焦阳
职称:中级
所在院系:计算机工程系
研究方向:AI+网络、机器学习、分布式优化
电话:
邮箱:yang.jiao@seu.edu.cn
职务:
个人简介

焦阳,博士,东南大学计算机科学与工程学院讲师。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 等国际知名期刊与会议上发表学术论文十余篇。

研究方向
教育经历
工作经历
科研项目
论文著作
  • Jiao Y, Yang K, Song D. Federated distributionally robust optimization with non-convex objectives: Algorithm and analysis[J]. IEEE Transactions on Mobile Computing, 2026, 25(1): 1219-1235.(CCF-A,JCR 1区)

  • Jiao Y, Yang K, Song D. Distributed distributionally robust optimization with non-convex objectives[C]//Advances in Neural Information Processing Systems (NeurIPS). New Orleans, Louisiana, USA: MIT Press, 2022: 7987-7999.(CCF-A)

  • Jiao Y, Yang K, Wu T, et al. Provably convergent federated trilevel learning[C]//Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Vancouver, Canada: AAAI, 2024: 12928-12937. (CCF-A)

  • Jiao Y, Yang K, Jian C. DTZO: Distributed trilevel zeroth order learning with provable non-asymptotic convergence[C]//International Conference on Machine Learning (ICML). Vancouver, Canada: PMLR, 2025: 27873-27916. (CCF-A)

  • Jiao Y, Yang K, Wu T, et al. Asynchronous distributed bilevel optimization[C]//International Conference on Learning Representations (ICLR). Kigali, Rwanda, 2023.(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[C]//International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). Padua, Italy: ACM, 2025: 656-667.(CCF-A)

  • Jiao Y, Yang K, Song D, et al. Timeautoad: Autonomous anomaly detection with self-supervised contrastive loss for multivariate time series[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(3): 1604-1619.(JCR 1区)

  • Jian C, Yang K, Jiao Y. Tri-level navigator: LLM-empowered tri-level learning for time series OOD generalization[C]//Advances in Neural Information Processing Systems (NeurIPS). Vancouver, Canada: MIT Press, 2024: 110613-110642.(CCF-A)

  • Han P, Wang S, Jiao Y, et al. Federated learning while providing model as a service: Joint training and inference optimization[C]//IEEE INFOCOM 2024-IEEE Conference on Computer Communications. Vancouver, Canada: IEEE, 2024: 631-640.(CCF-A)

  • Dou S, Yang K, Jiao Y, et al. Anomaly detection in event-triggered traffic time series via similarity learning[J]. IEEE Transactions on Dependable and Secure Computing, 2024, 22(2): 888-902.(CCF-A,JCR 1区)

  • Ma H, Yang K, Jiao Y. Cellular traffic prediction via byzantine-robust asynchronous federated learning[J]. IEEE Transactions on Network Science and Engineering, 2025, 12(4): 2402-2414.(JCR 1区)

  • Huang K, Jiao Y, Liu C, et al. Robust network structure reconstruction based on bayesian compressive sensing[J]. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019, 29(9).

专利
获奖情况
  • 联系方式
  • 通信地址:南京市江宁区东南大学路2号东南大学九龙湖校区计算机学院
  • 邮政编码:211189
  • ​办公地点:东南大学九龙湖校区计算机楼
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