职称：讲师/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8366银河娱乐官网app下载楼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-至今，重庆大学8366银河娱乐官网app下载，讲师
研究课题：
[7]国家自然科学基金，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
[6]重庆市自然科学基金，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
[5]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
[4]中央高校基本科研业务费“前沿交叉研究专项”重点项目，颗粒偏析行为的尺度效应，2020.9-2023.8，项目骨干
[3]国家重点基础研究发展计划（973计划）课题，三元空间群智计算，2015CB352302，2015.1-2019.11，参加
[2]国家自然科学基金委国家杰出青年科学基金，多媒体分析，61625107，2017.1-2021.12，参加
[1]国家自然科学基金委-浙江两化融合联合基金重点支持项目，城市智慧安监的相关基础理论和视觉分析技术, U1509206，2016.1 -2019.12，参加
课题指导：
重庆大学，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，指导老师。
重庆大学，大学生创新创业训练计划项目（SRTP）,基于图神经网络的多行为推荐算法研究，2022.3-2022.12，指导老师。
重庆大学，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，指导老师
科研论文(*为通讯作者)：
[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 Q2，CCF 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)
