1. Han Zhang, Xia Yin, Xingang Shi*, Jilong Wang, Zhiliang Wang,Yingya Guo, Tian Lan, Yahui Li, Yongqing Zhu, Ke Ruan, Haijun Geng: Achieving High Availability in Inter-DC WAN Traffic Engineering[J]. IEEE/ACM Transactions on Networking, 2022.

2. Yingya Guo, Yulong Ma, Huan Luo*, Jianping Wu: Traffic Engineering in a Shared Inter-DC WAN via Deep Reinforcement Learning[J]. IEEE Transactions on Network Science and Engineering, 2022.

3. Han Zhang*, Xingang Shi, Xia Yin, Jilong Wang, Zhiliang Wang,Yingya Guo, Tian Lan: Boosting Bandwidth Availability over Inter-DC Wan[C]. Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Virtual Event, Germany, 2021.

4. Yingya Guo, Weipeng Wang, Han Zhang*, Wenzhong Guo, Zhiliang Wang, Ying Tian, Xia Yin, Jianping Wu:Traffic engineering in hybrid software defined network via reinforcement learning[J]. Journal of Network and Computer Applications, 2021.

5. Ying Tian, Zhiliang Wang*, Xia Yin, Xingang Shi,Yingya Guo, Haijun Geng, Jiahai Yang:Traffic Engineering in Partially Deployed Segment Routing over IPv6 Network with Deep Reinforcement Learning[J]. IEEE Transactions on Networking, 2020.

1. Yingya Guo, Jianshan Chen, Kai Huang, Jianping Wu: A Deep Reinforcement Learning Approach for Deploying SDN Switches in ISP Networks from the Perspective of Traffic Engineering[C]. 2022 IEEE 23rd International Conference on High Performance Switching and Routing (HPSR). IEEE , 2022.

2. Yingya Guo, Huan Luo, Zhiliang Wang, Xia Yin, Jianping Wu: Routing optimization with path cardinality constraints in a hybrid SDN[J]. Computer Communications , 2021.

3. Yingya Guo, Zhiliang Wang, Han Zhang, Xia Yin, Xingang Shi, Jianping Wu: Joint optimization of tasks placement and routing to minimize coflow completion time[J]. Journal of Network and Computer Applications , 2019.

4. Yingya Guo, Zhiliang Wang, Zhifeng Liu, Xia Yin, Xingang Shi, Jianping Wu, Yang Xu, H Jonathan Chao: SOTE: Traffic engineering in hybrid software defined networks[J]. Computer Networks, 2019.

1. Cheng Hu, Yingya Guo, Yuhui Deng, Longya Lang: Improve the Energy Efficiency of Datacenters with the Awareness of Workload Variability[J]. IEEE Transactions on Network and Service Management , 2022.

1. Yingya Guo, Dan Wang FEAT: A Federated Approach for Privacy-Preserving Network Traffic Classification in Heterogeneous Environments[J]. IEEE Internet of Things Journal, 2022.

2. Ziyi Zhao, Yingya Guo, Jessie Hui Wang, Haibo Wang, Chengyuan Zhang, Changqing An: CL-ETC: A Contrastive Learning Method for Encrypted Traffic Classification[C]. 2022 IFIP Networking Conference (IFIP Networking). IEEE , 2022.

3. Yingya Guo, Kai Huang, Jianshan Chen:WCL: Client selection in federated learning with a combination of model weight divergence and client training loss for Internet traffic classification[J]. Wireless Communications and Mobile Computing, 2021.