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于彦伟

职称: 教授 学院: 计算机科学与技术学院 电子邮箱: yuyanwei@ouc.edu.cn 办公室: 西海岸校区信息南楼A329
  • 基本信息
  • 项目
  • 获奖
  • 论文
  • 课程
  • 教材或专著
  • 专利
  • Research Fields
  • Achievement
  • Social Appointments
  • Teaching Experience
  • Honor Title
  • Additional Information
  • 基本信息
    姓名: 于彦伟 出生年月: 1986-02-04 最高学位:博士 入职海大时间: 2019年8月
    主要研究方向:数据挖掘、机器学习、数据库系统 专业技术职务: 导师类别:博士生导师
    年均课时数: 是否第一学科:是
    国内外重要学术组织任职: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
    获得人才称号名称及获得年份:
    其他情况简介: 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。个人主页: https://yuyanwei.github.io

    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
  • 项目
    • 1. 山东省委组织部 泰山学者青年专家 2024/01 ~ 2026/12 主持人
    • 2. 国家自然科学基金面上项目 面向大规模复杂时空数据的表征学习方法及其应用研究 2022/01 ~ 2025/12 主持人
    • 3. 国家自然科学基金面上项目 面向轨迹大数据的语义标注与语义模式挖掘算法研究 2018/01 ~ 2021/12 主持人
    • 4. 国家自然科学基金青年科学基金 时空大数据流分布式异常事件检测技术研究 2015/01 ~ 2017/12 主持人
    • 5. 山东省高等学校科技计划项目 支持公共位置服务的交通大数据实时挖掘与分析关键技术研究 2017/04 ~ 2019/03 主持人
  • 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
  • 论文
    • 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
  • 课程
    • 1. 离散数学I 必修课 4 64
    • 2. 数据库系统原理 必修课 4 64
    • 3. 数据仓库与数据挖掘 选修课 3 48
  • 教材或专著
  • 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
  • 成果转化与社会服务
  • Research Fields
  • Achievement
    • 1. 山东省委组织部 泰山学者青年专家 2024/01 ~ 2026/12 主持人
    • 2. 国家自然科学基金面上项目 面向大规模复杂时空数据的表征学习方法及其应用研究 2022/01 ~ 2025/12 主持人
    • 3. 国家自然科学基金面上项目 面向轨迹大数据的语义标注与语义模式挖掘算法研究 2018/01 ~ 2021/12 主持人
    • 4. 国家自然科学基金青年科学基金 时空大数据流分布式异常事件检测技术研究 2015/01 ~ 2017/12 主持人
    • 5. 山东省高等学校科技计划项目 支持公共位置服务的交通大数据实时挖掘与分析关键技术研究 2017/04 ~ 2019/03 主持人
  • Social Appointments
    • 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
  • Teaching Experience
    • 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
  • Honor Title
    • 1. 离散数学I 必修课 4 64
    • 2. 数据库系统原理 必修课 4 64
    • 3. 数据仓库与数据挖掘 选修课 3 48
  • Additional Information