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2020 – today
- 2025
[j26]Xuanhao Yang, Hangjun Che, Man-Fai Leung:
Tensor-based unsupervised feature selection for error-robust handling of unbalanced incomplete multi-view data. Inf. Fusion 114: 102693 (2025)- 2024
- [j25]Govindan Rajesh, Nandagopal Malarvizhi, Man-Fai Leung
:
A Hybrid Segmentation Algorithm for Rheumatoid Arthritis Diagnosis Using X-ray Images. Big Data Cogn. Comput. 8(9): 104 (2024) - [j24]Yiran Cai, Hangjun Che, Baicheng Pan, Man-Fai Leung, Cheng Liu, Shiping Wen:
Projected cross-view learning for unbalanced incomplete multi-view clustering. Inf. Fusion 105: 102245 (2024) - [j23]M. R. Ezilarasan, Man-Fai Leung:
An Efficient EEG Signal Analysis for Emotion Recognition Using FPGA. Inf. 15(6): 301 (2024) - [j22]Wei Guo, Hangjun Che, Man-Fai Leung, Zheng Yan:
Adaptive multi-view subspace learning based on distributed optimization. Internet Things 26: 101203 (2024) - [j21]Xuanhao Yang, Hangjun Che, Man-Fai Leung, Shiping Wen:
Self-paced regularized adaptive multi-view unsupervised feature selection. Neural Networks 175: 106295 (2024) - [j20]Yuzhu Dong, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan:
Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering. Signal Process. 217: 109341 (2024) - [j19]Baicheng Pan, Chuandong Li, Hangjun Che, Man-Fai Leung, Keping Yu:
Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing. IEEE Trans. Consumer Electron. 70(1): 2925-2938 (2024) - [j18]Wei Guo, Hangjun Che, Man-Fai Leung:
Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Consumer Electron. 70(2): 4767-4784 (2024) - [j17]Xinyu Pu, Hangjun Che, Baicheng Pan, Man-Fai Leung, Shiping Wen:
Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise. IEEE Trans. Comput. Soc. Syst. 11(3): 3268-3285 (2024) - [j16]Hangjun Che, Baicheng Pan, Man-Fai Leung, Yuting Cao, Zheng Yan:
Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks. IEEE Trans. Comput. Soc. Syst. 11(4): 4888-4898 (2024) - [c11]Faidat Adekemi Akorede, Man-Fai Leung, Hangjun Che:
Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks. ISNN 2024: 298-307 - [c10]M. R. Ezilarasan, D. Preethi, Man-Fai Leung, Hangjun Che, Xiangguang Dai:
Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures. ISNN 2024: 372-381 - 2023
- [j15]Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu:
Adaptive graph nonnegative matrix factorization with the self-paced regularization. Appl. Intell. 53(12): 15818-15835 (2023) - [j14]Chenglu Li, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan:
Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. Inf. Sci. 634: 587-607 (2023) - [j13]M. R. Ezilarasan, J. Britto Pari, Man-Fai Leung:
High Performance FPGA Implementation of Single MAC Adaptive Filter for Independent Component Analysis. J. Circuits Syst. Comput. 32(17): 2350294:1-2350294:16 (2023) - [j12]Zhenkun Wang, Man-Fai Leung, Hangjun Che, Carlos A. Coello Coello:
Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms. Memetic Comput. 15(1): 1-2 (2023) - [j11]Keyi Chen, Hangjun Che, Xinqi Li, Man-Fai Leung:
Graph non-negative matrix factorization with alternative smoothed L0 regularizations. Neural Comput. Appl. 35(14): 9995-10009 (2023) - [j10]Abayomi Bello, Sin Chun Ng, Man-Fai Leung:
A BERT Framework to Sentiment Analysis of Tweets. Sensors 23(1): 506 (2023) - [c9]Wei Guo, Hangjun Che, Man-Fai Leung, Nankun Mu, Xiangguang Dai, Yuming Feng:
Latent multi-view subspace clustering based on Laplacian regularized representation. ICACI 2023: 1-7 - 2022
- [j9]Bhuvaneshwari Chakravarthi, Sin Chun Ng, M. R. Ezilarasan, Man-Fai Leung:
EEG-based emotion recognition using hybrid CNN and LSTM classification. Frontiers Comput. Neurosci. 16 (2022) - [j8]Man-Fai Leung, Jun Wang:
Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization. Neural Networks 145: 68-79 (2022) - [j7]Man-Fai Leung, Jun Wang, Hangjun Che:
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. Neural Networks 153: 399-410 (2022) - [j6]Man-Fai Leung, Jun Wang, Duan Li:
Decentralized Robust Portfolio Optimization Based on Cooperative-Competitive Multiagent Systems. IEEE Trans. Cybern. 52(12): 12785-12794 (2022) - 2021
- [j5]Man-Chung Yuen, Sin Chun Ng, Man-Fai Leung:
A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem. Cybern. Syst. 52(1): 73-104 (2021) - [j4]Chengchen Dai, Hangjun Che, Man-Fai Leung:
A Neurodynamic Optimization Approach for L1 Minimization with Application to Compressed Image Reconstruction. Int. J. Artif. Intell. Tools 30(1): 2140007:1-2140007:15 (2021) - [j3]Man-Fai Leung, Jun Wang:
Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2825-2836 (2021) - [c8]Andrew Kwok-Fai Lui, Yin-Hei Chan, Man-Fai Leung:
Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings. IEEE BigData 2021: 1709-1717 - 2020
- [j2]Man-Fai Leung, Carlos Artemio Coello Coello, Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui:
A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization. IEEE Access 8: 189527-189545 (2020) - [c7]Man-Fai Leung, Sin Chun Ng:
A hybrid algorithm based on MOEA/D and local search for multiobjective optimization. CEC 2020: 1-8
2010 – 2019
- 2019
- [c6]Man-Fai Leung, Jun Wang:
A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection. ISNN (1) 2019: 318-327 - 2018
- [j1]Man-Fai Leung, Jun Wang:
A Collaborative Neurodynamic Approach to Multiobjective Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5738-5748 (2018) - [c5]Man-Fai Leung, Jun Wang:
A Neurodynamic Approach to Multiobjective Linear Programming. ISNN 2018: 11-18 - 2017
- [c4]Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung:
Improved activation schema on Automatic Clustering using Differential Evolution algorithm. CEC 2017: 1749-1756 - 2016
- [c3]Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui:
Improved adaptive global replacement scheme for MOEA/D-AGR. CEC 2016: 2153-2160 - 2015
- [c2]Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui:
A new algorithm based on PSO for Multi-Objective Optimization. CEC 2015: 3156-3162 - 2014
- [c1]Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui:
A new strategy for finding good local guides in MOPSO. IEEE Congress on Evolutionary Computation 2014: 1990-1997
Coauthor Index
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