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 郭韦昱(Weiyu Guo)

邮箱(Email): weiyu.guo@cufe.edu.cn

地址: 北京市昌平区, 沙河高教园, 学院7号313室

研究兴趣
Research Interests

教育经历
Education

工作经历
Occupation

论文
Papers

专利
Patterns

科研项目
Research Projects

研究兴趣(Research Interests ):

  • 人工智能(Artificial intelligence)

    • 可解释/可信的深度学习模型(Interpretable|credible deep learning model)

  • 计算视觉(Computing Vision)

    • 生物特征识别(Biometrics Recognition), 目标检测(Object Detect), 姿态估计(Pose Estimation), 异常检测(Anomaly Detection)

  • 数据挖掘(Data Mining)

    • 中小企业信用评估(Sme credit assessment), 经济策略仿真与建模(Economic strategy simulation and modeling), 个性化推荐(Personalized recommendation)

教育经历(Education):

  • 博士(Phd), 2012.09--2016.07, 中国科学院大学(University of Chinese Academy of Sciences, 原中国科学院研究生院), 计算机应用(Computer Science), 导师: 谭铁牛.

  • 硕士(MS), 2010.09--2012.07, 南京大学(Nanjing University, P.R. China), 软件工程(Software Engineering), 导师: 王金庆.

  • 本科(BS), 2006.09--2010.07, 山西大学(Shanxi University, P.R. China), 计算机科学与技术(Computer Science)&工商管理(Business Administration).

工作经历(Occupation):

  • 副教授(Associate Professor), 2021.12--Now

    • 中央财经大学(Central University of Finance and Economics), 信息学院(Informaiton School).

    讲授课程(Teach courses):

    --人工智能(Artificial Intelligence), 深度学习(Deep Learning), 智能计算(Intelligent Computing), 网络数据采集(Web crawler)等.

  • 讲师(Assistant Professor), 2018.09--2021.11

    • 中央财经大学(Central University of Finance and Economics), 信息学院(Informaiton School).

    讲授课程(Teach courses):

    --人工智能(Artificial Intelligence), 机器学习(Machine Learning), 智能计算, C++, Python等.

  • 博士后(Post Doctor), 2016.08--2018.09

    • 中国科学院自动化研究所(Institute of Automation，Chinese Academy of Sciences), 模式识别国家重点实验室, 导师: 王亮.

    主要工作: 深度神经网络模型加速(Deep neural network acceleration), 图像分割(Image segementation).

论文列表(Paper list):

  • Weiyu Guo*, Zhijiang Yang, Shu Wu, Xiuli Wang, Fu Chen. Explainable enterprise credit rating using deep feature crossing. Expert Systems with Applications, 2023,220:119704. [code], [paper]

  • Shangpeng Yang, Weiyu Guo*, Yuheng Reng. CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting. The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI) , 2022. [code], [paper]

  • Weiyu Guo, Jiabin Ma, Yidong Ouyang, Liang Wang and Yongzhen Huang. Efficient Convolutional Networks Learning through Irregular Convolutional Kernels. Neurocomputing, 2022, 489:167-178. [code], [paper]

  • Ling Tan, Weiyu Guo* and Jinqiu Wang. Workpiece Surface Defect Detection Based on Prototype Network With Blur Pooling. The 40th Chinese Control Conference, 2021.

  • Fu Chen, Yujia Hou, Kun Liu, Wenying Tang, Jianming Zhu and Weiyu Guo. Topic Logistics Based on Node Resource Status. Communications in Computer and Information Science, 2021.

  • Qian Hong, Yue Wang, Huan Li, Yuechen Zhao, Weiyu Guo and Xiuli Wang. Probing Filters to Interpret CNN Semantic Configurations by Occlusion. International Conference of Pioneering Computer Scientists, Engineers and Educators, 2021.

  • Qi Chunqi, Yuechen Zhao, Yue Wang, Yapu Zhao, Qian Hong, Xiuli Wang and Weiyu Guo. Analyzing Interpretability Semantically via CNN Visualization. International Conference of Pioneering Computer Scientists, Engineers and Educators, 2021.

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

  • Weiyu Guo*, Bin Cao and Zhengxing Li. Explainable Enterprise Rating using Attention based Convolutional Neural Network. International Conference on Web Information Systems and Applications(WISA), 2020. [code], [paper]

  • Chen Bing, Wang Xiuli, Wang Yue and Weiyu Guo. An Interpretable Personal Credit Evaluation Model. International Conference of Pioneering Computer Scientists, Engineers and Educators(CCCI), 2020.

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

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

  • Ma JB, Guo Weiyu, Wang W, et al. RotateConv: Making Asymmetric Convolutional Kernels Rotatable. International Conference on Pattern Recognition (ICPR), August 20-24 2018.

  • Shu Wu, Weiyu Guo#, Song Xu, Yongzhen Huang, Liang Wang and Tieniu Tan. Coupled Topic Model for Collaborative Filtering with User-Generated Content. IEEE Transactions on Human-Machine Systems, 2016, 46(6): 908-920. [code], [paper]

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

  • 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), 2015. [code], [paper]

  • Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan. Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback. IEEE/WIC International Conference on Web Intelligence (WI), 2015. [code], [paper]

  • Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan. Multiple Attribute Aware Personalized Ranking. Asia Pacific Web Conference (APWeb), 2015. [code], [paper]

  • 李双红; 李茹; 钟立军; 郭韦昱. 基于多词块的框架元素语义核心词自动识别研究. 中文信息学报, 2010, 24(1).

专利(Patent list):

  • 郭韦昱;李肖;王秀利;王悦.人体骨骼关节点提取模型的训练数据生成方法及装置. 专利(申请)号:202111644931.1.

  • 郭韦昱. 一种信鸽的身份信息分析方法及装置. 专利(申请)号: 201911077259.5.

  • 郭韦昱. 一种信鸽亲缘关系分析方法、装置及存储介质. 专利(申请)号: 201911080418.7.

  • 黄永贞; 郭韦昱; 曹春水. 一种步态信息注册方法、系统及存储介质. 专利(申请)号: 201811303317.7.

  • 黄永贞; 郭韦昱; 曹春水. 一种步态信息识别优化方法、系统及存储介质. 专利(申请)号: 201811302325.X.

  • 黄永贞; 郭韦昱; 曹春水. 一种步态信息识别方法、系统及存储介质. 专利(申请)号: 201811302285.9

  • 黄永贞; 朱益灵; 郭韦昱. 一种图像分割方法及装置. 专利号: 201910020730.0(授权).

  • 黄永贞; 王亮; 郭韦昱. 一种应用于摄像头的人脸识别方法. 专利号: 201810751107.8(授权).

  • 黄永祯; 覃道亮; 郭韦昱. 一种运动姿态评估方法及系统. 专利号: 201711408821.9(授权).

  • 谭铁牛; 王亮; 吴书; 郭韦昱. 基于用户偏好的自适应采样方法. 专利号: 201610041393.X(授权).

项目(Projects|RFDP):

  • 国家自然科学基金, 青年基金项目, 62106290, 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.
  • 中国计算机学会, 信息系统开放课题, 基于深度神经网络的公司信用违约预测模型及模型的可理解性研究, 2019/11-2022/10, 主持.
  • 国家自然科学基金, 面上基金项目, 61772528, 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.
  • 国家自然科学基金, 青年科学项目, 61403390, 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.
  • 国家自然科学基金, 青年科学项目, 61100109, 基于条件随机场理论的非模态输入草图实时解析研究, 参加.