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Journal Articles
- 2024
[j2]Zeyu Luan
, Qing Li, Yong Jiang, Jingpu Duan, Ruobin Zheng, Dingding Chen, Shaoteng Liu:
MATE: When multi-agent Deep Reinforcement Learning meets Traffic Engineering in multi-domain networks. Comput. Networks 247: 110399 (2024)- [j1]Zeyu Luan, Yong Jiang, Jianhui Lv, Bo Yi, Kejun Li:
VRRC: Empowering Metaverse-Infused Driving Experience for Multiplatoon Vehicles Through IoRT. IEEE Internet Things J. 11(20): 32416-32428 (2024)
Conference and Workshop Papers
- 2023
- [c5]Zeyu Luan, Qing Li, Zutao Zhang, Yong Jiang, Meng Chen, Yu Wang, Kejun Li:
AWEsome-Cache: Dependency-Free Rule-Caching for Arbitrary Wildcard Patterns in TCAM. ICNP 2023: 1-12 - [c4]Lie Lu, Qing Li, Dan Zhao, Yuan Yang, Zeyu Luan, Jianer Zhou, Yong Jiang, Mingwei Xu:
Hawkeye: A Dynamic and Stateless Multicast Mechanism with Deep Reinforcement Learning. INFOCOM 2023: 1-10 - [c3]Zeyu Luan, Qing Li, Yi Wang, Yong Jiang:
H-Cache: Traffic-Aware Hybrid Rule-Caching in Software-Defined Networks. IPDPS 2023: 69-78 - 2021
- [c2]Zeyu Luan, Lie Lu, Qing Li, Yong Jiang:
EPC-TE: Explicit Path Control in Traffic Engineering with Deep Reinforcement Learning. GLOBECOM 2021: 1-6 - [c1]Zeyu Luan, Qing Li, Yong Jiang:
Poster: SmartTE: Partially Deployed Segment Routing for Smart Traffic Engineering with Deep Reinforcement Learning. Networking 2021: 1-3
Coauthor Index
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