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Minghao Ye
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2020 – today
- 2024
- [j5]Yuntian Zhang, Ning Han, Tengteng Zhu, Junjie Zhang, Minghao Ye, Songshi Dou, Zehua Guo:
Prophet: Traffic Engineering-Centric Traffic Matrix Prediction. IEEE/ACM Trans. Netw. 32(1): 822-832 (2024) - [c9]Haowen Zhu, Minghao Ye, Zehua Guo:
Toward Determined Service for Distributed Machine Learning. IWQoS 2024: 1-6 - 2023
- [j4]Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks. IEEE/ACM Trans. Netw. 31(4): 1433-1448 (2023) - [c8]Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
Roracle: Enabling Lookahead Routing for Scalable Traffic Engineering with Supervised Learning. ICNP 2023: 1-11 - [c7]Zhen Guo, Di Tong, Minghao Ye, Shuang Chen, Jiqiu Nai, Pengfei Xue, Yanbing Tian, Min Zhang, Chengqun Fang:
A Modified Cockcroft-Walton Quasi-Z Source Inverter with High Voltage Gain for Photovoltaic Systems. IECON 2023: 1-9 - [c6]Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
LARRI: Learning-based Adaptive Range Routing for Highly Dynamic Traffic in WANs. INFOCOM 2023: 1-10 - [c5]Minghao Ye, Yang Hu, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing. IWQoS 2023: 1-10 - 2022
- [j3]Minghao Ye, Yang Hu, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning. IEEE J. Sel. Areas Commun. 40(9): 2662-2677 (2022) - [c4]Ke Chen, Han Wang, Shuwen Fang, Xiaotian Li, Minghao Ye, H. Jonathan Chao:
RL-AFEC: adaptive forward error correction for real-time video communication based on reinforcement learning. MMSys 2022: 96-108 - 2021
- [c3]Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
Federated Traffic Engineering with Supervised Learning in Multi-region Networks. ICNP 2021: 1-12 - [c2]Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks. IWQoS 2021: 1-10 - 2020
- [j2]Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, H. Jonathan Chao:
CFR-RL: Traffic Engineering With Reinforcement Learning in SDN. IEEE J. Sel. Areas Commun. 38(10): 2249-2259 (2020) - [c1]Junjie Zhang, Zehua Guo, Minghao Ye, H. Jonathan Chao:
SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering. NetAI@SIGCOMM 2020: 1-7 - [i1]Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, H. Jonathan Chao:
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN. CoRR abs/2004.11986 (2020)
2010 – 2019
- 2019
- [j1]Huazhong Liu, Laurence T. Yang, Jinjun Chen, Minghao Ye, Jihong Ding, Liwei Kuang:
Multivariate Multi-Order Markov Multi-Modal Prediction With Its Applications in Network Traffic Management. IEEE Trans. Netw. Serv. Manag. 16(3): 828-841 (2019)
Coauthor Index
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