Hangjun Che - RankMe

78 papers A* 1C 3Journal 70Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GS-YOLO: A lightweight and high-performance method for PCB surface defect detection. Expert Syst. Appl. Guoxing Li, Yan Gan, Wei Zhang, Hangjun Che
2026	J	`jnl`	MMGA-KAN Net: KAN-based multi-resolution and multi-scale graph attention network for global and local unsupervised stereo matching. Neurocomputing Qianglong Feng, Xiaofeng Wang, Hangjun Che, Jingxin Liu, Jun Yu, Yingying Su
2026	J	`jnl`	Pointwise Mutual Information-Induced Nonnegative Matrix Tri-Factorization With Hypergraph Regularization for Overlapping Community Detection. IEEE Trans. Signal Inf. Process. over Networks Qianlong Zhou, Yuqi Yang, Hangjun Che, Xing He, Man-Fai Leung, Shahid Mumtaz
2026	J	`jnl`	SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering. IEEE Trans. Circuits Syst. Video Technol. Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2026	J	`jnl`	Structural feature selection via weighted sparse regression with mutual information. J. Big Data Yadi Wang, Yulin Xie, Sufang Zhou, Bingbing Jiang, Hangjun Che
2026	J	`jnl`	Tensorized anchor alignment for incomplete multi-view clustering. Neural Networks Yiran Cai, Hangjun Che, Wei Guo, Baicheng Pan, Man-Fai Leung
2026	J	`jnl`	Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering. IEEE Trans. Knowl. Data Eng. Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2025	J	`jnl`	A Multi-Kernel-Based Multi-View Deep Non-Negative Matrix Factorization for Enhanced Healthcare Data Clustering. IEEE Trans. Consumer Electron. Hangjun Che, Xuanhao Yang
2025	J	`jnl`	Auto-Weighted Multi-View Deep Non-Negative Matrix Factorization With Multi-Kernel Learning. IEEE Trans. Signal Inf. Process. over Networks Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu, Shiping Wen
2025	J	`jnl`	Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2025	J	`jnl`	Bipartite Synchronization of Fractional-Order Multi-Layer Signed Network With a Non-Autonomous Leader. IEEE Trans. Circuits Syst. I Regul. Pap. Wei Zhang, Haihong Zhu, Hangjun Che, Xin Wang, Huaqing Li, Hongyi Li
2025	J	`jnl`	CAME-AB: Cross-Modality Attention with Mixture-of-Experts for Antibody Binding Site Prediction. CoRR Hongzong Li, Jiahao Ma, Zhanpeng Shi, Rui Xiao, Fanming Jin, Ye-Fan Hu, Hangjun Che, Jian-Dong Huang
2025	J	`jnl`	Data-driven stock forecasting models based on neural networks: A review. Inf. Fusion Wuzhida Bao, Yuting Cao, Yin Yang, Hangjun Che, Junjian Huang, Shiping Wen
2025	J	`jnl`	Distributed Neurodynamic Models for Solving a Class of System of Nonlinear Equations. IEEE Trans. Neural Networks Learn. Syst. Xin Han, Xing He, Xingxing Ju, Hangjun Che, Tingwen Huang
2025	J	`jnl`	Diversity Embedding Deep Optimal Graph Regularized Nonnegative Matrix Factorization for Robust Multiview Clustering. IEEE Trans. Comput. Soc. Syst. Hangjun Che, Chenglu Li, Baicheng Pan, Yuting Cao
2025	J	`jnl`	Exploring contrastive learning and CLIP for improving image clustering. Inf. Sci. Mengjuan Li, Wenming Cao, Zhiwen Yu, Hangjun Che
2025	J	`jnl`	Federated Fuzzy C-Means for Multilayer Network Community Detection in Industrial Internet of Things. IEEE Internet Things J. Hangjun Che, Qianlong Zhou, Xuanhao Yang, You Zhao, Man-Fai Leung
2025	J	`jnl`	High-order consensus graph learning for incomplete multi-view clustering. Appl. Intell. Wei Guo, Hangjun Che, Man-Fai Leung
2025	J	`jnl`	Orthogonal Symmetric Nonnegative Matrix Factorization With Low-Rank Tensor Representation for Multilayer Network Community Detection. IEEE Trans. Comput. Soc. Syst. Hangjun Che, Qianlong Zhou, Yuqi Yang, Yiyan Han, Hongfei Li, Xing He
2025	J	`jnl`	Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing. IEEE Trans. Consumer Electron. Baicheng Pan, Hangjun Che, Chenglu Li, Hongfei Li
2025	J	`jnl`	Robust Diverse Multi-View Learning for Cancer Subtyping. IEEE Trans. Comput. Biol. Bioinform. Hangjun Che, Wei Guo, Man-Fai Leung, Yuting Cao, Cheng Liu
2025	J	`jnl`	Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Intell. Hangjun Che, Chenglu Li, Man-Fai Leung, Deqiang Ouyang, Xiangguang Dai, Shiping Wen
2025	J	`jnl`	Robust Low-Rank Tensor Constrained Orthogonal Symmetric Non-Negative Matrix Factorization for Multi-Layer Networks Community Detection. IEEE Trans. Emerg. Top. Comput. Intell. Qianlong Zhou, Hangjun Che, Wei Guo, Xing He, Man-Fai Leung, Shiping Wen
2025	J	`jnl`	Robust Mixed-order Graph Learning for incomplete multi-view clustering. Inf. Fusion Wei Guo, Hangjun Che, Man-Fai Leung, Long Jin, Shiping Wen
2025	J	`jnl`	Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization. Big Data Min. Anal. Jiyang Yu, Hangjun Che, Man-Fai Leung, Cheng Liu, Wenhui Wu, Zheng Yan
2025	J	`jnl`	SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering. CoRR Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2025	J	`jnl`	Tensor-based unsupervised feature selection for error-robust handling of unbalanced incomplete multi-view data. Inf. Fusion Xuanhao Yang, Hangjun Che, Man-Fai Leung
2025	J	`jnl`	Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering. CoRR Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2025	J	`jnl`	Two-step graph propagation for incomplete multi-view clustering. Neural Networks Xiao Zhang, Xinyu Pu, Hangjun Che, Cheng Liu, Jun Qin
2025	J	`jnl`	Unbalanced Incomplete Multiview Unsupervised Feature Selection With Low-Redundancy Constraint in Low-Dimensional Space. IEEE Trans. Ind. Informatics Xuanhao Yang, Hangjun Che, Man-Fai Leung, Shiping Wen
2025	J	`jnl`	Unsupervised feature selection based on generalized regression model with linear discriminant constraints. Complex Intell. Syst. Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai
2025	J	`jnl`	Weight consistency and cluster diversity based concept factorization for multi-view clustering. Digit. Signal Process. Youyang Tao, Hangjun Che, Chenglu Li, Baicheng Pan, Man-Fai Leung
2024	J	`jnl`	Adaptive multi-view subspace learning based on distributed optimization. Internet Things Wei Guo, Hangjun Che, Man-Fai Leung, Zheng Yan
2024	J	`jnl`	Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering. Signal Process. Yuzhu Dong, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan
2024	C	`conf`	Circuit Implementation of Fixed-Time Zeroing Neural Network for Time-Varying Equality Constrained Quadratic Programming. ISNN Ruiqi Zhou, Xingxing Ju, Hangjun Che, Qian Zhang
2024	A*	`conf`	Enhanced Tensorial Self-representation Subspace Learning for Incomplete Multi-view Clustering. ACM Multimedia Hangjun Che, Xinyu Pu, Deqiang Ouyang, Beibei Li
2024	C	`conf`	Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks. ISNN Faidat Adekemi Akorede, Man-Fai Leung, Hangjun Che
2024	J	`jnl`	Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding. Eng. Appl. Artif. Intell. Baicheng Pan, Chuandong Li, Hangjun Che
2024	J	`jnl`	Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2024	J	`jnl`	Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing. IEEE Trans. Consumer Electron. Baicheng Pan, Chuandong Li, Hangjun Che, Man-Fai Leung, Keping Yu
2024	J	`jnl`	Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso. Expert Syst. Appl. Yadi Wang, Mengyao Huang, Liming Zhou, Hangjun Che, Bingbing Jiang
2024	C	`conf`	Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures. ISNN M. R. Ezilarasan, D. Preethi, Man-Fai Leung, Hangjun Che, Xiangguang Dai
2024	J	`jnl`	Projected cross-view learning for unbalanced incomplete multi-view clustering. Inf. Fusion Yiran Cai, Hangjun Che, Baicheng Pan, Man-Fai Leung, Cheng Liu, Shiping Wen
2024	J	`jnl`	Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise. IEEE Trans. Comput. Soc. Syst. Xinyu Pu, Hangjun Che, Baicheng Pan, Man-Fai Leung, Shiping Wen
2024	J	`jnl`	Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2024	J	`jnl`	Self-paced regularized adaptive multi-view unsupervised feature selection. Neural Networks Xuanhao Yang, Hangjun Che, Man-Fai Leung, Shiping Wen
2024	J	`jnl`	Separable Consistency and Diversity Feature Learning for Multi-View Clustering. IEEE Signal Process. Lett. Fenghua Zhang, Hangjun Che
2024	J	`jnl`	Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks. IEEE Trans. Comput. Soc. Syst. Hangjun Che, Baicheng Pan, Man-Fai Leung, Yuting Cao, Zheng Yan
2024	J	`jnl`	Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Consumer Electron. Wei Guo, Hangjun Che, Man-Fai Leung
2023	J	`jnl`	A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications. IEEE Trans. Neural Networks Learn. Syst. Xingxing Ju, Chuandong Li, Hangjun Che, Xing He, Gang Feng
2023	J	`jnl`	Adaptive graph nonnegative matrix factorization with the self-paced regularization. Appl. Intell. Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu
2023	—	`conf`	An Adaptive Framework of Multimodal Emotion Recognition Based on Collaborative Discriminative Learning. ICACI Yadi Wang, Xiaoding Guo, Yibo Zhang, Yiyuan Ren, Wendi Huang, Zunyan Liu, Yuming Feng, Xiangguang Dai, Wei Zhang, Hangjun Che
2023	J	`jnl`	Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. Hangjun Che, Jun Wang, Andrzej Cichocki
2023	J	`jnl`	Circuit Design and Analysis of Smoothed l Circuits Syst. Signal Process. Jianjun Li, Hangjun Che, Xiaoyang Liu
2023	J	`jnl`	Correction to: A metaheuristic-based framework for index tracking with practical constraints. Complex Intell. Syst. Man-Chung Yuen, Sin Chun Ng, Man-Fai Leung, Hangjun Che
2023	J	`jnl`	Graph non-negative matrix factorization with alternative smoothed L Neural Comput. Appl. Keyi Chen, Hangjun Che, Xinqi Li, Man-Fai Leung
2023	—	`conf`	Latent multi-view subspace clustering based on Laplacian regularized representation. ICACI Wei Guo, Hangjun Che, Man-Fai Leung, Nankun Mu, Xiangguang Dai, Yuming Feng
2023	J	`jnl`	Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations. Neural Networks Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che
2023	J	`jnl`	Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning. Neural Networks Baicheng Pan, Chuandong Li, Hangjun Che
2023	J	`jnl`	Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. Inf. Sci. Chenglu Li, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan
2023	J	`jnl`	Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms. Memetic Comput. Zhenkun Wang, Man-Fai Leung, Hangjun Che, Carlos A. Coello Coello
2022	J	`jnl`	A metaheuristic-based framework for index tracking with practical constraints. Complex Intell. Syst. Man-Chung Yuen, Sin Chun Ng, Man-Fai Leung, Hangjun Che
2022	J	`jnl`	Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. Neural Networks Man-Fai Leung, Jun Wang, Hangjun Che
2022	J	`jnl`	Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. Neural Process. Lett. Xingxing Ju, Hangjun Che, Chuandong Li, Xing He
2022	J	`jnl`	Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks Hangjun Che, Jun Wang, Andrzej Cichocki
2021	J	`jnl`	A Neurodynamic Optimization Approach for L Int. J. Artif. Intell. Tools Chengchen Dai, Hangjun Che, Man-Fai Leung
2021	J	`jnl`	A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization. IEEE Trans. Neural Networks Learn. Syst. Hangjun Che, Jun Wang
2021	J	`jnl`	Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications. Neurocomputing Xingxing Ju, Hangjun Che, Chuandong Li, Xing He, Gang Feng
2021	J	`jnl`	Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations. Neural Networks Yadi Wang, Jun Wang, Hangjun Che
2020	J	`jnl`	Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. Jiasen Wang, Jun Wang, Hangjun Che
2019	—	`conf`	A Collaborative Neurodynamic Approach to Sparse Coding. ISNN (1) Hangjun Che, Jun Wang, Wei Zhang
2019	J	`jnl`	A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. Hangjun Che, Jun Wang
2019	J	`jnl`	A collaborative neurodynamic approach to global and combinatorial optimization. Neural Networks Hangjun Che, Jun Wang
2018	—	`conf`	A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. ICONIP (2) Hangjun Che, Jun Wang
2018	J	`jnl`	A nonnegative matrix factorization algorithm based on a discrete-time projection neural network. Neural Networks Hangjun Che, Jun Wang
2016	J	`jnl`	A recurrent neural network for adaptive beamforming and array correction. Neural Networks Hangjun Che, Chuandong Li, Xing He, Tingwen Huang
2015	J	`jnl`	A recurrent neural network for optimal real-time price in smart grid. Neurocomputing Xing He, Tingwen Huang, Chuandong Li, Hangjun Che, Zhaoyang Dong
2015	J	`jnl`	An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization. Neurocomputing Hangjun Che, Chuandong Li, Xing He, Tingwen Huang