Lin Chen

According to our database, Lin Chen authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HomLLM: Exploiting Semantic Homology Relationship for Fine-Grained Bird Image Classification via Large Language Models.

Hai Liu, Yu Song, Tingting Liu, Hao Zheng, Lin Chen, Zhaoli Zhang, Youfu Li

IEEE Trans. Neural Networks Learn. Syst., March, 2026

Differentially Private Online Convex Optimization With Long-Term Constraints via Gaussian Mechanism and Virtual Queue.

Lin Chen, Pan Zhou, Xiaofeng Ding, Huanle Xu, John C. S. Lui

IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

TransSIL: A Silhouette Cue-Aware Image Classification Framework for Bird Ecological Monitoring Systems.

Hai Liu, Yu Song, Tingting Liu, Lin Chen, Zhaoli Zhang, Xiaolan Yang, Neal N. Xiong

IEEE Internet Things J., 2026

2025

Efficient and Secure Content-Based Image Retrieval in Cloud-Assisted Internet of Things.

Lin Chen, Yiwei Yang, Li Yang, Chao Xu, Yinbin Miao, Zhiquan Liu, Ximeng Liu, Kim-Kwang Raymond Choo, Zhihong Liang, Chao Hong

IEEE Internet Things J., March, 2025

MASS: A Multiattribute Sketch Secure Data Sharing Scheme for IoT Wearable Medical Devices Based on Blockchain.

Lin Chen, Yuxiang Chen, Wei Liang, Xiong Li, Kuan-Ching Li, Jin Wang, Naixue Xiong

IEEE Internet Things J., January, 2025

Privacy-preserving federated learning with intermediate-level model sharing.

Hashan Ratnayake, Lin Chen, Xiaofeng Ding

Expert Syst. Appl., 2025

Privacy-Preserving Hierarchical Federated Learning With Front-Loaded Differential Privacy Mechanism.

Hashan Ratnayake, Lin Chen, Xiaofeng Ding

Concurr. Comput. Pract. Exp., 2025

2024

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization.

Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin

IEEE Trans. Knowl. Data Eng., September, 2024

Differentially Private Federated Learning With Importance Client Sampling.

Lin Chen, Xiaofeng Ding, Mengqi Li, Hai Jin

IEEE Trans. Consumer Electron., February, 2024

2023

Post-Quantum Security: Opportunities and Challenges.

Silong Li, Yuxiang Chen, Lin Chen, Jing Liao, Chanchan Kuang, Kuan-Ching Li, Wei Liang, Naixue Xiong

Sensors, October, 2023

Distributed dynamic online learning with differential privacy via path-length measurement.

Lin Chen, Xiaofeng Ding, Pan Zhou, Hai Jin

Inf. Sci., June, 2023

Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization.

Lin Chen, Danyang Yue, Xiaofeng Ding, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Inf. Forensics Secur., 2023

VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints.

Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

BFT Consensus Algorithms.

Xiaojun Zhang, Weiyu Zhong, Ce Yang, Lin Chen, Jing Liao, Naixue Xiong

Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023

Deep Learning Emotion Recognition Method.

Weidong Xiao, Wenjin Tan, Naixue Xiong, Ce Yang, Lin Chen, Rui Xie

Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023

2022

Overview of Medical Data Privacy Protection based on Blockchain Technology.

Lin Chen, Qingchun Yu, Wei Liang, Jiahong Cai, Hangyu Zhu, Songyou Xie

Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022

2021

Differentially Private Deep Learning with Iterative Gradient Descent Optimization.

Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin

Trans. Data Sci., 2021

Dynamic online convex optimization with long-term constraints via virtual queue.

Xiaofeng Ding, Lin Chen, Pan Zhou, Zichuan Xu, Shiping Wen, John C. S. Lui, Hai Jin

Inf. Sci., 2021

2020

A Survey: Machine Learning Based Security Analytics Approaches and Applications of Blockchain in Network Security.

Lin Chen, Huahui Lv, Kai Fan, Hang Yang, Xiaoyun Kuang, Aidong Xu, Yiwei Yang

Proceedings of the 3rd International Conference on Smart BlockChain, 2020

Anomaly Detection on Time-series Logs for Industrial Network.

Lin Chen, Xiaoyun Kuang, Aidong Xu, Yiwei Yang, Siliang Suo

Proceedings of the 3rd International Conference on Smart BlockChain, 2020

A Novel Network Intrusion Detection System Based on CNN.

Lin Chen, Xiaoyun Kuang, Aidong Xu, Siliang Suo, Yiwei Yang

Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

Detecting Advanced Attacks Based On Linux Logs.

Lin Chen, Aidong Xu, Xiaoyun Kuang, Huahui Lv, Hang Yang, Yiwei Yang, Bo Li

Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020