郭倩

图片1.png郭倩 (副教授)

研究领域:机器学习

电子邮箱:czguoqian@163.com

个人简介

       博士,副教授,硕士生导师,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逻辑学习的研究工作。近年来,以一作/共一/通讯身份在IJCAI、AAAI、ACM MM、TEVC、TETCI、IJAR等发表论文多篇。



 



教育教学

     《离散数学》《面向对象程序设计(JAVA)》

  

招生信息

课题组位于太原科技大学计算机科学与技术学院,科研氛围浓厚、软硬件支撑完备,热忱欢迎同学们报考课题组硕士研究生,有读博倾向的学生优先。等待志同道合的你,双向奔赴。

 

科学研究

主要研究方向为逻辑学习、多模态融合

 

科研项目

1. 国家自然科学基金青年基金, 多粒度序列逻辑学习预测与内蕴表达解析, 62406218, 2025-01-012027-12-31, 30万元, 主持.

2. 山西省基础研究计划青年项目, 序列逻辑学习, 202203021222183, 2023-012025-12, 5万元, 主持.

3. 计算智能与中文信息处理教育部重点实验室开放基金, 自适应序列逻辑学习研究, CICIP2023005, 2023.10-2025.09, 3万元, 主持.

 

发表论文:

2025

[1] Qian Guo, Shiwu Sun, Xinyan Liang, Yuhua Qian , Zhihua Cui. LogicNAS: Multi-View Neural Architecture Search Method for Image Sequence Logic Prediction[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025. (SCI 2)

[2] Zhihua Cui, Shiwu Sun, Qian Guo*, Xinyan Liang, Yuhua Qian, Zhixia Zhang. A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing[C]//Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, Montreal, Canada, Aug 16-22, 2025, 5003-5011. (CCF-A)

[3] Xinyan Liang, Li Lv, Qian Guo*, et al. View-association-guided dynamic multi-view classification[C]//Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, Montreal, Canada, Aug 16-22, 2025: 5680-5688. (CCF-A)

2024

[1] Qian Guo, Xinyan Liang*, Yuhua Qian*, Zhihua Cui, Jie Wen. A progressive skip reasoning fusion method for multi-modal classification. The 32nd ACM MULTIMEDIA 2024 (ACM MM-24), 2024. Melbourne, Australia, 28 October-1 November, 2024, 429-437. (CCF-A, Oral 录用率3.97%)

[2] Juanjuan Qin, Dong Pei, Qian Guo*, Xingjuan Cai, Liping Xie, Wensheng Zhang. Intersection-union dual-stream cross-attention Lova-SwinUnet for skin cancer hair segmentation and image repair, Computers in Biology and Medicine, 2024, 180:108931. (SCI 2)

博士期间

[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 , 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, 2021,12:3397–3414.

[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, 2022,13:1751–1762.

[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

[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 , 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] 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.

 

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