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ORCIDJiang Li 0001
Person information
- affiliation: Old Dominion University, Norfolk, VA, USA
Other persons with the same name
- Jiang Li — disambiguation page
- Jiang Li 0002
![[0000-0001-5769-8647]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5769-8647")
— Nanjing University, School of Information Management, Nanjing, China (and 1 more) - Jiang Li 0003 — Northeast Electric Power University, School of Electrical Engineering, Jilin, China
- Jiang Li 0004 — Chongqing University, College of Computer Science, Chongqing, China
- Jiang Li 0005 — Tsinghua University, State Key Laboratory of Hydroscience and Engineering, Beijing, China
- Jiang Li 0006 — California Institute of Technology, Watson Laboratory of Applied Physics, Pasadena, CA, USA
- Jiang Li 0007 — Tokyo University of Agriculture and Technology, Tokyo, Japan
- Jiang Li 0008 — Microsoft Research Asia, Beijing, China
- Jiang Li 0009 — Howard University, Washington, DC, USA
- Jiang Li 0010 — Griffith University, Gold Coast, Australia
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2020 – today
- 2024
[j43]Kazi Aminul Islam, Hongyi Wu, Chunsheng Xin, Rui Ning, Liuwan Zhu, Jiang Li:
Sub-Band Backdoor Attack in Remote Sensing Imagery. Algorithms 17(5): 182 (2024)- [c98]Liuwan Zhu, Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu:
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly. AAAI 2024: 7766-7774 - [c97]Jerry Cao-Xue, Hongfang Zhang, Adam Stavola, Bence Budavari, Chiman Kwan, Hongyi Wu, Jiang Li:
Improved Radiation Estimation at High Energy Facility for Public Health. UEMCON 2024: 44-50 - [c96]Jackie Wei, Hongfang Zhang, Adam Stavola, Bence Budavari, Chiman Kwan, Hongyi Wu, Jiang Li:
Optimizing Transformer-based Models for Radiation Estimation at High Energy Accelerator Facility. UEMCON 2024: 51-57 - 2023
- [j42]Chester V. Dolph, Corey Ippolito, Louis J. Glaab, Michael J. Logan, Loc D. Tran, B. Danette Allen, Mahbubul Alam, Jiang Li, Khan Iftekharuddin:
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets. J. Aerosp. Inf. Syst. 20(8): 489-507 (2023) - [j41]Victoria Hill, Richard Zimmerman, Paul Bissett, David Kohler, Blake Schaeffer, Megan M. Coffer, Jiang Li, Kazi Aminul Islam:
Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery. Remote. Sens. 15(19): 4715 (2023) - [j40]Yuhe Shen, Jiang Li, Weifang Zhu, Kai Yu, Meng Wang, Yuanyuan Peng, Yi Zhou, Liling Guan, Xinjian Chen:
Graph Attention U-Net for Retinal Layer Surface Detection and Choroid Neovascularization Segmentation in OCT Images. IEEE Trans. Medical Imaging 42(11): 3140-3154 (2023) - [j39]Daniel Pérez, Yuzhong Shen, Jiang Li:
Mesh Convolutional Networks With Face and Vertex Feature Operators. IEEE Trans. Vis. Comput. Graph. 29(3): 1678-1690 (2023) - [c95]Xin Wei, Md Reshad Ul Hoque, Jian Wu, Jiang Li:
ClaimDistiller: Scientific Claim Extraction with Supervised Contrastive Learning. EEKE/AII@JCDL 2023: 65-77 - [c94]Rui Ning, Jiang Li, Chunsheng Xin, Chonggang Wang, Xu Li, Robert Gazda, Jin-Hee Cho, Hongyi Wu:
ScanFed: Scalable Behavior-Based Backdoor Detection in Federated Learning. ICDCS 2023: 782-793 - 2022
- [j38]Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang:
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3(6): 100512 (2022) - [j37]Md Reshad Ul Hoque, Jian Wu, Chiman Kwan, Krzysztof Koperski, Jiang Li:
ArithFusion: An Arithmetic Deep Model for Temporal Remote Sensing Image Fusion. Remote. Sens. 14(23): 6160 (2022) - [j36]Qurratulain Safder, Fangrong Zhou, Zezhong Zheng, Jun Xia, Yi Ma, Bo Wu, Mingcang Zhu, Yong He, Jiang Li:
BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c93]Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu, Chonggang Wang:
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks. AAAI 2022: 10309-10318 - [c92]Wael Khallouli, Raphael Pamie-George, Samuel F. Kovacic, Andres Sousa-Poza, Mustafa Canan, Jiang Li:
Leveraging Transfer Learning and GAN Models for OCR from Engineering Documents. AIIoT 2022: 15-21 - [c91]Mohammad Shahab Uddin, Raphael Pamie-George, Daron Wilkins, Andres Sousa-Poza, Mustafa Canan, Samuel F. Kovacic, Jiang Li:
Ship Deck Segmentation In Engineering Document Using Generative Adversarial Networks. AIIoT 2022: 207-212 - [c90]Haider Ali, Mohannad Al Ameedi, Ananthram Swami, Rui Ning, Jiang Li, Hongyi Wu, Jin-Hee Cho:
ACADIA: Efficient and Robust Adversarial Attacks Against Deep Reinforcement Learning. CNS 2022: 1-9 - [c89]Liuwan Zhu, Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu:
Most and Least Retrievable Images in Visual-Language Query Systems. ECCV (37) 2022: 1-18 - [c88]Nickan Sadri, Jean Desir, Wael Khallouli, Mohammad Shahab Uddin, Samuel F. Kovacic, Andres Sousa-Poza, Mustafa Cannan, Jiang Li:
Image Enhancement for Improved OCR and Deck Segmentation in Shipbuilding Document Images. UEMCON 2022: 45-51 - [c87]Joanna He, Mohammad Shahab Uddin, Mustafa Canan, Andres Sousa-Poza, Samuel F. Kovacic, Jiang Li:
Ship Deck Segmentation Using an Attention Based Generative Adversarial Network. UEMCON 2022: 367-372 - [i2]Md Reshad Ul Hoque, Jiang Li, Jian Wu:
SciEv: Finding Scientific Evidence Papers for Scientific News. CoRR abs/2205.00126 (2022) - 2021
- [j35]Yan Lu, Krzysztof Koperski, Chiman Kwan, Jiang Li:
Deep Learning for Effective Refugee Tent Extraction Near Syria-Jordan Border. IEEE Geosci. Remote. Sens. Lett. 18(8): 1342-1346 (2021) - [j34]Mohammad Shahabuddin, Md Reshad Ul Hoque, Kazi Aminul Islam, Chiman Kwan, David Gribben, Jiang Li:
Converting Optical Videos to Infrared Videos Using Attention GAN and Its Impact on Target Detection and Classification Performance. Remote. Sens. 13(16): 3257 (2021) - [c86]Haben Yhdego, Jiang Li, Christopher Paolini, Michel A. Audette:
Wearable Sensor Gait Analysis of Fall Detection using Attention Network. BIBM 2021: 3137-3141 - [c85]Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu:
Invisible Poison: A Blackbox Clean Label Backdoor Attack to Deep Neural Networks. INFOCOM 2021: 1-10 - [c84]Yi Zhou, Jiang Li, Meng Wang, Weifang Zhu, Yuanyuan Peng, Zhongyue Chen, Lianyu Wang, Tingting Wang, Chenpu Yao, Ting Wang, Xinjian Chen:
High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction. MICCAI (6) 2021: 372-381 - 2020
- [j33]Kazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li:
Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas. Data Sci. Eng. 5(2): 111-125 (2020) - [j32]Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li, Hongyi Wu:
DeepMag+: Sniffing mobile apps in magnetic field through deep learning. Pervasive Mob. Comput. 61: 101106 (2020) - [j31]Daniel Pérez, Kazi Aminul Islam, Victoria Hill, Richard Zimmerman, Blake A. Schaeffer, Yuzhong Shen, Jiang Li:
Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models. Remote. Sens. 12(10): 1581 (2020) - [j30]Chiman Kwan, Bulent Ayhan, Bence Budavari, Yan Lu, Daniel Pérez, Jiang Li, Sergio Bernabé, Antonio Plaza:
Deep Learning for Land Cover Classification Using Only a Few Bands. Remote. Sens. 12(12): 2000 (2020) - [j29]Kazi Aminul Islam, Mohammad Shahabuddin, Chiman Kwan, Jiang Li:
Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study. Remote. Sens. 12(15): 2455 (2020) - [j28]Bulent Ayhan, Chiman Kwan, Bence Budavari, Liyun Kwan, Yan Lu, Daniel Pérez, Jiang Li, Dimitrios Skarlatos, Marinos Vlachos:
Vegetation Detection Using Deep Learning and Conventional Methods. Remote. Sens. 12(15): 2502 (2020) - [j27]Chiman Kwan, David Gribben, Bulent Ayhan, Jiang Li, Sergio Bernabé, Antonio Plaza:
An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification. Remote. Sens. 12(23): 3880 (2020) - [j26]Chiman Kwan, Leif Hagen, Bryan Chou, Daniel Pérez, Jiang Li, Yuzhong Shen, Krzysztof Koperski:
Simple and effective cloud- and shadow-detection algorithms for Landsat and Worldview images. Signal Image Video Process. 14(1): 125-133 (2020) - [c83]Jian Wu, Md Reshad Ul Hoque, Gunnar W. Reiske, Michele C. Weigle, Brenda T. Bradshaw, Holly D. Gaff, Jiang Li, Chiman Kwan:
A Comparative Study of Sequence Tagging Methods for Domain Knowledge Entity Recognition in Biomedical Papers. JCDL 2020: 397-400
2010 – 2019
- 2019
- [j25]Debrup Banerjee, Kazi Aminul Islam, Keyi Xue, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Cai Lei, Shuiwang Ji, Jiang Li:
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis. Knowl. Inf. Syst. 60(3): 1693-1724 (2019) - [c82]Kazi Aminul Islam, Victoria Hill, Blake A. Schaeffer, Richard Zimmerman, Jiang Li:
Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images. ICDM 2019: 1120-1125 - [c81]Yi Ma, Juan Ren, Huaixin Chen, Zhigang Liu, Guoqing Zhou, Jiang Li, Zezhong Zheng, Zhengqiang Guo, Fan Mou, Fangrong Zhou, Rui Kong, Ankai Hou, Mingcang Zhu, Yong He:
Classification Based on Capsule Network with Hyperspectral Image. IGARSS 2019: 2750-2753 - [c80]Ankai Hou, Guoqing Zhou, Hongsheng Zhang, Jiang Li, Jiaxi Liu, Yuxuan Tao, Shaobin Jiang, Kai Li, Zezhong Zheng, Jun Xia, Yong He, Mingcang Zhu:
Land Price Assesment Based on Deep Neural Network. IGARSS 2019: 3053-3056 - [c79]Fan Mou, Zhigang Liu, Ankai Hou, Ling Jiang, Shengli Wang, Jiang Li, Rui Kong, Kai Li, Zezhong Zheng, Jun Xia, Yong He, Mingcang Zhu, Guoqing Zhou, Hongsheng Zhang:
Urban Functional Regions Discovering Based on Deep Learning. IGARSS 2019: 9462-9465 - [c78]Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li, Liuwan Zhu, Hongyi Wu:
CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis. INFOCOM 2019: 1873-1881 - [c77]Md Reshad Ul Hoque, Dash Bradley, Chiman Kwan, Agnese Chiatti, Jiang Li, Jian Wu:
Searching for Evidence of Scientific News in Scholarly Big Data. K-CAP 2019: 251-254 - [c76]Haben Yhdego, Jiang Li, Steven Morrison, Michel A. Audette, Christopher Paolini, Mahasweta Sarkar, Hamid Okhravi:
Towards Musculoskeletal Simulation-Aware Fall Injury Mitigation: Transfer Learning with Deep CNN for Fall Detection. SpringSim 2019: 1-12 - [c75]Md Reshad Ul Hoque, Roland Burks, Chiman Kwan, Jiang Li:
Deep Learning for Remote Sensing Image Super-Resolution. UEMCON 2019: 286-292 - [c74]Roland Burks, Kazi Aminul Islam, Yan Lu, Jiang Li:
Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study. UEMCON 2019: 660-665 - [c73]Yan Lu, Jiang Li:
Generative Adversarial Network for Improving Deep Learning Based Malware Classification. WSC 2019: 584-593 - 2018
- [j24]Chiman Kwan, Xiaolin Zhu, Feng Gao, Bryan Chou, Daniel Pérez Ibañez, Jiang Li, Yuzhong Shen, Krzysztof Koperski, Giovanni Marchisio:
Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images. Sensors 18(4): 1051 (2018) - [c72]Kazi Aminul Islam, Daniel Pérez, Jiang Li:
A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge. IEEE BigData 2018: 5252-5257 - [c71]Fan Mou, Jiali Yang, Zezhong Zheng, Pingchuan Zhong, Mingcang Zhu, Yong He, Ling Jiang, Guoqing Zhou, Jiang Li:
Risk Assessment of Geological Hazards of Wenchuan County Based on Ahp and Fce. IGARSS 2018: 2929-2932 - [c70]Ankai Hou, Pingchuan Zhang, Zezhang Zheng, Mingcang Zhu, Yong He, Qiuying Li, Biao Zhang, Fang Huang, Guaqing Zhau, Jiang Li:
Land Price Prediction Based on Random Forest. IGARSS 2018: 2948-2951 - [c69]Xiangyu Tan, Shaobin Jiang, Zezhong Zheng, Pingchuan Zhang, Mingcang Zhu, Yong He, Zhenlu Yu, Na Wang, Ling Jiang, Guoqing Zhou, Hongsheng Zhang, Jiang Li:
A Manifold Learning Approach of Land Cover Classification for Optical and SAR Fusing Data. IGARSS 2018: 3567-3570 - [c68]Pingchuan Zhang, Na Wang, Zezhong Zheng, Jun Xia, Liping Zhang, Xiang Zhang, Mingcang Zhu, Yang He, Ling Jiang, Guoqing Zhou, Jiang Li:
Monitoring of Drought Change in the Middle Reach of Yangtze River. IGARSS 2018: 4935-4938 - [c67]Zhengqiang Guo, Zezhong Zheng, Jiaxi Liu, Shengli Wang, Pingchuan Zhong, Mingcang Zhu, Yong He, Ling Jiang, Guoqing Zhou, Hongsheng Zhang, Jiang Li:
Urban Functional Regions Using Social Media Check-Ins. IGARSS 2018: 5061-5064 - [c66]Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li, Hongyi Wu:
DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks. PerCom 2018: 1-10 - [c65]Kazi Aminul Islam, Daniel Pérez, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li:
Seagrass Detection in Coastal Water Through Deep Capsule Networks. PRCV (2) 2018: 320-331 - [c64]Daniel Pérez, Kazi Aminul Islam, Victoria Hill, Richard Zimmerman, Blake Schaeffer, Jiang Li:
DeepCoast: Quantifying Seagrass Distribution in Coastal Water Through Deep Capsule Networks. PRCV (2) 2018: 404-416 - [c63]Chiman Kwan, Bryan Chou, Adam Echavarren, Bence Budavari, Jiang Li, Trac D. Tran:
Compressive Vehicle Tracking Using Deep Learning. UEMCON 2018: 51-56 - [c62]Daniel Pérez, Yan Lu, Chiman Kwan, Yuzhong Shen, Krzysztof Koperski, Jiang Li:
Combining Satellite Images with Feature Indices for Improved Change Detection. UEMCON 2018: 438-444 - [c61]Md Reshad Ul Hoque, Kazi Aminul Islam, Daniel Pérez, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li:
Seagrass Propeller Scar Detection using Deep Convolutional Neural Network. UEMCON 2018: 659-665 - [c60]Yan Lu, Daniel Pérez, Minh Dao, Chiman Kwan, Jiang Li:
Deep Learning with Synthetic Hyperspectral Images for Improved Soil Detection in Multispectral Imagery. UEMCON 2018: 666-672 - 2017
- [j23]Feng Li, Guangfan Zhang, Wei Wang, Roger Xu, Tom Schnell, Jonathan Wen, Frederic D. McKenzie, Jiang Li:
Deep Models for Engagement Assessment With Scarce Label Information. IEEE Trans. Hum. Mach. Syst. 47(4): 598-605 (2017) - [c59]Debrup Banerjee, Kazi Aminul Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Shuiwang Ji, Jiang Li:
A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis. ICDM 2017: 11-20 - [c58]Daniel Pérez Ibañez, Jiang Li, Yuzhong Shen, Joan Dayanghirang, Shengli Wang, Zezhong Zheng:
Deep Learning for Pulmonary Nodule CT Image Retrieval - An Online Assistance System for Novice Radiologists. ICDM Workshops 2017: 1112-1121 - [c57]Zezhong Zheng, Yameng Zhang, Liutong Li, Mingcang Zhu, Yong He, Minqi Li, Zhengqiang Guo, Yue He, Zhenlu Yu, Xiaocheng Yang, Xin Liu, Jianhua Luo, Taoli Yang, Yalan Liu, Jiang Li:
Classification based on deep convolutional neural networks with hyperspectral image. IGARSS 2017: 1828-1831 - [c56]Md Moin Uddin Chowdhury, Frederick Hammond, Glenn Konowicz, Chunsheng Xin, Hongyi Wu, Jiang Li:
A few-shot deep learning approach for improved intrusion detection. UEMCON 2017: 456-462 - [c55]Daniel Pérez Ibañez, Debrup Banerjee, Chiman Kwan, Minh Dao, Yuzhong Shen, Kris Koperski, Giovanni Marchisio, Jiang Li:
Deep learning for effective detection of excavated soil related to illegal tunnel activities. UEMCON 2017: 626-632 - 2016
- [c54]Shengli Wang, Zezhong Zheng, Chengjun Pu, Mingcang Zhu, Yong He, Zhiqing Huang, Yicong Feng, Mengge Tian, Jiang Li:
Progressive Network Transmission Method Research of Vector Data. GRMSE (2) 2016: 27-36 - [c53]Zezhong Zheng, Chengjun Pu, Mingcang Zhu, Zhiqin Huang, Yong He, Yicong Feng, Yufeng Lu, Zhenlu Yu, Shengli Wang, Shijie Yu, Jiang Li:
The tradeoff of accuracy with different landmarks with manifold learning. IGARSS 2016: 2738-2741 - [c52]Zezhong Zheng, Pengxu Chen, Mingcang Zhu, Zhiqin Huang, Yong He, Yicong Feng, Yufeng Lu, Zhenlu Yu, Shijie Yu, Shengli Wang, Jiang Li:
The manifold learning for dimensionality reduction with hyperspectral image. IGARSS 2016: 2757-2760 - [c51]Shijie Yu, Zezhong Zheng, Wunian Yang, Mingcang Zhu, Yong He, Zhenlu Yu, Shengli Wang, Fu Wang, Jiang Li:
The monitoring of land use and land cover change of Sichuan province and Chengdu district, China. IGARSS 2016: 4489-4492 - [c50]Zezhong Zheng, Pengxu Chen, Mingcang Zhu, Zhiqin Huang, Yufeng Lu, Yicong Feng, Jiang Li:
A novel manifold learning for dimensionality reduction and classification with hyperspectral image. WHISPERS 2016: 1-5 - [i1]Feng Li, Guangfan Zhang, Wei Wang, Roger Xu, Tom Schnell, Jonathan Wen, Frederic D. McKenzie, Jiang Li:
Deep Models for Engagement Assessment With Scarce Label Information. CoRR abs/1610.06815 (2016) - 2015
- [j22]Ender Oguslu, Guoqing Zhou, Zezhong Zheng, Khan Iftekharuddin, Jiang Li:
Sparse coding based dense feature representation model for hyperspectral image classification. J. Electronic Imaging 24(6): 063009 (2015) - [j21]Amr H. Yousef, Jiang Li, Mohammad Karim:
High-Speed Image Registration Algorithm with Subpixel Accuracy. IEEE Signal Process. Lett. 22(10): 1796-1800 (2015) - [j20]Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li:
A Robust Deep Model for Improved Classification of AD/MCI Patients. IEEE J. Biomed. Health Informatics 19(5): 1610-1616 (2015) - [c49]Lanying Yuan, Mingcang Zhu, Zezhong Zheng, Jun Xia, Xiang Zhang, Yong He, Guoqing Zhou, Xiaowen Li, Guiyun Zhou, Yufeng Lu, Shi Qiu, Hongsheng Zhang, Jiang Li:
Drought monitoring and warning in the middle reach of Yangtze River with MODIS. IGARSS 2015: 330-333 - [c48]Yufeng Lu, Yong He, Jun Xia, Zezhong Zheng, Huan Wei, Yalan Liu, Xiang Zhang, Guoqing Zhou, Zhanmang Liao, Guiyun Zhou, Hongsheng Zhang, Jiang Li:
The application of ant colony algorithm in emergency rescue with GIS. IGARSS 2015: 4546-4549 - [c47]Deqi Zhou, Loc Tran, Jihong Wang, Jiang Li:
A comparative study of two prediction models for brain tumor progression. Image Processing: Algorithms and Systems 2015: 93990W - [c46]Loc Tran, Zezhong Zheng, Guoqing Zhou, Jiang Li:
Adaptive graph construction for Isomap manifold learning. Image Processing: Algorithms and Systems 2015: 939904 - 2014
- [j19]Emin Kugu, Jiang Li, Frederic D. McKenzie, Ozgur Koray Sahingoz:
Fuzzy logic approach and sensitivity analysis for agent-based crowd injury modeling. Simul. 90(3): 320-336 (2014) - [c45]Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li:
Robust Deep Learning for Improved Classification of AD/MCI Patients. MLMI 2014: 240-247 - [c44]Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji:
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) 2014: 305-312 - 2013
- [j18]Yu-Fei Shen, Dean J. Krusienski, Jiang Li, Zia-ur Rahman:
A Hierarchical Horizon Detection Algorithm. IEEE Geosci. Remote. Sens. Lett. 10(1): 111-114 (2013) - [j17]Loc Tran, Debrup Banerjee, Jihong Wang, Ashok J. Kumar, Frederic D. McKenzie, Yaohang Li, Jiang Li:
High-dimensional MRI data analysis using a large-scale manifold learning approach. Mach. Vis. Appl. 24(5): 995-1014 (2013) - [j16]Nahom Kidane, Salim Chemlal, Jiang Li, Frederic D. McKenzie, Tom Hubbard:
Orientation invariant ECG-based stethoscope tracking for heart auscultation training on augmented standardized patients. Simul. 89(12): 1450-1458 (2013) - [j15]Yu-Fei Shen, Zia-ur Rahman, Dean J. Krusienski, Jiang Li:
A Vision-Based Automatic Safe Landing-Site Detection System. IEEE Trans. Aerosp. Electron. Syst. 49(1): 294-311 (2013) - [c43]Loc Tran, Frederic D. McKenzie, Jihong Wang, Jiang Li:
Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction. MLMI 2013: 219-226 - [c42]Roger Xu, Gang Mei, Guangfan Zhang, Pan Gao, Aaron Pepe, Jiang Li:
TPM: Cloud-based Tele-PTSD Monitor Using Multi-Dimensional Information. MMVR 2013: 471-477 - 2012
- [j14]Hoang-Anh T. Nguyen, John Musson, Feng Li, Wei Wang, Guangfan Zhang, Roger Xu, Carl Richey, Tom Schnell, Frederic D. McKenzie, Jiang Li:
EOG artifact removal using a wavelet neural network. Neurocomputing 97: 374-389 (2012) - [j13]Shao-Hui Chuang, Jiang Li, Xiaoyan Sun, Ayyappa Vadlamudi, Bo Sun, Lisa H. Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Frederic D. McKenzie:
Prostate cancer region prediction by fusing results from MALDI spectra-processing and texture analysis. Simul. 88(10): 1247-1259 (2012) - [c41]Debrup Banerjee, Jiang Li, Jia Di, Dale R. Thompson:
Feature selection for RFID tag identification. CHINACOM 2012: 218-221 - [c40]Rifat Aras, Yuzhong Shen, Jiang Li:
Procedural wound geometry and blood flow generation for medical training simulators. Image-Guided Procedures 2012: 831622 - [c39]Roger Xu, Gang Mei, Guangfan Zhang, Pan Gao, Timothy Judkins, Michael Cannizzaro, Jiang Li:
A Voice-Based Automated System for PTSD Screening and Monitoring. MMVR 2012: 552-558 - [c38]Ender Oguslu, Khan Iftekharuddin, Jiang Li:
Sparse coding for hyperspectral images using random dictionary and soft thresholding. Visual Information Processing 2012: 83990A - [c37]Amr H. Yousef, Jiang Li, Mohammad Karim:
Toward automatic subpixel registration of unmanned airborne vehicle images. Visual Information Processing 2012: 839902 - [c36]Amr H. Yousef, Jiang Li, Mohammad Karim:
Fast stochastic Wiener filter for superresolution image restoration with information theoretic visual quality assessment. Visual Information Processing 2012: 839906 - 2011
- [j12]Xiaoyan Sun, Frederic D. McKenzie, Sebastian Y. Bawab, Jiang Li, Yongki Yoon, Jen-K. Huang:
Automated dental implantation using image-guided robotics: registration results. Int. J. Comput. Assist. Radiol. Surg. 6(5): 627-634 (2011) - [c35]Debrup Banerjee, Loc Tran, Jiang Li, Yuzhong Shen, Frederic D. McKenzie, Jihong Wang:
Prediction of brain tumor progression using multiple histogram matched MRI scans. Computer-Aided Diagnosis 2011: 79632U - [c34]Shao-Hui Chuang, Xiaoyan Sun, Wen-Yu Chang, Gwo-Shing Chen, Adam Huang, Jiang Li, Frederic D. McKenzie:
BCC skin cancer diagnosis based on texture analysis techniques. Computer-Aided Diagnosis 2011: 79633O - [c33]Loc Tran, Debrup Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li:
A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. MLMI 2011: 265-272 - [c32]Yu-Fei Shen, Zia-ur Rahman, Dean J. Krusienski, Jiang Li:
Automatic detection of aircraft emergency landing sites. Visual Information Processing 2011: 80560H - [c31]Emin Kugu, Jiang Li, Frederic D. McKenzie, Ozgur Koray Sahingoz:
Fuzzy logic injury design for crowd modeling. SpringSim (MMS) 2011: 66-72 - 2010
- [j11]Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara:
Improving polyp detection algorithms for CT colonography: Pareto front approach. Pattern Recognit. Lett. 31(11): 1461-1469 (2010) - [c30]Jiang Li, Ayyappa Vadlamudi, Shao-Hui Chuang, Xiaoyan Sun, Bo Sun, Frederic D. McKenzie, Lisa H. Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes:
Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis. BIBE 2010: 73-78 - [c29]Ayyappa Vadlamudi, Shao-Hui Chuang, Xiaoyan Sun, Lisa H. Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Jiang Li, Frederic D. McKenzie:
Prostate cancer region prediction using MALDI mass spectra. Computer-Aided Diagnosis 2010: 762422 - [c28]Yuzhong Shen, Debrup Banerjee, Jiang Li, Adam Chandler, Yu-Fei Shen, Frederic D. McKenzie, Jihong Wang:
Prediction of brain tumor progression using a machine learning technique. Computer-Aided Diagnosis 2010: 762425 - [c27]Shao-Hui Chuang, Xiaoyan Sun, Lisa H. Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Jiang Li, Frederic D. McKenzie:
Adjacent slice prostate cancer prediction to inform MALDI imaging biomarker analysis. Computer-Aided Diagnosis 2010: 762433 - [c26]Emin Kugu, Frederic D. McKenzie, Jiang Li, Ozgur Koray Sahingoz:
Multi agent design and implementation of crowd injury model. SpringSim 2010: 11
2000 – 2009
- 2009
- [j10]Yuzhong Shen, Jiang Li, Vamsi Krishnam Raju Mantena, Srinivas Karthik Jakkula:
Seasonal Adaptation of Vegetation Color in Satellite Images for Flight Simulations. J. Intell. Learn. Syst. Appl. 1(1): 42-51 (2009) - [j9]Jianhua Yao, Jiang Li, Ronald M. Summers:
Employing topographical height map in colonic polyp measurement and false positive reduction. Pattern Recognit. 42(6): 1029-1040 (2009) - [c25]Xiaoyan Sun, Shao-Hui Chuang, Jiang Li, Frederic D. McKenzie:
Automatic diagnosis for prostate cancer using run-length matrix method. Computer-Aided Diagnosis 2009: 72603H - [c24]Ramu Pedada, Emin Kugu, Jiang Li, Zhanfeng Yue, Yuzhong Shen:
Parameter optimization for image denoising based on block matching and 3D collaborative filtering. Image Processing 2009: 725925 - 2008
- [j8]Pramod Lakshmi Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco Maldonado:
An integrated growing-pruning method for feedforward network training. Neurocomputing 71(13-15): 2831-2847 (2008) - [c23]Srinivas Karthik Jakkula, Vamsi Krishnam Raju Mantena, Ramu Pedada, Yuzhong Shen, Jiang Li:
Seasonal Adaptation of Vegetation Color in Satellite Images. IPCV 2008: 10-14 - [c22]Vamsi Krishnam Raju Mantena, Ramu Pedada, Srinivas Karthik Jakkula, Yuzhong Shen, Jiang Li:
Vegetation Identification Based on Satellite Imagery. IPCV 2008: 245-251 - [c21]Ramu Pedada, Yuzhong Shen, Jiang Li, Kenneth E. Barner:
Binary-Output Weighted Median Filter for Binary Signals. IPCV 2008: 259-263 - 2007
- [j7]Hema Chandrasekaran, Jiang Li, Walter H. Delashmit, Pramod Lakshmi Narasimha, Changhua Yu, Michael T. Manry:
Convergent design of piecewise linear neural networks. Neurocomputing 70(4-6): 1022-1039 (2007) - [c20]Jianhua Yao, Jiang Li, Ronald M. Summers:
CT Colonography Computer-Aided Polyp Detection using Topographical Height Map. ICIP (5) 2007: 21-24 - [c19]A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, R. G. Gore:
A Piecewise Linear Network Classifier. IJCNN 2007: 1750-1755 - [c18]Robert L. Van Uitert Jr., Jiang Li, Ronald M. Summers:
Computer-Aided Detection of Colonic Diverticular Disease. ISBI 2007: 1244-1247 - [c17]Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers:
Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. Computer-Aided Diagnosis 2007: 65142G - [c16]Jianhua Yao, Jiang Li, Ronald M. Summers:
Collaborative classifiers in CT colonography CAD. Computer-Aided Diagnosis 2007: 65142H - [c15]Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara:
Using Pareto fronts to evaluate polyp detection algorithms for CT colonography. Computer-Aided Diagnosis 2007: 651407 - 2006
- [j6]Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, Amy K. Hara:
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools 15(6): 893-916 (2006) - [j5]Changhua Yu, Michael T. Manry, Jiang Li, Pramod Lakshmi Narasimha:
An efficient hidden layer training method for the multilayer perceptron. Neurocomputing 70(1-3): 525-535 (2006) - [j4]Jiang Li, Michael T. Manry, Pramod Lakshmi Narasimha, Changhua Yu:
Feature Selection Using a Piecewise Linear Network. IEEE Trans. Neural Networks 17(5): 1101-1115 (2006) - [c14]Pramod Lakshmi Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, F. J. Maldonado:
Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks. FLAIRS 2006: 706-712 - [c13]Jiang Li, Marek Franaszek, Nicholas Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers:
Wavelet method for CT colonography computer-aided polyp detection. ISBI 2006: 1316-1319 - [c12]Jiang Li, Adam Huang, Jianhua Yao, Ingmar Bitter, Nicholas Petrick, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi:
Automatic colonic polyp detection using multi-objective evolutionary techniques. Image Processing 2006: 61445E - [c11]Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, Amy K. Hara:
Hybrid committee classifier for a computerized colonic polyp detection system. Image Processing 2006: 61445A - 2005
- [j3]Jiang Li, Michael T. Manry, Changhua Yu, D. Randall Wilson:
Prototype Classifier Design with Pruning. Int. J. Artif. Intell. Tools 14(1-2): 261-280 (2005) - [j2]R. G. Gore, Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei:
Iterative Design of Neural Network Classifiers Through Regression. Int. J. Artif. Intell. Tools 14(1-2): 281-302 (2005) - [j1]Changhua Yu, Michael T. Manry, Jiang Li:
Effects Of Nonsingular Preprocessing On Feedforward Network Training. Int. J. Pattern Recognit. Artif. Intell. 19(2): 217-247 (2005) - [c10]Jiang Li, Jianhua Yao, Ronald M. Summers, Amy K. Hara:
An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection. FLAIRS 2005: 381-386 - 2004
- [c9]Changhua Yu, Michael T. Manry, Jiang Li:
Invariance of MLP Training to Input Feature De-correlation. FLAIRS 2004: 682-687 - [c8]Changhua Yu, Michael T. Manry, Jiang Li:
Hidden Layer Training via Hessian Matrix Information. FLAIRS 2004: 688-694 - [c7]Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei:
Iterative Improvement of Neural Classifiers. FLAIRS 2004: 700-705 - [c6]Jiang Li, Michael T. Manry, Changhua Yu:
Prototype Based Classifier Design with Pruning. FLAIRS 2004: 706-712 - [c5]Jiang Li, Qilian Liang, Michael T. Manry:
A nonlinear filtering approach for demodulation over Rician flat fading channels. GLOBECOM 2004: 813-817 - [c4]Jiang Li, Qilian Liang, Michael T. Manry:
Demodulation for wireless ATM network using modified SOM network. ICASSP (5) 2004: 669-672 - [c3]Jiang Li, Qilian Liang, Michael T. Manry:
Co-channel interference suppression with model simplification in TDMA systems. PIMRC 2004: 1302-1306 - 2003
- [c2]Jiang Li, Qilian Liang, Michael T. Manry:
Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm. PIMRC 2003: 730-734 - [c1]Jiang Li, Qilian Liang, Michael T. Manry, Tae-Hoon Kim:
A semiblind demodulator aided by protocols for wireless ATM network. PIMRC 2003: 2093-2097
Coauthor Index
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