个人简介
郭迎亚，女，博士，副教授，硕士生导师，福建省高层次人才B 类，中国计算机学会互联网专委会执行委员，福建省计算机学会理事。研究方向为计算机网络以及人工智能算法在网络中的应用，具体包括流量工程，软件定义网络，智能路由，边缘计算，物联网，网络流量异常检测。主持参与国家重点研发计划项目、国家863项目、国家自然科学基金项目、福建省自然科学基金、福建省中青年教师教育科研项目等多项国家级和省级科研项目，在IEEE International Conference on Computer Communications (INFOCOM)、ACM International Conference on Emerging Networking Experiments and Technologies (CoNEXT)、IEEE International Conference on Network Protocols (ICNP)、IEEE/ACM Transaction on Networking (TON)、IIEEE Transactions on Mobile Computing (TMC)等国家高水平期刊和会议发表论文40余篇，授权国家发明专利3项，担任国际期刊IEEE Transactions on Parallel and Distributed Systems (TPDS)，IEEE/ACM Transaction On Networking (TON)，Journal of Network and Computer Application (JNCA)，Computer Networks (CN)，IEEE/ACM International Symposium on Quality of Service (IWQoS)等国际会议与期刊的审稿人。跟国内外各大高校，清华大学，浙江大学，中国科学院，香港理工大学，复旦大学，厦门大学，以及国内公司，阿里巴巴，腾讯，华为保持紧密的合作和联系。AINET课题组每年招收2-3名硕士研究生和若干本科生，欢迎对网络和人工智能感兴趣的本科生和硕士生邮件联系我（邮件请附上自己的简历和成绩单）。希望学生具有扎实的计算机和数学基础，较强的写作技能，勤奋努力，性格好。更多信息详见个人主页：https://yingyaguo.github.io/。
主持科研项目
1. 国家自然科学基金青年基金项目，混合软件定义网络下基于深度增强学习的路由优化研究，主持，2021.1-2023.12，已结题
2. 福建省自然科学基金青年项目，基于深度增强学习的混合软件定义网络智能路由方法研究，主持，2020.11-2023.11，已结题
3. 福建省教育厅中青年教师教育科研项目，面向流量工程的互联网智能路由研究，主持，2020.05-2022.05，已结题
近年发表的主要论文
1. Siping Shi, Yingya Guo*, Dan Wang, Yifei Zhu, Zhu Han. Distributionally Robust Federated Learning for Network Traffic Classification with Noisy Labels[J]. IEEE Transactions on Mobile Computing, 2023, Doi: 10.1109/TMC.2023.3319657,1-15. (CCF-A, 中科院一区SCI)
2. Han Zhang, Xia Yin, Xingang Shi*, Yingya Guo, Tian Lan, Yahui Li, and Haijun Geng. Achieving High Availability in Inter-DC WAN Traffic Engineering [J]. IEEE/ACM Transactions on Networking, 2022:1-16. (CCF-A)
3. Ying Tian, Zhiliang Wang*, Xia Yin, Xingang Shi, Yingya Guo, Haijun Geng and Jiahai Yang. Traffic Engineering in Partially Deployed Segment Routing over IPv6 Network with Deep Reinforcement Learning [J]. IEEE/ACM Transactions on Networking, 2020, 28(4): 1573-1586. (CCF-A)
4. Yingya Guo, Dan Wang*. FEAT: A Federated Approach for Privacy-Preserving Network Traffic Classification in Heterogeneous Environments[J]. IEEE Internet of Things Journal, 2022, 10 (2): 1274-1285. (物联网顶刊，中科院一区SCI)
5. Yingya Guo, Yulong Ma, Huan Luo* and Jianping Wu. Traffic Engineering in a Shared Inter-DC WAN via Deep Reinforcement Learning[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(4): 2870-2881. (中科院一区SCI)
6. Yingya Guo, Yufei Peng, Run Hao and Xiang Tang*. Capturing spatial–temporal correlations with Attention based Graph Convolutional Network for network traffic prediction[J]. Journal of Network and Computer Applications, 2023, 220: 103746. (中科院二区SCI)
7. Yingya Guo, Weipeng Wang, Han Zhang*, Wenzhong Guo, Zhiliang Wang, Ying Tian, Xia Yin and Jianping Wu. Traffic engineering in hybrid software defined network via reinforcement learning[J]. Journal of Network and Computer Applications, 2021,189: 103-116. (中科院二区SCI)
8. Yingya Guo, Zhiliang Wang, Xia Yin, Xingang Shi and Jianping Wu. Traffic Engineering in SDN/OSPF Hybrid Network[C]. IEEE International Conference on Network Protocols (ICNP) , 2014: 563-568. (CCF-B, 谷歌学术引用次数175次)
9. Cheng Hu, Yingya Guo*, Yuhui Deng, Longya Lang, et al. Improve the energy efficiency of datacenters with the awareness of workload variability[J]. IEEE Transactions on Network and Service Management, 2022, 19(2): 1260-1273. (中科院二区SCI)
10. Han Zhang, Xingang Shi *, Xia Yin, Jilong Wang, Zhiliang Wang, Yingya Guo, Tian Lan. Boosting Bandwidth Availability over Inter-DC WAN[C]. ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), 2021: 297-312. (CCF-B)
