
焦阳,博士,东南大学计算机科学与工程学院讲师,硕士生导师。研究方向包括AI+网络、机器学习、分布式学习、多层优化等,在 ICML、NeurIPS、ICLR、AAAI、SIGIR、INFOCOM、IEEE TMC、IEEE TDSC 等 CCF-A 类国际知名期刊与会议上发表学术论文十余篇。
Jiao Y, Yang K. Privacy Meets Hierarchy: Differentially Private Distributed Trilevel Learning (NeurIPS,CCF-A)
Jiao Y, Yang K, Song D. Federated distributionally robust optimization with non-convex objectives: Algorithm and analysis. IEEE Transactions on Mobile Computing (CCF-A,JCR 1区)
Jiao Y, Yang K, Song D. Distributed distributionally robust optimization with non-convex objectives (NeurIPS,CCF-A)
Jiao Y, Yang K, Wu T, et al. Provably convergent federated trilevel learning (AAAI,CCF-A)
Jiao Y, Yang K, Jian C. DTZO: Distributed trilevel zeroth order learning with provable non-asymptotic convergence (ICML,CCF-A)
Jiao Y, Yang K, Wu T, et al. Asynchronous distributed bilevel optimization (ICLR,CCF-A)
Jiao Y, Wang X, Yang K. Pr-attack: Coordinated prompt-rag attacks on retrieval-augmented generation in large language models via bilevel optimization (SIGIR,CCF-A)
Jiao Y, Yang K, Song D, et al. Timeautoad: Autonomous anomaly detection with self-supervised contrastive loss for multivariate time series. IEEE Transactions on Network Science and Engineering (JCR 1区)
Jian C, Yang K, Jiao Y. Tri-level navigator: LLM-empowered tri-level learning for time series OOD generalization (NeurIPS,CCF-A)
Han P, Wang S, Jiao Y, et al. Federated learning while providing model as a service: Joint training and inference optimization (INFOCOM,CCF-A)
Dou S, Yang K, Jiao Y, et al. Anomaly detection in event-triggered traffic time series via similarity learning. IEEE Transactions on Dependable and Secure Computing (CCF-A,JCR 1区)
Ma H, Yang K, Jiao Y. Cellular traffic prediction via byzantine-robust asynchronous federated learning. IEEE Transactions on Network Science and Engineering (JCR 1区)
Huang K, Jiao Y, Liu C, et al. Robust network structure reconstruction based on bayesian compressive sensing. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019, 29(9).