Wei Liang
Orcid: 0000-0002-0689-256XAffiliations:
- Hunan University of Technology and Business, Changsha Social Laboratory of Artificial Intelligence, Big Data Technology and Management, China
- Central South University, Business School, Changsha, China (PhD 2016)
- Waseda University, Department of Human Informatics and Cognitive Sciences, Tokyo, Japan (2014-2015)
According to our database1,
Wei Liang
authored at least 38 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Spatial-Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning.
Inf. Fusion, May, 2024
Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse.
IEEE J. Sel. Areas Commun., April, 2024
2023
Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks.
IEEE J. Sel. Areas Commun., October, 2023
Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System.
IEEE Trans. Intell. Transp. Syst., August, 2023
Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications.
IEEE Trans. Comput. Soc. Syst., August, 2023
Bi-Dueling DQN Enhanced Two-Stage Scheduling for Augmented Surveillance in Smart EMS.
IEEE Trans. Ind. Informatics, July, 2023
Intelligent Containment Control With Double Constraints for Cloud-Based Collaborative Manufacturing.
IEEE Trans. Ind. Informatics, June, 2023
Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems.
IEEE Wirel. Commun., April, 2023
Comput. Commun., April, 2023
Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything.
IEEE Internet Things J., February, 2023
Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT.
IEEE Trans. Ind. Informatics, 2023
2022
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems.
IEEE Trans. Netw. Sci. Eng., 2022
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT.
IEEE Trans. Ind. Informatics, 2022
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System.
IEEE Internet Things J., 2022
2021
Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles.
IEEE Trans. Veh. Technol., 2021
Periodic-Aware Intelligent Prediction Model for Information Diffusion in Social Networks.
IEEE Trans. Netw. Sci. Eng., 2021
Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Informatics, 2021
Academic Influence Aware and Multidimensional Network Analysis for Research Collaboration Navigation Based on Scholarly Big Data.
IEEE Trans. Emerg. Top. Comput., 2021
Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations.
IEEE Trans. Comput. Soc. Syst., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Deep-Learning-Enhanced Multitarget Detection for End-Edge-Cloud Surveillance in Smart IoT.
IEEE Internet Things J., 2021
Parallel LSTM Enhanced Forecasting System for Dependable and Secure Household Energy Consumption.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
IEEE Internet Things J., 2020
2019
Multi-Modality Behavioral Influence Analysis for Personalized Recommendations in Health Social Media Environment.
IEEE Trans. Comput. Soc. Syst., 2019
Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service.
IEEE Trans. Comput. Soc. Syst., 2019
2018
Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data.
Future Gener. Comput. Syst., 2018
2017
J. Comput. Syst. Sci., 2017
Proceedings of the 10th IEEE Conference on Service-Oriented Computing and Applications, 2017
Recommendation for Cross-Disciplinary Collaboration Based on Potential Research Field Discovery.
Proceedings of the Fifth International Conference on Advanced Cloud and Big Data, 2017
2016
Pers. Ubiquitous Comput., 2016
Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers.
Int. J. Distributed Syst. Technol., 2016
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016
2015
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
A Heuristic Scheduling Approach to Hybrid Makepsan Problem for Data Intensive Computing.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015
A Temporal Model of Research Work Tracking and Assessing for an Individual and a Group.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015