| DeepRMSA: A deep reinforcement learning framework for routing, modulation and spectrum assignment in elastic optical networks X Chen, B Li, R Proietti, H Lu, Z Zhu, SJB Yoo Journal of Lightwave Technology 37 (16), 4155-4163, 2019 | 177 | 2019 |
| Deep-learning-assisted network orchestration for on-demand and cost-effective vNF service chaining in inter-DC elastic optical networks B Li, W Lu, S Liu, Z Zhu Journal of Optical Communications and Networking 10 (10), D29-D41, 2018 | 103 | 2018 |
| Self-taught anomaly detection with hybrid unsupervised/supervised machine learning in optical networks X Chen, B Li, R Proietti, Z Zhu, SJB Yoo Journal of Lightwave Technology 37 (7), 1742-1749, 2019 | 91 | 2019 |
| AI-assisted knowledge-defined network orchestration for energy-efficient data center networks W Lu, L Liang, B Kong, B Li, Z Zhu IEEE Communications Magazine 58 (1), 86-92, 2020 | 50 | 2020 |
| Deep-NFVOrch: Leveraging deep reinforcement learning to achieve adaptive vNF service chaining in DCI-EONs B Li, W Lu, Z Zhu Journal of Optical Communications and Networking 12 (1), A18-A27, 2020 | 40 | 2020 |
| GNN-based hierarchical deep reinforcement learning for NFV-oriented online resource orchestration in elastic optical DCIs B Li, Z Zhu Journal of Lightwave Technology 40 (4), 935-946, 2022 | 36 | 2022 |
| DL-assisted cross-layer orchestration in software-defined IP-over-EONs: From algorithm design to system prototype S Liu, B Niu, D Li, M Wang, S Tang, J Kong, B Li, X Xie, Z Zhu Journal of Lightwave Technology 37 (17), 4426-4438, 2019 | 26 | 2019 |
| On real-time and self-taught anomaly detection in optical networks using hybrid unsupervised/supervised learning X Chen, B Li, M Shamsabardeh, R Proietti, Z Zhu, SJB Yoo 2018 European Conference on Optical Communication (ECOC), 1-3, 2018 | 25 | 2018 |
| Multi-agent deep reinforcement learning in cognitive inter-domain networking with multi-broker orchestration X Chen, B Li, R Proietti, Z Zhu, SJB Yoo 2019 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2019 | 22 | 2019 |
| Demonstration of distributed collaborative learning with end-to-end QoT estimation in multi-domain elastic optical networks X Chen, B Li, R Proietti, CY Liu, Z Zhu, SJB Yoo Optics express 27 (24), 35700-35709, 2019 | 21 | 2019 |
| Reconfiguring multicast sessions in elastic optical networks adaptively with graph-aware deep reinforcement learning X Tian, B Li, R Gu, Z Zhu Journal of Optical Communications and Networking 13 (11), 253-265, 2021 | 19 | 2021 |
| DeepCoop: Leveraging Cooperative DRL Agents to Achieve Scalable Network Automation for Multi-Domain SD-EONs. B Li, Z Zhu OFC, 1-3, 2020 | 14 | 2020 |
| Realizing AI-assisted multi-layer restoration in a software-defined IP-over-EON with deep learning: An experimental study S Liu, B Li, Z Zhu Optical Fiber Communication Conference, W4F. 1, 2018 | 13 | 2018 |
| Leveraging predictive analytics to achieve knowledge-defined orchestration in a hybrid optical/electrical DC network: Collaborative forecasting and decision making W Lu, L Liang, B Kong, B Li, Z Zhu Optical Fiber Communication Conference, Th3F. 2, 2018 | 10 | 2018 |
| Multi-agent and cooperative deep reinforcement learning for scalable network automation in multi-domain SD-EONs B Li, R Zhang, X Tian, Z Zhu IEEE Transactions on Network and Service Management 18 (4), 4801-4813, 2021 | 8 | 2021 |
| You calculate and I provision: A DRL-assisted service framework to realize distributed and tenant-driven virtual network slicing X Zhang, B Li, J Peng, X Pan, Z Zhu Journal of Lightwave Technology 39 (1), 4-16, 2021 | 7 | 2021 |
| DRL-based network orchestration to realize cooperative, distributed and tenant-driven virtual network slicing X Zhang, W Lu, B Li, Z Zhu 2019 Asia Communications and Photonics Conference (ACP), 1-3, 2019 | 7 | 2019 |
| Deep-NFVOrch: deep reinforcement learning based service framework for adaptive vNF service chaining in IDC-EONs B Li, W Lu, Z Zhu Optical Fiber Communication Conference, Th1H. 2, 2019 | 4 | 2019 |
| Designing deep learning model for accurate vNF service chain pre-deployment in inter-DC EONs B Li, W Lu, S Liu, Z Zhu 2018 Asia Communications and Photonics Conference (ACP), 1-3, 2018 | 4 | 2018 |
| To cooperate or not to cooperate: Service function chaining in multi-domain edge-cloud elastic optical networks S Li, B Li, Z Zhu Optical Fiber Communication Conference, W2A. 20, 2022 | 3 | 2022 |
Zuqing Zhu (朱祖勍)FIEEE, Professor, University of Science and Technology of China; Cisco; UC DavisVerified email at ustc.edu.cn
