王悦阳

24/02/21 13:33:08 作者: 点击:[] [小] [中] [大]

4256F职称:副教授/硕导

研究方向:人工智能、数据挖掘、社交网络挖掘、深度学习等

邮箱:yueyangw@cqu.edu.cn

地址:重庆市沙坪坝区大学城南路55号大数据与软件学院楼305室


目前正招硕士生、本科实习生,欢迎邮件咨询!


教育及工作经历:

2009.9-2013.6,南京大学软件学院,获工学学士学位

2013.9-2019.6,浙江大学计算机学院,获工学博士学位

2019.7-2023.9,重庆大学大数据与软件学院,讲师

2023.9-至今,重庆大学大数据与软件学院,副教授


研究课题(部分):

[5]国家自然科学基金(面上),面向复杂装备运行状态预测的网络表示学习方法研究,2024.1-2027.12,主持

[4]国家自然科学基金(青年),面向社会网络的动态异构属性网络表示学习研究,2021.1-2023.12,主持

[3]重庆市自然科学基金(面上),动态图表示学习及其在金融欺诈检测中的应用,2023.7-2026.6 主持

[2]重庆市自然科学基金(博后),基于多视图信息网络表示学习的个性化推荐方法研究,2020.9-2022.8 主持

[1]国家重点研发计划,高置信城市信-物融合系统关键技术研发与应用,2020.1-2022.12,项目骨干


本科生课程:

  • 《机器学习


课题指导(部分):

  • 第十五届国家级大学生创新训练项目,基于图神经网络的多元时间序列预测算法研究,2021.6-2022.6

  • 第七届重庆市大学生创新训练项目,基于图神经网络的社会事件检测算法研究,2022.6-2023.6

  • 第八届重庆市大学生创新训练项目,基于动态图表示学习方法的金融欺诈检测算法研究,2023.6-2024.6

  • 第八届重庆市大学生创新训练项目,基于时间衰减图神经网络的多元时间序列预测算法研究,2023.6-2024.6(论文在IJCNN上发表)


科研论文(*为通讯作者):

[17][J]Chaoli Lou, Yueyang Wang*, Jianing Li, Yueru Qian, Xiuhua Li. Graph Neural Network for Fraud Detection via Context Encoding and Adaptive Aggregation. Expert Systems With Applications, 2025. (JCR Q1, 中科院1区Top期刊,CCF C,IF=7.5

[16][J]Zhenyu Liu, Mingjie Hou, Guodong Sa, Yueyang Wang, Xiaopeng Xin, Jianrong Tan. Gas Turbine Multi-Working Conditions Identification and Performance Prediction Based on Deep Learning and Knowledge. Energy, 2024: 133011.(JCR Q1, 中科院1区Top期刊,IF=9)

[15][C]Yi Luo, Baoyi Wang, Yutong Luo, Ruijuan Yin,Yueyang Wang*,Qingyu Xiong. Time-Decay Dynamic Graph Neural Network for Multivariate Time Series Forecasting[C]//2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024: 1-8.(CCF C)

[14][J]Ziheng Duan, Haoyan Xu, Yueyang Wang*, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang. “Multivariate Time Series Classification with Hierarchical Variational Graph Pooling” Neural Networks, 2022. (JCR Q1, CCF B, IF=9.657)

[13][J]Ziheng Duan, Yueyang Wang*, Weihao Ye, Qilin Fan, Xiuhua Li. “Connecting Latent Relationships over Heterogeneous Attributed Network for Recommendation” Applied Intelligence, 2022.(JCR Q2, CCF C, IF=5.086

[12][J]Yueyang Wang*, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren. “MTHetGNN:A heterogeneous graph embedding framework for multivariate times series forecasting” Pattern Recognition Letters, 2022. (JCR Q2, CCF C, IF=3.756)

[11][J]Ziheng Duan, Haoyan Xu, Yida Huang, Jie Feng, Yueyang Wang*. “Multivariate Time Series Forecasting with Transfer Entropy Graph”Tsinghua Science and Technology, 2021. (JCR Q2, IF=3.515)

[10][J]Haoyan Xu, Ziheng Duan, Yueyang Wang*, Jie Feng, Runjian Chen,Qianru Zhang, Zhongbin Xu. “Graph Partitioning and Graph Neural Network based Hierachical Graph Matching for Graph Similarity Computation”Neurocomputing, 2021. (JCR Q1, CCF C, IF=4.438

[9][J]Jun Song, Yueyang Wang*,Siliang Tang, Yin Zhang, Zhigang Chen, Zhongfei(Mark) Zhang, Tong Zhang, Fei Wu. “Local-Global Memory Neural Network for Medication Prediction.”IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (JCR Q1, CCF B, IF=10.451)

[8][J]Liang Hu, Zhenyu Liu*, Weifei Hu, Yueyang Wang, Jianrong Tan, Fei Wu.“Petri-net-based Dynamic Scheduling of Flexible Manufacturing System via Deep Reinforcement Learning with Graph Convolutional Network.” Journal of Manufacturing Systems (JMS), 2020. (JCR Q1, IF=3.642)

[7][J]Qilin Fan, Xiuhua Li, Sen Wang, Shu Fu, Yueyang Wang. “NA-Caching: An Adaptive Content Management Approach Based on Deep Reinforcement Learning”, IEEE Access, 2019,7(1):152014-152022. (JCR Q1, IF=4.098)

[6][C]Yueyang Wang*, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang. “Heterogeneous Attributed Network Embedding with Graph Convolutional Networks.” Association for the Advancement of Artificial Intelligence (AAAI) 2019.(CCF A

[5][J]Yueyang Wang*, Weihao Jiang, Shiliang Pu, Yueting Zhuang. “Learning Embeddings of Heterogeneous Behavior Network for Potential Behavior Prediction.” Frontiers of Information Technology & Electronic Engineering (FITEE), 2020 (JCR Q2, IF=2.161)

[4][C]Yueyang Wang*, Liang Hu, Yueting Zhuang, Fei Wu. “Intra-view and Inter-view Attention for Multi-view Network Embedding.” Pacific-Rim Conference on Multimedia (PCM) 2018.(CCF C

[3][J]Yueyang Wang*, Yuanfang Xia, Siliang Tang, Fei Wu, Yueting Zhuang. “Flickr Group Recommendation with Auxiliary Information in Heterogeneous Information Networks.” Multimedia Systems, (MMSJ) 2017, 23(6):703-712. (JCR Q2CCF C,IF=1.956)

[2][C]Yueyang Wang*, Yuanfang Xia, Siliang Tang, Fei Wu, Yueting Zhuang. “Flickr group recommendation via heterogeneous information networks.” Proceedings of the 7th International Conference on Internet Multimedia Computing and Service (ICIMCS) ACM, 2015: 20.(EI)

[1][C]Jun Song,Yueyang Wang, Fei Wu*, Weiming Lu, Siliang Tang, Yueting Zhuang. “Multi-modal Retrieval via Deep Textual-visual Correlation Learning.” International Conference on Intelligent Science and Big Data Engineering (IScIDE) Springer, Cham, 2015: 176-185.(EI)



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