Xinpeng Ling

Orcid: 0009-0006-1605-7054

According to our database1, Xinpeng Ling authored at least 13 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Differentially Private Federated Learning: A Systematic Review.
ACM Comput. Surv., August, 2026

2025
scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering.
CoRR, August, 2025

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression.
CoRR, May, 2025

ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations.
Proceedings of the 25th IEEE International Symposium on a World of Wireless, 2025

FreIE: Low-Frequency Spectral Bias in Neural Networks for Time-Series Tasks.
Proceedings of the IEEE International Conference on Data Mining, 2025

EC-LDA: Label Distribution Inference Attack Against Federated Graph Learning with Embedding Compression.
Proceedings of the IEEE International Conference on Data Mining, 2025

2024
A Robust Mismatch Removal Method for Image Matching Based on the Fusion of the Local Features and the Depth.
Remote. Sens., June, 2024

ERNet: A Rapid Road Crack Detection Method Using Low-Altitude UAV Remote Sensing Images.
Remote. Sens., May, 2024

FedFDP: Federated Learning with Fairness and Differential Privacy.
CoRR, 2024

DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Single-cell Curriculum Learning-based Deep Graph Embedding Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis.
CoRR, 2023

2022
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing.
CoRR, 2022


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