【项目】
[1]宝马集团中国学院英才发展计划项目，Chassis quality improvement based on big data analysis，2018.9-2022.9，主持
[2]国家自然基金-面上项目，面向阿尔茨海默症功能脑网络分析的可信性图深度学习模型研究，2021.01-2024.12，参与
[3]国家自然基金-面上项目，面向感知大数据的不确定查询处理与优化技术，2015.01-2018.12，参与
[4]国家重点研发计划，基于动态异构图语义分析的知识图谱存储和检索关键技术研究 2020.10 -2023.09，参与
【论文】
[1]Wei Liang,Kai Zhang,Peng Cao,XiaoliLiu,JinzhuYang,OsmarR.Zaiane,“Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network(COMPUTERS IN BIOLOGY AND MEDICINE), 2021. (IF7.0 ,中科院二区,top,引用次数：36)
[2]Wei Liang,Kai Zhang,Peng Cao,XiaoliLiu,JinzhuYang,OsmarR.Zaiane,“Exploiting task relationships for Alzheimer’s disease cognitive score prediction via multi-task learning(COMPUTERS IN BIOLOGY AND MEDICINE), 2023. (IF7.0 ,中科院二区,top)
[3]Wei Liang,Kai Zhang,Peng Cao,XiaoliLiu,JinzhuYang,OsmarR.Zaiane,“ModelingAlzheimers’Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks”, International Conference on MedicalImage Computing and Computer AssistedIntervention(MICCAI), 2023. (CCF B类会议,医学顶会)
[4]Peng Cao,Wei Liang,Kai Zhang, Shanshan Tang,JinzhuYang,“Joint feature and task aware multi-task feature learning for Alzheimer’s disease diagnosis”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021. (CCF B类会议，EI）
[5]Wei Liang, Kai Zhang, Peng Cao,XiaoliLiu,JinzhuYang,OsmarR.Zaiane,“csl-MTFL: Multi-task feature learning with joint correlation structure learning for Alzheimer’s disease cognitive performance prediction”, International Conference Advanced Data Mining andApplications(ADMA), 2023. (CCF C类会议，EI)
[6]Kai Zhang,ZhaoyangMao, Peng Cao,Wei Liang,JinzhuYang,WeipingLi,OsmarR.Zaiane, “Label correlation guided borderline oversampling for imbalanced multi-label data learning”, Knowledge-Based Systems, 2023. (IF 8.8,中科院一区，TOP)
[7] Kai Zhang,Wei Liang,Peng Cao,JinzhuYang,WeipingLi,OsmarR.Zaiane,“Label Correlation guided Discriminative Label Feature Learning for Multi-label Chest Image Classification”, Computer Methods and Programs in Biomedicine, 2024. (IF 6.1,中科院二区，TOP)
[8]Kai Zhang,Wei Liang,Peng Cao,JinzhuYang,WeipingLi,OsmarR.Zaiane, “Label Correlation guided Feature Selection for Multi-label Learning”, International Conference Advanced Data Mining and Applications,2023.(CCF C类会议, EI）
[9]张凯,梁伟,曹鹏,杨金柱,“标签关联性指导的半监督多标签医疗图像分类模型”,小型微型计算机系统, 2024. (中文核心期刊)
【专利】
[1]梁伟;S·马库斯;刘闯;李晨，“用于不规则采样的时间序列的异常检测方法和系统”，申请号:CN202010274173.8
[2]王波涛;张凯;梁伟;李俞呈，“一种基于Shapelet的多传感器融合的活动识别方法”，申请号:CN201811463074.3
[3]王波涛;周建鹏;梁伟;李睿;刘广鑫，“一种面向Storm的基于反馈的连续范围查询负载均衡方法”， 申请号:CN201710536083.X
团队：无锡学院车联网协同决策控制实验室
