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2020 – today
- 2025
[j37]Wuzhida Bao
, Yuting Cao, Yin Yang, Hangjun Che, Junjian Huang, Shiping Wen:
Data-driven stock forecasting models based on neural networks: A review. Inf. Fusion 113: 102616 (2025)- [j36]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
- [j35]Baicheng Pan, Chuandong Li, Hangjun Che:
Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding. Eng. Appl. Artif. Intell. 133: 108274 (2024) - [j34]Yadi Wang, Mengyao Huang, Liming Zhou, Hangjun Che, Bingbing Jiang:
Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso. Expert Syst. Appl. 255: 124502 (2024) - [j33]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) - [j32]Wei Guo, Hangjun Che, Man-Fai Leung, Zheng Yan:
Adaptive multi-view subspace learning based on distributed optimization. Internet Things 26: 101203 (2024) - [j31]Xuanhao Yang, Hangjun Che, Man-Fai Leung, Shiping Wen:
Self-paced regularized adaptive multi-view unsupervised feature selection. Neural Networks 175: 106295 (2024) - [j30]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) - [j29]Fenghua Zhang, Hangjun Che:
Separable Consistency and Diversity Feature Learning for Multi-View Clustering. IEEE Signal Process. Lett. 31: 1595-1599 (2024) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10803-10816 (2024) - [c8]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 - [c7]Ruiqi Zhou, Xingxing Ju, Hangjun Che, Qian Zhang:
Circuit Implementation of Fixed-Time Zeroing Neural Network for Time-Varying Equality Constrained Quadratic Programming. ISNN 2024: 361-371 - [c6]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 - [c5]Hangjun Che, Xinyu Pu, Deqiang Ouyang, Beibei Li:
Enhanced Tensorial Self-representation Subspace Learning for Incomplete Multi-view Clustering. ACM Multimedia 2024: 719-728 - 2023
- [j23]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) - [j22]JianJun Li, Hangjun Che, Xiaoyang Liu:
Circuit Design and Analysis of Smoothed l0 Norm Approximation for Sparse Signal Reconstruction. Circuits Syst. Signal Process. 42(4): 2321-2345 (2023) - [j21]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) - [j20]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) - [j19]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) - [j18]Baicheng Pan, Chuandong Li, Hangjun Che:
Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning. Neural Networks 161: 638-658 (2023) - [j17]Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che:
Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations. Neural Networks 165: 971-981 (2023) - [j16]Hangjun Che, Jun Wang, Andrzej Cichocki:
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4881-4891 (2023) - [j15]Xingxing Ju, Chuandong Li, Hangjun Che, Xing He, Gang Feng:
A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7500-7514 (2023) - [c4]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 - [c3]Yadi Wang, Xiaoding Guo, Yibo Zhang, Yiyuan Ren, Wendi Huang, Zunyan Liu, Yuming Feng, Xiangguang Dai, Wei Zhang, Hangjun Che:
An Adaptive Framework of Multimodal Emotion Recognition Based on Collaborative Discriminative Learning. ICACI 2023: 1-8 - 2022
- [j14]Man-Fai Leung, Jun Wang, Hangjun Che:
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. Neural Networks 153: 399-410 (2022) - [j13]Hangjun Che, Jun Wang, Andrzej Cichocki:
Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks 154: 255-269 (2022) - [j12]Xingxing Ju, Hangjun Che, Chuandong Li, Xing He:
Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. Neural Process. Lett. 54(1): 207-226 (2022) - 2021
- [j11]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) - [j10]Xingxing Ju, Hangjun Che, Chuandong Li, Xing He, Gang Feng:
Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications. Neurocomputing 454: 54-64 (2021) - [j9]Yadi Wang, Jun Wang, Hangjun Che:
Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations. Neural Networks 142: 180-191 (2021) - [j8]Hangjun Che, Jun Wang:
A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 36-48 (2021) - 2020
- [j7]Jiasen Wang, Jun Wang, Hangjun Che:
Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1145-1154 (2020)
2010 – 2019
- 2019
- [j6]Hangjun Che, Jun Wang:
A collaborative neurodynamic approach to global and combinatorial optimization. Neural Networks 114: 15-27 (2019) - [j5]Hangjun Che, Jun Wang:
A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2503-2514 (2019) - [c2]Hangjun Che, Jun Wang, Wei Zhang:
A Collaborative Neurodynamic Approach to Sparse Coding. ISNN (1) 2019: 454-462 - 2018
- [j4]Hangjun Che, Jun Wang:
A nonnegative matrix factorization algorithm based on a discrete-time projection neural network. Neural Networks 103: 63-71 (2018) - [c1]Hangjun Che, Jun Wang:
A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. ICONIP (2) 2018: 453-462 - 2016
- [j3]Hangjun Che, Chuandong Li, Xing He, Tingwen Huang:
A recurrent neural network for adaptive beamforming and array correction. Neural Networks 80: 110-117 (2016) - 2015
- [j2]Xing He, Tingwen Huang, Chuandong Li, Hangjun Che, Zhaoyang Dong:
A recurrent neural network for optimal real-time price in smart grid. Neurocomputing 149: 608-612 (2015) - [j1]Hangjun Che, Chuandong Li, Xing He, Tingwen Huang:
An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization. Neurocomputing 167: 569-577 (2015)
Coauthor Index
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