pareto Fronts to Evaluate Polyp Detection Algorithms for CT Colonography San Diego, California: SPIE Medical Imaging.

Li, J., Huang, A., Petrick, N., Yao, J., Pickhardt, R., Choi, J. and Summers, R. (2007). Validating Pareto Optimal Operation Parameters of Polyp Detection Algorithms for CT Colonography San Diego, California: SPIE Medical Imaging.

Li, J., Huang, A., Yao, J., Bitter, I., Summers, R., Pickhardt, P. and Choi, J. (2006). Automatic Colonic Polyp Detection Using Multiobjective Evolutionary Technique SPIE.

Narasimha, P., Delashmit, W., Manry, M., Li, J. and Maldonado, F. (2006). Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks FLAIRS.

Li, J., Yao, J., Petrick, N., Summers, R. M.. and Hara, A. K.. (2006). Hybrid Committee Classifiers for a Computerized Colonic Polyp Detection System SPIE.

Greenblum, S., Li, J., Huang, A. and Summers, R. (2006). Wavelet Analysis in Virtual Colonoscopy SPIE.

Li, J., Petrick, F. N.., Yao, J., Huang, A. and Summers, R. M.. (2006). Wavelet Method for CT Colonography Computer-aided Polyp Detection ISBI.

Li, J., Yao, J. and Summers, R. (2005). An efficient feature selection algorithm for polyp detection in CAD system FLAIRS.

Li, J., Liang, Q. and Manry, M. T.. (2004). A Nonlinear Filtering Approach for Demodulation over Rician Flat Fading Channels Globecom.

Li, J., Liang, Q. and Manry, M. T.. (2004). Co-channel Interference Suppression with Model Simplification in TDMA Systems PIMRC.

Li, J., Liang, Q. and Manry, M. T.. (2004). Demodulation for Wireless ATM Network Using Modified SOM Network ICASSP.

Yu, C., Manry, M. T.. and Li, J. (2004). Hidden Layer Training via Hessian Matrix Information Proceedings of the Seventeenth International Conference of the Florida AI Research Society.

Yu, C., Manry, M. T.. and Li, J. (2004). Invariance of MLP Training to Input Feature De-correlation Proceedings of the Seventeenth International Conference of the Florida AI Research Society.

Li, J., Manry, M. T.., Liu, L., Yu, C. and Wei, J. (2004). Iterative Improvement of Neural Classifiers Seventeenth International Conference of the Florida AI Research Society.

Li, J., Manry, M. T.. and Yu, C. (2004). Prototype Based Classifier Design with Pruning Seventeenth International Conference of the Florida AI Research Society.

Li, J., Liang, Q., Manry, M. T.. and Kim, T. (2003). A Semi-blind Demodulator Aided by Protocol for Wireless ATM Network (pp. 2093-2097) 14th IEEE Proceedings of Personal Indoor and Mobile Radio Communications.

Li, J., Liang, Q. and Manry, M. T.. (2003). Adaptive Channel Equalization for Satellite Communications with Multipath Based on Unsupervised Learning Algorithm (pp. 730 – 734) 14th IEEE Proceedings of Personal, Indoor and Mobile Radio Communications.

Kim, T., Li, J. and Manry, M. T.. (2002). Evaluation and Improvement of Two Training Algorithms (pp. 1029-1023) Thirty-Sixth Asilomar Conference on Signals, Systems & Computers.

Li, J., Zhuo, Q. and Wang, W. (2000). A Novel Approach to Analyze the Result of Polygraph (pp. 2884-2886) IEEE International Conference on Systems, Man, and Cybernetics.

Presentations

Bajracharya, C., Xiao, S., Li, J. and Schoenbach, K. H. (May 27, 2010). Target Detection with Focused Pulsed Electromagnetic Radiation IEEE International Power Modulator and High Voltage Conference Atlanta, gA.

Li, J., Shen, Y., Shen, Y., McKenzie, F. D., Guha-Thakurta, N., Debnam, M., Kumar, A. and Wang, J. ( 2009). Brain Tumor Progression Assessment Using Multiple MRI Volumes Oral presentation, RSNA .

• 2006: Fellows Award for Research Excellence, NIH
• 2003: TxTEC Award for 2003-2004 Academic Year, UTA
• 2002: Image Processing and Neural Network Scholarship, UTA
• 2000: Herman Fellowship for 2000-2001 Academic Year, UTA