Please visit my Google Scholar link here.

Journal Articles

  1. Du, F. Li, J. Li, and T. Zheng, “Achieving 100x Acceleration for N-1 Contingency Screening with Uncertain Scenarios using Deep Convolutional Neural Network,” IEEE Transactions on Power Systems, In-Press, 2019.
  2. Debrup Banerjee, Kazi Islam, Keyi Xue, Gang Mei, Lemin Xiao, Roger Xu, Shuiwang Ji and Jiang Li, “A Deep Transfer Learning Approach for Post-Traumatic Stress Disorder Diagnosis”, Knowledge and Information Systems (Impact factor: 2.25),  pp. 1-32, 2019.
  3. E Oguslu, Kazi Islam, Daniel Perez, VJ Hill, WP Bissett, RC Zimmerman, J Li, “Detection of seagrass scars using sparse coding and morphological filter”, Remote Sensing of Environment (Impact factor: 6.46), 213, 92-103, 2018.
  4. H Zhang, Jiang Li, T Wang, H Lin, Z Zheng, Y Li, Y Lu, “A manifold learning approach to urban land cover classification with optical and radar data”, Landscape and Urban Planning (Impact factor: 4.56), 172, 11-24. 2018.
  5. C Kwan, X Zhu, F Gao, B Chou, D Perez, J Li, Y Shen, K Koperski,, “Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images”, Sensors (Impact factor: 2.68) 18 (4), 1051, 2018.
  6. D Wang, J Shen, L Mei, S Qian, Jiang Li, Z Hao, “Performance Investigation of a Wearable Distributed-Deflection Sensor in Arterial Pulse Waveform Measurement”, IEEE Sensors Journal (Impact factor: 2.51) 17 (13), 3994 – 4004, 2017. 
  7. Feng Li, Guangfan Zhang, Wei Wang, Roger Xu, Tom Schnell, Jonathan Wen, Frederick McKenzie and Jiang Li*, “Deep Models for Engagement Assessment with Scarce Label Information”, IEEE Transaction on Human-Machine Systems (Impact factor: 2.49), 47 (4), 598 – 605, 2017.
  8. Ender Oguslu*, Guoqing Zhou*, Zezhong Zheng, Khan Iftekharuddin and Jiang Li*, “Sparse coding based dense feature representation model for hyperspectral image classification”, Journal of Electronic Imaging (Impact factor: 1.06), 24 (6), 063009-1-12, 2015.
  9. Amr Yousef*, Jiang Li and Mohammad Karim, “High-speed image registration algorithm with subpixel accuracy”, IEEE Signal Processing Letters (Impact factor: 2.53), 22(10), 1796-1800, 2015.
  10. Feng Li, Loc Tran, Kim-Ham Thung, Shuiwang Ji, Dinggang Shen and Jiang Li, “A robust deep model for improved classification of AD/MCI patients”, IEEE Journal of Biomedical and Health Informatics (Impact factor: 3.45), vol. 19, no. 5, pp. 1610 – 1616, 2015.
  11. X Sun, Y Yoon, Jiang Li, FD McKenzie, “Automated image-guided surgery for common and complex dental implants”, Journal of Medical Engineering & Technology (Impact factor: 0.95), vol. 38, no. 5, pp. 251-259, 2014.
  12. E Kugu, Jiang Li, FD McKenzie and OK Sahingoz, “Fuzzy logic approach and sensitivity analysis for agent-based crowd injury modeling”, Simulation (Impact factor: 0.71), vol. 90, no. 3, pp. 320-336, 2014.
  13. N Kidane, S Chemlal, Jiang Li, FD McKenzie, T Hubbard, “Orientation invariant ECG-based stethoscope tracking for heart auscultation training on augmented standardized patients”, Simulation (Impact factor: 0.71), vol. 89, no. 12, pp. 1450-1458, 2013.
  14. Loc Tran, Debrup Banerjee, Jihong Wang, Ashok J Kumar, Rick McKenzie, Yaohang Li and Jiang Li, “High-dimensional MRI data analysis using a large-scale manifold learning approach” Machine Vision and Applications (Impact factor: 1.10), vol. 24, pp. 995-1014, 2013.
  15. Yu-Fei Shen, Zia-ur Rahman, Dean Krusienski and Jiang Li, “A Vision-based Automatic Safe Landing-site Detection System”, IEEE Transactions on Aerospace and Electronic Systems (Impact factor: 2.76), vol. 49, no. 1, pp. 294-311, 2013.
  16. Hoang-Anh T Nguyen, John Musson, Jiang Li et al. “EOG Artifact Removal using a Wavelet Neural Network”, Neurocomputing (Impact factor: 3.32), vol. 97, pp. 374-389, 2012.
  17. Yu-Fei Shen, Dean Krusienski, Jiang Li and Zia-ur Rahman, “A Hierarchical Horizon Detection Algorithm”, IEEE Geoscience and Remote Sensing Letters (Impact factor: 2.76), vol. 10, no. 1, pp. 111-114, 2012.
  18. Amr Yousef, Jiang Li and Mohammad Karim, “Mathematical Model Development of Super-resolution Image Wiener Restoration”, Optical Engineering (Impact factor: 1.08), vo. 51, no. 3, pp. 037007, 2012.
  19. Shao-Hui Chuang, Jiang Li, Ayyappa Vadlamudi, Shao-Hui Chuang, Xiaoyan Sun, Bo Sun, Frederic D. McKenzie, Lisa Cazares, Julius Nyalwidhe, Dean Troyer and John Semmes, “Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis”, Simulation (Impact factor: 0.71), vo. 88, no. 10, pp. 1247-1259, 2012.
  20. Xiaoyan Sun, FD. McKenzie, S. Bawab, Jiang Li, Yongki Yoon, Jen-K Huang. “Automated Dental Implantation Using Image-guided Robotics – Registration Results.” International Journal of Computer Assisted Radiology and Surgery (Impact factor: 1.71), vol. 6, no. 5, pp. 627-34, 2011.
  21. Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara, “Improving Polyp Detection Algorithm for CT Colonography: Pareto Front Approach”, Pattern Recognition Letters (Impact factor: 1.59), vol. 31, no. 11, pp. 1461-1469, 2010.
  22. Jiang Li, A. Huang, J. Yao and RM. Summers, “Optimizing computer-aided Colonic Polyp Detection for CT Colonography by Evolving the Pareto Front”, Medical Physics (Impact factor: 2.64), vol. 36, no. 1, pp. 201-212, 2009.
  23. Jianhua Yao, Jiang Li and Ronald Summers, “Employing Topographical Height Map in Colonic Polyp Measurement and False Positive Reduction”, Pattern recognition (Impact factor: 3.40), vol. 42, no. 6, pp. 1029-1040, 2009.
  24. Yuzhong Shen, Jiang Li, Vamsi Mantena, and Srinivas Jakkula, “Seasonal Adaptation of Vegetation Color in Satellite Images for Flight Simulations”, Journal of Intelligent Learning Systems and Applications (Impact factor: 1.75), vol. 1, no. 1, pp. 42-51, 2009.
  25. Jiang Li and Ronald M. Summers et al., “Wavelet Method for CT Colonography Computer-aided Polyp Detection”, Medical Physics (Impact factor: 2.64), vol. 35, no. 8, pp. 3527-3538, 2008.
  26. Pramod L. Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco Maldonado, “An integrated growing-pruning method for feedforward network training”, Neurocomputing (Impact factor: 3.32), vol. 71, no. 13-15, pp. 2831-2847, 2008.
  27. Ou Bai, Peter Lin, Sherry Vorbach, Jiang Li, Steve Furlani, and Mark Hallett, “Exploration of Computational Methods for Classification of Movement Intention during Human Voluntary Movement from Single Trial EEG”, Clinical Neurophysiology (Impact factor: 2.98), Vol. 118, no. 12, pp2637-55, Dec. 2007.
  28. Chandrasekaran, Jiang Li, Changhua Yu and Michael T. Manry, “Convergent Design of Piecewise Linear Neural Networks”, Neurocomputing (Impact factor: 3.32), no. 70, pp. 1022–1039, 2007.
  29. Jiang Li, Michael T. Manry, P. L. Narasimha and Changhua Yu, “Feature Selection Using a Piecewise Linear Network”, IEEE Trans. on Neural Network (Impact factor: 2.63), vol. 17, no. 5, pp. 1101-1115, 2006.
  30. Jiang Li, Jianhua Yao, Ronald Summers, Nicholas Petrick, Michael T. Manry and Amy K. Hara “An efficient feature selection algorithm for polyp detection in CAD system”, International Journal on Artificial Intelligence Tools (Impact factor: 0.78), vol. 15, no. 6, pp. 893-915, 2006.
  31. Changhua Yu, Michael T. Manry, and Jiang Li, “An Efficient Hidden Layer Training Method for the Multilayer Perceptron”, Neurocomputing (Impact factor: 3.32), vol. 70, no. 1-3, pp. 525-535, 2006.
  32. Jiang Li, Michael T. Manry and Changhua Yu, “Prototype Based Classifier Design with Pruning”, International Journal on Artificial Intelligence Tools (Impact factor: 0.78), vol. 14, no, 1-2, pp. 261-280, 2005.
  33. G. Gore, Jiang Li, M. T. Manry, L. M. Liu and Changhua Yu, “Iterative Design of Neural Network Classifiers through Regression”, International Journal on Artificial Intelligence Tools (Impact factor: 0.78), vol. 14, no, 1-2, pp. 281-302, 2005.
  34. Changhua Yu, Michael T. Manry and Jiang Li, “Effects of nonsingular preprocessing on feedforward network training”, International Journal of Pattern Recognition and Artificial Intelligence (Impact factor: 1.0), vol. 19, no. 2, pp. 217-247, 2005.

Book Chapters

  1. Jiang Li, Natalie Chuang, Vamsi Mantena, Feng Li and Frederick D. McKenzie, “Application of Machine Learning Techniques to Biomarker Identification for Prostate Cancer”, Chapter 5 in Computational Techniques and Algorithms for Image Processing: Reviews, Principles and Applications on Pattern Recognition, Image Enhancement, Compression and Watermarking ISBN: 978-3-8433-5802-6, edit by: S. Ramakrishnan and Ibrahiem M. M. EI Emary, Publisher: Lambert Academic Publishing (LAP), Germany, Oct. 2010.
  2. Guangfan Zhang, Roger Xu, Wei Wang, Aaron A. Pepe, Feng Li, Jiang Li, Frederick McKenzie, Tom Schnell, Nick Anderson and Dean Hitkamp, “Model Individualization for Real-time Operator Functional State Assessment”, Chapter 40 in Advances in Human Aspects of Aviation ISBN: 978-4398-7116-4, edit by: Waldemar Karwowski, Publisher: CRC Press, pages: 417-426, 2012.

Conference Proceedings (*indicating not refereed)

  1. N Rui, C Wang, C Xin, J Li, L Zhu and H Wu, “CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis”, accepted by INFOCOM 2019 (acceptance rate: 17%).
  2. K Islam, D Perez, J Li, “A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge”, IEEE Big Data Workshop, 2018. (Outstanding paper award)
  3. KA Islam, D Pérez, V Hill, B Schaeffer, R Zimmerman, J Li, “Seagrass detection in coastal water through deep capsule networks”, PRCV, 320-331, 2018.
  4. D Pérez, K Islam, V Hill, R Zimmerman, B Schaeffer, J Li, “Deepcoast: Quantifying seagrass distribution in coastal water through deep capsule networks”, PRCV (oral presentation, acceptance rate: 5%), 404-416, 2018.
  5. MRU Hoque, KA Islam, D Perez, V Hill, B Schaeffer, R Zimmerman, J Li, “Seagrass Propeller Scar Detection using Deep Convolutional Neural Network”, IEEE UEMCON, 2018.
  6. D Perez, Y Lu, C Kwan, Y Shen, K Koperski, J Li, “Combining Satellite Images with Feature Indices for Improved Change Detection”, Proceedings of the IEEE UEMCON, 2018.
  7. Y Lu, D Perez, M Dao, C Kwan, J Li, “Deep Learning with Synthetic Hyperspectral Images for Improved Soil Detection in Multispectral Imagery”, Proceedings of the IEEE UEMCON, 2018.
  8. Chiman Kwan, Bryan Chou, Adam Echavarren, Bence Budavari, Jiang Li, Trac Tran, “Compressive Vehicle Tracking Using Deep Learning”, Proceedings of the IEEE UEMCON, 2018.
  9. Rui Ning, Cong Wang, ChunSheng Xin, Jiang Li, Hongyi Wu, “DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks”, IEEE Conference on Pervasive Computing and Communication (PerCom) (Best paper award, acceptance rate: 17%), Mar 19-23, 2018, Athens, Greece.
  10. Debrup Banerjee, Kazi Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Shuiwang Ji and Jiang Li, “A deep transfer learning approach for improved post-traumatic stress disorder diagnosis”, ICDM, 2017, oral presentation (acceptance rate: 9.25%).
  11. Daniel Perez, Yuzhong Shen, Joan Dayanghirang, Shengli Wang, Zezhong Zheng and Jiang Li, “Deep learning for pulmonary nodule CT image retrieval – An online assistance system for novice radiologists”, ICDM PhD Forum, 2017.
  12. Md Moin, Uddin Chowdhury, Chunsheng Xin, Hongyi Wu and Jiang Li, “A few-shot deep learning approach for improved intrusion detection”, IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference, 2017.
  13. Daniel Perez, D Banerjee, C Kwan, M Dao, Y Shen, K Koperski, G Marchision and Jiang Li, “Deep learning form effective detection of excavated  soil related to illegal activities”, IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference, 2017.
  14. S Wang, Z Zheng, and Jiang Li et. al., “Progressive network transmission method research of vector data”, International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystems, 2016.
  15. Zezhong Zheng, P Chen, M Zhu, Z Huang and Jiang Li, “A novel manifold learning for dimensionality reduction and classification with hyperspectral image”, Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 8th Workshop on. 2016.
  16. Zezhong Zheng, Chengjun Pu, Mingcang Zhu, Zhiqin Huang, Yong He, Yicong Feng, Yufeng Lu, Zhenlu Yu, Shengli Wang, Shijie Yu and Jiang Li, “The tradeoff of accuracy with different landmarks with manifold learning”, IGARSS, 2016.
  17. Shijie Yu, Zezhong Zheng, Wunian Yang, Mingcang Zhu, Yong He, Zhenlu Yu, Shengli Wang, Fu Wang and Jiang Li, “The monitoring of land use and land cover change of Sichuan province and Chengdu district, China”, IGARSS, 2016.
  18. Zezhong Zheng, Pengxu Chen, Mingcang Zhu, Zhiqin Huang, Yong He, Yicong Feng, Yufeng Lu, Zhenlu Yu, Shijie Yu, Shengli Wangj and Jiang Li, “The manifold learning for dimensionality reduction with hyperspectral image”, IGARSS, 2016.
  19. Zezhong Zheng, Shijie Yu, Yong He, Wenqiang Guo, Wunian Yang, Hongsheng Zhang, Jiang Li, “Monitoring of land use/land cover change of Ruoergai Nature Reserve in Sichuan province, China”, International Conference on Intelligent Earth Observing and Applications, pp. 98080Y-98080Y-6, 2015.
  20. Zezhong Zheng, Chengjun Pu, Mingcang Zhu, Jun Xia, Xiang Zhang, Yalan Liu, Jiang Li, “Damaged road extracting with high-resolution aerial image of post-earthquake”, International Conference on Intelligent Earth Observing and Applications, pp. 980807-980807-6, 2015.
  21. Loc Tran, Zezhong Zheng, Guoqing Zhou, Jiang Li, “Adaptive graph construction for Isomap manifold learning”, IS&T SPIE, 2015.
  22. Deqi Zhou, Loc Tran, Jihong Wang, Jiang Li, “A comparative study of two prediction models for brain tumor progression”, IS&T SPIE, 2015.
  23. E Oguslu, S Erkanli, VJ Hill, WP Bissett, RC Zimmerman, Jiang Li, “Detection of seagrass scars using sparse coding and morphological filter”, SPIE Remote Sensing, 92400G-92400G-9, 2014.
  24. Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen and Jiang Li, “Robust Deep Learning for Improved Classification of AD/MCI Patients”, MLMI, Boston, Sep., 2014.
  25. Rongjian Li, W Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen and Shuiwang Ji, “Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis”, MICCAI, Sep., Boston, 2014.
  26. E Oguslu, G Zhou and Jiang Li, “Hyperspectral image classification using a spectral-spatial sparse coding model”, SPIE Remote Sensing, pp. 88920R-88920R-6, 2013.
  27. Loc Tran, Frederick McKenzie, Jihong Wang and Jiang Li, “Large-scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction”, MLMI 2013, Lecture Notes of Computer Science, Nagoya, Japan. pp. 219-226, 2013.
  28. Debrup Banerjee, Jiang Li, Jia Di and D. R. Thompson, “Feature selection for RFID tag identification”, 7th International Conference on Communications and Networking in China, Aug. 2012, Best paper award.
  29. Konowicz and Jiang Li, “Real-time anomaly detection in full motion video”, Proc. SPIE 8386, 838601, 2012.
  30. Aras, Yuzhong Shen and Jiang Li, “Procedural wound geometry and blood flow generation for medical training simulators”, Proc. SPIE Medical Imaging, 8316, 2012.
  31. H. Yousef, Jiang Li and M. Karim, “Fast stochastic Wiener filter for superresolution image restoration with information theoretic visual quality assessment”, Proc. SPIE 8399, 839906, 2012. (http://dx.doi.org/10.1117/12.918938)
  32. H. Yousef, Jiang Li and M. Karim, “Toward automatic subpixel registration of unmanned airborne vehicle images”, Proc. of SPIE 8399, 839902, 2012. (http://dx.doi.org/10.1117/12.918935)
  33. Oguslu, K. Iftekharuddin and Jiang Li, “Sparse coding for hyperspectral images using random dictionary and soft thresholding”, Proc. SPIE 8399, 83990A, 2012. (http://dx.doi.org/10.1117/12.919162)
  34. Tran, D. Banerjee, Xiaoyan Sun, Jihong Wang, Jiang Li, et al., “A large-scale manifold learning approach for brain tumor progression prediction”, MLMI 2011, Lecture Notes of Computer Science (LNCS) 7009, pp. 265-272, 2011. Toronto, Canada 2011 (Oral presentation, acceptance rate: 20%).
  35. Xiaoyan Sun, Yongki Yoon, Jiang Li and Frederic McKenzie, “An integrated computer-aided robotic system for dental implantation”, MICCAI workshop, Toronto, Canada 2011. (Subsequently published on an online journal: http://www.midasjournal.org/browse/publication/804)
  36. Amr Hussein Yousef, Jiang Li and Mohammad Karim, “On the visual quality enhancement of super-resolution images”, Proc. SPIE 8135, 81350Z, 2011. (http://dx.doi.org/10.1117/12.889291)
  37. Qun Wang, Jiang Li, Vijayan K. Asari and Mohammad A. Karim, “3D face reconstruction from limited images based on differential evolution”, Proc. SPIE 8135, 813518, 2011. (http://dx.doi.org/10.1117/12.894253)
  38. Qun Wang, Jiang Li, Vijayan K. Asari and Mohammad A. Karim, “2D face database diversification based on 3D face modeling”, Proc. SPIE 8001, 80010M, 2011. (http://dx.doi.org/10.1117/12.894605)
  39. Guangfan Zhang, Wei Wang, Aaron Pepe, Roger Xu, To Schnell, Nick Anderson, Dean Heitkamp, Jiang Li, Feng Li and Frederic McKenzie, “A systematic approach for real-time operator functional state assessment”, ModSim, Virginia Beach, Oct. 2011. (A primary conference for modeling and simulation)
  40. Feng Li, Jiang Li, Frederic McKenzie, Guangfan Zhang, Wei Wang, Aaron Pepe, Roger Xu, Tom Schnell, Nick Anderson and Dean Heitkamp, “Engagement assessment using EEG signals”, Modsim, Virginia Beach, Oct. 2011.
  41. Debrup Banerjee, Loc Tran, Jiang Li, Yuzhong Shen, Frederic McKenzie and Jihong Wang, “Prediction of brain tumor progression using multiple histogram matched MRI scans”, Proc. SPIE 7963, 79632U, 2011. (http://dx.doi.org/10.1117/12.878208)
  42. Debrup Banerjee, Jihong Wang and Jiang Li, “Histogram analysis of ADC in brain tumor patients”, Proc. SPIE 7961, 79613V, 2011. (http://dx.doi.org/10.1117/12.878259)
  43. Shao-Hui Chuang, Xiaoyan Sun, Wen-Yu Chang, Gwo-Shing Chen, Adam Huang, Jiang Li and Frederic D. McKenzie, “BCC skin cancer diagnosis based on texture analysis techniques”, Proc. SPIE 7963, 79633O, 2011. (http://dx.doi.org/10.1117/12.878124)
  44. Yu-Fei Shen, Zia-ur Rahman, Dean Krusienski and Jiang Li, “Automatic detection of aircraft emergency landing sites”, Proc. SPIE 8056, 80560H, 2011. (http://dx.doi.org/10.1117/12.882506)
  45. Emin Kugu, Jiang Li, FD, McKenzie and OK Sahingoz, “Fuzzy Logic Injury Design for Crowd Modeling”, in proceedings of SpringSim MMS, SCS/ACM, pp. 66-72, 2011. (A primary conference for modeling and simulation)
  46. Guangfan Zhang, John Leddo, Roger Xu, Carl Richey, Tom Schnell, Frederick McKenzie and Jiang Li, “A systematic approach for engagement analysis under multitasking environments”, ModSim2010, Hampton, VA, Oct. 2010.
  47. Hoang-Anh T Nguyen, John Musson, Jiang Li and Frederick McKenzie, Guangfan Zhang, Roger Xu, Carl Richey and Tom Schnell, ” EEG Artifact Removal Using A Wavelet Neural Network”, ModSim2010, pp. 820-828, Hampton, VA, October 2010.
  48. Feng Li, Frederick McKenzie, Jiang Li, Guangfan Zhang, Roger Xu, Carl Richey and Tom Schnell, “Imbalanced Learning for Functional State Assessment”, ModSim2010, pp. 675-682, Hampton, VA, October 2010.
  49. Jiang Li, Ayyappa Vadlamudi, Shao-Hui Chuang, Xiaoyan Sun, Bo Sun, Frederic D. McKenzie, Lisa Cazares, Julius Nyalwidhe, Dean Troyer and John Semmes, “Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis”, the 10th IEEE International Conference on Bioinformatics & Bioengineering, May 31st, Philadelphia, PA, pp. 73-78, 2010. (Oral presentation)
  50. Emin Kugu, Frederic D. McKenzie, Jiang Li and Ozgur Koray Sahingoz, “Multi Agent Design and Implementation of Crowd Injury Model”, in proceedings of SpringSim’10, 2010. (A primary conference for modeling and simulation)
  51. Ayyappa Vadlamudi, Shao-Hui Chuang, Xiaoyan Sun, Lisa Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Jiang Li and Frederic D. McKenzie, “Prostate cancer region prediction using MALDI mass spectra”, Proc. SPIE 7624, 762422, 2010. (http://dx.doi.org/10.1117/12.844494)
  52. Yuzhong Shen, Debrup Banerjee, Jiang Li, Adam Chandler, Yufei Shen, Frederic D. McKenzie and Jihong Wang, “Prediction of brain tumor progression using a machine learning technique”, Proc. SPIE 7624, 762425, 2010. (http://dx.doi.org/10.1117/12.844035)
  53. Shao-Hui Chuang, Xiaoyan Sun, Lisa Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Jiang Li and Frederic D. McKenzie, “Adjacent slice prostate cancer prediction to inform MALDI imaging biomarker analysis”, Proc. SPIE 7624, 762433, 2010. (http://dx.doi.org/10.1117/12.844403)
  54. Guangfan Zhang, Roger Xu, Wei Wang, Jiang Li, Tom Schnell and Mike Keller, “Individualized Cognitive Modeling for Closed-Loop Task Mitigation”, in proceeding of ModSim2009, pp. 223-228, Virginia Beach, VA, October 2009, Best paper presentation award.
  55. Vamsi Mantena, Wenjuan Jiang, Jiang Li and Rick McKenzie, “Prostate Cancer Biomarker Identification Using MALDI-MS DATA: Initial Results”, IEEE/NIH LiSSA, pp. 116-119, 2009.
  56. Jihong Wang, Yufei Shen, John DeGroot, Yuzhong Shen and Jiang Li, “Using CSF as an internal quality assurance tool in diffusion tensor imaging studies of brain tumor”, Proc. SPIE 7262, 726203, 2009. (http://dx.doi.org/10.1117/12.812128)
  57. Ramu Pedada, Emin Kugu, Jiang Li, Zhanfeng Yue and Yuzhong Shen, “Parameter optimization for image denoising based on block matching and 3D collaborative filtering”, Proc. SPIE 7259, 725925, 2009. (http://dx.doi.org/10.1117/12.812202)
  58. Xiaoyan Sun, Shao-Hui Chuang, Jiang Li and Frederic McKenzie, “Automatic diagnosis for prostate cancer using run-length matrix method”, Proc. SPIE 7260, 72603H, 2009. (http://dx.doi.org/10.1117/12.811414)
  59. Jianhua Yao, Suzanne Frentz, Jiang Li and Ronald Summers, “Polyp height and width measurement using topographic height map”, Proc. SPIE 6916, 69160B, 2008. (http://dx.doi.org/10.1117/12.769463)
  60. Vamsi K. R. Mantena, Ramu Pedada, Srinivas Jakkula, Yuzhong Shen and Jiang Li, “Vegetation Identification based on Satellite Imagery”, IPCV 2008, pp. 245-251, Las Vegas Nevada, July 14-17, 2008.
  61. Pedada, Yuzhong Shen, Jiang Li and K. E. Barner, “Binary-output Weighted Median Filter for Binary Signals”, IPCV 2008, pp. 259-263, Las Vegas Nevada, July 14-17, 2008.
  62. Jakkula, V. Mantena, R. Pedada, Yuzhong Shen and Jiang Li, “Seasonal Adaptation of Vegetation Color in Satellite Images,” IPCV 2008, pp. 10-14, Las Vegas Nevada, July 14-17, 2008.
  63. Abdul A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, Robert G. Gore, “A Piecewise Linear Network Classifier”, IJCNN, pp. 1750-1755, Orlando, FL, August 12-17, 2007.
  64. Jianhua Yao, Jiang Li, Ronald Summers, “CT Colonography Computer-Aided Polyp Detection using Topographical Height Map”, ICIP, pp. V21-V24, San Antonio, November 12, 2007.
  65. Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick and Amy K. Hara, “Using Pareto fronts to evaluate polyp detection algorithms for CT colonography”, Proc. SPIE 6514, 651407, 2007. (http://dx.doi.org/10.1117/12.709426)
  66. Jianhua Yao, Jiang Li and Ronald Summers, “Collaborative classifiers in CT colonography CAD”, Proc. SPIE 6514, 65142H, 2007. (http://dx.doi.org/10.1117/12.708318)
  67. Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao and Ronald M. Summers, “Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography”, Proc. SPIE 6514, 65142G, 2007. (http://dx.doi.org/10.1117/12.707965)
  68. Robert Van Uitert, Jiang Li, Ronald Summers, “Computer-aided Detection of Colonic Diverticular Disease”, ISBI, pp. 1244-1247, Washington D.C., Apr. 12-15, 2007.
  69. (*) Hoang-Anh T. Nguyen, Jiang Li, Ender Oguslu and Frederic D. McKenzie, “Heart Sound Cancellation using an Adaptive Wavelet Thresholding Method”, Local Capstone conference, VMASC, April, 2011.
  70. (*) Deepak Joshi, Jiang Li, Dimitrie Popescu and Jihong Wang, “Brian Tumor Growth Prediction Using a Dimensionality Reduction Method”, Local Capstone conference, VMASC, April, 2010.
  71. (*) Wenjuan Jiang, Jiang Li and Rick McKenzie, ” Prostate Cancer Biomarker Identification: A Comparative Study”, Local Capstone conference, VMASC, April, 2009.
  72. (*) Emin Kugu and Jiang Li, “Assessment of Denoising Algorithm by Evolving the Pareto Front”, Local Capstone conference, VMASC, April, 2009.
  73. (*) Yufei Shen, Jiang Li, Yuzhong Shen and Jihong Wang, “MRI Brain Tumor Segmentation Using a Region Growing Method Based on Dynamic Thresholds”, Local Capstone conference, VMASC, April, 2008.
  74. (*) Vamsi K. R. Mantena, Jiang Li and Rick McKenzie, “Biomarker Identification by using Mass Spectrum Data”, Local Capstone conference, VMASC, April, 2008.
  75. Jiang Li, M. Franaszek, N. Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers, “Wavelet Method for CT Colonography Computer-aided Polyp Detection”, in Proceedings of ISBI, pp. 1316-1319, Arlington, VA, April 6-9, 2006.
  76. Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, and Amy K. Hara, “Hybrid Committee Classifiers for a Computerized Colonic Polyp Detection System”, in Proceedings of SPIE 6144, pp. 61445A, San Diego, CA, February 13, 2006.
  77. Jiang Li, A. Huang, J. Yao, I. Bitter, RM. Summers, P. Pickhardt and JR. Choi, “Automatic Colonic Polyp Detection Using Multiobjective Evolutionary Technique”, in Proceedings of SPIE 6144, pp. 61445E, San Diego, CA, February, 2006.
  78. Sharon Greenblum, Jiang Li, Adam Huang, Ronald Summers, “Wavelet Analysis in Virtual Colonoscopy”, in Proceedings of SPIE 6143, pp. 614336, San Diego, CA, February, 2006.
  79. L. Narasimha, W. Delashmit, M. T. Manry, Jiang Li and f. Maldonado, “Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks”, in Proceedings of FLAIRS 2006, pp. 706-712 Orlando, FL, May 11-13, 2006.
  80. Jiang Li, Jianhua Yao and Ronald Summers, “An efficient feature selection algorithm for polyp detection in CAD system”, in proceedings of FLAIRS, pp. 381-386, Tampa, FL, May, 2005.
  81. Jiang Li, Qilian Liang, and Michael. T. Manry, “A Nonlinear Filtering Approach for Demodulation over Rician Flat Fading Channels”, in proceedings of Globecom, pp. 813-817, Dallas, TX, Nov 29th, 2004.
  82. Jiang Li, Qilian Liang, and Michael. T. Manry, “Co-channel Interference Suppression with Model Simplification in TDMA Systems”, in Proceedings of PIMRC, pp. 1302-1306, Barcelona, Spain, September 5-8, 2004.
  83. Jiang Li, Michael T. Manry, Li-Min Liu, Changhua Yu, and John Wei, “Iterative Improvement of Neural Classifiers”, in Proceedings of the Seventeenth International Conference of the Florida AI Research Society, pp. 700-705, Miami, FL, May 2004.
  84. Jiang Li, Michael T. Manry, and Changhua Yu, “Prototype Based Classifier Design with Pruning”, in proceedings of the Seventeenth International Conference of the Florida AI Research Society, pp. 706-711, Miami, FL, May 2004.
  85. Jiang Li, Qilian Liang, and Michael T. Manry, “Demodulation for Wireless ATM Network Using Modified SOM Network”, in Proceedings of ICASSP, pp. V-669-72, May 17-21, Montreal, Quebec, Canada, 2004.
  86. Jiang Li, Qilian Liang, and Michael T. Manry, “Overcoming Cellular System’s Co-Channel Interference Using SOM Network”, in Proceedings of Radio and Wireless Conference, pp. 123-126, Boston, MA, Aug. 10-13, 2003.
  87. Jiang Li, Qilian Liang, Michael T. Manry, and Tae-Hoon Kim, “A Semi-blind Demodulator Aided by Protocol for Wireless ATM Network”, in 14th IEEE Proceedings of Personal, Indoor and Mobile Radio Communications, Vol. 3, pp. 2093-2097, Beijing, China, September 7-10, 2003.
  88. Jiang Li, Qilian Liang, and Michael T. Manry, “Adaptive Channel Equalization for Satellite Communications with Multipath Based on Unsupervised Learning Algorithm”, in 14th IEEE Proceedings of Personal, Indoor and Mobile Radio Communications, Vol. 1, pp. 730 – 734, Beijing, China, September 7-10, 2003.
  89. Changhua Yu, Michael T. Manry and Jiang Li, “Invariance of MLP Training to Input Feature De-correlation”, in Proceedings of the Seventeenth International Conference of the Florida AI Research Society, pp. 682-687, Miami, FL, May 2004.
  90. Changhua Yu, Michael T. Manry and Jiang Li, “Hidden Layer Training via Hessian Matrix Information”, in Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004.
  91. Tae-Hoon Kim, Jiang Li, and Michael T. Manry, “Evaluation and Improvement of Two Training Algorithms”, Thirty-Sixth Asilomar Conference on Signals, Systems & Computers, vol. 2, pp. 1029-1023, Pacific Grove, CA, August 18-23, 2002.
  92. Jiang Li, Qing Zhuo, and Wenyuan Wang, “A Novel Approach to Analyze the Result of Polygraph”, IEEE International Conference on Systems, Man, and Cybernetics, vol. 4, pp. 2884-2886, Nashville, Tennessee, October 2000.

ABSTRACTS:

  1. R Xu, G Mei, G Zhang, P Gao, T Judkins, M Cannizzaro and Jiang Li, “A voice-based automated system for PTSD screening and monitoring”, Studies in health technology and informatics, vo. 173, pp. 552, 2012.
  2. Salim Chemlal, Sheri Colberg, Jiang Li, Tom W. Hubbard, Frederic D. McKenzie, “Physical Activity Recognition To Support an Individualized Real-Time Prediction Algorithm for Type 2 Diabetes”, International Meeting of Simulation in Healthcare (IMSH), 2011. (A primary conference for simulation in Healthcare)
  3. Bajracharya, Shu Xiao, Jiang Li and Karl Schoenbach, “Target Detection with Focused Pulsed Electromagnetic Radiation”, IEEE International Power Modulator and High Voltage Conference, Atlanta, GA, May 23-27, 2010.
  4. Jiang Li, Yufei Shen, Yuzhong Shen, Rick McKenzie, Nandita Guha-Thakurta, Matthew Debnam, Ashok Kumar and Jihong Wang, “Brain Tumor Progression Assessment Using Multiple MRI Volumes”, oral presentation at RSNA 2009, Chicago, IL, November 29-December 4, 2009.
  5. Vamsi K R Mantena, Jiang Li, Rick McKenzie, Lisa Cazares, Richard Drake and John Semmes, “An Efficient Algorithm for Biomarker Identification”, (poster). EDRN workshop, Bethesda, Maryland, July 28, 2008.
  6. Jiang Li, Ronald M. Summers et al, “Improved Performances of Computer-aided Detection for Medium-sized Polyps on CT Colonography”, European Congress of Radiology 2007, oral presentation, Vienna, Austria March 9-13, 2007.

PATENTS AWARDED:

Ronald M. Summers, Jiang Li and Sharon Greenblum, National Institutes of Health, “Virtual Colonoscopy via Wavelets”, Patent no.: US 8,023,710 B2, Sep. 20, 2011.