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ORCIDWei Liang 0006
Person information
- affiliation: Hunan University of Technology and Business, Changsha Social Laboratory of Artificial Intelligence, Big Data Technology and Management, China
- affiliation (PhD 2016): Central South University, Business School, Changsha, China
- affiliation (2014-2015): Waseda University, Department of Human Informatics and Cognitive Sciences, Tokyo, Japan
Other persons with the same name
- Wei Liang — disambiguation page
- Wei Liang 0001
![[0000-0002-4730-017X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4730-017X")
— Chinese Academy of Sciences, Shenyang Institute of Automation, China - Wei Liang 0002 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China (and 2 more)
- Wei Liang 0003 — Xiamen University, School of Mathematical Sciences, China
- Wei Liang 0004 — University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA
- Wei Liang 0005 — Xiamen University of Technology, School of Opto-Electronic and Communication Engineering, China (and 2 more)
- Wei Liang 0007 — Henan Polytechnic University, School of Mathematics and Information Science, Jiaozuo, China
- Wei Liang 0008 — Beijing Institute of Technology, BIT, Beijing Laboratory of Intelligent Information Technology, School of Computer Science, China
- Wei Liang 0009 — Chinese Academy of Sciences, Institute of Automation, China
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2020 – today
- 2024
[j31]Xiaokang Zhou, Qiuyue Yang, Qiang Liu, Wei Liang, Kevin I-Kai Wang, Zhi Liu, Jianhua Ma, Qun Jin:
Spatial-Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning. Inf. Fusion 105: 102182 (2024)- [j30]Xiaokang Zhou, Qiuyue Yang, Xuzhe Zheng, Wei Liang, Kevin I-Kai Wang, Jianhua Ma, Yi Pan, Qun Jin:
Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse. IEEE J. Sel. Areas Commun. 42(4): 817-831 (2024) - 2023
- [j29]Wei Liang, Xiaohong Chen, Suzhen Huang, Guanghao Xiong, Ke Yan, Xiaokang Zhou:
Federal learning edge network based sentiment analysis combating global COVID-19. Comput. Commun. 204: 33-42 (2023) - [j28]Xiaokang Zhou, Wei Liang, Ke Yan, Weimin Li, Kevin I-Kai Wang, Jianhua Ma, Qun Jin:
Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything. IEEE Internet Things J. 10(4): 3295-3304 (2023) - [j27]Xiaokang Zhou, Xuzhe Zheng, Xuesong Cui, Jiashuai Shi, Wei Liang, Zheng Yan, Laurence T. Yang, Shohei Shimizu, Kevin I-Kai Wang:
Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks. IEEE J. Sel. Areas Commun. 41(10): 3191-3211 (2023) - [j26]Xiaokang Zhou, Xiaozhou Ye, Kevin I-Kai Wang, Wei Liang, Nirmal-Kumar C. Nair, Shohei Shimizu, Zheng Yan, Qun Jin:
Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications. IEEE Trans. Comput. Soc. Syst. 10(4): 1742-1751 (2023) - [j25]Xiaokang Zhou, Yiyong Hu, Jiayi Wu, Wei Liang, Jianhua Ma, Qun Jin:
Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT. IEEE Trans. Ind. Informatics 19(1): 570-580 (2023) - [j24]Xiaokang Zhou, Hailiang Hou, Wei Liang, Kevin I-Kai Wang, Qun Jin:
Intelligent Containment Control With Double Constraints for Cloud-Based Collaborative Manufacturing. IEEE Trans. Ind. Informatics 19(6): 7541-7551 (2023) - [j23]Wei Liang, Weiquan Xie, Xiaokang Zhou, Kevin I-Kai Wang, Jianhua Ma, Qun Jin:
Bi-Dueling DQN Enhanced Two-Stage Scheduling for Augmented Surveillance in Smart EMS. IEEE Trans. Ind. Informatics 19(7): 8218-8228 (2023) - [j22]Yan Chen, Tian Shu, Xiaokang Zhou, Xuzhe Zheng, Akira Kawai, Kaoru Fueda, Zheng Yan, Wei Liang, Kevin I-Kai Wang:
Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System. IEEE Trans. Intell. Transp. Syst. 24(8): 8727-8737 (2023) - [j21]Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Zheng Yan, Laurence T. Yang, Wei Wei, Jianhua Ma, Qun Jin:
Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems. IEEE Wirel. Commun. 30(2): 82-89 (2023) - 2022
- [j20]Xiaokang Zhou, Wei Liang, Weimin Li, Ke Yan, Shohei Shimizu, Kevin I-Kai Wang:
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System. IEEE Internet Things J. 9(12): 9310-9319 (2022) - [j19]Xiaokang Zhou, Xuesong Xu, Wei Liang, Zhi Zeng, Shohei Shimizu, Laurence T. Yang, Qun Jin:
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems. IEEE Trans. Ind. Informatics 18(2): 1377-1386 (2022) - [j18]Kevin I-Kai Wang, Xiaokang Zhou, Wei Liang, Zheng Yan, Jinhua She:
Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing. IEEE Trans. Ind. Informatics 18(6): 4088-4096 (2022) - [j17]Wei Liang, Yiyong Hu, Xiaokang Zhou, Yi Pan, Kevin I-Kai Wang:
Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT. IEEE Trans. Ind. Informatics 18(8): 5087-5095 (2022) - [j16]Xiaokang Zhou, Wei Liang, Jianhua Ma, Zheng Yan, Kevin I-Kai Wang:
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems. IEEE Trans. Netw. Sci. Eng. 9(6): 3934-3944 (2022) - 2021
- [j15]Xiaokang Zhou, Xuesong Xu, Wei Liang, Zhi Zeng, Zheng Yan:
Deep-Learning-Enhanced Multitarget Detection for End-Edge-Cloud Surveillance in Smart IoT. IEEE Internet Things J. 8(16): 12588-12596 (2021) - [j14]Xiaokang Zhou, Yue Li, Wei Liang:
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 912-921 (2021) - [j13]Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Laurence T. Yang:
Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations. IEEE Trans. Comput. Soc. Syst. 8(1): 171-178 (2021) - [j12]Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Runhe Huang, Qun Jin:
Academic Influence Aware and Multidimensional Network Analysis for Research Collaboration Navigation Based on Scholarly Big Data. IEEE Trans. Emerg. Top. Comput. 9(1): 246-257 (2021) - [j11]Xiaokang Zhou, Yiyong Hu, Wei Liang, Jianhua Ma, Qun Jin:
Variational LSTM Enhanced Anomaly Detection for Industrial Big Data. IEEE Trans. Ind. Informatics 17(5): 3469-3477 (2021) - [j10]Xiaokang Zhou, Wei Liang, Shohei Shimizu, Jianhua Ma, Qun Jin:
Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems. IEEE Trans. Ind. Informatics 17(8): 5790-5798 (2021) - [j9]Xiaokang Zhou, Wei Liang, Zijia Luo, Yi Pan:
Periodic-Aware Intelligent Prediction Model for Information Diffusion in Social Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 894-904 (2021) - [j8]Xiaokang Zhou, Wei Liang, Jinhua She, Zheng Yan, Kevin I-Kai Wang:
Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles. IEEE Trans. Veh. Technol. 70(6): 5308-5317 (2021) - [c7]Ke Yan, Fan Yang, Xiaokang Zhou, Wei Liang:
Parallel LSTM Enhanced Forecasting System for Dependable and Secure Household Energy Consumption. HPCC/DSS/SmartCity/DependSys 2021: 1988-1995 - 2020
- [j7]Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Hao Wang, Laurence T. Yang, Qun Jin:
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things. IEEE Internet Things J. 7(7): 6429-6438 (2020)
2010 – 2019
- 2019
- [j6]Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Shohei Shimizu:
Multi-Modality Behavioral Influence Analysis for Personalized Recommendations in Health Social Media Environment. IEEE Trans. Comput. Soc. Syst. 6(5): 888-897 (2019) - [j5]Xiaokang Zhou, Wei Liang, Suzhen Huang, Miao Fu:
Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service. IEEE Trans. Comput. Soc. Syst. 6(5): 1073-1082 (2019) - 2018
- [j4]Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Xuesong Xu, Qun Jin:
Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data. Future Gener. Comput. Syst. 87: 591-600 (2018) - 2017
- [j3]Wei Liang, Chunhua Hu, Min Wu, Qun Jin:
A data intensive heuristic approach to the two-stage streaming scheduling problem. J. Comput. Syst. Sci. 89: 64-79 (2017) - [c6]Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Qun Jin:
Recommendation for Cross-Disciplinary Collaboration Based on Potential Research Field Discovery. CBD 2017: 349-354 - [c5]Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Qun Jin:
Trust-Aware Recommendation for E-Commerce Associated with Social Networks. SOCA 2017: 211-216 - 2016
- [j2]Wei Liang, Zixian Lu, Qun Jin, Yonghua Xiong, Min Wu:
Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers. Int. J. Distributed Syst. Technol. 7(3): 42-62 (2016) - [j1]Wei Liang, Qun Jin, Zixian Lu, Min Wu, Chunhua Hu:
Analyzing of research patterns based on a temporal tracking and assessing model. Pers. Ubiquitous Comput. 20(6): 933-946 (2016) - [c4]Xiaokang Zhou, Wei Liang, Bo Wu, Zixian Lu, Shoji Nishimura, Takashi Shinomiya, Qun Jin:
Dynamic Community Mining and Tracking Based on Temporal Social Network Analysis. CIT 2016: 177-182 - 2015
- [c3]Wei Liang, Zixian Lu, Qun Jin, Yonghua Xiong, Min Wu:
A Temporal Model of Research Work Tracking and Assessing for an Individual and a Group. SmartCity 2015: 440-445 - [c2]Wei Liang, Yonghua Xiong, Min Wu, Qun Jin:
A Heuristic Scheduling Approach to Hybrid Makepsan Problem for Data Intensive Computing. SmartCity 2015: 932-937 - [c1]Wei Liang, Zixian Lu, Qun Jin, Yonghua Xiong, Min Wu:
Modeling of Research Topic Evolution Associated with Social Networks of Researchers. UIC/ATC/ScalCom 2015: 1169-1174
Coauthor Index
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last updated on 2024-04-26 20:11 CEST by the dblp team
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