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郭韦昱

[发表时间]:2022-01-14 [来源]:十大菠菜软件 [浏览次数]:

详细信息见个人主页

基本信息:

一、教育经历

l 2012/09-2016/06,中国科学院大学,计算机应用,博士.

l 2010/09-2012/06,南京大学,软件工程,硕士.

l 2006/09-2010/06,山西大学,计算机科学与技术&工商管理,本科.


二、工作经历

l 2021/12-至今,十大菠菜软件,十大菠菜软件,副教授.

l 2018/09-2021/11,十大菠菜软件,十大菠菜软件,讲师.

l 2016/07-2018/09,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

l Weiyu Guo, Zhijiang Yang(员工), Shu Wu, Xiuli Wang, Fu Chen. Explainable enterprise credit rating using deep feature crossing. Expert Systems with Applications, 2023, 119704.

l Shaopeng 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.

l Weiyu Guo, Jiabin Ma, Yidong Ouyang(员工), Liang Wang, Yongzhen Huang. Efficient convolutional networks learning through irregular convolutional kernels. Neurocomputing, 2022, 489: 167-178.

l Shan Wang(员工), Yue Wang, Qilong Zhao(员工), Zhijiang Yang(员工), Weiyu Guo, Xiuli Wang. Exploring Classification Capability of CNN Features. International Conference of Pioneering Computer Scientists, Engineers and Educators(ICPCSEE 2021). 2021.

l Qian Hong(员工), Yue Wang, Huan Li(员工), Yuechen Zhao(员工), 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.

l Chunqi Qi(员工), Yuechen Zhao(员工), Yue Wang, Yapu Zhao(员工), Qian Hong(员工), Xiuli Wang, Weiyu Guo. Analyzing interpretability semantically via CNN visualization. International Conference of Pioneering Computer Scientists, Engineers and Educators(ICPCSEE 2021). 2021.

l Ling Tan(员工), Weiyu Guo, JingQiu Wang. Workpiece Surface Defect Detection Based on Prototype Network With Blur Pooling. 2021 40th Chinese Control Conference (CCC21), 2021.

l Weiyu Guo, Bin Cao and Zhenxing Li, Explainable Enterprise Rating Using Attention Based Convolutional Neural Network. Web Information Systems and Applications, 2020.

l Bing Chen(员工), Xiuli Wang*, Yue Wang and Weiyu Guo, An Interpretable Personal Credit Evaluation Model. Data Science - 6th International Conference of Pioneering Computer, 2020.

l Fu Chen, Huoyu Jia(员工), Kun Liu(员工), Wenying Tang, Jianming Zhu and Weiyu Guo. A New Attack Method for Malicious Nodes in Tangle Network. IEEE International Conference on Smart Cloud, 2020.

l Fu Chen, Yujia Huo(员工), Kun Liu(员工), Wenying Tang, Jianming Zhu, Weiyu Guo. Topic Logistics Based on Node Resource Status. CyberDI/CyberLife, 2020.

l Xinhui Wu(员工), Weizhi An(员工), Shiqi Yu, Weiyu Guo and Edel B. García Reyes, Spatial-Temporal Graph Attention Network for Video-Based Gait Recognition. Pattern Recognition - 5th Asian Conference, 2019.

l Jiabin Ma, Weiyu Guo, Wei Wang and Liang Wang*, RotateConv: Making Asymmetric Convolutional Kernels Rotatable, International Conference on Pattern Recognition(ICPR), 2018.

l Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, Personalized Ranking with Pairwise Factorization Machines. Neurocomputing, 2016, 214: 191-200.

l Shu 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.

l Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, Social-relational topic model for social networks. ACM International Conference on Information and Knowledge Management(CIKM-15), 2015.

l Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback. International Conference on Web Intelligence(WI-15), Singapore, 2015.

l Weiyu 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. 授权.

l 一种图像分割方法及装置,CN201910020730.0. 授权

l 一种应用于摄像头的人脸识别方法, CN201810751107.8. 授权.

l 一种基于用户偏好的自适应采样方法, CN201610041393.X. 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 国防科技创新特区项目,基于知识的可解释人工智能——基于决策树的深度神经网络层级可解释模型研究,2019/09-2021/12,参加.

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、指导员工获奖

l 2022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



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