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刘景华,女,博士,副教授,硕士生导师,入选福建省高层次人才,厦门市高层次人才,泉州市高层次人才。现为中国人工智能学会知识工程与分布智能专委会委员,中国人工智能学会粒计算与知识发现专业委员会委员,CCF YOCSEF厦门分会委员、CCF高级会员、ACM会员和IEEE会员。近年来,一直专注于机器学习、数据挖掘、以及粒计算理论及应用等方面的研究,主持国家级、省部级科研项目多项,已在国内外知名期刊和会议上(IEEE Transactions on Fuzzy Systems、ACM Transactions on Knowledge Discovery from Data、Pattern Recognition、Knowledge-Based Systems、ECCV和《电子学报》等)发表论文50余篇,其中SCI收录40余篇,谷歌学术总引用1700余次。 研究生招生(new!):软件工程(学术硕士,一级学科)2~3名 欢迎计算机、数学、统计、电子信息等专业背景的本科生报考! 研究方向:多标记学习,偏标记学习,标记分布学习,特征选择,在线知识发现,粒计算理论及其应用 个人主页: https://scholar.google.com/citations?user=9rvvLrQAAAAJ&hl=zh-CN&oi=ao 1. 主持的项目: [1] 面向特征变化数据的分类建模与可解释性研究(62306121),国家自然科学基金青年项目,2024/01-2026/12,主持、在研 [2] 开放动态环境下的特征选择与分类学习方法研究(ZQN-1115),中青年教师科技创新资助计划项目,2023/05-2027/04, 主持、在研 [3] 联合流标记和标记关系的多标记学习算法研究(2022J01317),福建省自然科学基金面上项目,2022/03-2025/03,主持、在研 [4] 面向多标记数据的流特征选择算法研究,华侨大学人才引进科研启动项目,2020/09-2023/09,主持、已结题 [5] 基于粒计算的在线多标记特征选择算法研究(D202001), 数据科学与智能应用福建省高校重点实验室开放课题(D202001),2020/10-2022/10,主持、已结题 2. 最近5年部分论文:
[1]. Jinghua Liu, Yaojin Lin*, Weiping Ding*, Hongbo Zhang, Jixiang Du. Fuzzy mutual information-based multi-label feature selection with label dependency and streaming labels [J]. IEEE Transactions on Fuzzy Systems, 2023, 31: 77-89.( SCI一区,Top期刊,影响因子12.253,ESI 高被引) [2] Jinghua Liu, Wei Wei, Yaojin Lin, Lijie Yang, Hongbo Zhang. Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels[J]. Pattern Recognition, 2024, 147: 110081.(SCI一区,Top期刊,影响因子8.0) [3] Jinghua Liu, Yaojin Lin*, Yuwen Li, Wei Weng, Shunxiang Wu*. Online multi-label streaming feature selection based on neighborhood rough set [J]. Pattern Recognition, 2018, 84: 273-287.(SCI一区,Top期刊,获第十四届福建省自然科学优秀学术论文一等奖) [4]. Jinghua Liu*, Yaojin Lin, Jixiang Du, Hongbo Zhang, Ziyi Chen, Jia Zhang*. ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set [J]. Applied Intelligence, 2023, 53(1): 1707-1724.(SCI二区) [5]. Jinghua Liu, Yaojin Lin*, Weiping Ding*, Hongbo Zhang, Cheng Wang, Jixiang Du, Multi-label feature selection based on label distribution and neighborhood rough set [J]. Neurocomputing, 2023, 524: 142-157. (SCI二区,Top期刊) [6] Jinghua Liu, Songwei Yang, Yaojin Lin, Chenxi Wang, Cheng Wang, Jixiang Du. Multi-label feature selection via joint label enhancement and pairwise label correlations[J]. International Journal of Machine Learning and Cybernetics,2023, 1-22. [7]. Jinghua Liu, Yaojin Lin*, Shunxiang Wu, Chenxi Wang. Online multi-label group feature selection [J]. Knowledge-Based Systems, 2018, 143: 42-57.(SCI一区,Top期刊) [8]. Jinghua Liu, Yuwen Li, Weng Wei, Jia Zhang, Baihua Chen, Shunxiang Wu*, Feature selection for multi-label learning with streaming label [J]. Neurocomputing, 2020, 387: 268-278. (SCI二区,Top期刊) [9]. Jinghua Liu, Yaojin Lin*, Menglei Lin, Shunxiang Wu, Jia Zhang. Feature selection based on quality of information [J]. Neurocomputing, 2017, 225: 11-22. (SCI二区,Top期刊) [10]. Yuling Fan, Jinghua Liu*, Wei Weng, Baihua Chen, Yannan Chen, Shunxiang Wu*. Multi-label feature selection with constraint regression and adaptive spectral graph [J]. Knowledge-Based Systems, 2021, doi: 10.1016/j.patcog.2021.108169.(SCI一区,Top期刊)
3. 著作教材: [1] 缑锦,王华珍,刘景华. 人工智能应用开发与案例分析,北京:清华大学出版社, 2023. 4. 获奖与荣誉 [1] 2020-2022年度获得华侨大学“学生最喜欢的教师”荣誉 [2] 2020年博士毕业论文获福建省优秀博士学位论文 [3] 2020年获得厦门大学优秀博士毕业生 [4] 论文《Online multi-label streaming feature selection based on neighborhood rough set 》获第十四届福建省自然科学优秀学术论文一等奖 5. 指导学生获奖: [1] 指导王新艺、刘萍、杨松炜获国家研究生数学建模三等奖(2021) [2] 指导杨松炜、黄鸿楷、陆篡民获国家研究生数学建模二等奖(2022) [3] 指导魏威、杨松炜、黄姝琦获国家研究生数学建模三等奖(2023) 6. 担任以下国际期刊审稿人: 《IEEE Transactions on Knowledge and Data Engineering》、《IEEE Transactions on Neural Networks and Learning Systems》、《ACM Transactions on Knowledge Discovery from Data(TKDD)》、《 IEEE Transactions on Fuzzy Systems》、《 IEEE Transactions on Emerging Topics in Computational Intelligence》、《Information Fusion》、《Pattern Recognition》、《Information Sciences》、《Knowledge and Information Systems》、《Knowledge-Based Systems》、《Neurocomputing》、《International Journal of Machine Learning and Cybernetics》以及《Applied Intelligence 》等期刊
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