Hangjun Che

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Matrix Factorization

Top Venues

Neural Networks

IEEE Trans. Neural Networks Learn. Syst.

Publications

Fenghua Zhang, Hangjun Che
Separable Consistency and Diversity Feature Learning for Multi-View Clustering. IEEE Signal Process. Lett. 31 (2024)
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 (2024)
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) (2024)
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 (2024)
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)
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 (2024)
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) (2024)
Faidat Adekemi Akorede, Man-Fai Leung, Hangjun Che
Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks. ISNN (2024)
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) (2024)
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)
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) (2024)
Xuanhao Yang, Hangjun Che, Man-Fai Leung, Shiping Wen
Self-paced regularized adaptive multi-view unsupervised feature selection. Neural Networks 175 (2024)
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 (2024)
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 (2023)
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) (2023)
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) (2023)
JianJun Li, Hangjun Che, Xiaoyang Liu
Norm Approximation for Sparse Signal Reconstruction. Circuits Syst. Signal Process. 42 (4) (2023)
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) (2023)
Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che
Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations. Neural Networks 165 (2023)
Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu
Adaptive graph nonnegative matrix factorization with the self-paced regularization. Appl. Intell. 53 (12) (2023)
Keyi Chen, Hangjun Che, Xinqi Li, Man-Fai Leung
regularizations. Neural Comput. Appl. 35 (14) (2023)
Baicheng Pan, Chuandong Li, Hangjun Che
Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning. Neural Networks 161 (2023)
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)
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)
Hangjun Che, Jun Wang, Andrzej Cichocki
Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks 154 (2022)
Man-Fai Leung, Jun Wang, Hangjun Che
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. Neural Networks 153 (2022)
Xingxing Ju, Hangjun Che, Chuandong Li, Xing He
Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. Neural Process. Lett. 54 (1) (2022)
Hangjun Che, Jun Wang
A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Yadi Wang, Jun Wang, Hangjun Che
Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations. Neural Networks 142 (2021)
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 (2021)
Chengchen Dai, Hangjun Che, Man-Fai Leung
Minimization with Application to Compressed Image Reconstruction. Int. J. Artif. Intell. Tools 30 (1) (2021)
Jiasen Wang, Jun Wang, Hangjun Che
Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 31 (4) (2020)
Hangjun Che, Jun Wang
A collaborative neurodynamic approach to global and combinatorial optimization. Neural Networks 114 (2019)
Hangjun Che, Jun Wang
A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 30 (8) (2019)
Hangjun Che, Jun Wang, Wei Zhang
A Collaborative Neurodynamic Approach to Sparse Coding. ISNN (1) (2019)
Hangjun Che, Jun Wang
A nonnegative matrix factorization algorithm based on a discrete-time projection neural network. Neural Networks 103 (2018)
Hangjun Che, Jun Wang
A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. ICONIP (2) (2018)
Hangjun Che, Chuandong Li, Xing He, Tingwen Huang
A recurrent neural network for adaptive beamforming and array correction. Neural Networks 80 (2016)
Hangjun Che, Chuandong Li, Xing He, Tingwen Huang
An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization. Neurocomputing 167 (2015)
Xing He, Tingwen Huang, Chuandong Li, Hangjun Che, Zhaoyang Dong
A recurrent neural network for optimal real-time price in smart grid. Neurocomputing 149 (2015)