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Jiajun Li

Welcome to My Homepage. I’m Jiajun Li (李家郡), a fourth-year Ph.D. student at the Gaoling School of Artificial Intelligence Renmin University of China, advised by Prof. Zhewei Wei. Before that, I received my B.E. degree in School of Statistics, Renmin University of China in June 2019.

EXPERIENCE

  • 2019-09 – present

    Gaoling School of Artificial Intelligence, Renmin University of China

  • 2020-12 – present

    Internship at Alibaba Group.
    Collaborated with Alibaba DAMO Academy.
    Engaged in the deployment of a learning-based sampling estimator on the AliCloud platform.
    Involved in the study of the algorithm for query optimization.

  • 2023-12 – 2024-07

    Research Assistant at The Chinese University of Hong Kong.
    Applying machine learning algorithms for feature estimations advised by Prof. Sibo Wang.

RESEARCH INTERESTS

  • Approximate Estimate
  • Data Streaming
  • Distributed computation
  • Matrix factorization

SKILLS

  • C++ (Eigen, Armadillo, MKL, ...)

    85%

  • Python(Numpy, Pytorch, Cython ...)

    85%

  • Spark/PySpark

    70%

  • Badminton

    99%

RECENT PUBLICATIONS

[All Publications]
  1. Learning-based Property Estimation with Polynomials
    Li, Jiajun, Lei, Runlin, Wang, Sibo, Wei, Zhewei, and Ding, Bolin
    Proceedings of the ACM on Management of Data, vol. 2, pp. 1–27, 2024
  2. Optimal Matrix Sketching over Sliding Windows
    Yin, Hanyan, Wen, Dongxie, Li, Jiajun, Wei, Zhewei, Zhang, Xiao, Huang, Zengfeng, and Li, Feifei
    arXiv preprint arXiv:2405.07792, 2024
  3. Sampling-based estimation of the number of distinct values in distributed environment
    Li, Jiajun, Wei, Zhewei, Ding, Bolin, Dai, Xiening, Lu, Lu, and Zhou, Jingren
    In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 893–903, 2022