An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization. - Hangjun Che; Chuandong Li 001; Xing He 001; Tingwen Huang (Neurocomputing, 2015)

A recurrent neural network for optimal real-time price in smart grid. - Xing He 001; Tingwen Huang; Chuandong Li 001; Hangjun Che; Zhaoyang Dong (Neurocomputing, 2015)

A recurrent neural network for adaptive beamforming and array correction. - Hangjun Che; Chuandong Li 001; Xing He 001; Tingwen Huang (Neural Networks, 2016)

A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. - Hangjun Che; Jun Wang 002 (ICONIP (2), 2018)

A nonnegative matrix factorization algorithm based on a discrete-time projection neural network. - Hangjun Che; Jun Wang 002 (Neural Networks, 2018)

A Collaborative Neurodynamic Approach to Sparse Coding. - Hangjun Che; Jun Wang 002; Wei Zhang 002 (ISNN (1), 2019)

A collaborative neurodynamic approach to global and combinatorial optimization. - Hangjun Che; Jun Wang 002 (Neural Networks, 2019)

A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. - Hangjun Che; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization. - Jiasen Wang; Jun Wang 002; Hangjun Che (IEEE Trans. Neural Networks Learn. Syst., 2020)

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)

Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications. - Xingxing Ju; Hangjun Che; Chuandong Li 001; Xing He 001; Gang Feng 001 (Neurocomputing, 2021)

Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations. - Yadi Wang; Jun Wang 002; Hangjun Che (Neural Networks, 2021)

A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization. - Hangjun Che; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Sparse signal reconstruction via collaborative neurodynamic optimization. - Hangjun Che; Jun Wang 002; Andrzej Cichocki (Neural Networks, 2022)

Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. - Man-Fai Leung; Jun Wang 002; Hangjun Che (Neural Networks, 2022)

Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. - Xingxing Ju; Hangjun Che; Chuandong Li 001; Xing He 001 (Neural Process. Lett., 2022)

Latent multi-view subspace clustering based on Laplacian regularized representation. - Wei Guo; Hangjun Che; Man-Fai Leung; Nankun Mu; Xiangguang Dai; Yuming Feng (ICACI, 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 158; Hangjun Che (ICACI, 2023)

Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms. - Zhenkun Wang 001; Man-Fai Leung; Hangjun Che; Carlos A. Coello Coello (Memetic Comput., 2023)

Circuit Design and Analysis of Smoothed l0 Norm Approximation for Sparse Signal Reconstruction. - JianJun Li; Hangjun Che; Xiaoyang Liu (Circuits Syst. Signal Process., 2023)

Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning. - Baicheng Pan; Chuandong Li 001; Hangjun Che (Neural Networks, 2023)

Graph non-negative matrix factorization with alternative smoothed L0 regularizations. - Keyi Chen 006; Hangjun Che; Xinqi Li; Man-Fai Leung (Neural Comput. Appl., 2023)

Adaptive graph nonnegative matrix factorization with the self-paced regularization. - Xuanhao Yang; Hangjun Che; Man-Fai Leung; Cheng Liu 001 (Appl. Intell., 2023)

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. - Chenglu Li; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Zheng Yan 001 (Inf. Sci., 2023)

Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations. - Xingxing Ju; Xinsong Yang; Gang Feng 001; Hangjun Che (Neural Networks, 2023)

Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. - Hangjun Che; Jun Wang 002; Andrzej Cichocki (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications. - Xingxing Ju; Chuandong Li 001; Hangjun Che; Xing He 001; Gang Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks. - Faidat Adekemi Akorede; Man-Fai Leung; Hangjun Che (ISNN, 2024)

Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures. - M. R. Ezilarasan; D. Preethi; Man-Fai Leung; Hangjun Che; Xiangguang Dai (ISNN, 2024)

Circuit Implementation of Fixed-Time Zeroing Neural Network for Time-Varying Equality Constrained Quadratic Programming. - Ruiqi Zhou; Xingxing Ju; Hangjun Che; Qian Zhang (ISNN, 2024)

Enhanced Tensorial Self-representation Subspace Learning for Incomplete Multi-view Clustering. - Hangjun Che; Xinyu Pu; Deqiang Ouyang; Beibei Li 002 (ACM Multimedia, 2024)

Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding. - Baicheng Pan; Chuandong Li 001; Hangjun Che (Eng. Appl. Artif. Intell., 2024)

Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso. - Yadi Wang; Mengyao Huang; Liming Zhou; Hangjun Che; Bingbing Jiang 001 (Expert Syst. Appl., 2024)

Adaptive multi-view subspace learning based on distributed optimization. - Wei Guo; Hangjun Che; Man-Fai Leung; Zheng Yan 001 (Internet Things, 2024)

Self-paced regularized adaptive multi-view unsupervised feature selection. - Xuanhao Yang; Hangjun Che; Man-Fai Leung; Shiping Wen 001 (Neural Networks, 2024)

Separable Consistency and Diversity Feature Learning for Multi-View Clustering. - Fenghua Zhang; Hangjun Che (IEEE Signal Process. Lett., 2024)

Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing. - Baicheng Pan; Chuandong Li 001; Hangjun Che; Man-Fai Leung; Keping Yu (IEEE Trans. Consumer Electron., 2024)

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering. - Yuzhu Dong; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Zheng Yan 001 (Signal Process., 2024)

Projected cross-view learning for unbalanced incomplete multi-view clustering. - Yiran Cai; Hangjun Che; Baicheng Pan; Man-Fai Leung; Cheng Liu 001; Shiping Wen 001 (Inf. Fusion, 2024)

Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering. - Wei Guo; Hangjun Che; Man-Fai Leung (IEEE Trans. Consumer Electron., 2024)

Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise. - Xinyu Pu; Hangjun Che; Baicheng Pan; Man-Fai Leung; Shiping Wen 001 (IEEE Trans. Comput. Soc. Syst., 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 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. - Cheng Liu 001; Rui Li 045; Si Wu 002; Hangjun Che; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. - Cheng Liu 001; Rui Li 045; Hangjun Che; Man-Fai Leung; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2024)

Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization. - Jiyang Yu; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Wenhui Wu; Zheng Yan 001 (Big Data Min. Anal., 2025)

Weight consistency and cluster diversity based concept factorization for multi-view clustering. - Youyang Tao; Hangjun Che; Chenglu Li; Baicheng Pan; Man-Fai Leung (Digit. Signal Process., 2025)

Data-driven stock forecasting models based on neural networks: A review. - Wuzhida Bao; Yuting Cao; Yin Yang 001; Hangjun Che; Junjian Huang; Shiping Wen 001 (Inf. Fusion, 2025)

Robust Mixed-order Graph Learning for incomplete multi-view clustering. - Wei Guo; Hangjun Che; Man-Fai Leung; Long Jin; Shiping Wen 001 (Inf. Fusion, 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)

Exploring contrastive learning and CLIP for improving image clustering. - Mengjuan Li; Wenming Cao 002; Zhiwen Yu 002; Hangjun Che (Inf. Sci., 2025)

Two-step graph propagation for incomplete multi-view clustering. - Xiao Zhang; Xinyu Pu; Hangjun Che; Cheng Liu 001; Jun Qin (Neural Networks, 2025)

Auto-Weighted Multi-View Deep Non-Negative Matrix Factorization With Multi-Kernel Learning. - Xuanhao Yang; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Shiping Wen 001 (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Distributed Neurodynamic Models for Solving a Class of System of Nonlinear Equations. - Xin Han; Xing He 001; Xingxing Ju; Hangjun Che; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Multi-Kernel-Based Multi-View Deep Non-Negative Matrix Factorization for Enhanced Healthcare Data Clustering. - Hangjun Che; Xuanhao Yang (IEEE Trans. Consumer Electron., 2025)

Unbalanced Incomplete Multiview Unsupervised Feature Selection With Low-Redundancy Constraint in Low-Dimensional Space. - Xuanhao Yang; Hangjun Che; Man-Fai Leung; Shiping Wen 001 (IEEE Trans. Ind. Informatics, 2025)

High-order consensus graph learning for incomplete multi-view clustering. - Wei Guo; Hangjun Che; Man-Fai Leung (Appl. Intell., 2025)

Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering. - Hangjun Che; Chenglu Li; Man-Fai Leung; Deqiang Ouyang; Xiangguang Dai; Shiping Wen 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing. - Baicheng Pan; Hangjun Che; Chenglu Li; Hongfei Li 001 (IEEE Trans. Consumer Electron., 2025)

Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering. - Cheng Liu 001; Rui Li 045; Hangjun Che; Man-Fai Leung; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2025)