Digital Multiple Notch Filter Design with Nelder-Mead Simplex Method. - Qiusheng Wang; Xiaolan Gu; Yingyi Liu; Haiwen Yuan (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. - Xiaolan Gu; Ming Li 003; Yang Cao 011; Li Xiong 001 (CNS, 2019)

Providing Input-Discriminative Protection for Local Differential Privacy. - Xiaolan Gu; Ming Li 003; Li Xiong 001; Yang Cao 011 (ICDE, 2020)

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. - Xiaolan Gu; Ming Li 003; Yueqiang Cheng; Li Xiong 001; Yang Cao 011 (USENIX Security Symposium, 2020)

Sparse canonical correlation analysis algorithm with alternating direction method of multipliers. - Xiaolan Gu; Qiusheng Wang (Commun. Stat. Simul. Comput., 2020)

PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy. - Xiaolan Gu; Ming Li 003; Li Xiong 001 (CoRR, 2021)

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum. - Xiaolan Gu; Ming Li 003; Li Xiong 001 (CoRR, 2023)

Privacy-Preserving and Robust Data Analytics under Distributed Settings. - Xiaolan Gu (2024)