One-Pass Inconsistency Detection Algorithms for Big Data. - Meifan Zhang; Hongzhi Wang 001; Jianzhong Li 001; Hong Gao 001 (IEEE Access, 2019)

Diversification on big data in query processing. - Meifan Zhang; Hongzhi Wang 001; Jianzhong Li 001; Hong Gao 001 (Frontiers Comput. Sci., 2020)

Learned sketches for frequency estimation. - Meifan Zhang; Hongzhi Wang 001; Jianzhong Li 001; Hong Gao 001 (Inf. Sci., 2020)

SUM-optimal histograms for approximate query processing. - Meifan Zhang; Hongzhi Wang 001; Jianzhong Li 001; Hong Gao 001 (Knowl. Inf. Syst., 2020)

Approximate Query Processing for Group-By Queries based on Conditional Generative Models. - Meifan Zhang; Hongzhi Wang 001 (CoRR, 2021)

LAQP: Learning-based approximate query processing. - Meifan Zhang; Hongzhi Wang 001 (Inf. Sci., 2021)

Selectivity estimation with density-model-based multidimensional histogram. - Meifan Zhang; Hongzhi Wang 001 (Knowl. Inf. Syst., 2021)

Sensitivity estimation for differentially private query processing. - Meifan Zhang; Xin Liu; Lihua Yin (CoRR, 2023)

Partition-based differentially private synthetic data generation. - Meifan Zhang; Dihang Deng; Lihua Yin (CoRR, 2023)

Local differentially private frequency estimation based on learned sketches. - Meifan Zhang; Sixin Lin; Lihua Yin (Inf. Sci., 2023)

Sketches-Based Join Size Estimation Under Local Differential Privacy. - Meifan Zhang; Xin Liu; Lihua Yin (ICDE, 2024)

Private and Communication-Efficient Federated Learning based on Differentially Private Sketches. - Meifan Zhang; Zhanhong Xie; Lihua Yin (CoRR, 2024)