Minghao Ye

According to our database, Minghao Ye authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Prophet: Traffic Engineering-Centric Traffic Matrix Prediction.

Yuntian Zhang, Ning Han, Tengteng Zhu, Junjie Zhang, Minghao Ye, Songshi Dou, Zehua Guo

IEEE/ACM Trans. Netw., February, 2024

2023

FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks.

Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao

IEEE/ACM Trans. Netw., August, 2023

Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing.

Minghao Ye, Yang Hu, Junjie Zhang, Zehua Guo, H. Jonathan Chao

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

LARRI: Learning-based Adaptive Range Routing for Highly Dynamic Traffic in WANs.

Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao

Proceedings of the IEEE INFOCOM 2023, 2023

A Modified Cockcroft-Walton Quasi-Z Source Inverter with High Voltage Gain for Photovoltaic Systems.

Zhen Guo, Di Tong, Minghao Ye, Shuang Chen, Jiqiu Nai, Pengfei Xue, Yanbing Tian, Min Zhang, Chengqun Fang

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Roracle: Enabling Lookahead Routing for Scalable Traffic Engineering with Supervised Learning.

Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

2022

Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning.

Minghao Ye, Yang Hu, Junjie Zhang, Zehua Guo, H. Jonathan Chao

IEEE J. Sel. Areas Commun., 2022

RL-AFEC: adaptive forward error correction for real-time video communication based on reinforcement learning.

Ke Chen, Han Wang, Shuwen Fang, Xiaotian Li, Minghao Ye, H. Jonathan Chao

Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

2021

DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks.

Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Federated Traffic Engineering with Supervised Learning in Multi-region Networks.

Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020

CFR-RL: Traffic Engineering With Reinforcement Learning in SDN.

Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, H. Jonathan Chao

IEEE J. Sel. Areas Commun., 2020

SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering.

Junjie Zhang, Zehua Guo, Minghao Ye, H. Jonathan Chao

Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

2019

Multivariate Multi-Order Markov Multi-Modal Prediction With Its Applications in Network Traffic Management.

Huazhong Liu, Laurence T. Yang, Jinjun Chen, Minghao Ye, Jihong Ding, Liwei Kuang

IEEE Trans. Netw. Serv. Manag., 2019