Xiaolan Gu

Xiaolan Gu

Data Scientist, LinkedIn

About Me

I am a Data Scientist at LinkedIn specializing in Privacy-Enhancing Technologies (PETs). I completed my Ph.D. in Electrical and Computer Engineering at the University of Arizona in 2024, under the mentorship of Prof. Ming Li. During Summer 2022, I interned as an Applied Research Data Scientist at LinkedIn, and in Summer 2019, I was a research intern at Baidu Security Lab. I hold a B.S. in Mathematics and System Science and an M.S. in Automation Science and Electrical Engineering, both from Beihang University.

My research interests focus on privacy-preserving techniques (e.g., Differential Privacy and Secure Multi-Party Computation) and robust machine learning/federated learning.


Publications

Preprints

  1. PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy    [paper]
    Xiaolan Gu, Ming Li, and Li Xiong
    arXiv preprint, 2021

Conference Papers

  1. DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum    [paper]
    Xiaolan Gu, Ming Li, and Li Xiong
    USENIX Security, 2025 (accepted)

  2. PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility    [paper] [slides] [code]
    Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong and Yang Cao
    USENIX Security, 2020. (acceptance rate: 158/972=16.3%)

  3. Providing Input-Discriminative Protection for Local Differential Privacy    [paper] [slides] [code]
    Xiaolan Gu, Ming Li, Li Xiong and Yang Cao
    IEEE International Conference on Data Engineering (ICDE), 2020. (acceptance rate: 129/568=23%)

  4. Supporting both Range Queries and Frequency Estimation with Local Differential Privacy [paper] [slides] [code]
    Xiaolan Gu, Ming Li, Yang Cao and Li Xiong
    IEEE Conference on Communications and Network Security (CNS), 2019. (acceptance rate: 32/115=28%)

Journal Papers

  1. Sparse canonical correlation analysis algorithm with alternating direction method of multipliers    [paper]
    Xiaolan Gu and Qiusheng Wang
    Communications in Statistics - Simulation and Computation, pp. 1-17, 2019.

  2. Received signal strength indication-based localisation method with unknown path-loss exponent for HVDC electric field measurement    [paper]
    Xiaolan Gu, Yong Cui, Qiusheng Wang, Haiwen Yuan, Luxing Zhao and Guifang Wu
    IET - High Voltage, 2(4), pp. 261-266, 2017.

  3. Adaptive notch filter design under multiple identical bandwidths    [paper]
    Qiusheng Wang, Xiaolan Gu and Jinyong Lin
    AEU - International Journal of Electronics and Communications, 2017(82), pp. 202-210, 2017.

  4. Digital multiple notch filter design with Nelder-Mead simplex method    [paper]
    Qiusheng Wang, Xiaolan Gu, Yingyi Liu and Haiwen Yuan
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science, 100(1), pp. 259-265, 2017.

[Last updated: Nov. 2024]