基本信息：
一、教育经历
l2012/09-2016/06，中国科学院大学，计算机应用，博士.
l2010/09-2012/06，南京大学，软件工程，硕士.
l2006/09-2010/06，山西大学，计算机科学与技术&工商管理，本科.
二、工作经历
l2021/12-至今，中央财经大学，永利总站ylzz55，副教授.
l2018/09-2021/11，中央财经大学，永利总站ylzz55，讲师.
l2016/07-2018/09，中国科学院自动化研究所，模式识别国家重点实验室，博士后.
三、研究方向
l人工智能（可解释/可信的深度学习）
l金融科技（中小企业信用评估、经济对抗策略仿真与建模、个性化推荐）
l计算机视觉（异常检测、生物特征识别）
四、讲授课程
《人工智能》、《智能计算系统》、《网络数据采集》、《机器学习与数据挖掘》、《深度学习》等.
五、研究成果
1.近期论文
lWeiyu Guo,Zhijiang Yang(学生),Shu Wu, Xiuli Wang, Fu Chen.Explainable enterprise credit rating using deep feature crossing.Expert Systems with Applications, 2023,119704.
lShaopeng Yang,Weiyu Guo,Yuheng Ren. CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence(IJCAI-22), 2022.
lWeiyu Guo,Jiabin Ma, Yidong Ouyang(学生), Liang Wang, Yongzhen Huang. Efficient convolutional networks learning through irregular convolutional kernels.Neurocomputing, 2022,489:167-178.
lShan Wang(学生), Yue Wang, Qilong Zhao(学生), Zhijiang Yang(学生),Weiyu Guo, Xiuli Wang.Exploring Classification Capability of CNN Features.International Conference of Pioneering Computer Scientists, Engineers and Educators(ICPCSEE 2021). 2021.
lQian Hong(学生), Yue Wang, Huan Li(学生), Yuechen Zhao(学生),Weiyu Guo, Xiuli Wang.Probing filters to interpret CNN semantic configurations by occlusion.International Conference of Pioneering Computer Scientists, Engineers and Educators(ICPCSEE 2021). 2021.
lChunqi Qi(学生), Yuechen Zhao(学生), Yue Wang, Yapu Zhao(学生), Qian Hong(学生), Xiuli Wang,Weiyu Guo.Analyzing interpretability semantically via CNN visualization.International Conference of Pioneering Computer Scientists, Engineers and Educators(ICPCSEE 2021). 2021.
lLing Tan(学生),Weiyu Guo, JingQiu Wang.Workpiece Surface Defect Detection Based on Prototype Network With Blur Pooling.2021 40th Chinese Control Conference (CCC21), 2021.
lWeiyu Guo, Bin Cao and Zhenxing Li, Explainable Enterprise Rating Using Attention Based Convolutional Neural Network. Web Information Systems and Applications, 2020.
lBing Chen(学生), Xiuli Wang*, Yue Wang andWeiyu Guo, An Interpretable Personal Credit Evaluation Model. Data Science - 6th International Conference of Pioneering Computer, 2020.
lFu Chen, Huoyu Jia(学生), Kun Liu(学生), Wenying Tang, Jianming Zhu andWeiyu Guo.A New Attack Method for Malicious Nodes in Tangle Network. IEEE International Conference on Smart Cloud, 2020.
lFu Chen, Yujia Huo(学生), Kun Liu(学生), Wenying Tang, Jianming Zhu,Weiyu Guo.Topic Logistics Based on Node Resource Status.CyberDI/CyberLife,2020.
lXinhui Wu(学生), Weizhi An(学生), Shiqi Yu,Weiyu Guoand Edel B. García Reyes, Spatial-Temporal Graph Attention Network for Video-Based Gait Recognition. Pattern Recognition - 5th Asian Conference, 2019.
lJiabin Ma,WeiyuGuo,Wei WangandLiang Wang*, RotateConv: Making Asymmetric Convolutional Kernels Rotatable,International Conference onPatternRecognition(ICPR),2018.
lWeiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, Personalized Ranking with Pairwise Factorization Machines.Neurocomputing, 2016, 214: 191-200.
lShu Wu,Weiyu Guo, Song Xu, Yongzhen Huang and Liang Wang, Coupled Topic Model for Collaborative Filtering With User-Generated Content.IEEE Transactions on human-machine systems, 2016, 46(6): 908-920.
lWeiyu Guo, Shu Wu,Liang Wang and Tieniu Tan, Social-relational topic model for social networks.ACM International Conference on Information and KnowledgeManagement(CIKM-15), 2015.
lWeiyu Guo, Shu Wu,Liang WangandTieniu Tan,Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback.International Conference on Web Intelligence(WI-15), Singapore,2015.
lWeiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, Multiple Attribute Aware Personalized Ranking.Asia-Pacific Web Conference(APWeb-15), 2015.
2.专利
l人体骨骼关节点提取模型的训练数据生成方法及装置，CN202111644931.1。
l一种信鸽的身份信息分析方法及装置，CN201911077259.5.
l一种信鸽亲缘关系分析方法、装置及存储介质，CN201911080418.7.
l一种运动姿态评估方法及系统, CN201711408821.9.已授权.
l一种图像分割方法及装置，CN201910020730.0.已授权
l一种应用于摄像头的人脸识别方法,CN201810751107.8.已授权.
l一种基于用户偏好的自适应采样方法, CN201610041393.X.已授权
3、项目
l国家自然科学基金青年基金项目，基于深度学习的中小企业可解释性信用评估关键技术研究，2022/01-2024/12，主持.
l国家自然科学基金面上项目, 基于区块链的数据交易安全模型及关键技术研究，2021/01-2024/12, 参加.
l国家自然科学基金委面上基金项目, 融合实体特征和序列信息的用户行为建模方法研究, 2018/01-2021/12, 参加.
l国家自然科学基金委青年科学项目，融合实体和交互上下文信息的社会化推荐方法研究，2015/01-2017/12，参加.
六、指导学生获奖
l2022年北京市普通高等学校优秀本科生毕业设计(论文)(杨智江，2018级)
联系方式
Email:weiyu.guo@cufe.edu.cn
详细信息见个人主页：https://weyne168.github.io/
