A Cross Platform Computing Method and Its Application for Mobile Device in Transparent Computing. - Wei Liang 006; Yonghua Xiong; Min Wu 002 (HPCC/EUC, 2013)

A Temporal Model of Research Work Tracking and Assessing for an Individual and a Group. - Wei Liang 006; Zixian Lu; Qun Jin; Yonghua Xiong; Min Wu 002 (SmartCity, 2015)

A Heuristic Scheduling Approach to Hybrid Makepsan Problem for Data Intensive Computing. - Wei Liang 006; Yonghua Xiong; Min Wu 002; Qun Jin (SmartCity, 2015)

Modeling of Research Topic Evolution Associated with Social Networks of Researchers. - Wei Liang 006; Zixian Lu; Qun Jin; Yonghua Xiong; Min Wu 002 (UIC/ATC/ScalCom, 2015)

Dynamic Community Mining and Tracking Based on Temporal Social Network Analysis. - Xiaokang Zhou; Wei Liang 006; Bo Wu 007; Zixian Lu; Shoji Nishimura; Takashi Shinomiya; Qun Jin (CIT, 2016)

Cross platform method for ubiquitous computing and its application to mobile terminal. - Wei Liang 006; Yonghua Xiong; Min Wu 002; Jin-Hua She (Int. J. Ad Hoc Ubiquitous Comput., 2016)

Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers. - Wei Liang 006; Zixian Lu; Qun Jin; Yonghua Xiong; Min Wu 002 (Int. J. Distributed Syst. Technol., 2016)

Analyzing of research patterns based on a temporal tracking and assessing model. - Wei Liang 006; Qun Jin; Zixian Lu; Min Wu 002; Chunhua Hu 001 (Pers. Ubiquitous Comput., 2016)

Recommendation for Cross-Disciplinary Collaboration Based on Potential Research Field Discovery. - Wei Liang 006; Xiaokang Zhou; Suzhen Huang; Chunhua Hu 001; Qun Jin (CBD, 2017)

Trust-Aware Recommendation for E-Commerce Associated with Social Networks. - Wei Liang 006; Xiaokang Zhou; Suzhen Huang; Chunhua Hu 001; Qun Jin (SOCA, 2017)

A data intensive heuristic approach to the two-stage streaming scheduling problem. - Wei Liang 006; Chunhua Hu 001; Min Wu 002; Qun Jin (J. Comput. Syst. Sci., 2017)

Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data. - Wei Liang 006; Xiaokang Zhou; Suzhen Huang; Chunhua Hu 001; Xuesong Xu; Qun Jin (Future Gener. Comput. Syst., 2018)

Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service. - Xiaokang Zhou; Wei Liang 006; Suzhen Huang; Miao Fu (IEEE Trans. Comput. Soc. Syst., 2019)

Multi-Modality Behavioral Influence Analysis for Personalized Recommendations in Health Social Media Environment. - Xiaokang Zhou; Wei Liang 006; Kevin I-Kai Wang; Shohei Shimizu (IEEE Trans. Comput. Soc. Syst., 2019)

Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things. - Xiaokang Zhou; Wei Liang 006; Kevin I-Kai Wang; Hao Wang 003; Laurence T. Yang; Qun Jin (IEEE Internet Things J., 2020)

Parallel LSTM Enhanced Forecasting System for Dependable and Secure Household Energy Consumption. - Ke Yan 001; Fan Yang 100; Xiaokang Zhou; Wei Liang 006 (HPCC/DSS/SmartCity/DependSys, 2021)

Deep-Learning-Enhanced Multitarget Detection for End-Edge-Cloud Surveillance in Smart IoT. - Xiaokang Zhou; Xuesong Xu; Wei Liang 006; Zhi Zeng; Zheng Yan 002 (IEEE Internet Things J., 2021)

CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support. - Xiaokang Zhou; Yue Li; Wei Liang 006 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations. - Xiaokang Zhou; Wei Liang 006; Kevin I-Kai Wang; Laurence T. Yang (IEEE Trans. Comput. Soc. Syst., 2021)

Academic Influence Aware and Multidimensional Network Analysis for Research Collaboration Navigation Based on Scholarly Big Data. - Xiaokang Zhou; Wei Liang 006; Kevin I-Kai Wang; Runhe Huang; Qun Jin (IEEE Trans. Emerg. Top. Comput., 2021)

Variational LSTM Enhanced Anomaly Detection for Industrial Big Data. - Xiaokang Zhou; Yiyong Hu; Wei Liang 006; Jianhua Ma 002; Qun Jin (IEEE Trans. Ind. Informatics, 2021)

Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems. - Xiaokang Zhou; Wei Liang 006; Shohei Shimizu; Jianhua Ma 002; Qun Jin (IEEE Trans. Ind. Informatics, 2021)

Periodic-Aware Intelligent Prediction Model for Information Diffusion in Social Networks. - Xiaokang Zhou; Wei Liang 006; Zijia Luo; Yi Pan 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles. - Xiaokang Zhou; Wei Liang 006; Jinhua She; Zheng Yan 002; Kevin I-Kai Wang (IEEE Trans. Veh. Technol., 2021)

Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System. - Xiaokang Zhou; Wei Liang 006; Weimin Li 001; Ke Yan 001; Shohei Shimizu; Kevin I-Kai Wang (IEEE Internet Things J., 2022)

Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT. - Wei Liang 006; Yiyong Hu; Xiaokang Zhou; Yi Pan 001; Kevin I-Kai Wang (IEEE Trans. Ind. Informatics, 2022)

Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing. - Kevin I-Kai Wang; Xiaokang Zhou; Wei Liang 006; Zheng Yan 002; Jinhua She (IEEE Trans. Ind. Informatics, 2022)

Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems. - Xiaokang Zhou; Xuesong Xu; Wei Liang 006; Zhi Zeng; Shohei Shimizu; Laurence T. Yang; Qun Jin (IEEE Trans. Ind. Informatics, 2022)

2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems. - Xiaokang Zhou; Wei Liang 006; Jianhua Ma 002; Zheng Yan 002; Kevin I-Kai Wang (IEEE Trans. Netw. Sci. Eng., 2022)

Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT. - Xiaokang Zhou; Yiyong Hu; Jiayi Wu; Wei Liang 006; Jianhua Ma 002; Qun Jin (IEEE Trans. Ind. Informatics, 2023)

Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything. - Xiaokang Zhou; Wei Liang 006; Ke Yan 001; Weimin Li 001; Kevin I-Kai Wang; Jianhua Ma 002; Qun Jin (IEEE Internet Things J., 2023)

Federal learning edge network based sentiment analysis combating global COVID-19. - Wei Liang 006; Xiaohong Chen; Suzhen Huang; Guanghao Xiong; Ke Yan 001; Xiaokang Zhou (Comput. Commun., 2023)

Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems. - Xiaokang Zhou; Wei Liang 006; Kevin I-Kai Wang; Zheng Yan 002; Laurence T. Yang; Wei Wei 006; Jianhua Ma 002; Qun Jin (IEEE Wirel. Commun., 2023)

Intelligent Containment Control With Double Constraints for Cloud-Based Collaborative Manufacturing. - Xiaokang Zhou; Hailiang Hou; Wei Liang 006; Kevin I-Kai Wang; Qun Jin (IEEE Trans. Ind. Informatics, 2023)

Bi-Dueling DQN Enhanced Two-Stage Scheduling for Augmented Surveillance in Smart EMS. - Wei Liang 006; Weiquan Xie; Xiaokang Zhou; Kevin I-Kai Wang; Jianhua Ma 002; Qun Jin (IEEE Trans. Ind. Informatics, 2023)

Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications. - Xiaokang Zhou; Xiaozhou Ye; Kevin I-Kai Wang; Wei Liang 006; Nirmal-Kumar C. Nair; Shohei Shimizu; Zheng Yan 002; Qun Jin (IEEE Trans. Comput. Soc. Syst., 2023)

Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System. - Yan Chen; Tian Shu; Xiaokang Zhou; Xuzhe Zheng; Akira Kawai; Kaoru Fueda; Zheng Yan 002; Wei Liang 006; Kevin I-Kai Wang (IEEE Trans. Intell. Transp. Syst., 2023)

Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks. - Xiaokang Zhou; Xuzhe Zheng; Xuesong Cui; Jiashuai Shi; Wei Liang 006; Zheng Yan 002; Laurence T. Yang; Shohei Shimizu; Kevin I-Kai Wang (IEEE J. Sel. Areas Commun., 2023)

Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things. - Xiaokang Zhou; Wang Huang; Wei Liang 006; Zheng Yan 002; Jianhua Ma 002; Yi Pan 001; Kevin I-Kai Wang (Inf. Sci., 2024)

Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse. - Xiaokang Zhou; Qiuyue Yang; Xuzhe Zheng; Wei Liang 006; Kevin I-Kai Wang; Jianhua Ma 002; Yi Pan 001; Qun Jin (IEEE J. Sel. Areas Commun., 2024)

Spatial-Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning. - Xiaokang Zhou; Qiuyue Yang; Qiang Liu 004; Wei Liang 006; Kevin I-Kai Wang; Zhi Liu 002; Jianhua Ma 002; Qun Jin (Inf. Fusion, 2024)

Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems. - Xiaokang Zhou; Wei Liang 006; Akira Kawai; Kaoru Fueda; Jinhua She; Kevin I-Kai Wang (IEEE Trans. Intell. Transp. Syst., 2024)

Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection. - Xiaokang Zhou; Jiayi Wu; Wei Liang 006; Kevin I-Kai Wang; Zheng Yan 002; Laurence T. Yang; Qun Jin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multitask Correlation Constrained Topological Learning Toward Smart Prognostic and Health Management in IoT. - Xuzhe Zheng; Xiaokang Zhou; Wei Liang 006; Kevin I-Kai Wang (IEEE Internet Things J., 2024)

Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis. - Xiaocui Li; Guoliang Li; Xinyu Zhang 012; Yangtao Wang; Qingyu Shi 001; Wei Liang 006 (WSDM, 2025)

Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization. - Xiaokang Zhou; Xuzhe Zheng; Tian Shu; Wei Liang 006; Kevin I-Kai Wang; Lianyong Qi; Shohei Shimizu; Qun Jin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security. - Xiaokang Zhou; Wei Liang 006; Kevin I-Kai Wang; Katsutoshi Yada; Laurence T. Yang; Jianhua Ma 002; Qun Jin (IEEE J. Sel. Areas Commun., 2025)