郭倩
郭倩 (讲师)
研究领域:机器学习、计算机视觉
电子邮箱:
个人简介
博士,讲师,2022年6月博士毕业于山西大学计算机科学与技术专业,博士期间曾于2017-2018年赴香港大学从事研究助理的工作。2022年7月入职太原科技大学计算机科学与技术学院。博士期间师从钱宇华教授从事多模态机器学习方面的研究工作。近年来,以第一作者先后在《IEEE Transactions on Evolutionary Computation》、《International Journal of Approximate Reasoning》、《模式识别与人工智能》等国内外重要学术期刊与会议发表论文多篇。
教育教学
《离散数学》
招生信息
科学研究
主要研究方向为逻辑学习
科研项目
发表论文:
[1] Qian Guo, Yuhua Qian, Xinyan Liang. GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy. International Journal of Approximate Reasoning(IJAR), 2022,143:78-101.(CCF-B 类, SCI-2区)
[2] Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang. Logic could be learned from images. International Journal of Machine Learning and Cybernetics(JMLC), 2021,12:3397–3414. (SCI-2区)
[3] Qian Guo, Yuhua Qian, Xinyan Liang, Junyu Chen, Honghong Cheng. Multi-granulation multi-scale relation network for abstract reasoning. International Journal of Machine Learning and Cybernetics(JMLC), 2022,13:1751–1762. (SCI-2区)
[4] Qian Guo, Yuhua Qian, Xinyan Liang. Mining logic patterns from visual data [C]//IEEE International Conference on Data Mining Workshops (ICDMW), 2019, 620-627. (CCF-B 类会议)
[5] Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang. Evolutionary deep fusion method and its application in chemical structure recognition. IEEE Transactions on Evolutionary Computation (IEEE TEVC) , 2021,25(5):883-893. (CCF-B 类, SCI-1区)
[6] Yan Chen, Qian Guo, Xinyan Liang, Jiang Wang, Yuhua Qian. Environmental sound classification with dilated convolutions. Applied Acoustics, 2019,148:123-132.(SCI-2区)
[7] Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang. Local multigranulation decision-theoretic rough sets. International Journal of Approximate Reasoning(IJAR), 2017,82:119-137. (CCF-B 类, SCI-2区)
[8] Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang. Local neighborhood rough set. Knowledge-Based Systems(KBS), 2018,153:53-64. (CCF-C 类, SCI-1区)
[9] Honghong Cheng, Yuhua Qian, Yan Wu, Qian Guo, Yong Li. Diversity-induced fuzzy clustering[J]. International Journal of Approximate Reasoning, 2019,106:89-106. (CCF-B 类, SCI-2区)
[10] 郭倩, 钱宇华, 梁新彦. 基于关联约束的对抗跨模态检索方法[J]. 模式识别与人工智能, 2021,34(1):68-76. (CCF-B 类)
专利:
[1] 郭倩,钱宇华,梁新彦. 一种基于逻辑学习的多图检索方法. 国家发明专利,申请号:202110337481.5,申请日:2021 .3.30
[2] 梁新彦,郭倩,钱宇华,朱哲清,彭甫镕. 一种基于演化计算多视图融合的分子结构图检索方法. 国家发明专利,授权号:ZL202010666319.3,授权时间:2022.5.31