Hangjun Che

According to our database, Hangjun Che authored at least 45 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Tensor-based unsupervised feature selection for error-robust handling of unbalanced incomplete multi-view data.

Xuanhao Yang, Hangjun Che, Man-Fai Leung

Inf. Fusion, 2025

Data-driven stock forecasting models based on neural networks: A review.

Wuzhida Bao, Yuting Cao, Yin Yang, Hangjun Che, Junjian Huang, Shiping Wen

Inf. Fusion, 2025

2024

Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering.

Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks.

Hangjun Che, Baicheng Pan, Man-Fai Leung, Yuting Cao, Zheng Yan

IEEE Trans. Comput. Soc. Syst., August, 2024

Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise.

Xinyu Pu, Hangjun Che, Baicheng Pan, Man-Fai Leung, Shiping Wen

IEEE Trans. Comput. Soc. Syst., June, 2024

Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering.

Wei Guo, Hangjun Che, Man-Fai Leung

IEEE Trans. Consumer Electron., May, 2024

Projected cross-view learning for unbalanced incomplete multi-view clustering.

Yiran Cai, Hangjun Che, Baicheng Pan, Man-Fai Leung, Cheng Liu, Shiping Wen

Inf. Fusion, May, 2024

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering.

Yuzhu Dong, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan

Signal Process., April, 2024

Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing.

Baicheng Pan, Chuandong Li, Hangjun Che, Man-Fai Leung, Keping Yu

IEEE Trans. Consumer Electron., February, 2024

Separable Consistency and Diversity Feature Learning for Multi-View Clustering.

Fenghua Zhang, Hangjun Che

IEEE Signal Process. Lett., 2024

Self-paced regularized adaptive multi-view unsupervised feature selection.

Xuanhao Yang, Hangjun Che, Man-Fai Leung, Shiping Wen

Neural Networks, 2024

Adaptive multi-view subspace learning based on distributed optimization.

Wei Guo, Hangjun Che, Man-Fai Leung, Zheng Yan

Internet Things, 2024

Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso.

Yadi Wang, Mengyao Huang, Liming Zhou, Hangjun Che, Bingbing Jiang

Expert Syst. Appl., 2024

Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding.

Baicheng Pan, Chuandong Li, Hangjun Che

Eng. Appl. Artif. Intell., 2024

Enhanced Tensorial Self-representation Subspace Learning for Incomplete Multi-view Clustering.

Hangjun Che, Xinyu Pu, Deqiang Ouyang, Beibei Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Circuit Implementation of Fixed-Time Zeroing Neural Network for Time-Varying Equality Constrained Quadratic Programming.

Ruiqi Zhou, Xingxing Ju, Hangjun Che, Qian Zhang

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures.

M. R. Ezilarasan, D. Preethi, Man-Fai Leung, Hangjun Che, Xiangguang Dai

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks.

Faidat Adekemi Akorede, Man-Fai Leung, Hangjun Che

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

2023

A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications.

Xingxing Ju, Chuandong Li, Hangjun Che, Xing He, Gang Feng

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization.

Hangjun Che, Jun Wang, Andrzej Cichocki

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations.

Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che

Neural Networks, August, 2023

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints.

Chenglu Li, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan

Inf. Sci., July, 2023

Adaptive graph nonnegative matrix factorization with the self-paced regularization.

Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu

Appl. Intell., June, 2023

Graph non-negative matrix factorization with alternative smoothed L₀ regularizations.

Keyi Chen, Hangjun Che, Xinqi Li, Man-Fai Leung

Neural Comput. Appl., May, 2023

Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning.

Baicheng Pan, Chuandong Li, Hangjun Che

Neural Networks, April, 2023

Circuit Design and Analysis of Smoothed l₀ Norm Approximation for Sparse Signal Reconstruction.

JianJun Li, Hangjun Che, Xiaoyang Liu

Circuits Syst. Signal Process., April, 2023

Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms.

Zhenkun Wang, Man-Fai Leung, Hangjun Che, Carlos A. Coello Coello

Memetic Comput., March, 2023

An Adaptive Framework of Multimodal Emotion Recognition Based on Collaborative Discriminative Learning.

Yadi Wang, Xiaoding Guo, Yibo Zhang, Yiyuan Ren, Wendi Huang, Zunyan Liu, Yuming Feng, Xiangguang Dai, Wei Zhang, Hangjun Che

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

Latent multi-view subspace clustering based on Laplacian regularized representation.

Wei Guo, Hangjun Che, Man-Fai Leung, Nankun Mu, Xiangguang Dai, Yuming Feng

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022

Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications.

Xingxing Ju, Hangjun Che, Chuandong Li, Xing He

Neural Process. Lett., 2022

Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization.

Man-Fai Leung, Jun Wang, Hangjun Che

Neural Networks, 2022

Sparse signal reconstruction via collaborative neurodynamic optimization.

Hangjun Che, Jun Wang, Andrzej Cichocki

Neural Networks, 2022

2021

A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization.

Hangjun Che, Jun Wang

IEEE Trans. Neural Networks Learn. Syst., 2021

Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations.

Yadi Wang, Jun Wang, Hangjun Che

Neural Networks, 2021

Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications.

Xingxing Ju, Hangjun Che, Chuandong Li, Xing He, Gang Feng

Neurocomputing, 2021

A Neurodynamic Optimization Approach for L₁ Minimization with Application to Compressed Image Reconstruction.

Chengchen Dai, Hangjun Che, Man-Fai Leung

Int. J. Artif. Intell. Tools, 2021

2020

Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization.

Jiasen Wang, Jun Wang, Hangjun Che

IEEE Trans. Neural Networks Learn. Syst., 2020

2019

A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization.

Hangjun Che, Jun Wang

IEEE Trans. Neural Networks Learn. Syst., 2019

A collaborative neurodynamic approach to global and combinatorial optimization.

Hangjun Che, Jun Wang

Neural Networks, 2019

A Collaborative Neurodynamic Approach to Sparse Coding.

Hangjun Che, Jun Wang, Wei Zhang

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

A nonnegative matrix factorization algorithm based on a discrete-time projection neural network.

Hangjun Che, Jun Wang

Neural Networks, 2018

A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization.

Hangjun Che, Jun Wang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2016

A recurrent neural network for adaptive beamforming and array correction.

Hangjun Che, Chuandong Li, Xing He, Tingwen Huang

Neural Networks, 2016

2015

A recurrent neural network for optimal real-time price in smart grid.

Xing He, Tingwen Huang, Chuandong Li, Hangjun Che, Zhaoyang Dong

Neurocomputing, 2015

An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization.

Hangjun Che, Chuandong Li, Xing He, Tingwen Huang

Neurocomputing, 2015