SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing. - Jie Fu 003; Zhili Chen; Xinpeng Ling (CoRR, 2022)

Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis. - Xinpeng Ling; Jie Fu 003; Zhili Chen (CoRR, 2023)

Single-cell Curriculum Learning-based Deep Graph Embedding Clustering. - Huifa Li; Jie Fu; Xinpeng Ling; Zhiyu Sun; Kuncan Wang; Zhili Chen (BIBM, 2024)

DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering. - Huifa Li; Jie Fu 003; Zhili Chen; Xiaomin Yang; Haitao Liu; Xinpeng Ling (ICIC (LNBI 1), 2024)

FedFDP: Federated Learning with Fairness and Differential Privacy. - Xinpeng Ling; Jie Fu 003; Zhili Chen; Kuncan Wang; Huifa Li; Tong Cheng; Guanying Xu; Qin Li (CoRR, 2024)

Differentially Private Federated Learning: A Systematic Review. - Jie Fu 003; Yuan Hong 001; Xinpeng Ling; Leixia Wang; Xun Ran; Zhiyu Sun; Wendy Hui Wang; Zhili Chen; Yang Cao (CoRR, 2024)

ERNet: A Rapid Road Crack Detection Method Using Low-Altitude UAV Remote Sensing Images. - Zexian Duan; Jiahang Liu; Xinpeng Ling; Jinlong Zhang; Zhiheng Liu (Remote. Sens., 2024)

A Robust Mismatch Removal Method for Image Matching Based on the Fusion of the Local Features and the Depth. - Xinpeng Ling; Jiahang Liu; Zexian Duan; Ji Luan (Remote. Sens., 2024)

ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations. - Xinpeng Ling; Jie Fu 003; Kuncan Wang; Haitao Liu; Zhili Chen (WoWMoM, 2025)

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression. - Tong Cheng; Jie Fu 003; Xinpeng Ling; Huifa Li; Zhili Chen (CoRR, 2025)

scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering. - Huifa Li; Jie Fu 003; Xinlin Zhuang; Haolin Yang; Xinpeng Ling; Tong Cheng; Haochen Xue; Imran Razzak; Zhili Chen (CoRR, 2025)