姓名：梁伟
所属学科：管理科学与工程
出生年月：1982年10月
职称：教授
E-mail:weiliang@csu.edu.cn
研究领域：工业智能、计算生物
掌握的外国语：英语
来校时间：2016年12月
教育背景：
2014/09-2015/12，日本早稻田大学，人间科学学院，联合培养博士
2012/09-2016/12，中南大学，信息科学与工程学院，控制科学与工程专业，博士
2002/09-2005/06，中南大学，信息科学与工程学院，计算机科学与技术专业，硕士
1998/09-2002/06，中南大学，应用数学系，应用数学专业，学士
工作经历：
2018/01-至今，中南大学商学院，管理科学与工程，博士后
2016/12-至今，湖南工商大学，前沿交叉学院，副教授
2010/09-2012/06，微软（中国）有限公司，企业服务部，技术顾问
2007/09-2010/06，微软亚洲研究院，中国技术中心，技术专家
2005/09-2007/06，微软亚洲研究院，微软高技术中心，研究员
主要荣誉：
2023 湖南省科技进步一等奖
2023 IEEE IES学会最佳论文奖
2020/2023年IEEE SMC学会最佳期刊论文奖（2020 Andrew P. Sage Best Transactions Paper Award）
2021 IEEE HPCC学会最佳论文奖
Google Scholar：https://scholar.google.com/citations?user=-nh3cIMAAAAJ
截止2024年3月论文引用量3234，H-Index 21。
主要课题：
主持的科研项目：
1.国家重点研发计划，2023YFC3305403，证券市场信用风险和流动性风险计量技术研究及应用示范，2024/01-2027/12
2. 国家自然科学基金面上项目，62072171，多域健康大数据驱动的重大传染病疫情早期识别方法研究，2021/01-2024/12
3. 湖南省自然科学基金面上项目，2019JJ40150，基于在线医疗多源大数据的高危传染性疾病预测及防控对策研究，2019/01-2022/12
4. 中国博士后科学基金面上资助（第64批，2018M643018），基于多源大数据的流行疾病预警及防控研究，2019/01-2020/12
5. 湖南省教育厅优秀青年基金项目，17B146，面向用户感知的个性化科研主题挖掘与推荐研究，2018/01-2020/12，已结题
参与的科研项目：
1. 国家自然科学基金重大项目，71790615，国家安全管理的决策体系设计研究，2018/01-2022/12，在研，参加
2. 国家自然科学基金面上项目，61772196，面向在线社会网络的信息传播机制、控制方法及关键技术研究，2018/01-2018/12，已结题，参加
3. 国家自然科学基金青年项目，61702183，面向多源空间相关大数据的数据清洗系统关键技术研究，2017/01-2021/12，在研，参加
4. 中国工程院咨询研究项目，2019-XY-35，大数据驱动的新时代国家生态安全战略研究，2019-2020，在研，参加
主要成果：（发表时间顺序）
期刊论文（仅列举第一作者/通讯作者论文）：
[1] X Zhou, Q Yang, Q Liu, W Liang*, K Wang, Z Liu, J Ma, Q Jin, Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning, Information Fusion,2024
[2] X Zhou, W Huang, W Liang*, Z Yan, J Ma, Y Pan, I Kevin, K Wang, Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things, Information Sciences,2024
[3] X Zhou, Q Yang, X Zheng, W Liang*, I Kevin, K Wang, J Ma, Y Pan, Q Jin, Personalized federation learning with model-contrastive learning for multi-modal user modeling in human-centric metaverse, IEEE Journal on Selected Areas in Communications(CCF A类，通讯领域顶刊),2024
[4] W Liang, X Chen, S Huang, G Xiong, K Yan, X Zhou, Federal learning edge network based sentiment analysis combating global COVID-19,Computer Communications,2023,204,33-42
[5] W Liang, W Xie, X Zhou, I Kevin, K Wang, J Ma, Q Jin, Bi-Dueling DQN Enhanced Two-stage Scheduling for Augmented Surveillance in Smart EMS,IEEE Transactions on Industrial Informatics, 2022
[6] Y Chen, T Shu, X Zhou, X Zheng, A Kawai, K Fueda, Z Yan, W Liang*, Graph attention network with spatial-temporal clustering for traffic flow forecasting in intelligent transportation system, IEEE Transactions on Intelligent Transportation Systems, 2022
[7] X Zhou, X Zheng, T Shu, W Liang*, I Kevin, K Wang, L Qi, S Shimizu, Q Jin, Information theoretic learning-enhanced dual-generative adversarial networks with causal representation for robust OOD generalization, IEEE Transactions on Neural Networks and Learning Systems, 2023
[8] X Zhou, X Zheng, X Cui, J Shi, W Liang*, Z Yan, LT Yang, S Shimizu, Digital twin enhanced federated reinforcement learning with lightweight knowledge distillation in mobile networks, IEEE Journal on Selected Areas in Communications(CCF A类，通讯领域顶刊), 2023
[9] X. Zhou, Y. Hu,W. Liang*, J. Ma and Q. Jin, "Variational LSTM Enhanced Anomaly Detection for Industrial Big Data," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2020.3022432.(SCI，中科院1区，Top期刊，IF=9.112)
[10] W Liang, Y Hu, X Zhou, Y Pan, I Kevin, K Wang, Variational few-shot learning for microservice-oriented intrusion detection in distributed industrial IoT, IEEE Transactions on Industrial Informatics 18 (8), 5087-5095
[11] X. Zhou, X. Xu*,W. Liang* “Intelligent Small Object Detection for Digital Twin in Smart Manufacturing with Industrial Cyber-Physical Systems”, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3061419
[12] X. Zhou,W. Liang*, K. Wang, H. Wang, L. Yang, Q. Jin, “Deep Learning Enhanced Human Activity Recognition for Internet of Healthcare Things,”IEEE Internet of Things Journal, online, 2020.(SCI，中科院1区,IF=9.515)
[13] X. Zhou,W. Liang*, S. Huang and M. Fu, "Social Recommendation with Large-Scale Group Decision Making for Cyber-Enabled Online Service,"IEEE Transactions on Computational Social Systems, vol. 6, no. 5, pp. 1073-1082, Oct. 2019.
[14] X. Zhou,W. Liang*, K. Wang and S. Shimizu, "Multi-Modality Behavioral Influence Analysis for Personalized Recommendations in Health Social Media Environment,"IEEE Transactions on Computational Social Systems, vol. 6, no. 5, pp. 888-897, Oct. 2019.
[15] W. Liang, X. Zhou, S. Huang, C. Hu, X. Xu and Q. Jin*, “Modeling of Cross-disciplinary Collaboration for Potential Field Discovery and Recommendation Based on Scholarly Big Data,”Future Generation Computer Systems, vol. 87, pp. 591-600, Oct. 2018.(SCI，中科院1区，IF=5.768)
[16] X. Zhou,W. Liang*, K. Wang, R. Huang and Q. Jin, “Academic Influence Aware and Multidimensional Network Analysis for Research Collaboration Navigation Based on Scholarly Big Data,”IEEE Transactions on Emerging Topics in Computing, Jul. 2018.
[17] W.Liang, C.H. Hu*, M. Wu, Q. Jin,A data intensive heuristic approach to the two-stage streaming scheduling problem,Journal of Computer and System Sciences,vol.89(1), pp.64-79, 2017.11(SCI，IF=1.583)
[18] W. Liang,Z.X. Lu, Q. Jin*, M. Wu, “Analyzing of Research Patterns Based on a Temporal Tracking and Assessing Model”,Personal and Ubiquitous Computing, vol. 20(6), pp.933-946, 2016
[19] W. Liang, Y.H. Xiong, M. Wu*, et al, “Cross Platform Computing and Its Application to Mobile Device in Transparent Computing”,International Journal of Ad Hoc and Ubiquitous Computing, vol.21(2), pp.104-118, 2016
[20] W. Liang, Z.X. Lu, Q. Jin*, et al, “Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers”,International Journal of Distributed Systems and Technologies, vol.7(3), pp.42-62, 2016
