Privacy-Preserving and Robust Data Analytics under Distributed Settings - Xiaolan Gu (University of Arizona, Tucson, USA, 2024)

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

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

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

Providing Input-Discriminative Protection for Local Differential Privacy - Xiaolan Gu; Ming Li; Li Xiong; Yang Cao (36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020, 2020)

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility - Xiaolan Gu; Ming Li; Yueqiang Cheng; Li Xiong; Yang Cao (29th USENIX Security Symposium, USENIX Security 2020, August 12-14, 2020, 2020)

Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy - Xiaolan Gu; Ming Li; Yang Cao; Li Xiong (7th IEEE Conference on Communications and Network Security, CNS 2019, Washington, DC, USA, June 10-12, 2019, 2019)

Providing Input-Discriminative Protection for Local Differential Privacy - Xiaolan Gu; Ming Li; Li Xiong; Yang Cao (CoRR, 2019)

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility - Xiaolan Gu; Ming Li; Yueqiang Cheng; Li Xiong; Yang Cao (CoRR, 2019)

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)