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Yuncheng Wu

Associate Professor
School of Information, Renmin University of China
wuyuncheng (at) ruc.edu.cn


About Me

I am currently an associate professor at School of Information, Renmin University of China. Prior to that, I was a research assistant professor in School of Computing (SoC), National University of Singapore (NUS), and worked in the Singapore Blockchain Innovation Programme (SBIP). I was part of the Database Systems Research Group, working with Prof. Beng Chin Ooi and Prof. Xiaokui Xiao.

I obtained my PhD degree in Computer Science from Renmin University of China (RUC) in 2018, under the supervision of Prof. Hong Chen. I was a visiting PhD student in Simon Fraser University (SFU), supervised by Prof. Ke Wang. I received my Master’s degree from Nanjing University of Science and Technology (NJUST), advised by Prof. Yongli Wang, and Bachelor’s degree from Southwest University of Science and Technology (SWUST). I also worked in Ant Financial as a senior developer and 724 Research Institute of China Shipbuilding Industry Corporation as a software engineer.

I am looking for highly motivated students to work with me. Please drop me an email if you are interested.

Research Interests

News

Selected Publications

  1. Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs
    Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
    Proceedings of the VLDB Endowment (PVLDB), 2024.
    Accepted
  2. Applications and Challenges for Large Language Models: From Data Management Perspective
    Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2024.
    Accepted
  3. LBSC: A Cost-aware Caching Framework for Cloud Databases
    Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2024.
    Accepted (Best Runner Up Paper Award)
  4. Protecting Label Distribution in Cross-Silo Federated Learning
    Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
    IEEE Symposium on Security and Privacy (IEEE S&P), 2024.
    PDF
  5. On Data Distribution Leakage in Cross-Silo Federated Learning
    Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
    PDF
  6. Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System
    Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
    Proceedings of the VLDB Endowment (PVLDB), 2023.
    PDF
  7. MINT: Detecting Fraudulent Behaviors from Time-series Relational Data
    Fei Xiao, Yuncheng Wu*, Meihui Zhang, Gang Chen, Beng Chin Ooi (* denotes corresponding author)
    Proceedings of the VLDB Endowment (PVLDB), 2023.
    PDF
  8. Incentive-Aware Decentralized Data Collaboration
    Yatong Wang, Yuncheng Wu*, Xincheng Chen, Gang Feng, Beng Chin Ooi (* denotes corresponding author)
    ACM Special Interest Group in Management Of Data (SIGMOD), 2023.
    PDF
  9. FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data
    Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang
    ACM Special Interest Group in Management Of Data (SIGMOD), 2023.
    PDF
  10. LuxGeo: Efficient and Secure Enhanced Geometric Range Queries
    Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
    PDF
  11. Serverless Data Science - Are We There Yet? A Case Study of Model Serving
    Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi
    ACM Special Interest Group in Management Of Data (SIGMOD), 2022.
    PDF
  12. A Fusion-Denoising Attack on InstaHide with Data Augmentation
    Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
    AAAI Conference on Artificial Intelligence (AAAI), 2022.
    PDF
  13. Feature inference attack on model predictions in vertical federated learning
    Xinjian Luo, Yuncheng Wu*, Xiaokui Xiao, Beng Chin Ooi (* denotes corresponding author)
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021.
    PDF
  14. Communication-efficient decentralized machine learning over heterogeneous networks
    Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021.
    PDF
  15. Enhanced privacy preserving group nearest neighbor search
    Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
    PDF
  16. Privacy preserving vertical federated learning for tree-based models
    Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
    Proceedings of the VLDB Endowment (PVLDB), 2020.
    PDF
  17. A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations
    Wenjuan Liang, Hong Chen, Ruixuan Liu, Yuncheng Wu, Cuiping Li
    Computers & Security, 2020.
    PDF
  18. MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud
    Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li
    IEEE/ACM International Symposium on Quality of Service (IWQoS), 2019.
    PDF
  19. Privacy preserving group nearest neighbor search
    Yuncheng Wu, Ke Wang, Zhilin Zhang, Weipeng Lin, Hong Chen, Cuiping Li
    International Conference on Extending Database Technology (EDBT), 2018.
    PDF

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