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[1]
Lingwen Liu, Peng Cao*, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaiane, Structure-aware Self-supervised Graph Representation Learning, The 30th International Conference on Database Systems for Advanced Applications (DASFAA), May 26-29, 2025, Singapore.
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[2]
Qingshan Hou, Yaqi Wang, Peng Cao*, Jianguo Ju, Huijuan Tu, Xiaoli Liu, Jinzhu Yang, Huazhu Fu, Yih Chung Tham, and Osmar R. Zaiane. Pathology-preserving Transformer Based on multi-color Space for Low-quality Medical Image Enhancement. IEEE Transactions on Multimedia.
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[3]
Guangqi Wen, Xin Gao, Wenhui Tan, Peng Cao*, Jinzhu Yang, Weiping Li, Osmar Zaiane. Exploring Attention and Self-supervised Learning Mechanism for Graph Similarity Learning. IEEE Transactions on Neural Networks and Learning Systems.
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[4]
Guangqi Wen, Peng Cao*, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaiane and Fei Wang*. Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis. IEEE Transactions on Medical Imaging.
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[5]
Qingshan Hou, Yaqi Wang, Linqi Lan, Peng Cao*, Jinzhu Yang, Xiaoli Liu, Meng Wang, Yih Chung Tham, Osmar R. Zaiane. A Reference-Free Quality Enhancement Framework for Low-quality Fundus Images. IEEE Transactions on Circuits and Systems for Video Technology.
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[6]
Kai Zhang, Wei Liang, Peng Cao*, Zhaoyang Mao, Jinzhu Yang, Osmar Zaiane. CorLabelNet: A Comprehensive Framework for Multi-Label Chest X-ray Image Classification with Correlation Guided Discriminant Feature Learning and Oversampling. Medical & Biological Engineering & Computing.
Patents
Published Books
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科研项目
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[1]
2021/01-2024/12 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 国家级 自然科学基金面上基金 主持
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[2]
2020/10 -2023/09 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 国家级 重点研发计划课题 主持
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[3]
2016/06 -2019/06 雷达与相机一体化信息融合技术研究基智能辅助驾驶功能开发 国家级 项目支撑计划重点项目子课题 主持
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[4]
2016/01 -2018/12 面向肺癌临床辅助诊疗决策的多模态数据融合分析关键技术研究 国家级 自然科学基金青年基金 主持
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[5]
2015/06 -2017/4 基于深度学习的多模态肺癌临床数据融合分析与诊疗研究 省部级 中国博士后科学基金一等 主持
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[6]
2015/01-2016/12 基于多核学习的阿尔茨海默症和轻度认知障碍预测研究 中央高校基本科研业务费项目-启动 主持