Research on a RBF Neural Network in Stereo Matching. - Sheng Xu 003; Ning Ye; Fa Zhu; Shanshan Xu; Liuliu Zhou (ICONIP (3), 2011)

Neighbors' distribution property and sample reduction for support vector machines. - Fa Zhu; Jian Yang 003; Ning Ye; Cong Gao 001; Guobao Li; Tongming Yin (Appl. Soft Comput., 2014)

Boundary detection and sample reduction for one-class Support Vector Machines. - Fa Zhu; Ning Ye; Wei Yu; Sheng Xu 003; Guobao Li (Neurocomputing, 2014)

Erratum to "Boundary detection and sample reduction for one-class Support Vector Machines" [Neurocomputing 123 (2014) 166-173]. - Fa Zhu; Ning Ye; Wei Yu; Sheng Xu 003; Guobao Li (Neurocomputing, 2014)

A weighted one-class support vector machine. - Fa Zhu; Jian Yang 003; Cong Gao 001; Sheng Xu 003; Ning Ye; Tongming Yin (Neurocomputing, 2016)

Extended nearest neighbor chain induced instance-weights for SVMs. - Fa Zhu; Jian Yang 003; Junbin Gao; Chunyan Xu (Pattern Recognit., 2016)

Relative density degree induced boundary detection for one-class SVM. - Fa Zhu; Jian Yang 003; Sheng Xu 003; Cong Gao 001; Ning Ye; Tongming Yin (Soft Comput., 2016)

Finding the samples near the decision plane for support vector learning. - Fa Zhu; Jian Yang 003; Junbin Gao; Chunyan Xu; Sheng Xu 003; Cong Gao 001 (Inf. Sci., 2017)

Incorporating neighbors' distribution knowledge into support vector machines. - Fa Zhu; Jian Yang 003; Sheng Xu 003; Cong Gao 001; Ning Ye; Tongming Yin (Soft Comput., 2017)

Automatic extraction of street trees' nonphotosynthetic components from MLS data. - Sheng Xu 003; Shanshan Xu; Ning Ye; Fa Zhu (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Low-rank structure preserving for unsupervised feature selection. - Wei Zheng; Chunyan Xu; Jian Yang 003; Junbin Gao; Fa Zhu (Neurocomputing, 2018)

On Selecting Effective Patterns for Fast Support Vector Regression Training. - Fa Zhu; Junbin Gao; Chunyan Xu; Jian Yang 003; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

On removing potential redundant constraints for SVOR learning. - Fa Zhu; Ye Ning; Xingchi Chen; Yongbin Zhao; Yining Gang (Appl. Soft Comput., 2021)

Anomaly detection-based intelligent computing in internet of things and network applications. - Fa Zhu; Rajan Shankaran; Bin Zhao; Yongbin Zhao; Yining Gang; Xingchi Chen (Internet Technol. Lett., 2021)

Neighborhood linear discriminant analysis. - Fa Zhu; Junbin Gao; Jian Yang 003; Ning Ye (Pattern Recognit., 2022)

Feature Selection Boosted by Unselected Features. - Wei Zheng; Shuo Chen 003; Zhenyong Fu; Fa Zhu; Hui Yan; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Large margin distribution multi-class supervised novelty detection. - Fa Zhu; Wenjie Zhang; Xingchi Chen; Xizhan Gao; Ning Ye (Expert Syst. Appl., 2023)

Manifold transfer subspace learning based on double relaxed discriminative regression. - Zhonghua Liu; Fa Zhu; Kaibing Zhang; Zhihui Lai 001; Hua Huo (Artif. Intell. Rev., 2023)

Relative margin induced support vector ordinal regression. - Fa Zhu; Xingchi Chen; Shuo Chen 003; Wei Zheng; Weidu Ye (Expert Syst. Appl., 2023)

Constraint-weighted support vector ordinal regression to resist constraint noises. - Fa Zhu; Xingchi Chen; Xizhan Gao; Weidu Ye; Hai Zhao; Athanasios V. Vasilakos (Inf. Sci., 2023)

Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation. - Zhonghua Liu; Tiansheng Wang; Fa Zhu; Xingchi Chen; Danilo Pelusi; Athanasios V. Vasilakos (Expert Syst. Appl., 2024)

SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge Graph. - Ruoyu Li 003; Qing Li 006; Yucheng Huang; Qingsong Zou; Dan Zhao 003; Zhengxin Zhang; Yong Jiang 001; Fa Zhu; Athanasios V. Vasilakos (IEEE Trans. Inf. Forensics Secur., 2024)

Intelligent Biomedical Photoplethysmography Signal Cycle Division With Digital Twin in Metaverse for Consumer Health. - Dazhou Li; Xingchi Chen; Qing Li 006; Fa Zhu; Xiaoyang Lu; Sidheswar Routray; Uttam Ghosh; Mohammed S. Al-Numay (IEEE Trans. Consumer Electron., 2024)

Joint Metric Learning-Based Class-Specific Representation for Image Set Classification. - Xizhan Gao; Sijie Niu; Dong Wei 007; Xingrui Liu; Tingwei Wang; Fa Zhu; Jiwen Dong; Quansen Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Editorial: Special Issue on Heterogeneous Domain Adaptation Learning and its Applications in Intelligent System. - Fa Zhu; Xiaochun Cheng; Sotiris Kotsiantis; Ioannis Hatzilygeroudis (Int. J. Artif. Intell. Tools, 2024)

A manifold-based adversarial autoencoder with Fourier convolution for hyperspectral unmixing. - Ziyang Guo; Meixia Xiao; Fa Zhu; Xingchi Chen; Achyut Shankar; Mazdak Zamani; Sushil Kumar Singh 004 (Appl. Soft Comput., 2025)

Data-Driven Dynamic Graph Convolution Transformer Network Model for EEG Emotion Recognition Under IoMT Environment. - Xing Jin; Fa Zhu; Yu Shen; Gwanggil Jeon; David Camacho (Big Data Min. Anal., 2025)

A study of complex network features for electrocardiograms and its Applications in atrial fibrillation recognition. - Hui Yan; Zhengyu Chen; Fa Zhu; Wei Zheng (Biomed. Signal Process. Control., 2025)

Graph regularized discriminative nonnegative matrix factorization. - Zhonghua Liu; Fa Zhu; Hao Xiong; Xingchi Chen; Danilo Pelusi; Athanasios V. Vasilakos (Eng. Appl. Artif. Intell., 2025)

Discriminative approximate regression projection for feature extraction. - Zhonghua Liu; Fa Zhu; Athanasios V. Vasilakos; Xingchi Chen; Qiang Zhao; David Camacho (Inf. Fusion, 2025)

Deep Customized Network Slicing and Efficient Routing for IoT Applications in B5G-Enabled Edge Computing Networks. - Xingchi Chen; Bo Yi; Qing Li 006; Fa Zhu; Yingpu Nian; Achyut Shankar; Michele Nappi; Amr Tolba (IEEE Internet Things J., 2025)

Point cloud recognition of street tree canopies in urban Internet of Things based on laser reflection intensity. - Xu Liu; Qiujie Li; Youlin Xu; Shakir Khan; Fa Zhu (Sustain. Comput. Informatics Syst., 2025)

A NAS-Based TinyML for Secure Authentication Detection on SAGVN-Enabled Consumer Edge Devices. - Xingchi Chen; Shuanglong Zhang; Qing Li 006; Fa Zhu; Ansong Feng; Lewis Nkenyereye; Shalli Rani (IEEE Trans. Consumer Electron., 2025)

Integration of LLM and Human-AI Coordination for Power Dispatching With Connected Electric Vehicles Under SAGVNs. - Xingchi Chen; Xiaoyang Lu; Qing Li 006; Dazhou Li; Fa Zhu (IEEE Trans. Veh. Technol., 2025)

GPU-Accelerated Privacy Aggregation Queries of Crowdsensing Spatio-Temporal Data. - Yuxi Li 002; Jingjing Chen; Dong Ji; Fa Zhu; Xingchi Chen; Jong Hyuk Park 001 (IEEE Trans. Consumer Electron., 2025)

A Privacy Protection Scheme for Consumer Electronics Data Based on Blockchain and AI. - Luping Wang 001; Chen Yan; Hongjie Wu; Fa Zhu; Saru Kumari; Mohammed J. F. Alenazi (IEEE Trans. Consumer Electron., 2025)

Embodied Artificial Intelligence-Enabled Internet of Vehicles: Challenges and Solutions. - Mingkai Chen; Congyan Wang; Xiaoming He; Fa Zhu; Lei Wang 009; Athanasios V. Vasilakos (IEEE Veh. Technol. Mag., 2025)

Collaborative learning of dynamic and static information for medical image segmentation. - Jianguo Ju; Tongtong Zhang; Wenhuan Song; Zidong Xiao; Huijuan Tu; Ziyu Guan; Fa Zhu; David Camacho (Inf. Fusion, 2026)