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ZHENG SHUYUAN  鄭 舒元

ORCIDConnect your ORCID iD *help
Researcher Number 30994694
Other IDs
Affiliation (Current) 2026: 大阪大学, 大学院情報科学研究科, 助教
Affiliation (based on the past Project Information) *help 2023 – 2025: 大阪大学, 大学院情報科学研究科, 特任助教(常勤)
Review Section/Research Field
Principal Investigator
Basic Section 60080:Database-related
Except Principal Investigator
Basic Section 60080:Database-related / Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords
Principal Investigator
trust / data pricing / data valuation / data market
Except Principal Investigator
プライバシー保護 / 11111 / Explainability / 説明可能性 / 差分プライバシ / Differential Privacy … More / differential privacy / データ価値査定 / 差分プライバシー / パーソナルデータ / パーソナルデータ市場 / シャープレー値 / 連合学習 / 機械学習 / プライバシ保護 Less
  • Research Projects

    (3 results)
  • Research Products

    (9 results)
  • Co-Researchers

    (3 People)
  •  Fundamental Technologies for Enhancing Trust in Machine Learning-Centric Data TradingPrincipal Investigator

    • Principal Investigator
      鄭 舒元
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 60080:Database-related
    • Research Institution
      The University of Osaka
  •  A Principled Framework for Explaining, Choosing and Negotiating Privacy Parameters of Differential Privacy

    • Principal Investigator
      曹 洋
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60080:Database-related
    • Research Institution
      Institute of Science Tokyo
      Hokkaido University
  •  Toward the construction of a healthy and robust distribution system for personal data that takes into account individual preferences and reward allocation

    • Principal Investigator
      Yoshikawa Masatoshi
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      Osaka Seikei University
      Kyoto University

All 2024 2023 2022

All Journal Article Presentation

  • [Journal Article] Privacy-Enhanced Database Synthesis for Benchmark Publishing2024

    • Author(s)
      Ge Yunqing、Qin Jianbin、Zheng Shuyuan、Zhong Yongrui、Tang Bo、Qiu Yu-Xuan、Mao Rui、Yuan Ye、Onizuka Makoto、Xiao Chuan
    • Journal Title

      Proceedings of the VLDB Endowment

      Volume: 18 Issue: 2 Pages: 413-425

    • DOI

      10.14778/3705829.3705855

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K19767, KAKENHI-PROJECT-23K24851, KAKENHI-PROJECT-23K25157, KAKENHI-PROJECT-23K17456
  • [Journal Article] Secure Shapley Value for Cross-Silo Federated Learning2023

    • Author(s)
      Shuyuan Zheng, Yang Cao, and Masatoshi Yoshikawa
    • Journal Title

      Proceedings of the VLDB Endowment

      Volume: 16 Issue: 7 Pages: 1657-1670

    • DOI

      10.14778/3587136.3587141

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22KJ1721, KAKENHI-PROJECT-21K19767, KAKENHI-PROJECT-19H04215
  • [Presentation] Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents2024

    • Author(s)
      Zengqing Wu, Run Peng, Shuyuan Zheng, Qianying Liu, Xu Han, Brian Inhyuk Kwon, Makoto Onizuka, Shaojie Tang, Chuan Xiao
    • Organizer
      EMNLP
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24851
  • [Presentation] Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents2024

    • Author(s)
      Zengqing Wu, Run Peng, Shuyuan Zheng (corresponding author), Qianying Liu, Xu Han, Brian I. Kwon, Makoto Onizuka, Shaojie Tang, Chuan Xiao
    • Organizer
      EMNLP 2024
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K19767
  • [Presentation] Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks2024

    • Author(s)
      L Zheng, Y Cao, R Jiang, K Taura, Y Shen, S Li, M Yoshikawa
    • Organizer
      DASFAA
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24851
  • [Presentation] TabularMark: Watermarking Tabular Datasets for Machine Learning2024

    • Author(s)
      Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
    • Organizer
      ACM CCS
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24851
  • [Presentation] Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks2024

    • Author(s)
      Lele Zheng;Yang Cao;Renhe Jiang;Kenjiro Taura;Yulong Shen;Sheng Li;Masatoshi Yoshikawa
    • Organizer
      DASFAA
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24851
  • [Presentation] Secure Shapley Value for Cross-Silo Federated Learning2023

    • Author(s)
      Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
    • Organizer
      VLDB 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24851
  • [Presentation] FL-Market: Trading Private Models in Federated Learning2022

    • Author(s)
      Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Qiang Yan
    • Organizer
      IEEE International Conference on Big Data, Big Data 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K19767
  • 1.  Yoshikawa Masatoshi (30182736)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 4 results
  • 2.  曹 洋 (60836344)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 5 results
  • 3.  小西 葉子 (00876708)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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