Image segmentation using a unified Markov random field model. - Xiaohui Chen; Chen Zheng; Hongtai Yao; Bingxue Wang (IET Image Process., 2017)

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 (Geoinformatics, 2018)

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)

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 (IECON, 2020)

Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images. - Bowen Li 018; Xianpei Wang; Weixia Zhang; Meng Tian; Hongtai Yao (IEEE Access, 2020)

Learning to predict the quality of distorted-then-compressed images via a deep neural network. - Bowen Li 018; Meng Tian; Weixia Zhang; Hongtai Yao; Xianpei Wang (J. Vis. Commun. Image Represent., 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)

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 018 (IEEE Geosci. Remote. Sens. Lett., 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 018 (Remote. Sens., 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)

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)

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 002; Zhentao Hu; Qinglan Peng; Qian Qiu (IEEE Trans. Geosci. Remote. Sens., 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., 2023)

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)

Secure symbol-level precoding for reconfigurable intelligent surface-aided cell-free networks. - Hongtai Yao; Zewen Li; Yong Jin 002; Zhentao Hu; Qinglan Peng (J. Supercomput., 2024)

Improving detection performance in DFRC systems using symbol-level precoding and IRS with continuous phase shifters. - Yifan Cui; Hongtai Yao; Yong Jin; Saidi Wang; Jiajia Lv (Digit. Signal Process., 2025)

Semantic segmentation for remote sensing images using multi-layer semantic Markov random field with semantic text information. - Qian Wei; Tianyi Miao; Hongtai Yao; Sumin Jiao; Yong Jin 002; Zhentao Hu; Qinglan Peng (Digit. Signal Process., 2025)

Adaptive fixed-time output synchronization of MWRDNNs with delayed output couplings. - Qian Qiu; Jingjing Li; Jiayuan Yan; Hongtai Yao; Housheng Su (J. Frankl. Inst., 2025)