Minghao Ye

22 papers A* 1A 2B 5C 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning-Based Adaptive Range Routing for Traffic Engineering With Graph Neural Networks.
IEEE Trans. Netw.
Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2025 — conf
Critical Flow Range Routing for Wide Area Networks.
APNet
Chong Wu, Xiaoyang Fu, Minghao Ye, Zehua Guo
2025 J jnl
DINA: Toward Determined In-Network Aggregation for Distributed Machine Learning.
IEEE Trans. Netw.
Haowen Zhu, Zehua Guo, Minghao Ye
2025 C conf
Dynamic Path Switching for Traffic Engineering in SD-WAN with eBPF.
HPSR
Minghao Ye, Boyu Han, Xing Fang, Xiaocheng Zou, Xingda Bao, Xiao Xie, Senlin Xiao, Yihao Lin, H. Jonathan Chao
2025 J jnl
Path-Based Graph Neural Network for Robust and Resilient Routing in Distributed Traffic Engineering.
IEEE J. Sel. Areas Commun.
Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2025 A conf
RGB-Thermal Visual Place Recognition via Vision Foundation Model.
IROS
Minghao Ye, Xiao Liu, Yu Wang, Lu Liu, Haoyao Chen
2025 J jnl
RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction.
CoRR
Weifeng Lu, Minghao Ye, Zewei Ye, Ruihan Tao, Shuo Yang, Bo Zhao
2024 J jnl
Prophet: Traffic Engineering-Centric Traffic Matrix Prediction.
IEEE/ACM Trans. Netw.
Yuntian Zhang, Ning Han, Tengteng Zhu, Junjie Zhang, Minghao Ye, Songshi Dou, Zehua Guo
2024 B conf
Toward Determined Service for Distributed Machine Learning.
IWQoS
Haowen Zhu, Minghao Ye, Zehua Guo
2023 C conf
A Modified Cockcroft-Walton Quasi-Z Source Inverter with High Voltage Gain for Photovoltaic Systems.
IECON
Zhen Guo, Di Tong, Minghao Ye, Shuang Chen, Jiqiu Nai, Pengfei Xue, Yanbing Tian, Min Zhang, Chengqun Fang
2023 J jnl
FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks.
IEEE/ACM Trans. Netw.
Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2023 A* conf
LARRI: Learning-based Adaptive Range Routing for Highly Dynamic Traffic in WANs.
INFOCOM
Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2023 B conf
Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing.
IWQoS
Minghao Ye, Yang Hu, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2023 B conf
Roracle: Enabling Lookahead Routing for Scalable Traffic Engineering with Supervised Learning.
ICNP
Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2022 J jnl
Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning.
IEEE J. Sel. Areas Commun.
Minghao Ye, Yang Hu, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2022 A conf
RL-AFEC: adaptive forward error correction for real-time video communication based on reinforcement learning.
MMSys
Ke Chen, Han Wang, Shuwen Fang, Xiaotian Li, Minghao Ye, H. Jonathan Chao
2021 B conf
DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks.
IWQoS
Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2021 B conf
Federated Traffic Engineering with Supervised Learning in Multi-region Networks.
ICNP
Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao
2020 J jnl
CFR-RL: Traffic Engineering With Reinforcement Learning in SDN.
IEEE J. Sel. Areas Commun.
Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, H. Jonathan Chao
2020 J jnl
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN.
CoRR
Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, H. Jonathan Chao
2020 — conf
SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering.
NetAI@SIGCOMM
Junjie Zhang, Zehua Guo, Minghao Ye, H. Jonathan Chao
2019 J jnl
Multivariate Multi-Order Markov Multi-Modal Prediction With Its Applications in Network Traffic Management.
IEEE Trans. Netw. Serv. Manag.
Huazhong Liu, Laurence T. Yang, Jinjun Chen, Minghao Ye, Jihong Ding, Liwei Kuang