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Hao‑Run Cai


Ph.D. Student
School of Artificial Intelligence, Nanjing University
caihr@lamda.nju.edu.cn

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Short Bio

I received my B.Sc. degree from the School of Computer Science at Nanjing University in June 2025. Later that year, I began my Ph.D. studies at Nanjing University, joining the LAMDA Group led by Prof. Zhi‑Hua Zhou, under the supervision of Prof. Han‑Jia Ye.

My research interests include machine learning and data mining, especially deep learning for structured data.

News

  • [2026-01] Our survey paper on representation learning for tabular data is accepted to TPAMI.
  • [2025-09] A paper on feature modulation for temporal tabular data is accepted to NeurIPS 2025.
  • [2025-08] Our paper introducing the tabular learning toolbox TALENT is accepted to JMLR.
  • [2025-05] A paper on learning with tabular data under temporal shift is accepted to ICML 2025.

Publications

  1. TPAMI
    Representation Learning for Tabular Data: A Comprehensive Survey
    Jun‑Peng Jiang, Si‑Yang Liu, Hao‑Run Cai, Qi‑Le Zhou, Han‑Jia Ye
    IEEE Transactions on Pattern Analysis and Machine Intelligence. TPAMI 2026
    Paper Cite Project
  2. NeurIPS
    Feature-aware Modulation for Learning from Temporal Tabular Data
    Hao‑Run Cai, Han‑Jia Ye
    Neural Information Processing Systems. NeurIPS 2025
    Paper Cite Code Poster
  3. JMLR
    TALENT: A Tabular Analytics and Learning Toolbox
    Si‑Yang Liu, Hao‑Run Cai, Qile Zhou, Huai‑Hong Yin, Tao Zhou, Jun‑Peng Jiang, Han‑Jia Ye
    Journal of Machine Learning Research. JMLR 2025
    Paper Cite Code
  4. ICML
    Understanding the Limits of Deep Tabular Methods with Temporal Shift
    Hao‑Run Cai, Han‑Jia Ye
    International Conference on Machine Learning. ICML 2025
    Paper Cite Code Poster
  5. A Closer Look at Deep Learning Methods on Tabular Datasets
    Han‑Jia Ye, Si‑Yang Liu*, Hao‑Run Cai*, Qi‑Le Zhou, De‑Chuan Zhan
    Preprint.
    Paper Cite

Contact

This page has been visited ... times. Last updated on 2026‑01‑16 by Hao‑Run Cai. Thanks to Dr. Da‑Wei Zhou for the template.