Towards Differentially Private Contrastive Learning. - Wenjun Li; Anli Yan; Taoyu Zhu; Teng Huang; Xuandi Luo; Shaowei Wang (ML4CS (2), 2022)

DPCL: Contrastive representation learning with differential privacy. - Wenjun Li; Anli Yan; Di Wu 056; Taoyu Zhu; Teng Huang 001; Xuandi Luo; Shaowei Wang (Int. J. Intell. Syst., 2022)

Shuffle Differential Private Data Aggregation for Random Population. - Shaowei Wang 003; Xuandi Luo; Yuqiu Qian; Youwen Zhu; Kongyang Chen; Qi Chen 024; Bangzhou Xin; Wei Yang 011 (IEEE Trans. Parallel Distributed Syst., 2023)

Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness. - Shaowei Wang 003; Xuandi Luo; Yuqiu Qian; Jiachun Du; Wenqing Lin; Wei Yang 011 (IEEE Trans. Knowl. Data Eng., 2023)

Fully Deformable Network for Multiview Face Image Synthesis. - Cheng Xu; Keke Li; Xuandi Luo; Xuemiao Xu; Shengfeng He; Kun Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

L3Net: Localized and Layered Reparameterization for incremental learning. - Xuandi Luo; Huaidong Zhang; Yi Xie; Hongrui Zhang; Xuemiao Xu; Shengfeng He (Neural Networks, 2025)

Unambiguous granularity distillation for asymmetric image retrieval. - Hongrui Zhang; Yi Xie; Haoquan Zhang; Cheng Xu; Xuandi Luo; Donglei Chen; Xuemiao Xu; Huaidong Zhang; Pheng-Ann Heng; Shengfeng He (Neural Networks, 2025)