Wei Liang

49 papers A 1C 1Journal 40Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedCD: Contrastive-distillation regularization for heterogeneous data in federated learning.
Pattern Recognit.
Guodong Yi, Jianxu Zhang, Xinyu Zhang, Jian Ren, Wei Liang, Xiaocui Li
2025 J jnl
Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security.
IEEE J. Sel. Areas Commun.
Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Katsutoshi Yada, Laurence T. Yang, Jianhua Ma, Qun Jin
2025 A conf
Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis.
WSDM
Xiaocui Li, Guoliang Li, Xinyu Zhang, Yangtao Wang, Qingyu Shi, Wei Liang
2025 J jnl
Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization.
IEEE Trans. Neural Networks Learn. Syst.
Xiaokang Zhou, Xuzhe Zheng, Tian Shu, Wei Liang, Kevin I-Kai Wang, Lianyong Qi, Shohei Shimizu, Qun Jin
2025 J jnl
Permutation-Invariant and Equivariant Multiagent Reinforcement Learning for Flexible Manufacturing in Industrial IoT.
IEEE Internet Things J.
Yangyan Zeng, Aidong Liu, Suzhen Huang, Xiaoqun Chen, Wei Liang, Xiaokang Zhou
2024 J jnl
Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst.
Xiaokang Zhou, Wei Liang, Akira Kawai, Kaoru Fueda, Jinhua She, Kevin I-Kai Wang
2024 J jnl
Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things.
Inf. Sci.
Xiaokang Zhou, Wang Huang, Wei Liang, Zheng Yan, Jianhua Ma, Yi Pan, Kevin I-Kai Wang
2024 J jnl
Multitask Correlation Constrained Topological Learning Toward Smart Prognostic and Health Management in IoT.
IEEE Internet Things J.
Xuzhe Zheng, Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang
2024 J jnl
Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse.
IEEE J. Sel. Areas Commun.
Xiaokang Zhou, Qiuyue Yang, Xuzhe Zheng, Wei Liang, Kevin I-Kai Wang, Jianhua Ma, Yi Pan, Qun Jin
2024 J jnl
Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Xiaokang Zhou, Jiayi Wu, Wei Liang, Kevin I-Kai Wang, Zheng Yan, Laurence T. Yang, Qun Jin
2024 J jnl
Spatial-Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning.
Inf. Fusion
Xiaokang Zhou, Qiuyue Yang, Qiang Liu, Wei Liang, Kevin I-Kai Wang, Zhi Liu, Jianhua Ma, Qun Jin
2023 J jnl
Bi-Dueling DQN Enhanced Two-Stage Scheduling for Augmented Surveillance in Smart EMS.
IEEE Trans. Ind. Informatics
Wei Liang, Weiquan Xie, Xiaokang Zhou, Kevin I-Kai Wang, Jianhua Ma, Qun Jin
2023 J jnl
Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems.
IEEE Wirel. Commun.
Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Zheng Yan, Laurence T. Yang, Wei Wei, Jianhua Ma, Qun Jin
2023 J jnl
Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks.
IEEE J. Sel. Areas Commun.
Xiaokang Zhou, Xuzhe Zheng, Xuesong Cui, Jiashuai Shi, Wei Liang, Zheng Yan, Laurence T. Yang, Shohei Shimizu, Kevin I-Kai Wang
2023 J jnl
Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT.
IEEE Trans. Ind. Informatics
Xiaokang Zhou, Yiyong Hu, Jiayi Wu, Wei Liang, Jianhua Ma, Qun Jin
2023 J jnl
Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything.
IEEE Internet Things J.
Xiaokang Zhou, Wei Liang, Ke Yan, Weimin Li, Kevin I-Kai Wang, Jianhua Ma, Qun Jin
2023 J jnl
Federal learning edge network based sentiment analysis combating global COVID-19.
Comput. Commun.
Wei Liang, Xiaohong Chen, Suzhen Huang, Guanghao Xiong, Ke Yan, Xiaokang Zhou
2023 J jnl
Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System.
IEEE Trans. Intell. Transp. Syst.
Yan Chen, Tian Shu, Xiaokang Zhou, Xuzhe Zheng, Akira Kawai, Kaoru Fueda, Zheng Yan, Wei Liang, Kevin I-Kai Wang
2023 J jnl
Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications.
IEEE Trans. Comput. Soc. Syst.
Xiaokang Zhou, Xiaozhou Ye, Kevin I-Kai Wang, Wei Liang, Nirmal-Kumar C. Nair, Shohei Shimizu, Zheng Yan, Qun Jin
2023 J jnl
Intelligent Containment Control With Double Constraints for Cloud-Based Collaborative Manufacturing.
IEEE Trans. Ind. Informatics
Xiaokang Zhou, Hailiang Hou, Wei Liang, Kevin I-Kai Wang, Qun Jin
2022 J jnl
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems.
IEEE Trans. Netw. Sci. Eng.
Xiaokang Zhou, Wei Liang, Jianhua Ma, Zheng Yan, Kevin I-Kai Wang
2022 J jnl
Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing.
IEEE Trans. Ind. Informatics
Kevin I-Kai Wang, Xiaokang Zhou, Wei Liang, Zheng Yan, Jinhua She
2022 J jnl
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System.
IEEE Internet Things J.
Xiaokang Zhou, Wei Liang, Weimin Li, Ke Yan, Shohei Shimizu, Kevin I-Kai Wang
2022 J jnl
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems.
IEEE Trans. Ind. Informatics
Xiaokang Zhou, Xuesong Xu, Wei Liang, Zhi Zeng, Shohei Shimizu, Laurence T. Yang, Qun Jin
2022 J jnl
Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT.
IEEE Trans. Ind. Informatics
Wei Liang, Yiyong Hu, Xiaokang Zhou, Yi Pan, Kevin I-Kai Wang
2021 J jnl
Academic Influence Aware and Multidimensional Network Analysis for Research Collaboration Navigation Based on Scholarly Big Data.
IEEE Trans. Emerg. Top. Comput.
Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Runhe Huang, Qun Jin
2021 J jnl
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaokang Zhou, Yue Li, Wei Liang
2021 J jnl
Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations.
IEEE Trans. Comput. Soc. Syst.
Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Laurence T. Yang
2021 J jnl
Deep-Learning-Enhanced Multitarget Detection for End-Edge-Cloud Surveillance in Smart IoT.
IEEE Internet Things J.
Xiaokang Zhou, Xuesong Xu, Wei Liang, Zhi Zeng, Zheng Yan
2021 — conf
Parallel LSTM Enhanced Forecasting System for Dependable and Secure Household Energy Consumption.
HPCC/DSS/SmartCity/DependSys
Ke Yan, Fan Yang, Xiaokang Zhou, Wei Liang
2021 J jnl
Periodic-Aware Intelligent Prediction Model for Information Diffusion in Social Networks.
IEEE Trans. Netw. Sci. Eng.
Xiaokang Zhou, Wei Liang, Zijia Luo, Yi Pan
2021 J jnl
Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems.
IEEE Trans. Ind. Informatics
Xiaokang Zhou, Wei Liang, Shohei Shimizu, Jianhua Ma, Qun Jin
2021 J jnl
Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles.
IEEE Trans. Veh. Technol.
Xiaokang Zhou, Wei Liang, Jinhua She, Zheng Yan, Kevin I-Kai Wang
2021 J jnl
Variational LSTM Enhanced Anomaly Detection for Industrial Big Data.
IEEE Trans. Ind. Informatics
Xiaokang Zhou, Yiyong Hu, Wei Liang, Jianhua Ma, Qun Jin
2020 J jnl
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things.
IEEE Internet Things J.
Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Hao Wang, Laurence T. Yang, Qun Jin
2019 J jnl
Multi-Modality Behavioral Influence Analysis for Personalized Recommendations in Health Social Media Environment.
IEEE Trans. Comput. Soc. Syst.
Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Shohei Shimizu
2019 J jnl
Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service.
IEEE Trans. Comput. Soc. Syst.
Xiaokang Zhou, Wei Liang, Suzhen Huang, Miao Fu
2018 J jnl
Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data.
Future Gener. Comput. Syst.
Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Xuesong Xu, Qun Jin
2017 J jnl
A data intensive heuristic approach to the two-stage streaming scheduling problem.
J. Comput. Syst. Sci.
Wei Liang, Chunhua Hu, Min Wu, Qun Jin
2017 — conf
Recommendation for Cross-Disciplinary Collaboration Based on Potential Research Field Discovery.
CBD
Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Qun Jin
2017 — conf
Trust-Aware Recommendation for E-Commerce Associated with Social Networks.
SOCA
Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Qun Jin
2016 J jnl
Analyzing of research patterns based on a temporal tracking and assessing model.
Pers. Ubiquitous Comput.
Wei Liang, Qun Jin, Zixian Lu, Min Wu, Chunhua Hu
2016 J jnl
Cross platform method for ubiquitous computing and its application to mobile terminal.
Int. J. Ad Hoc Ubiquitous Comput.
Wei Liang, Yonghua Xiong, Min Wu, Jin-Hua She
2016 C conf
Dynamic Community Mining and Tracking Based on Temporal Social Network Analysis.
CIT
Xiaokang Zhou, Wei Liang, Bo Wu, Zixian Lu, Shoji Nishimura, Takashi Shinomiya, Qun Jin
2016 J jnl
Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers.
Int. J. Distributed Syst. Technol.
Wei Liang, Zixian Lu, Qun Jin, Yonghua Xiong, Min Wu
2015 — conf
A Heuristic Scheduling Approach to Hybrid Makepsan Problem for Data Intensive Computing.
SmartCity
Wei Liang, Yonghua Xiong, Min Wu, Qun Jin
2015 — conf
A Temporal Model of Research Work Tracking and Assessing for an Individual and a Group.
SmartCity
Wei Liang, Zixian Lu, Qun Jin, Yonghua Xiong, Min Wu
2015 — conf
Modeling of Research Topic Evolution Associated with Social Networks of Researchers.
UIC/ATC/ScalCom
Wei Liang, Zixian Lu, Qun Jin, Yonghua Xiong, Min Wu
2013 — conf
A Cross Platform Computing Method and Its Application for Mobile Device in Transparent Computing.
HPCC/EUC
Wei Liang, Yonghua Xiong, Min Wu