Enable Privacy Preservation and Result Verification for Top-k Query in Two-Tiered Sensor Networks. - Hui Peng 002; Xiaoying Zhang; Hong Chen 001; Yuncheng Wu; Yao Wu; Juru Zeng (TrustCom/BigDataSE/ISPA (1), 2015)

DPListCF: A differentially private approach for listwise collaborative filtering. - Yuncheng Wu; Juru Zeng; Hong Chen 001; Yao Wu; Wenjuan Liang; Hui Peng 002; Cuiping Li 001 (ISCC, 2016)

Differentially private density estimation via Gaussian mixtures model. - Yuncheng Wu; Yao Wu; Hui Peng 002; Juru Zeng; Hong Chen 001; Cuiping Li 001 (IWQoS, 2016)

Energy-Efficient and Privacy-Preserving Range Query in Participatory Sensing. - Juru Zeng; Yuncheng Wu; Yao Wu; Hong Chen 001; Cuiping Li 001; Shan Wang 001 (Trustcom/BigDataSE/ISPA, 2016)

MagiCrowd: A crowd based incentive for location-aware crowd sensing. - Yao Wu; Yuncheng Wu; Hui Peng 002; Hong Chen 001; Cuiping Li 001 (WCNC, 2016)

AXE: Objects Search in Mobile Volunteered Service. - Yao Wu; Wenjuan Liang; Yuncheng Wu; Hong Chen 001; Cuiping Li 001 (CollaborateCom, 2017)

PIE: A personalized incentive for location-aware mobile crowd sensing. - Yao Wu; Yuncheng Wu; Juru Zeng; Hong Chen 001; Cuiping Li 001 (ISCC, 2017)

HelPal: A Search System for Mobile Crowd Service. - Yao Wu; Tianzhen Wu; Ziyi Xiong; Yuncheng Wu; Hong Chen 001; Cuiping Li 001; Xiaoying Zhang (CoRR, 2017)

Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks. - Ying Liu 032; Hui Peng 002; Yuncheng Wu; Juru Zeng; Hong Chen 001; Ke Wang 001; Weiling Lai; Cuiping Li 001 (DASFAA (1), 2018)

Privacy Preserving Group Nearest Neighbor Search. - Yuncheng Wu; Ke Wang 001; Zhilin Zhang 001; Weipeng Lin; Hong Chen 001; Cuiping Li 001 (EDBT, 2018)

Differentially Private Frequent Itemset Mining Against Incremental Updates. - Wenjuan Liang; Hong Chen 001; Yuncheng Wu; Cuiping Li 001 (ICICS, 2019)

MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud. - Ruoyang Guo; Bo Qin; Yuncheng Wu; Ruixuan Liu; Hong Chen 001; Cuiping Li 001 (IWQoS, 2019)

A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations. - Wenjuan Liang; Hong Chen 001; Ruixuan Liu; Yuncheng Wu; Cuiping Li 001 (Comput. Secur., 2020)

Privacy Preserving Vertical Federated Learning for Tree-based Models. - Yuncheng Wu; Shaofeng Cai; Xiaokui Xiao; Gang Chen 001; Beng Chin Ooi (Proc. VLDB Endow., 2020)

Feature Inference Attack on Model Predictions in Vertical Federated Learning. - Xinjian Luo; Yuncheng Wu; Xiaokui Xiao; Beng Chin Ooi (ICDE, 2021)

Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. - Pan Zhou 003; Qian Lin 002; Dumitrel Loghin; Beng Chin Ooi; Yuncheng Wu; Hongfang Yu (ICDE, 2021)

Serverless Model Serving for Data Science. - Yuncheng Wu; Tien Tuan Anh Dinh; Guoyu Hu; Meihui Zhang 001; Yeow Meng Chee; Beng Chin Ooi (CoRR, 2021)

Enhanced Privacy Preserving Group Nearest Neighbor Search. - Yuncheng Wu; Ke Wang 001; Ruoyang Guo; Zhilin Zhang 001; Dan Zhao 009; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Knowl. Data Eng., 2021)

A Fusion-Denoising Attack on InstaHide with Data Augmentation. - Xinjian Luo; Xiaokui Xiao; Yuncheng Wu; Juncheng Liu; Beng Chin Ooi (AAAI, 2022)

Serverless Data Science - Are We There Yet? A Case Study of Model Serving. - Yuncheng Wu; Tien Tuan Anh Dinh; Guoyu Hu; Meihui Zhang 001; Yeow Meng Chee; Beng Chin Ooi (SIGMOD Conference, 2022)

FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. - Rui Fu; Yuncheng Wu; Quanqing Xu; Meihui Zhang 001 (Proc. ACM Manag. Data, 2023)

Incentive-Aware Decentralized Data Collaboration. - Yatong Wang; Yuncheng Wu; Xincheng Chen; Gang Feng 004; Beng Chin Ooi (Proc. ACM Manag. Data, 2023)

Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. - Yuncheng Wu; Naili Xing; Gang Chen 001; Tien Tuan Anh Dinh; Zhaojing Luo; Beng Chin Ooi; Xiaokui Xiao; Meihui Zhang 001 (Proc. VLDB Endow., 2023)

MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. - Fei Xiao; Yuncheng Wu; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi (Proc. VLDB Endow., 2023)

LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. - Ruoyang Guo; Bo Qin; Yuncheng Wu; Ruixuan Liu; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Applications and Challenges for Large Language Models: From Data Management Perspective. - Meihui Zhang 001; Zhaoxuan Ji; Zhaojing Luo; Yuncheng Wu; Chengliang Chai (ICDE, 2024)

LBSC: A Cost-Aware Caching Framework for Cloud Databases. - Zhaoxuan Ji; Zhongle Xie; Yuncheng Wu; Meihui Zhang 001 (ICDE, 2024)

Protecting Label Distribution in Cross-Silo Federated Learning. - Yangfan Jiang 001; Xinjian Luo; Yuncheng Wu; Xiaokui Xiao; Beng Chin Ooi (SP, 2024)

NeurDB: an AI-powered autonomous data system. - Beng Chin Ooi; Shaofeng Cai; Gang Chen 001; Yanyan Shen; Kian-Lee Tan; Yuncheng Wu; Xiaokui Xiao; Naili Xing; Cong Yue; Lingze Zeng; Meihui Zhang 001; Zhanhao Zhao (Sci. China Inf. Sci., 2024)

NeurDB: An AI-powered Autonomous Data System. - Beng Chin Ooi; Shaofeng Cai; Gang Chen 001; Kian-Lee Tan; Yuncheng Wu; Xiaokui Xiao; Naili Xing; Cong Yue; Lingze Zeng; Meihui Zhang 001; Zhanhao Zhao (CoRR, 2024)

Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails. - Haichao Sha; Yang Cao; Yong Liu; Yuncheng Wu; Ruixuan Liu; Hong Chen (CoRR, 2024)

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. - Zhanhao Zhao; Shaofeng Cai; Haotian Gao; Hexiang Pan; Siqi Xiang; Naili Xing; Gang Chen 001; Beng Chin Ooi; Yanyan Shen; Yuncheng Wu; Meihui Zhang 001 (CoRR, 2024)

Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. - Xinjian Luo; Yangfan Jiang 001; Fei Wei; Yuncheng Wu; Xiaokui Xiao; Beng Chin Ooi (IEEE Trans. Inf. Forensics Secur., 2024)

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. - Yizheng Zhu; Yuncheng Wu; Zhaojing Luo; Beng Chin Ooi; Xiaokui Xiao (Proc. VLDB Endow., 2024)

FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme. - Gang Wang; Li Zhou; Qingming Li; Xiaoran Yan; Ximeng Liu; Yuncheng Wu (IEEE Internet Things J., 2024)

On Data Distribution Leakage in Cross-Silo Federated Learning. - Yangfan Jiang 001; Xinjian Luo; Yuncheng Wu; Xiaochen Zhu 003; Xiaokui Xiao; Beng Chin Ooi (IEEE Trans. Knowl. Data Eng., 2024)

Front Matter. - Meihui Zhang 001; Cyrus Shahabi; Ju Fan; Yang Cao 011; Xiaoou Ding; Divesh Srivastava; Nesime Tatbul; Sihem Amer-Yahia; Yongxin Tong; Yuncheng Wu; Li Xiong 001; Torsten Grust; et al. (Proc. VLDB Endow., 2024)

Powering In-Database Dynamic Model Slicing for Structured Data Analytics. - Lingze Zeng; Naili Xing; Shaofeng Cai; Gang Chen 001; Beng Chin Ooi; Jian Pei 001; Yuncheng Wu (Proc. VLDB Endow., 2024)

SeSeMI: Secure Serverless Model Inference on Sensitive Data. - Guoyu Hu; Yuncheng Wu; Gang Chen 001; Tien Tuan Anh Dinh; Beng Chin Ooi (ICDE, 2025)

Passive Inference Attacks on Split Learning via Adversarial Regularization. - Xiaochen Zhu 003; Xinjian Luo; Yuncheng Wu; Yangfan Jiang 001; Xiaokui Xiao; Beng Chin Ooi (NDSS, 2025)

CCaaLF: Concurrency Control as a Learnable Function. - Hexiang Pan; Shaofeng Cai; Tien Tuan Anh Dinh; Yuncheng Wu; Yeow Meng Chee; Gang Chen 001; Beng Chin Ooi (CoRR, 2025)

Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System. - Bingxue Zhang; Guangguang Lu; Yuncheng Wu; Kunpeng Ren; Feida Zhu 001 (IEEE Trans. Knowl. Data Eng., 2025)