1、基本信息
姓名：陈林
办公地点：科学会堂417
专业职称：讲师（高校）
博/硕导：硕士生导师
硕士生招生专业：计算机科学与技术 人工智能 软件工程 教育技术学等
邮箱：linchen@ccnu.edu.cn
2、科研项目
国家自然科学基金青年科学基金项目（C类），2026.01-2028.12，主持，在研
中国博士后科学基金面上项目，2026-2028，主持，在研
中央高校基本科研业务费，2024-2026，主持，在研
3、学术活动
担任TAC、TIFS、TNNLS、TCNS、TAI、TETCI、TCE、FCS、EAAI、PR等期刊审稿人。
4、学术兼职
期刊/会议审稿人 期刊：IEEE TAC, TIFS, TNNLS, TCNS, TCE, TAI, TETCI, OJSP；Elsevier EAAI, INS, ESWA, CN, INFFUS, JFI, PR 会议：IJCAI，AAAI，CDC
中国中文信息学会会员
5、讲授课程
数据结构、信息安全与伦理、高等程序设计
6、发表论文
Lin Chen, Danyang Yue, Xiaofeng Ding, Zuan Wang, Kim-Kwang Raymond Choo, and Hai Jin. “Differentially private deep learning with dynamic privacy budget allocation and adaptive optimization.” IEEE Transactions on Information Forensics and Security (TIFS), 18(2023): 4422-4435. （CCF-A，中科院1区）
Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, and Hai Jin. “Differentially private federated learning on non-iid data: Convergence analysis and adaptive optimization.” IEEE Transactions on Knowledge and Data Engineering (TKDE), 36.9(2024): 4567-4581. （CCF-A，中科院1区）
Lin Chen, Pan Zhou, Xiaofeng Ding, Huanle Xu, and John C.S. Lui. “Differentially private online convex optimization with long-term constraints via Gaussian mechanism and virtual queue.” IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 10.1(2026): 952-966. （JCR Q1）
Lin Chen, Xiaofeng Ding, Mengqi Li, and Hai Jin. “Differentially private federated learning with importance client sampling.” IEEE Transactions on Consumer Electronics, 70.1(2024): 3635-3649. （JCR Q1）
Xiaofeng Ding, Lin Chen*, Pan Zhou, Wenbin Jiang, and Hai Jin. “Differentially private deep learning with iterative gradient descent optimization.” ACM Transactions on Data Science (TDS), 2.4(2022): 1-27.
Lin Chen, Xiaofeng Ding, Pan Zhou, and Hai Jin. “Distributed dynamic online learning with differential privacy via path-length measurement.” Information Sciences, 630(2023): 135-157. （CCF-B）
Ratnayake Hashan, Lin Chen*, and Xiaofeng Ding. “Privacy-preserving federated learning with intermediate-level model sharing.” Expert Systems with Applications, 291(2025): 1-21. （中科院1区）
Lin Chen, Yanwu Wang, Wu Yang, and Jiangwen Xiao. “Robust consensus of fractional-order multi-agent systems with input saturation and external disturbances.” Neurocomputing, 303(2018): 11-19. （JCR Q1）
Ratnayake Hashan, Lin Chen*, and Xiaofeng Ding. “A review of federated learning: taxonomy, privacy and future directions.” Journal of Intelligent Information Systems, 61.3(2023): 923-949. （JCR Q2）
Lin Chen, Wensen Wang, Hao Wu, Yan Lei, and Jiangwen Xiao. “H∞ consensus control of fractional-order multi-agent systems over the directed graph.” In: Proceedings of the 37th Chinese Control Conference, Wuhan, China, 2018: 6659-6664. （CAA-A）
Ratnayake Hashan, Lin Chen*, and Xiaofeng Ding. “Privacy‐preserving hierarchical federated learning with front‐loaded differential privacy mechanism." Concurrency and Computation: Practice and Experience, 37.27(2025): 1-20
