一、个人简介

    郭倩，博士，副教授，硕士生导师，从事多模态融合、逻辑学习等相关领域的科研工作。近年来，在TPAMI、TEVC、ICML、ACM MM等顶级期刊或会议发表论文三十余篇，主持国家自然科学基金青年项目、山西省基础研究计划项目、智能信息处理山西重点实验室开放课题等项目；授权国家发明专利2项。

电子邮箱：czguoqian@163.com

二、学习及工作简历

学习简历：

2010.09-2014.06 山西大学计算机科学与技术专业，学士；

2014.09-2016.06 山西大学软件工程专业，硕士（保送）；

2016.09-2022.06 山西大学计算机科学与技术专业，博士（硕博连读）；

2017.08-2018.05 香港大学物理系，Research Assistant；

工作简历：

2022.07至2025.11太阳集团网tyc9728，讲师

2025.12至今 太阳集团网tyc9728，副教授

三、主讲课程

本科生：面向对象程序设计（JAVA）、离散数学；

硕士生：多模态数据融合技术；

四、招生信息

课题组科研氛围浓厚、软硬件支撑完备（8卡4090等），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。在这里，等待志同道合的你，双向奔赴！

五、学术兼职

SCI期刊《International Journal of Computing Science and Mathematics》副编辑

CCF A类会议ICML、AAAI、ACM MM等审稿人

SCI期刊《Neural Networks》《Current Medical Imaging》等审稿人

六、科研项目

1. 国家自然科学基金委员会, 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, 2025.01-2027.12, 30万元, 主持.

2. 山西省科技厅, 山西省基础研究计划青年项目, 序列逻辑学习, 202203021222183, 2023.01-2025.12, 5万元, 主持.（已结题，优秀）

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.

4. 山西省教育厅, 山西省高等学校科技创新计划项目, 面向序列的逻辑学习研究, 2022L296, 2022.08-2024.08, 2万元, 主持. （已结题）

5. 来晋工作优秀博士奖励资金, 基于归因技术的序列逻辑学习研究, 20232029, 2023.06-2026.05, 5万元, 主持.

6. 9728太阳集团博士科研启动基金, 面向序列逻辑的内隐逻辑模式研究, 20222106, 2022.07-2025.07, 30万元, 主持.

七、学术论文：

2026

[1] Li Lv, Qian Guo, Li Zhang, Liang Du, Bingbing Jiang, Lu Chen, Xinyan Liang*. Uncertainty-guided view-strength-aware feature utilization for multi-view classification. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence, 2026. (CCF-A, Oral)

[2] Li Zhang, Pinhan Fu, Li Lv, Qian Guo, Liang Du, Xinyan Liang*. voFMVC: Trusted federated multi-view clustering with evolutionary fusion. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence, 2026. (CCF-A, Oral)

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. doi:10.1109/TETCI.2025.3631720. (SCI 2区)

[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)

[4] Qian Guo, Xinyan Liang*, Zhihua Cui, Junyan Wang, Zhaoyi Wu. Mixed attribute reduction in limited labeled data: a local neighborhood rough set approach[J]. International Journal of Machine Learning and Cybernetics, 2025, 16, 9697–9715.

[5] Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu. Trusted multi-view classification via evolutionary multi-view fusion[C]//Proceedings of the 13th International Conference on Learning Representations, Singapore EXPO, Apr. 24-28, 2025. (CCF-A)

[6] Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du. Robust automatic modulation classification with fuzzy regularization[C]//Proceedings of the Forty-second International Conference on Machine Learning, Vancouver, Canada, Jul. 13-19, 2025, 267:37396-37408. (CCF-A, spotlight, 2.6%)

[7] Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li. Trusted multi-view classification with expert knowledge constraints[C]//Proceedings of the Forty-second International Conference on Machine Learning, Vancouver, Canada, Jul. 13-19, 2025,267:37409-37426. (CCF-A, spotlight, 2.6%)

[8] Xinyan Liang, Shuai Li, Qian Guo, Yuhua Qian, Bingbing Jiang, Tingjin Luo, Liang Du. Evolutionary multi-view classification via eliminating individual fitness bias[C]//Proceedings of the Thirty-ninth Annual Conference on Neural Information Processing Systems, San Diego, United States, Dec. 2-7, 2025. (CCF-A, spotlight, 3.19%)

[9] Xinyan Liang, Yuhua Qian, Qian Guo, Keyin Zheng. A data representation method using distance correlation[J]. Frontiers of Computer Science, 2025,19(1):191303. (CCF-B)

[10] Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Yayu Zhang, Qin Huang. Multi-scale features are effective for multi-modal classification: An architecture search viewpoint[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35(2):1070-1083. (SCI 1区)

[11] Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhiyan Yuan, Xinyan Liang*. An association-based fusion method for speech enhancement[C]//Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, Montreal, Canada, Aug. 16-22, 2025:6406-6414. (CCF-A)

[12] Huihui Yan, Zhihua Cui*, Haotian Zhao, Jingbo Zhang, Juanjuan Qin, Qian Guo*. The multi-scale depth-separable convolution network for fire and smoke detection[J]. Combustion Science and Technology, 2025, 197(17): 4577-4601.

2024

[1] Qian Guo, Xinyan Liang*, Yuhua Qian*, Zhihua Cui, Jie Wen. A progressive skip reasoning fusion method for multi-modal classification[C]//Proceedings of the ACM MULTIMEDIA, Melbourne, Australia, Oct. 28-Nov. 1, 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[J]. Computers in Biology and Medicine, 2024, 180:108931. (SCI 2区)

[3] Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian. DC-NAS: Divide-and-conquer neural architecture search for multi-modal classification[C]//Proceedings of the 38th AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 20-27, 2024, 38(12):13754-13762. (CCF-A Oral)

[4] Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian. Core-structures-guided multi-modal classification neural architecture search[C]//Proceedings of the 33rd International Joint Conference on Artificial Intelligence, Jeju, South Korea, Aug. 3-9, 2024:3980-3988. (CCF-A)

[5] Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Zhifang Wei, Wen Li. CoMO-NAS: Core-structures-guided multi-objective neural architecture search for multi-modal classification[C]//Proceedings of the ACM MULTIMEDIA, Melbourne, Australia, Oct. 28-Nov. 1, 2024:9126-9135. (CCF-A)

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[J]. 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[J]. 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[J]. 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[J]. 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[J]. 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.

[8] Xinyan Liang, Yuhua Qian*, Qian Guo, Honghong Cheng, Jiye Liang. AF: An association-based fusion method for multi-modal classification[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022,44(12): 9236-9254. (CCF-A, SCI一区Top)

[9] Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang. Local multigranulation decision-theoretic rough sets[J]. International Journal of Approximate Reasoning, 2017,82:119-137. (CCF-B)

[10] 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)

[11] Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang. Local neighborhood rough set. Knowledge-Based Systems(KBS), 2018,153:53-64. (SCI一区)

[12] 梁新彦, 钱宇华*, 郭倩, 黄琴.多粒度融合驱动的超多视图分类方法. 计算机研究与发展, 2022, 59(8):1653-1667.

八、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

九、专著：

郭倩, 视觉逻辑学习研究, 哈尔滨工业大学出版社, 2024.

十、指导（含协助指导）研究生

2025级：郭佳伟、李昊、王睿杰

2024级：苏全琛、任玲娜、黄铭辉、武钊儀、左高辉

2023级：孙时武

2022级：平佳彬

2021级：燕惠惠、秦娟娟、裴东