| The impact of COVID-19 on firm innovation: Evidence from Chinese listed companies X Jin, M Zhang, G Sun, L Cui Finance Research Letters 45, 102133, 2022 | 81 | 2022 |
| 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 | 79 | 2020 |
| BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation M Li, L Zhang, L Cui, L Bai, Z Li, X Wu Pattern Recognition 144, 109874, 2023 | 78 | 2023 |
| Fused lasso for feature selection using structural information L Cui, L Bai, Y Wang, SY Philip, ER Hancock Pattern Recognition 119, 108058, 2021 | 51 | 2021 |
| 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 | 47 | 2020 |
| 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 | 44 | 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 | 42 | 2021 |
| Haqjsk: Hierarchical-aligned quantum jensen-shannon kernels for graph classification L Bai, L Cui, Y Wang, M Li, J Li, SY Philip, ER Hancock IEEE Transactions on Knowledge and Data Engineering, 2024 | 41 | 2024 |
| 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 | 37 | 2017 |
| 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 | 29 | 2019 |
| Joint optimization of production planning and supplier selection incorporating customer flexibility: an improved genetic approach LX Cui Journal of Intelligent Manufacturing 27, 1017-1035, 2016 | 26 | 2016 |
| Learning aligned vertex convolutional networks for graph classification L Cui, L Bai, X Bai, Y Wang, ER Hancock IEEE Transactions on Neural Networks and Learning Systems, 2021 | 23 | 2021 |
| Competitive multi-agent deep reinforcement learning with counterfactual thinking Y Wang, Y Wan, C Zhang, L Bai, L Cui, P Yu 2019 IEEE International Conference on Data Mining (ICDM), 1366-1371, 2019 | 21 | 2019 |
| Identifying the most informative features using a structurally interacting elastic net L Cui, L Bai, Z Zhang, Y Wang, ER Hancock Neurocomputing 336, 13-26, 2019 | 21 | 2019 |
| Learning aligned-spatial graph convolutional networks for graph classification L Bai, Y Jiao, L Cui, ER Hancock Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 20 | 2020 |
| P2P lending analysis using the most relevant graph-based features L Cui, L Bai, Y Wang, X Bai, Z Zhang, ER Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016 | 20 | 2016 |
| Semi-supervised multi-layer convolution kernel learning in credit evaluation L Xu, L Cui, T Weise, X Li, Z Wu, F Nie, E Chen, Y Tang Pattern Recognition 120, 108125, 2021 | 16 | 2021 |
| Adaptive feature selection based on the most informative graph-based features L Cui, Y Jiao, L Bai, L Rossi, ER Hancock Graph-Based Representations in Pattern Recognition: 11th IAPR-TC-15 …, 2017 | 16 | 2017 |
| Deep depth-based representations of graphs through deep learning networks L Bai, L Cui, X Bai, ER Hancock Neurocomputing 336, 3-12, 2019 | 14 | 2019 |
| Optimal supplier selection and order allocation for multi-product manufacturing featuring customer flexibility LX Cui, KL Mak, ST Newman International Journal of Computer Integrated Manufacturing 28 (7), 729-744, 2015 | 12 | 2015 |
Lu BaiUniversity of York, York, UKDirección de correo verificada de cufe.edu.cn