Jiang Li
Cited by
Cited by
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014, 305-312, 2014
A Robust Deep Model for Improved Classification of AD/MCI Patients
F Li, L Tran, KH Thung, S Ji, D Shen, J Li
IEEE Journal of Biomedical and Health Informatics, 19 (5), 1610-1616, 2015
Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG
O Bai, P Lin, S Vorbach, J Li, S Furlani, M Hallett
Clinical neurophysiology 118 (12), 2637-2655, 2007
EOG artifact removal using a wavelet neural network
HAT Nguyen, J Musson, F Li, W Wang, G Zhang, R Xu, C Richey, ...
Neurocomputing, 2012
A Few-shot Deep Learning Approach for Improved Intrusion Detection
MMU Chowdhury, F Hammond, G Konowicz, J Li, C Xin, H Wu
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis
D Banerjee, K Islam, K Xue, J Li
Knowledge and Information Systems 1 (1), 1-32, 2019
Feature selection using a piecewise linear network
J Li, MT Manry, PL Narasimha, C Yu
Neural Networks, IEEE Transactions on 17 (5), 1101-1115, 2006
An integrated growing-pruning method for feedforward network training
PL Narasimha, WH Delashmit, MT Manry, J Li, F Maldonado
Neurocomputing 71 (13-15), 2831-2847, 2008
Achieving 100x Acceleration for N-1 Contingency Screening With Uncertain Scenarios Using Deep Convolutional Neural Network
Y Du, F Li, J Li, T Zheng
IEEE Transactions on Power Systems 34 (4), 3303-3305, 2019
Automated dental implantation using image-guided robotics: registration results
X Sun, FD McKenzie, S Bawab, J Li, Y Yoon, JK Huang
International journal of computer assisted radiology and surgery, 1-8, 2011
A vision-based automatic safe landing-site detection system
YF Shen, ZU Rahman, D Krusienski, J Li
IEEE Transactions on Aerospace and Electronic Systems 49 (1), 294-311, 2013
Vegetation Detection Using Deep Learning and Conventional Methods
B Ayhan, C Kwan, B Budavari, L Kwan, Y Lu, D Perez, J Li, D Skarlatos, ...
Remote Sensing 12 (15), 2502, 2020
Robust Deep Learning for Improved Classification of AD/MCI Patients
F Li, L Tran, KH Thung, S Ji, D Shen, J Li
Machine Learning in Medical Imaging, 240-247, 2014
An efficient hidden layer training method for the multilayer perceptron
C Yu, MT Manry, J Li, P Lakshmi Narasimha
Neurocomputing 70 (1-3), 525-535, 2006
Deep Learning for Land Cover Classification Using Only a Few Bands
C Kwan, B Ayhan, B Budavari, Y Lu, D Perez, J Li, S Bernabe, A Plaza
Remote Sensing 12 (12), 2000, 2020
A manifold learning approach to urban land cover classification with optical and radar data
H Zhang, J Li, T Wang, H Lin, Z Zheng, Y Li, Y Lu
Landscape and Urban Planning 172, 11-24, 2018
Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images
C Kwan, X Zhu, F Gao, B Chou, D Perez, J Li, Y Shen, K Koperski, ...
Sensors 18 (4), 1051, 2018
An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification
C Kwan, D Gribben, B Ayhan, J Li, S Bernabe, A Plaza
Remote Sensing 12 (23), 3880, 2020
CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis
R Ning, C Wang, CS Xin, J Li, L Zhu, H Wu
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1873-1881, 2019
DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks
R Ning, C Wang, CS Xin, J Li, H Wu
IEEE Conference on Pervasive Computing and Communication (PerCom), Mar 19-23 …, 2018
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