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Jiang Li 0001
Person information
- affiliation: Old Dominion University, Norfolk, VA, USA
Other persons with the same name
- Jiang Li — disambiguation page
- Jiang Li 0002
— 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) - [c96]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 - 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2007: 65142G - [c16]Jianhua Yao
, Jiang Li, Ronald M. Summers:
Collaborative classifiers in CT colonography CAD. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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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