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)

SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering. - Junjie Zhang 001; Zehua Guo 001; Minghao Ye; H. Jonathan Chao (NetAI@SIGCOMM, 2020)

CFR-RL: Traffic Engineering With Reinforcement Learning in SDN. - Junjie Zhang 001; Minghao Ye; Zehua Guo 001; Chen-Yu Yen; H. Jonathan Chao (IEEE J. Sel. Areas Commun., 2020)

Federated Traffic Engineering with Supervised Learning in Multi-region Networks. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (ICNP, 2021)

DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IWQoS, 2021)

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 (MMSys, 2022)

Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning. - Minghao Ye; Yang Hu; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IEEE J. Sel. Areas Commun., 2022)

Roracle: Enabling Lookahead Routing for Scalable Traffic Engineering with Supervised Learning. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (ICNP, 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 (IECON, 2023)

LARRI: Learning-based Adaptive Range Routing for Highly Dynamic Traffic in WANs. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (INFOCOM, 2023)

Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing. - Minghao Ye; Yang Hu; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IWQoS, 2023)

FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IEEE/ACM Trans. Netw., 2023)

Toward Determined Service for Distributed Machine Learning. - Haowen Zhu; Minghao Ye; Zehua Guo 001 (IWQoS, 2024)

Prophet: Traffic Engineering-Centric Traffic Matrix Prediction. - Yuntian Zhang; Ning Han; Tengteng Zhu; Junjie Zhang 001; Minghao Ye; Songshi Dou; Zehua Guo 001 (IEEE/ACM Trans. Netw., 2024)

Dynamic Path Switching for Traffic Engineering in SD-WAN with eBPF. - Minghao Ye; Boyu Han; Xing Fang; Xiaocheng Zou; Xingda Bao; Xiao Xie; Senlin Xiao; Yihao Lin; H. Jonathan Chao (HPSR, 2025)

Path-Based Graph Neural Network for Robust and Resilient Routing in Distributed Traffic Engineering. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IEEE J. Sel. Areas Commun., 2025)

RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction. - Weifeng Lu; Minghao Ye; Zewei Ye; Ruihan Tao; Shuo Yang; Bo Zhao 015 (CoRR, 2025)