Lu Bai
Lu Bai
University of York, York, UK
Geverifieerd e-mailadres voor cufe.edu.cn - Homepage
Geciteerd door
Geciteerd door
Graph kernels from the jensen-shannon divergence
L Bai, ER Hancock
Journal of mathematical imaging and vision 47 (1), 60-69, 2013
A quantum Jensen–Shannon graph kernel for unattributed graphs
L Bai, L Rossi, A Torsello, ER Hancock
Pattern Recognition 48 (2), 344-355, 2015
System usability scale benchmarking for digital health apps: meta-analysis
M Hyzy, R Bond, M Mulvenna, L Bai, A Dix, S Leigh, S Hunt
JMIR mHealth and uHealth 10 (8), e37290, 2022
Adaptive hash retrieval with kernel based similarity
X Bai, C Yan, H Yang, L Bai, J Zhou, ER Hancock
Pattern Recognition 75, 136-148, 2018
Joint hypergraph learning and sparse regression for feature selection
Z Zhang, L Bai, Y Liang, E Hancock
Pattern Recognition 63, 291-309, 2017
Nonlocal similarity based nonnegative tucker decomposition for hyperspectral image denoising
X Bai, F Xu, L Zhou, Y Xing, L Bai, J Zhou
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
Learning backtrackless aligned-spatial graph convolutional networks for graph classification
L Bai, L Cui, Y Jiao, L Rossi, ER Hancock
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 783-798, 2020
Quantum-based subgraph convolutional neural networks
Z Zhang, D Chen, J Wang, L Bai, ER Hancock
Pattern Recognition 88, 38-49, 2019
An aligned subtree kernel for weighted graphs
L Bai, L Rossi, Z Zhang, E Hancock
International Conference on Machine Learning, 30-39, 2015
Depth-based complexity traces of graphs
L Bai, ER Hancock
Pattern Recognition 47 (3), 1172-1186, 2014
Attributed Graph Kernels Using the Jensen-Tsallis q-Differences
L Bai, L Rossi, H Bunke, ER Hancock
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
Fast depth-based subgraph kernels for unattributed graphs
L Bai, ER Hancock
Pattern Recognition 50, 233-245, 2016
Quantum kernels for unattributed graphs using discrete-time quantum walks
L Bai, L Rossi, L Cui, Z Zhang, P Ren, X Bai, E Hancock
Pattern Recognition Letters 87, 96-103, 2017
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection
L Cui, L Bai, Y Wang, X Jin, ER Hancock
Pattern recognition 114, 107835, 2021
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network
L Xu, X Wang, L Bai, J Xiao, Q Liu, E Chen, X Jiang, B Luo
Pattern Recognition 106, 107373, 2020
Entropic dynamic time warping kernels for co-evolving financial time series analysis
L Bai, L Cui, Z Zhang, L Xu, Y Wang, ER Hancock
IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1808-1822, 2020
Depth-based subgraph convolutional auto-encoder for network representation learning
Z Zhang, D Chen, Z Wang, H Li, L Bai, ER Hancock
Pattern Recognition 90, 363-376, 2019
Fused lasso for feature selection using structural information
L Cui, L Bai, Y Wang, SY Philip, ER Hancock
Pattern Recognition 119, 108058, 2021
Learning graph convolutional networks based on quantum vertex information propagation
L Bai, Y Jiao, L Cui, L Rossi, Y Wang, SY Philip, ER Hancock
IEEE Transactions on Knowledge and Data Engineering 35 (2), 1747-1760, 2021
A quantum-inspired similarity measure for the analysis of complete weighted graphs
L Bai, L Rossi, L Cui, J Cheng, ER Hancock
IEEE transactions on cybernetics 50 (3), 1264-1277, 2019
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