2014年-2018年，伟德国际1946源自英国，伟德国际1946源自英国，工学博士

2016年-2017年，加拿大西门菲沙大学，计算机学院，访问博士生

2010年-2013年，南京理工大学，计算机科学与工程学院，工学硕士

2006年-2010年，西南科技大学，计算机科学与技术学院 工学学士

2024年-至今，伟德国际1946源自英国，伟德国际1946源自英国，副教授

2021年-2024年，新加坡国立大学，计算机学院，研究助理教授

2019年-2021年，新加坡国立大学，计算机学院，博士后研究员

2018年-2019年，蚂蚁集团，高级研发工程师

2013年-2014年，中船重工第七二四研究所，软件工程师

[1] 华为公司，CCF-华为胡杨林基金数据库专项，2024-2025，在研，主持

[2] 腾讯公司，CCF犀牛鸟专项基金，2024-2025，在研，主持

[3] 伟德国际1946源自英国，新教师启动基金，2024-2025，在研，主持

[4] 新加坡国立大学GAP项目，TezSign: Next Generation Signing App on Web3.0，2023-2024，结题，共同主持

[5] 新加坡国家研究基金会项目，Singapore Blockchain Innovation Programme，2020-2024，参与

[6] 新加坡教育部研究基金会项目，AI- and Data-driven Financial Management and Analytics，2018-2024，参与

[7] 国家自然科学基金青年项目，面向集成架构的不规则负载划分及优化关键技术研究，2019-2021，参与

[8] 国家自然科学基金面上项目，基于抽样的统计粗糙集模型及应用，2018-2021，参与

【更多论文请访问个人主页https://lemonviv.github.io/】

[1] Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi. Passive Inference Attacks on Split Learning via Adversarial Regularization. The Network and Distributed System Security (NDSS), 2025. (CCF A类)

[2] Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu. Powering In-Database Dynamic Model Slicing for Structured Data Analytics. Proceedings of the VLDB Endowment (PVLDB), 2025. (CCF A类)

[3] Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu*, Xiaokui Xiao, Beng Chin Ooi. Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. IEEE Transactions on Information Forensics and Security (TIFS), 2024. (CCF A类)

[4] Beng Chin Ooi, Shaofeng Chai, Gang Chen, Yanyan Shen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao. NeurDB: An AI-powered Autonomous Data System. Science China Information Sciences (SCIS), 2024. (CCF A类)

[5] Yizheng Zhu, Yuncheng Wu*, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao. Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proceedings of the VLDB Endowment (PVLDB), 2024. (CCF A类)

[6] Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai. Applications and Challenges for Large Language Models: From Data Management Perspective. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2024. (CCF A类)

[7] Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang. LBSC: A Cost-aware Caching Framework for Cloud Databases. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2024. (CCF A类)

[8] Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi. Protecting Label Distribution in Cross-Silo Federated Learning. IEEE Symposium on Security and Privacy (IEEE S&P), 2024. (CCF A类)

[9] Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi. On Data Distribution Leakage in Cross-Silo Federated Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (CCF A类)

[10] Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang. Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proceedings of the VLDB Endowment (PVLDB), 2023. (CCF A类)

[11] Fei Xiao, Yuncheng Wu*, Meihui Zhang, Gang Chen, Beng Chin Ooi. MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. Proceedings of the VLDB Endowment (PVLDB), 2023. (CCF A类)

[12] Yatong Wang, Yuncheng Wu*, Xincheng Chen, Gang Feng, Beng Chin Ooi. Incentive-Aware Decentralized Data Collaboration. Proceedings of the ACM on Management of Data (SIGMOD), 2023. (CCF A类)

[13] Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang. FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. Proceedings of the ACM on Management of Data (SIGMOD), 2023. (CCF A类)

[14] Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li. LuxGeo: Efficient and Secure Enhanced Geometric Range Queries. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. (CCF A类)

[15] Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi. Serverless Data Science - Are We There Yet? A Case Study of Model Serving. ACM Special Interest Group in Management of Data (SIGMOD), 2022. (CCF A类)

[16] Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi. A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF A类)

[17] Xinjian Luo, Yuncheng Wu*, Xiaokui Xiao, Beng Chin Ooi. Feature inference attack on model predictions in vertical federated learning. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021. (CCF A类)

[18] Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu. Communication-efficient decentralized machine learning over heterogeneous networks. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021. (CCF A类)

[19] Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li. Enhanced privacy preserving group nearest neighbor search. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF A类)

[20] Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi. Privacy preserving vertical federated learning for tree-based models. Proceedings of the VLDB Endowment (PVLDB), 2020. (CCF A类)

* 国际会议VLDB 2024 Demo Track主席、BigComp 2023 Workshop主席

* 高级程序委员会委员CIKM 2024

* 程序委员会委员VLDB 2022-2025，ICDE 2022-2024，EDBT 2023

* 期刊审稿人：TKDE，TIFS，JCST，TBD，TDS，计算机学报

* 2024年SIGMOD系统奖

* 2024年ICDE最佳论文提名奖

* 伟德国际1946源自英国“吴玉章青年学者”