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个人简介

中国海洋大学信息科学与工程学部教授,博士生导师,泰山学者青年专家,中国海洋大学“青年英才工程”第一层次入选者。博士毕业于北京科技大学计算机与通信工程学院,导师为王沁教授,曾于2012年9月-2013年9月赴美国伍斯特理工学院进行为期一年的博士联合培养,导师为Elke Rundensteiner教授,2016年11月-2018年9月在美国宾夕法尼亚州立大学从事博士后研究,合作导师为Zhenhui Jessie Li教授。曾于2014年3月-2019年7月在烟台大学工作,2019年8月加入中国海洋大学。 主要研究方向为数据挖掘、机器学习、分布式计算以及数据库系统。在ACM TODS、TOIS、TKDD、IEEE TBD、KDD、WWW、UbiComp、AAAI、IJCAI、ICDE、CIKM等国际高水平期刊和会议上发表论文60余篇,其中中国计算机学会A/B类推荐期刊/会议、ACM/IEEE汇刊、中科院一区Top期刊论文40余篇。主持国家自然科学基金项目3项,包括青年项目1项、面上项目2项,参与多项国家自然科学基金、山东省自然科学基金、山东省重点研发计划项目等。 工作经历: * 2022/10-今,中国海洋大学,教授,博士生导师 * 2019/08-2022/09,中国海洋大学,副教授,硕士生导师 * 2018/09-2019/07,烟台大学,副教授,硕士生导师 * 2016/11-2018/09,宾夕法尼亚州立大学,博士后 * 2014/03-2018/08,烟台大学,讲师,硕士生导师 获奖 1. 2019, 山东省科学技术进步奖, 二等奖, 6/9 2. 2017, 山东省高等学校科学技术奖, 三等奖, 1/1 3. 2021, 山东省自然科学奖, 三等奖, 3/4 4. 2022, 山东人工智能自然科学奖, 二等奖, 1/4 专利 1. 一种分布式数据流中基于数据分布的负载均衡分发方法, 2021.03.19, 发明专利, 第一发明人 2. 基于多层异质属性网络表征学习的个性化商品推荐方法及系统, 2022.06.10, 发明专利, 第一发明人 3. 基于GCN和注意力VAE的时序异常检测方法及系统, 2022.11.11, 发明专利, 第一发明人 4. 基于动态多视图图神经网络的城市交通车流量推理方法, 2022.11.29, 发明专利, 第一发明人

研究领域

数据挖掘 机器学习 分布式计算 数据库系统

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1. Shuzhe Li#, Wei Chen#, Bin Wang, Chao Huang, Yanwei Yu*, Junyu Dong. MCN4Rec: Multi-Level Collaborative Neural Network for Next Location Recommendation , ACM Transactions on Information Systems (TOIS), 2024 (CCF A, Online) , 通讯作者 2. Wei Chen#, Chao Huang, Yanwei Yu*, Yongguo Jiang, Junyu Dong. Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks , ACM Transactions on Knowledge Discovery from Data (TKDD), 2023 (CCF B, Online) , 通讯作者 3. Chaofan Fu#, Guanjie Zheng, Chao Huang, Yanwei Yu*, Junyu Dong. Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling , Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), August 6–10, 2023, Long Beach, CA, USA. (CCF A, 接收率=313/1416=22.1%) , 通讯作者 4. Yunfei Shi#, Bin Wang, Yanwei Yu*, Xianfeng Tang, Chao Huang, Junyu Dong. Robust Anomaly Detection for Multivariate Time Series through Temporal GCNs and Attention-based VAE , Knowledge-Based Systems, 2023 (中科院一区Top期刊, CCF C) , 通讯作者 5. Guangming Qin#, Lexue Song#, Yanwei Yu*, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong, Graph Structure Learning on User Mobility Data for Social Relationship Inference , Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), February 7–14, 2023, Washington DC, USA. (CCF A) , 通讯作者 6. Shaojie Dai#, Jinshuai Wang#, Chao Huang, Yanwei Yu*, Junyu Dong. Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference , ACM Transactions on Knowledge Discovery from Data (TKDD), 2022 (CCF B, accepted) , 通讯作者 7. Kai Wang#, Yanwei Yu*, Chao Huang, Zhongying Zhao, Junyu Dong. Heterogeneous Graph Neural Network for Attribute Completion , Knowledge-Based Systems. 2022. (中科院一区Top期刊) , 通讯作者 8. Pengyang Yu#, Chaofan Fu#, Yanwei Yu*, Chao Huang, Zhongying Zhao, Junyu Dong, Multiplex Heterogeneous Graph Convolutional Network , Proceedings of 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022),August 14-18, 2022, Washington DC, USA. (CCF A) , 通讯作者 9. Wei Chen#, Shuzhe Li#, Chao Huang, Yanwei Yu*, Yongguo Jiang, Junyu Dong. Mutual Distillation Learning Network for Trajectory-User Linking , Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), July 23-29, 2022, Messe Wien, Vienna, Austria. (CCF A) , 通讯作者 10. Zhongqiang Gao#, Chuanqi Cheng#, Yanwei Yu*, Lei Cao, Chao Huang, Junyu Dong. Scalable Motif Counting for Large-scale Temporal Graphs , Proceedings of 38th IEEE International Conference on Data Engineering (ICDE 2022), May 9th-12th, 2022, Kuala Lumpur, Malaysia. (CCF A) , 通讯作者 11. Shaojie Dai#, Jinshuai Wang#, Chao Huang, Yanwei Yu*, Junyu Dong. Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference , Proceedings of 21st IEEE International Conference on Data Mining (ICDM 2021), December 07–10, 2021, Auckland, New Zealand, 2021 (CCF B) , 通讯作者 12. Zhijun Liu#, Chao Huang, Yanwei Yu*, Junyu Dong. Motif-Preserving Dynamic Attributed Network Embedding , Proceedings of the Web Conference 2021 (WWW2021), Apirl 19–23, 2021, Virtual Event, Ljubljana, Slovenia, 2021 (CCF A) , 通讯作者 13. Shaojie Dai#, Jinshuai Wang#, Chao Huang, Yanwei Yu*, Junyu Dong. Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference , Proceedings of 21st IEEE International Conference on Data Mining (ICDM2021), December 07–10, 2021, Auckland, New Zealand, 2021 (CCF B) , 通讯作者 14. Shaojie Dai#, Yanwei Yu*, Hao Fan, Junyu Dong. Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Ties , The 26th International Conference on Database System for Advanced Applications (DASFAA2021), Apirl 11-14, 2021, Taipei, China, 2021 (CCF B) , 通讯作者 15. Zhijun Liu#, Chao Huang, Yanwei Yu*, Baode Fan, Junyu Dong. Fast Attributed Multiplex Heterogeneous Network Embedding , Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020), October 19–23, 2020, Virtual Event, Ireland, 2020 (CCF B) , 通讯作者 16. Zhijun Liu#, Chao Huang, Yanwei Yu*, Peng Song, Baode Fan, Junyu Dong. Dynamic Representation Learning for Large-Scale Attributed Networks , Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020), October 19–23, 2020, Virtual Event, Ireland, 2020 (CCF B) , 通讯作者 17. Fang Liu#, Yanwei Yu*, Peng Song, Yangyang Fan, Xiangrong Tong. Scalable KDE-based Top-n Local Outlier Detection over Large-Scale Data Streams , Knowledge-Based Systems, 2020, 204: 106186 (中科院SCI一区Top期刊, CCF C) , 通讯作者 18. Kai Chen#, Yanwei Yu*, Peng Song, Xianfeng Tang, Lei Cao, Xiangrong Tong. Find You If You Drive: Inferring Home Locations for Vehicles with Surveillance Camera Data , Knowledge-Based Systems, 2020, 204: 106186 (中科院SCI一区Top期刊, CCF C) , 通讯作者 19. Peng Lv#, Yanwei Yu*, Yangyang Fan, Xianfeng Tang, Xiangrong Tong. Layer-constrained Variational Autoencoding Kernel Density Estimation Model for Anomaly Detection , Knowledge-Based Systems, 2020, 204: 106186 (中科院SCI一区Top期刊, CCF C) , 通讯作者 20. Yanwei Yu*, Peng Lv#, Xiangrong Tong, Junyu Dong. Anomaly Detection in High-dimensional Data Based on Autoregressive Flow , 25th International Conference on Database System for Advanced Applications (DASFAA 2020), Jeju, South Korea, 2020 (CCF B) , 第一作者 21. Yanwei Yu*, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li. Citywide Traffic Volume Inference with Surveillance Camera Records. , IEEE Transactions on Big Data. 2019. (中科院SCI一区,CCF C) , 第一作者 22. Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang. Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference , Proceeding of The Web Conference 2019 (WWW 2019), San Francisco, CA, May 2019. (CCF A) 23. Yanwei Yu*, Hongjian Wang, Zhenhui Li. Inferring Mobility Relationship via Graph embedding. , The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018), Singapore, 2018 (CCF A) , 第一作者 24. Yanwei Yu*, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li. Representation Learning for Large-scale Dynamic Networks , 23rd International Conference on Database System for Advanced Applications (DASFAA 2018), Gold Coast, Australia, 2018 (CCF B) , 第一作者 25. Lihong Wang, Qiang Li, Yanwei Yu*, Jinglei Liu. Region Compatibility based Stability Assessment for Decision Trees , Expert Systems with Applications. 2018, 105:112-128. (中科院SCI一区Top期刊,CCF C) , 通讯作者 26. Yanwei Yu, Lei Cao, Elke Rundensteiner, Qin Wang. Outlier Detection over Massive-Scale Trajectory Streams , ACM Transactions on Database Systems. Volume 42, Issue 2, Article 10, April 2017, 33 pages. (CCF A) , 第一作者 27. Ruoshan Lan#, Yanwei Yu*, Lei Cao, Peng Song, Yingjie Wang. Discovering Moving Object Evolving Groups from Massive Trajectory Streams , International Conference on Mobile Data Management (MDM 2017). Daejeon, South Korea, 2017 (CCF C) , 通讯作者 28. Yanwei Yu, Lei Cao, Elke Rundensteiner, Qin Wang. Detecting Moving Object Outliers in Massive-Scale Trajectory Streams , 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014). New York. Page(s). 422-431 (CCF A) , 第一作者 29. 刘芳#, 齐建鹏#, 于彦伟*, 曹磊,赵金东. 基于密度的Top-n局部异常点快速检测算法 , 自动化学报. 2019, 45(9):1756-1771. (CCF A中文期刊) , 通讯作者 30. 于彦伟*, 贾兆飞#, 曹磊, 赵金东, 刘兆伟, 刘惊雷. 面向位置大数据的快速密度聚类算法 , 软件学报. 2018, 29(8):2470-2484. (CCF A中文期刊) , 第一作者 31. 于彦伟, 王欢, 王沁, 赵金东. 面向海量数据流的基于密度的簇结构挖掘算法 , 软件学报, 2015, 26(5): 1113−1128. (CCF A中文期刊) , 第一作者

学术兼职

山东省人工智能学会常务理事 中国人工智能学会智能服务专委会委员 中国计算机学会人工智能与模式识别专委会执行委员 中国计算机学会大数据专家委员会执行委员 中国计算机学会服务计算专委会执行委员

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