Hongtai Yao

According to our database, Hongtai Yao authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Secure symbol-level precoding for reconfigurable intelligent surface-aided cell-free networks.

Hongtai Yao, Zewen Li, Yong Jin, Zhentao Hu, Qinglan Peng

J. Supercomput., July, 2024

Power Line Detection for Aerial Images Using Object-Based Markov Random Field With Discrete Multineighborhood System.

Le Zhao, Hongtai Yao, Yajun Fan, Haihua Ma, Zhihui Li, Meng Tian

IEEE Geosci. Remote. Sens. Lett., 2024

2023

SceneNet: A Multifeature Joint Embedding Network With Complexity Assessment for Power Line Scene Classification.

Le Zhao, Hongtai Yao, Yajun Fan, Haihua Ma, Zhihui Li, Meng Tian

IEEE Trans. Aerosp. Electron. Syst., December, 2023

Semantic Segmentation for Remote Sensing Image Using the Multigranularity Object-Based Markov Random Field With Blinking Coefficient.

Hongtai Yao, Le Zhao, Meng Tian, Yong Jin, Zhentao Hu, Qinglan Peng, Qian Qiu

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Robust power line extraction from aerial image using object-based Gaussian-Markov random field with gravity property parameters.

Le Zhao, Hongtai Yao, Meng Tian, Xianpei Wang

Signal Process. Image Commun., 2022

Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State.

Li Gong, Xianpei Wang, Meng Tian, Hongtai Yao, Jiachuan Long

Sensors, 2022

An Object-Based Markov Random Field with Partition-Global Alternately Updated for Semantic Segmentation of High Spatial Resolution Remote Sensing Image.

Hongtai Yao, Xianpei Wang, Le Zhao, Meng Tian, Zini Jian, Li Gong, Bowen Li

Remote. Sens., 2022

Semantic Segmentation for Remote Sensing Images Using Pyramid Object-Based Markov Random Field With Dual-Track Information Transmission.

Hongtai Yao, Xianpei Wang, Le Zhao, Meng Tian, Li Gong, Bowen Li

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Multi-Dimensional Feature Fusion Network for No-Reference Quality Assessment of In-the-Wild Videos.

Jiu Jiang, Xianpei Wang, Bowen Li, Meng Tian, Hongtai Yao

Sensors, 2021

Learning to predict the quality of distorted-then-compressed images via a deep neural network.

Bowen Li, Meng Tian, Weixia Zhang, Hongtai Yao, Xianpei Wang

J. Vis. Commun. Image Represent., 2021

2020

Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images.

Bowen Li, Xianpei Wang, Weixia Zhang, Meng Tian, Hongtai Yao

IEEE Access, 2020

Computation of Worst-case Operation Scenarios against False Data Injection Attacks Considering Load Demand and Generation Uncertainties.

Meng Tian, Zhengcheng Dong, Le Zhao, Hongtai Yao, Zini Jian, Xianpei Wang

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019

Power Line Extraction From Aerial Images Using Object-Based Markov Random Field With Anisotropic Weighted Penalty.

Le Zhao, Xianpei Wang, Hongtai Yao, Meng Tian, Zini Jian

IEEE Access, 2019

2018

A Top-Down Application of Multi-Resolution Markov Random Fields with Bilateral Information in Semantic Segmentation of Remote Sensing Images.

Hongtai Yao, Min Zhang, Bingxue Wang

Proceedings of the 26th International Conference on Geoinformatics, 2018

2017

Image segmentation using a unified Markov random field model.

Xiaohui Chen, Chen Zheng, Hongtai Yao, Bingxue Wang

IET Image Process., 2017