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2020 – today
- 2026
[j45]Jianguo Ju, Qingshan Hou, Xuesong Zhao, Pengfei Xu, Fa Zhu, Ziyu Guan, Yu-Dong Zhang, Witold Pedrycz:
An uncertain boundary region-aware network for multi-scale liver tumor segmentation. Expert Syst. Appl. 304: 130732 (2026)- [j44]Jianguo Ju, Tongtong Zhang, Wenhuan Song, Zidong Xiao, Huijuan Tu, Ziyu Guan, Fa Zhu, David Camacho
:
Collaborative learning of dynamic and static information for medical image segmentation. Inf. Fusion 125: 103509 (2026) - 2025
- [j43]Ziyang Guo, Meixia Xiao, Fa Zhu, Xingchi Chen, Achyut Shankar, Mazdak Zamani, Sushil Kumar Singh:
A manifold-based adversarial autoencoder with Fourier convolution for hyperspectral unmixing. Appl. Soft Comput. 177: 113176 (2025) - [j42]Xing Jin, Fa Zhu, Yu Shen, Gwanggil Jeon, David Camacho:
Data-Driven Dynamic Graph Convolution Transformer Network Model for EEG Emotion Recognition Under IoMT Environment. Big Data Min. Anal. 8(3): 712-725 (2025) - [j41]Hui Yan, Zhengyu Chen, Fa Zhu, Wei Zheng:
A study of complex network features for electrocardiograms and its Applications in atrial fibrillation recognition. Biomed. Signal Process. Control. 102: 107295 (2025) - [j40]Zhonghua Liu, Fa Zhu, Hao Xiong, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos:
Graph regularized discriminative nonnegative matrix factorization. Eng. Appl. Artif. Intell. 139: 109629 (2025) - [j39]Zhonghua Liu, Fa Zhu, Athanasios V. Vasilakos, Xingchi Chen, Qiang Zhao, David Camacho:
Discriminative approximate regression projection for feature extraction. Inf. Fusion 120: 103088 (2025) - [j38]Xingchi Chen, Bo Yi, Qing Li, Fa Zhu, Yingpu Nian, Achyut Shankar, Michele Nappi, Amr Tolba:
Deep Customized Network Slicing and Efficient Routing for IoT Applications in B5G-Enabled Edge Computing Networks. IEEE Internet Things J. 12(3): 2763-2774 (2025) - [j37]Yuxi Li, Jingjing Chen, Dong Ji, Fa Zhu, Xingchi Chen, Huilai Zhi, Daxin Zhu, Athanasios V. Vasilakos:
A scoping review of privacy protection in LBS: Architectures, Threats, and Defense mechanisms. J. King Saud Univ. Comput. Inf. Sci. 37(10) (2025) - [j36]Xu Liu, Qiujie Li, Youlin Xu, Shakir Khan, Fa Zhu:
Point cloud recognition of street tree canopies in urban Internet of Things based on laser reflection intensity. Sustain. Comput. Informatics Syst. 47: 101169 (2025) - [j35]Xizhan Gao, Xingrui Liu, Wei Hu, Sijie Niu, Zihao Dong, Fa Zhu, Danilo Pelusi:
Multi-Level Feature Perception Network for Set-Based Video Face Identification. IEEE Trans. Biom. Behav. Identity Sci. 7(4): 794-807 (2025) - [j34]Xingchi Chen, Shuanglong Zhang, Qing Li, Fa Zhu, Ansong Feng, Lewis Nkenyereye, Shalli Rani:
A NAS-Based TinyML for Secure Authentication Detection on SAGVN-Enabled Consumer Edge Devices. IEEE Trans. Consumer Electron. 71(1): 303-313 (2025) - [j33]Yuxi Li, Jingjing Chen, Dong Ji, Fa Zhu, Xingchi Chen, Jong Hyuk Park:
GPU-Accelerated Privacy Aggregation Queries of Crowdsensing Spatio-Temporal Data. IEEE Trans. Consumer Electron. 71(2): 4639-4655 (2025) - [j32]Luping Wang, Chen Yan, Hongjie Wu, Fa Zhu, Saru Kumari, Mohammed J. F. Alenazi:
A Privacy Protection Scheme for Consumer Electronics Data Based on Blockchain and AI. IEEE Trans. Consumer Electron. 71(2): 5165-5172 (2025) - [j31]Xiaoqing Liu, Zhiwen Yu, Jun Jiang, Bin Wang, Fa Zhu, Xingchi Chen, Witold Pedrycz:
Improved Cross-Modal Retrieval Systems Using Self-Reinforcement and Quadruplet Alignment Hashing. IEEE Trans. Consumer Electron. 71(4): 10880-10892 (2025) - [j30]Fa Zhu, Yudong Zhang, Athanasios V. Vasilakos, Witold Pedrycz:
Guest Editorial of the Special section on Lightweight Large Model for Edge Computing in Consumer Devices. IEEE Trans. Consumer Electron. 71(4): 11944-11946 (2025) - [j29]Xu Yang, Hongyan Xing, Fa Zhu, Yong Chen, David Camacho, Xudong Dong, Witold Pedrycz:
Multimodal Remote Sensing of Thunderstorm Charge Motion: A Radar Echo and Electric Field Fusion Approach. IEEE Trans. Geosci. Remote. Sens. 63: 1-13 (2025) - [j28]Wenpeng Chen, Xuelong Yu, Fa Zhu, Xingchi Chen, Kuan Zhang, Chong Yu, Hai Zhao, Athanasios V. Vasilakos:
Joint Communication and Control Optimization of a Multi-Vehicle Platooning System. IEEE Trans. Intell. Transp. Syst. 26(11): 19017-19027 (2025) - [j27]Qing Li, Xingchi Chen, Jiawei Guo, Fa Zhu, Achyut Shankar, Fayez Alqahtani, Kamalakanta Muduli, Bo Yi, Yong Jiang:
MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters. IEEE Trans. Serv. Comput. 18(5): 3038-3051 (2025) - [j26]Xingchi Chen, Xiaoyang Lu, Qing Li, Dazhou Li, Fa Zhu:
Integration of LLM and Human-AI Coordination for Power Dispatching With Connected Electric Vehicles Under SAGVNs. IEEE Trans. Veh. Technol. 74(2): 1992-2002 (2025) - [j25]Mingkai Chen, Congyan Wang, Xiaoming He, Fa Zhu, Lei Wang, Athanasios V. Vasilakos:
Embodied Artificial Intelligence-Enabled Internet of Vehicles: Challenges and Solutions. IEEE Veh. Technol. Mag. 20(2): 63-70 (2025) - [i1]Xiaomei Yang, Xizhan Gao, Sijie Niu, Fa Zhu, Guang Feng, Xiaofeng Qu, David Camacho:
CLIP4VI-ReID: Learning Modality-shared Representations via CLIP Semantic Bridge for Visible-Infrared Person Re-identification. CoRR abs/2511.10309 (2025) - 2024
- [j24]Zhonghua Liu, Tiansheng Wang, Fa Zhu, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos:
Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation. Expert Syst. Appl. 249: 123673 (2024) - [j23]Fa Zhu, Xiaochun Cheng, Sotiris Kotsiantis, Ioannis Hatzilygeroudis:
Editorial: Special Issue on Heterogeneous Domain Adaptation Learning and its Applications in Intelligent System. Int. J. Artif. Intell. Tools 33(7): 2402002:1-2402002:3 (2024) - [j22]Dazhou Li, Xingchi Chen, Qing Li, Fa Zhu, Xiaoyang Lu, Sidheswar Routray, Uttam Ghosh, Mohammed S. Al-Numay:
Intelligent Biomedical Photoplethysmography Signal Cycle Division With Digital Twin in Metaverse for Consumer Health. IEEE Trans. Consumer Electron. 70(1): 2116-2128 (2024) - [j21]Ruoyu Li, Qing Li, Yucheng Huang, Qingsong Zou, Dan Zhao, Zhengxin Zhang, Yong Jiang, Fa Zhu, Athanasios V. Vasilakos:
SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge Graph. IEEE Trans. Inf. Forensics Secur. 19: 7005-7018 (2024) - [j20]Xizhan Gao, Sijie Niu, Dong Wei, Xingrui Liu, Tingwei Wang, Fa Zhu, Jiwen Dong, Quansen Sun:
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6731-6745 (2024) - 2023
- [j19]Zhonghua Liu, Fa Zhu, Kaibing Zhang, Zhihui Lai, Hua Huo:
Manifold transfer subspace learning based on double relaxed discriminative regression. Artif. Intell. Rev. 56(S1): 959-981 (2023) - [j18]Fa Zhu, Wenjie Zhang, Xingchi Chen, Xizhan Gao, Ning Ye:
Large margin distribution multi-class supervised novelty detection. Expert Syst. Appl. 224: 119937 (2023) - [j17]Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye:
Relative margin induced support vector ordinal regression. Expert Syst. Appl. 231: 120766 (2023) - [j16]Fa Zhu, Xingchi Chen, Xizhan Gao, Weidu Ye, Hai Zhao, Athanasios V. Vasilakos:
Constraint-weighted support vector ordinal regression to resist constraint noises. Inf. Sci. 649: 119644 (2023) - 2022
- [j15]Fa Zhu, Junbin Gao, Jian Yang, Ning Ye:
Neighborhood linear discriminant analysis. Pattern Recognit. 123: 108422 (2022) - [j14]Wei Zheng, Shuo Chen, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang:
Feature Selection Boosted by Unselected Features. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4562-4574 (2022) - 2021
- [j13]Fa Zhu, Ye Ning, Xingchi Chen, Yongbin Zhao, Yining Gang:
On removing potential redundant constraints for SVOR learning. Appl. Soft Comput. 102: 106941 (2021) - [j12]Fa Zhu, Rajan Shankaran, Bin Zhao, Yongbin Zhao, Yining Gang, Xingchi Chen:
Anomaly detection-based intelligent computing in internet of things and network applications. Internet Technol. Lett. 4(3) (2021)
2010 – 2019
- 2018
- [j11]Sheng Xu, Shanshan Xu, Ning Ye, Fa Zhu:
Automatic extraction of street trees' nonphotosynthetic components from MLS data. Int. J. Appl. Earth Obs. Geoinformation 69: 64-77 (2018) - [j10]Wei Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu:
Low-rank structure preserving for unsupervised feature selection. Neurocomputing 314: 360-370 (2018) - [j9]Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao:
On Selecting Effective Patterns for Fast Support Vector Regression Training. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3610-3622 (2018) - 2017
- [j8]Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Sheng Xu, Cong Gao:
Finding the samples near the decision plane for support vector learning. Inf. Sci. 382-383: 292-307 (2017) - [j7]Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin:
Incorporating neighbors' distribution knowledge into support vector machines. Soft Comput. 21(21): 6407-6420 (2017) - 2016
- [j6]Fa Zhu, Jian Yang, Cong Gao, Sheng Xu, Ning Ye, Tongming Yin:
A weighted one-class support vector machine. Neurocomputing 189: 1-10 (2016) - [j5]Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu:
Extended nearest neighbor chain induced instance-weights for SVMs. Pattern Recognit. 60: 863-874 (2016) - [j4]Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin:
Relative density degree induced boundary detection for one-class SVM. Soft Comput. 20(11): 4473-4485 (2016) - 2014
- [j3]Fa Zhu, Jian Yang, Ning Ye, Cong Gao, Guobao Li, Tongming Yin:
Neighbors' distribution property and sample reduction for support vector machines. Appl. Soft Comput. 16: 201-209 (2014) - [j2]Fa Zhu, Ning Ye, Wei Yu, Sheng Xu, Guobao Li:
Boundary detection and sample reduction for one-class Support Vector Machines. Neurocomputing 123: 166-173 (2014) - [j1]Fa Zhu, Ning Ye, Wei Yu, Sheng Xu, Guobao Li:
Erratum to "Boundary detection and sample reduction for one-class Support Vector Machines" [Neurocomputing 123 (2014) 166-173]. Neurocomputing 135: 117 (2014) - 2011
- [c1]Sheng Xu, Ning Ye, Fa Zhu, Shanshan Xu, Liuliu Zhou:
Research on a RBF Neural Network in Stereo Matching. ICONIP (3) 2011: 284-291
Coauthor Index
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