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ORCIDHongtai Yao
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2020 – today
- 2025
[j15]Yifan Cui, Hongtai Yao
, Yong Jin, Saidi Wang, Jiajia Lv:
Improving detection performance in DFRC systems using symbol-level precoding and IRS with continuous phase shifters. Digit. Signal Process. 157: 104886 (2025)- [j14]Qian Wei, Tianyi Miao, Hongtai Yao, Sumin Jiao, Yong Jin, Zhentao Hu, Qinglan Peng:
Semantic segmentation for remote sensing images using multi-layer semantic Markov random field with semantic text information. Digit. Signal Process. 162: 105174 (2025) - 2024
- [j13]Le Zhao, Hongtai Yao, Yajun Fan, Haihua Ma, Zhihui Li, Meng Tian:
Power Line Detection for Aerial Images Using Object-Based Markov Random Field With Discrete Multineighborhood System. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j12]Hongtai Yao, Zewen Li, Yong Jin, Zhentao Hu, Qinglan Peng:
Secure symbol-level precoding for reconfigurable intelligent surface-aided cell-free networks. J. Supercomput. 80(11): 15362-15385 (2024) - 2023
- [j11]Le Zhao, Hongtai Yao, Yajun Fan, Haihua Ma, Zhihui Li, Meng Tian:
SceneNet: A Multifeature Joint Embedding Network With Complexity Assessment for Power Line Scene Classification. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9094-9116 (2023) - [j10]Hongtai Yao, Le Zhao, Meng Tian, Yong Jin, Zhentao Hu, Qinglan Peng, Qian Qiu:
Semantic Segmentation for Remote Sensing Image Using the Multigranularity Object-Based Markov Random Field With Blinking Coefficient. IEEE Trans. Geosci. Remote. Sens. 61: 1-22 (2023) - 2022
- [j9]Hongtai Yao, Xianpei Wang, Le Zhao, Meng Tian, Li Gong, Bowen Li:
Semantic Segmentation for Remote Sensing Images Using Pyramid Object-Based Markov Random Field With Dual-Track Information Transmission. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j8]Hongtai Yao, Xianpei Wang, Le Zhao, Meng Tian, Zini Jian, Li Gong, Bowen Li:
An Object-Based Markov Random Field with Partition-Global Alternately Updated for Semantic Segmentation of High Spatial Resolution Remote Sensing Image. Remote. Sens. 14(1): 127 (2022) - [j7]Li Gong, Xianpei Wang, Meng Tian, Hongtai Yao, Jiachuan Long:
Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State. Sensors 22(13): 4927 (2022) - [j6]Le Zhao, Hongtai Yao, Meng Tian, Xianpei Wang:
Robust power line extraction from aerial image using object-based Gaussian-Markov random field with gravity property parameters. Signal Process. Image Commun. 103: 116634 (2022) - 2021
- [j5]Bowen Li, Meng Tian, Weixia Zhang, Hongtai Yao, Xianpei Wang:
Learning to predict the quality of distorted-then-compressed images via a deep neural network. J. Vis. Commun. Image Represent. 76: 103004 (2021) - [j4]Jiu Jiang, Xianpei Wang, Bowen Li, Meng Tian, Hongtai Yao:
Multi-Dimensional Feature Fusion Network for No-Reference Quality Assessment of In-the-Wild Videos. Sensors 21(16): 5322 (2021) - 2020
- [j3]Bowen Li, Xianpei Wang, Weixia Zhang, Meng Tian, Hongtai Yao:
Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images. IEEE Access 8: 158585-158599 (2020) - [c2]Meng Tian, Zhengcheng Dong, Le Zhao, Hongtai Yao, Zini Jian, Xianpei Wang:
Computation of Worst-case Operation Scenarios against False Data Injection Attacks Considering Load Demand and Generation Uncertainties. IECON 2020: 3359-3364
2010 – 2019
- 2019
- [j2]Le Zhao, Xianpei Wang, Hongtai Yao, Meng Tian, Zini Jian:
Power Line Extraction From Aerial Images Using Object-Based Markov Random Field With Anisotropic Weighted Penalty. IEEE Access 7: 125333-125356 (2019) - 2018
- [c1]Hongtai Yao, Min Zhang, Bingxue Wang:
A Top-Down Application of Multi-Resolution Markov Random Fields with Bilateral Information in Semantic Segmentation of Remote Sensing Images. Geoinformatics 2018: 1-6 - 2017
- [j1]Xiaohui Chen, Chen Zheng, Hongtai Yao, Bingxue Wang:
Image segmentation using a unified Markov random field model. IET Image Process. 11(10): 860-869 (2017)
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