Minggao Zhang

According to our database, Minggao Zhang authored at least 22 papers between 2016 and 2024.

Collaborative distances:

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

2024

Progressive Supervision via Label Decomposition: An long-term and large-scale wireless traffic forecasting method.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

Knowl. Based Syst., 2024

Periodformer: An efficient long-term time series forecasting method based on periodic attention.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

Knowl. Based Syst., 2024

Multi-Head Encoding for Extreme Label Classification.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

CoRR, 2024

Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data.

Daojun Liang, Haixia Zhang, Jing Wang, Dongfeng Yuan, Minggao Zhang

CoRR, 2024

Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Bingzheng Zhang, Minggao Zhang

CoRR, 2024

2023

Learning-Based Hierarchical Edge Caching for Cloud-Aided Heterogeneous Networks.

Dongyang Li, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

IEEE Trans. Wirel. Commun., March, 2023

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Xiaoyan Ma, Dongyang Li, Minggao Zhang

CoRR, 2023

2021

A General 3D Non-Stationary Wireless Channel Model for 5G and Beyond.

Ji Bian, Cheng-Xiang Wang, Xiqi Gao, Xiaohu You, Minggao Zhang

IEEE Trans. Wirel. Commun., 2021

Location Property of Convolutional Neural Networks for Image Classification.

Cong Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Learning-Based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks.

Mingqiang Zhang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

IEEE Internet Things J., 2021

STeP-UNet: Prediction of Moving and Communication Behaviors of Vehicles.

Daojun Liang, Haixia Zhang, Xiaotian Zhou, Dongyang Li, Dongfeng Yuan, Minggao Zhang

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

2020

A Novel CNN Training Framework: Loss Transferring.

Cong Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

IEEE Trans. Circuits Syst. Video Technol., 2020

A Novel Channel Estimation Scheme for Frequency-Selective mmWave Massive MIMO Systems.

Zhigang Song, Jian Sun, Wensheng Zhang, Cheng-Xiang Wang, Minggao Zhang

Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

2019

Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data.

Chuanting Zhang, Haixia Zhang, Jingping Qiao, Dongfeng Yuan, Minggao Zhang

IEEE J. Sel. Areas Commun., 2019

A 3D Wideband Non-Stationary Multi-Mobility Model for Vehicle-to-Vehicle MIMO Channels.

Ji Bian, Cheng-Xiang Wang, Jie Huang, Yu Liu, Jian Sun, Minggao Zhang, El-Hadi M. Aggoune

IEEE Access, 2019

Compressive Sensing and Autoencoder Based Compressed Data Aggregation for Green IoT Networks.

Mingqiang Zhang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

A WINNER+ Based 3-D Non-Stationary Wideband MIMO Channel Model.

Ji Bian, Jian Sun, Cheng-Xiang Wang, Rui Feng, Jie Huang, Yang Yang, Minggao Zhang

IEEE Trans. Wirel. Commun., 2018

Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks.

Chuanting Zhang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

IEEE Commun. Lett., 2018

A Survey of 5G Channel Measurements and Models.

Cheng-Xiang Wang, Ji Bian, Jian Sun, Wensheng Zhang, Minggao Zhang

IEEE Commun. Surv. Tutorials, 2018

2017

A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers.

Ji Bian, Yu Liu, Cheng-Xiang Wang, Jian Sun, Wensheng Zhang, Minggao Zhang

Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

A 3-D Non-stationary wideband MIMO channel model allowing for velocity variations of the mobile station.

Ji Bian, Cheng-Xiang Wang, Minggao Zhang, Xiaohu Ge, Xiqi Gao

Proceedings of the IEEE International Conference on Communications, 2017

2016

Deep Learning Based Link Prediction with Social Pattern and External Attribute Knowledge in Bibliographic Networks.

Chuanting Zhang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016