| A collaborative neurodynamic approach to global and combinatorial optimization H Che, J Wang Neural Networks 114, 15-27, 2019 | 129 | 2019 |
| A two-timescale duplex neurodynamic approach to mixed-integer optimization H Che, J Wang IEEE Transactions on Neural Networks and Learning Systems 32 (1), 36-48, 2020 | 113 | 2020 |
| A two-timescale duplex neurodynamic approach to biconvex optimization H Che, J Wang IEEE Transactions on Neural Networks and Learning Systems 30 (8), 2503-2514, 2018 | 88 | 2018 |
| A nonnegative matrix factorization algorithm based on a discrete-time projection neural network H Che, J Wang Neural Networks 103, 63-71, 2018 | 67 | 2018 |
| Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints C Li, H Che, MF Leung, C Liu, Z Yan Information Sciences 634, 587-607, 2023 | 64 | 2023 |
| Bicriteria sparse nonnegative matrix factorization via two-timescale duplex neurodynamic optimization H Che, J Wang, A Cichocki IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4881-4891, 2021 | 53 | 2021 |
| Low-rank tensor regularized graph fuzzy learning for multi-view data processing B Pan, C Li, H Che, MF Leung, K Yu IEEE Transactions on Consumer Electronics, 2023 | 45 | 2023 |
| A recurrent neural network for optimal real-time price in smart grid X He, T Huang, C Li, H Che, Z Dong Neurocomputing 149, 608-612, 2015 | 45 | 2015 |
| Task assignment for multivehicle systems based on collaborative neurodynamic optimization J Wang, J Wang, H Che IEEE Transactions on Neural Networks and Learning Systems 31 (4), 1145-1154, 2019 | 44 | 2019 |
| Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization MF Leung, J Wang, H Che Neural Networks 153, 399-410, 2022 | 39 | 2022 |
| Projected cross-view learning for unbalanced incomplete multi-view clustering Y Cai, H Che, B Pan, MF Leung, C Liu, S Wen Information Fusion 105, 102245, 2024 | 37 | 2024 |
| Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning B Pan, C Li, H Che Neural Networks 161, 638-658, 2023 | 36 | 2023 |
| A metaheuristic-based framework for index tracking with practical constraints MC Yuen, SC Ng, MF Leung, H Che Complex & Intelligent Systems 8 (6), 4571-4586, 2022 | 36 | 2022 |
| An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization H Che, C Li, X He, T Huang Neurocomputing 167, 569-577, 2015 | 31 | 2015 |
| Self-guided partial graph propagation for incomplete multiview clustering C Liu, R Li, S Wu, H Che, D Jiang, Z Yu, HS Wong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 30 | 2023 |
| Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications X Ju, H Che, C Li, X He, G Feng Neurocomputing 454, 54-64, 2021 | 30 | 2021 |
| Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering Y Dong, H Che, MF Leung, C Liu, Z Yan Signal Processing 217, 109341, 2024 | 29 | 2024 |
| Adaptive graph nonnegative matrix factorization with the self-paced regularization X Yang, H Che, MF Leung, C Liu Applied Intelligence 53 (12), 15818-15835, 2023 | 29 | 2023 |
| Graph non-negative matrix factorization with alternative smoothed regularizations K Chen, H Che, X Li, MF Leung Neural Computing and Applications 35 (14), 9995-10009, 2023 | 29 | 2023 |
| A proximal neurodynamic network with fixed-time convergence for equilibrium problems and its applications X Ju, C Li, H Che, X He, G Feng IEEE Transactions on Neural Networks and Learning Systems 34 (10), 7500-7514, 2022 | 29 | 2022 |
Jun WangCity University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证