Anti-noise possibilistic clustering based on maximum entropy. - Xingguang Pan; Xiongtao Zhang; Zhibin Jiang; Shitong Wang 001 (ISKE, 2017)

Fuzzy DBN with rule-based knowledge representation and high interpretability. - Xiongtao Zhang; Xingguang Pan; Shitong Wang 001 (ISKE, 2017)

Method and Applications for Multiple Attribute Decision-Making Based on Converting Triangular Fuzzy Numbers into Connection Numbers. - Qing Shen; Yunliang Jiang; Xiongtao Zhang; Jing Fan; Yong Liu 007 (Trans. Edutainment, 2017)

Uniform stability and mean-field limit for the augmented Kuramoto model. - Seung-Yeal Ha; Jeongho Kim 002; Jinyeong Park; Xiongtao Zhang (Networks Heterog. Media, 2018)

A General Cross-Layer Cloud Scheduling Framework for Multiple IoT Computer Tasks. - Guanlin Wu; Weidong Bao 001; Xiaomin Zhu 001; Xiongtao Zhang (Sensors, 2018)

Label Quality Improvement in Crowdsourcing with Ensemble TSK Fuzzy Classifier. - Xiongtao Zhang; Xingguang Pan; Shitong Wang 001 (ISKE, 2019)

DEED: Dynamic Energy-Efficient Data offloading for IoT applications under unstable channel conditions. - Hui Yan; Xiongtao Zhang; Huangke Chen; Yun Zhou; Weidong Bao 001; Laurence T. Yang (Future Gener. Comput. Syst., 2019)

Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks. - Xiongtao Zhang; Xiaomin Zhu 001; Ji Wang 002; Hui Yan; Huangke Chen; Weidong Bao 001 (Inf. Sci., 2020)

A Parallel Ensemble Fuzzy Classifier for Diabetes Diagnosis. - Xiongtao Zhang; Yunliang Jiang; Wenjun Hu; Shitong Wang 001 (J. Medical Imaging Health Informatics, 2020)

An Interpretable Fuzzy DBN-Based Classifier for Indoor User Movement Prediction in Ambient Assisted Living Applications. - Xiongtao Zhang; Fu-Lai Chung; Shitong Wang 001 (IEEE Trans. Ind. Informatics, 2020)

ILFM: Item Attribute-Aware Latent Factor Model for Personalized Recommendation. - O-Chol Kwon; Mingxin Gan; Xiongtao Zhang (PACIS, 2021)

Failure prediction by regularized fuzzy learning with intelligent parameters selection. - Qing Shen; Jungang Lou; Xiongtao Zhang; Yunliang Jiang (Appl. Soft Comput., 2021)

High-end equipment data desensitization method based on improved Stackelberg GAN. - Nan Xiang; Xiongtao Zhang; Yajie Dou; Xiangqian Xu; Ke-Wei Yang 001; Yuejin Tan (Expert Syst. Appl., 2021)

Distributed Learning on Mobile Devices: A New Approach to Data Mining in the Internet of Things. - Xiongtao Zhang; Xiaomin Zhu 001; Weidong Bao 001; Laurence T. Yang; Ji Wang 002; Hui Yan; Huangke Chen (IEEE Internet Things J., 2021)

Integrating Community Interest and Neighbor Semantic for Microblog Recommendation. - Mingxin Gan; Xiongtao Zhang (Int. J. Web Serv. Res., 2021)

Recognition of Imbalanced Epileptic EEG Signals by a Graph-Based Extreme Learning Machine. - Jie Zhou; Xiongtao Zhang; Zhibin Jiang (Wirel. Commun. Mob. Comput., 2021)

Mask-Guided Image Person Removal with Data Synthesis. - Yunliang Jiang; Chenyang Gu; Zhenfeng Xue; Xiongtao Zhang; Yong Liu (CoRR, 2022)

An adaptive immune-following algorithm for intelligent optimal schedule of multiregional agricultural machinery. - Yunliang Jiang; Xuyang Li; Zhen Yang 023; Xiongtao Zhang; Huifeng Wu (Int. J. Intell. Syst., 2022)

Interval-valued intuitionistic fuzzy multi-attribute second-order decision making based on partial connection numbers of set pair analysis. - Qing Shen; Xiongtao Zhang; Jungang Lou; Yong Liu 007; Yunliang Jiang (Soft Comput., 2022)

FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device. - Zhengyi Zhong; Weidong Bao 001; Ji Wang 002; Xiaomin Zhu 001; Xiongtao Zhang (ACM Trans. Intell. Syst. Technol., 2022)

Deep Graph Gaussian Processes for Short-Term Traffic Flow Forecasting From Spatiotemporal Data. - Yunliang Jiang; Jinbin Fan; Yong Liu 007; Xiongtao Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

DANCE: Distributed Generative Adversarial Networks with Communication Compression. - Xiongtao Zhang; Xiaomin Zhu 001; Ji Wang 002; Weidong Bao 001; Laurence T. Yang (ACM Trans. Internet Techn., 2022)

Prediction by Fuzzy Clustering and KNN on Validation Data With Parallel Ensemble of Interpretable TSK Fuzzy Classifiers. - Xiongtao Zhang; Yusuke Nojima; Hisao Ishibuchi; Wenjun Hu; Shitong Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Fuzzy Knowledge Distillation from High-Order TSK to Low-Order TSK. - Xiongtao Zhang; Zezong Yin; Yunliang Jiang; Yizhang Jiang; Danfeng Sun; Yong Liu (CoRR, 2023)

TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual Vision Transformer for Fast Arbitrary One-Shot Image Generation. - Yunliang Jiang; Lili Yan; Xiongtao Zhang; Yong Liu; Danfeng Sun (CoRR, 2023)

Mask-guided image person removal with data synthesis. - Yunliang Jiang; Chenyang Gu; Zhenfeng Xue; Xiongtao Zhang; Yong Liu 007 (IET Image Process., 2023)

Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition. - Xiongtao Zhang; Shuai Dong; Qing Shen; Jie Zhou; Jingjing Min (Frontiers Neuroinformatics, 2023)

A CNN-Based Born-Again TSK Fuzzy Classifier Integrating Soft Label Information and Knowledge Distillation. - Yunliang Jiang; Jiangwei Weng; Xiongtao Zhang; Zhen Yang 023; Wenjun Hu (IEEE Trans. Fuzzy Syst., 2023)

A disaggregated interest-extraction network for click-through rate prediction. - Mingxin Gan; Danyang Li; Xiongtao Zhang (Multim. Tools Appl., 2023)

MMusic: a hierarchical multi-information fusion method for deep music recommendation. - Jing Xu; Mingxin Gan; Xiongtao Zhang (J. Intell. Inf. Syst., 2023)

Monocular visual anti-collision method based on residual mixed attention for storage and retrieval machines. - Yunliang Jiang; Kailin Lu; Zhen Yang 023; Haoyu Zhang; Xiongtao Zhang (Expert Syst. Appl., 2024)

Self-adaptive asynchronous federated optimizer with adversarial sharpness-aware minimization. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Wenhua Xiao; Yaohong Zhang; Lihua Liu 002 (Future Gener. Comput. Syst., 2024)

CGG: Category-aware global graph contrastive learning for session-based recommendation. - Mingxin Gan; Xiongtao Zhang; Yuxin Liang (Knowl. Based Syst., 2024)

Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Hao Peng 001; Yaohong Zhang; Xiaomin Zhu 001 (Knowl. Based Syst., 2024)

Hi-GNN: hierarchical interactive graph neural networks for auxiliary information-enhanced recommendation. - Xiongtao Zhang; Mingxin Gan (Knowl. Inf. Syst., 2024)

A Multi-Objective Resource Pre-Allocation Scheme Using SDN for Intelligent Transportation System. - Yibing Liu; Lijun Huo; Xiongtao Zhang; Jun Wu 001 (IEEE Trans. Intell. Transp. Syst., 2024)

C-GDN: core features activated graph dual-attention network for personalized recommendation. - Xiongtao Zhang; Mingxin Gan (J. Intell. Inf. Syst., 2024)

Swarm Learning and Knowledge Distillation Empowered Self-Driving Detection Against Threat Behavior for Intelligent IoT. - Yibing Liu; Xiongtao Zhang; Lijun Huo; Jun Wu 001; Mohsen Guizani (IEEE Trans. Mob. Comput., 2024)

FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation. - Wenzheng Jiang; Ji Wang 002; Xiongtao Zhang; Weidong Bao 001; Cheston Tan; Flint Xiaofeng Fan (AAMAS, 2025)

All on board: Efficient reinforcement learning with milestone aggregation in asynchronous distributed training for RTS games. - Dayu Zhang; Weidong Bao 001; Ji Wang 002; Xiongtao Zhang; Jingxuan Zhou; Yaohong Zhang (Neurocomputing, 2025)

Trend-aware spatio-temporal fusion graph convolutional network with self-attention for traffic prediction. - Xiongtao Zhang; Lijie Pan; Qing Shen; Zhenfang Liu; Jungang Lou; Yunliang Jiang (Neurocomputing, 2025)

A willingness-aware session-based social recommendation method with heterogeneous global graph embedding. - Xiongtao Zhang; Jianmin Xu (Knowl. Based Syst., 2025)

Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Yaohong Zhang; Xiaomin Zhu 001; Hao Peng 001; Xiang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Dayu Zhang; Xiongtao Zhang; Yaohong Zhang (CoRR, 2025)

Dual-evolution: a deep sequence learning model exploring dual-side evolutions for movie recommendation. - Mingxin Gan; Xiongtao Zhang; Wenyu Wang (Electron. Commer. Res., 2025)

Indexes-Based and Partial Restart-Based Constrained Multiobjective Optimization. - Zhen Yang 023; Tangxu Yao; Yunliang Jiang; Jun Zhang 003; Xiongtao Zhang (IEEE Trans. Evol. Comput., 2025)