cl_zju.jpg

Lu Chen

Professor, Doctoral supervisor
Multidata Lab
College of Computer Science, Zhejiang University
Campus homepage

Contact Information:
Room 402, Zetong Building, Zhejiang University, Hangzhou, China
Email: luchen@zju.edu.cn

Education Background

  • Professor in Zhejiang University, Hangzhou, 2020 - present.

  • Assistant Professor in Aalborg University, Denmark, 2017 - 2019.

  • Postdoctor in Nanyang Technological University, Singapore, 2016 - 2017.

  • Ph.D. in Computer Science, Zhejiang University, Hangzhou, 2016.

Research Interests

  • Database, Big data processing

  • Metric spatial data management

  • Spatio-temporal data management

  • Query availability analysis

Selected Publications

Full publication lists...

[Book]
  • Data Management in Metric Spaces.
    Yunjun Gao and Lu Chen.
    China Machine Press, ISBN 978-7-111-59301-0, pp. 1-224, 2018. (in Chinese, 148,000 words, Big Data Management Series, Editor: Jie She)
[Refereed Journals]

  • Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study.
    Danlei Hu, Lu Chen*, Hanxi, Fang, Ziquan Fang, Tianyi Li, and Yunjun Gao.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
    PDF

  • An Efficient and Distributed Framework for Real-time Trajectory Stream Clustering.
    Yunjun Gao, Ziquan Fang*, Jiachen Xu, Shenhao Gong, Chunhui Shen, and Lu Chen.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023

  • Finding Materialized Models for Model Reuse.
    Minjun Zhao, Lu Chen*, Keyu Yang, Yuntao Du, and Yunjun Gao.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
    PDF

  • CollaborEM: A Self-supervised Entity Matching Framework Using Multi-features Collaboration.
    Congcong Ge, Pengfei Wang, Lu Chen, Xiaoze Liu, Baihua Zheng, and Yunjun Gao*.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023

  • Metakg: Meta-learning on knowledge graph for cold-start recommendation.
    Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, Yunjun Gao,
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
    PDF Code

[Refereed Conferences]

  • Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.
    Xinwei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, and Yunjun Gao*.
    Very Large Data Bases (VLDB), 2024

  • Host Profit Maximization: Leveraging Performance Incentives and User Flexibility.
    Xueqin Chang, Xiangyu Ke*, Lu Chen, Congcong Ge, Ziheng Wei, and Yunjun Gao.
    Very Large Data Bases (VLDB), 2024

  • TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks.
    Chengyang Luo, Qing Liu, Yunjun Gao*, Lu Chen, Ziheng Wei, and Congcong Ge.
    Very Large Data Bases (VLDB), 2023

  • SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting.
    Yuanyuan Yao, Dimeng Li, Hailiang Jie, Lu Chen*, Tianyi Li, Jie Chen, Jiaqi Wang, Feifei Li, and Yunjun Gao.
    Very Large Data Bases (VLDB), 2023

  • Real-time Workload Pattern Analysis for Large-scale Cloud Databases.
    Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, and Yunjun Gao*.
    Very Large Data Bases (VLDB), 2023

  • CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution.
    Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, and Yunjun Gao*.
    SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023

  • Knowledge-refined Denoising Network for Robust Recommendation.
    Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao,
    Information Retrieval (SIGIR), 2023
    PDF Code

  • HAKG: Hierarchy-aware knowledge gated network for recommendation.
    Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao,
    Information Retrieval (SIGIR), 2022
    PDF Code

  • Spatio-temporal trajectory similarity learning in road networks.
    Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S Jensen,
    In The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2022
    PDF Code

[国内学术期刊论文]

  • 面向关系型数据与知识图谱的数据集成技术综述.
    邱林山, 房子荃, 陈璐*, 张天明, 李天义.
    软件学报, 34(5): 2365-2391, 2023.

  • 面向关系型数据与知识图谱的数据集成技术综述.
    高云君*, 葛丛丛, 郭宇翔, 陈璐.
    软件学报, 34(5): 2365-2391, 2023.

  • 基于联邦学习的跨源数据错误检测方法.
    陈璐, 郭宇翔, 葛丛丛, 郑白桦, 高云君*.
    软件学报, 34(3): 1126-1147, 2023.

  • 度量空间数据管理.
    高云君*, 陈璐.
    中国计算机学会通讯, 12(8): 26-31, 2016.

  • 受限相互最近邻查询处理.
    陈璐, 高云君*, 柳晴, 陈刚.
    计算机研究与发展, 49(Suppl.): 140-147, 2012.

Honors

  • ICDE 2022 Best Paper Award (Corresponding Author)
  • 2021 ACM SIGSPATIAL China Rising Star Award
  • National Special Young Experts (2021)
  • One of the Best Papers in ICDE 2019
  • APWeb-WAIM 2018 Best Paper Award
  • 2017 Excellent Doctoral Dissertation Award of the Society for Computing Machinery (CCF)
  • 2016 Zhejiang Province Excellent doctoral dissertation Nomination Thesis Award
  • 2016 Zhejiang University Excellent doctoral dissertation Nomination Thesis Award
  • One of the Best Papers in ICDE 2015

Services

[Guest Editor]
  • World Wide Web Journal: Internet and Web Information Systems (WWWJ), 2017-2018
  • Data Science and Engineering (DSE), 2017-2018
  • Mathematics
[Conference Organization Committee]
  • Workshop Co-Chairs of DASFAA 2023
  • Pulication Co-Chairs of NDBC 2022
  • Publicity Co-Chairs of SpatialDI 2021
  • Program Co-Chairs of ICWL 2020
  • Publicity Co-Chairs of IEEE ICBK 2019
  • PhD Colloquium Co-Chair of IEEE MDM 2019
  • Publication Chair of WISE 2017
[Journal Referee]
  • The VLDB Journal (VLDBJ)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Knowledge Discovery from Data (TKDD)
  • Information Sciences (INS)
  • World Wide Web Journal: Internet and Web Information Systems (WWWJ)
  • Journal of Computer Science and Technology (JCST)
  • Distributed and Parallel Databases (DAPD)
  • Pattern Recognition Letters
  • MultiMedia Tools and Applications
  • Data Science and Engineering (DSE)
[Conference Program Committee Member]
  • VLDB 2020, 2021, 2024
  • ICDE 2024
  • DASFAA 2023, 2024
  • WISE 2017, 2018
  • CIKM 2021
  • PAKDD 2020, 2021
  • SSTD 2019
  • APWeb-WAIM 2018, 2019, 2020, 2021, 2022, 2023
  • MDM 2018, 2020