The analysis of queuing system based on support vector machine. - Gensheng Hu; Fei-qi Deng (ICARCV, 2004)

Application of Support Vector Machine in Queuing System. - Gensheng Hu; Feiqi Deng (ISNN (1), 2004)

Multi-output Support Vector Machine Regression and Its Online Learning. - Gensheng Hu; Liang Dong (CSSE (4), 2008)

Thin Cloud Removing Approach of Color Remote Sensing Image Based on Support Vector Machine. - Jie Kong; Gensheng Hu; Dong Liang (APWCS, 2010)

The spectral matching algorithm based on hyperbolic mahalanobis metric. - Wenxia Bao; Guo-fen Yu; Gensheng Hu; Dong Liang 009; Shao-mei Yan (CISP-BMEI, 2017)

Recognition of Group Activities Based on M-DTCWT and Elliptic Mahalanobis Metrics. - Gensheng Hu; Min Li; Dong Liang 009; Wenxia Bao (IGTA, 2017)

A low shot learning method for tea leaf's disease identification. - Gensheng Hu; Haoyu Wu; Yan Zhang 106; Mingzhu Wan (Comput. Electron. Agric., 2019)

Identification of tea leaf diseases by using an improved deep convolutional neural network. - Gensheng Hu; Xiaowei Yang; Yan Zhang 106; Mingzhu Wan (Sustain. Comput. Informatics Syst., 2019)

MMFS: A grape disease recognition method based on multi-feature fusion and SVM. - Yawen Wu; Jingjing Wu; Gensheng Hu (ICCBDC, 2020)

Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network. - Gensheng Hu; Suqing Li; Mingzhu Wan; Wenxia Bao (Appl. Soft Comput., 2021)

Lightweight convolutional neural network model for field wheat ear disease identification. - Wenxia Bao; Xinghua Yang; Dong Liang 009; Gensheng Hu; Xianjun Yang (Comput. Electron. Agric., 2021)

Detection and severity analysis of tea leaf blight based on deep learning. - Gensheng Hu; Huaiyu Wang; Yan Zhang 106; Mingzhu Wan (Comput. Electr. Eng., 2021)

Detection of Abnormal Vibration Dampers on Transmission Lines in UAV Remote Sensing Images with PMA-YOLO. - Wenxia Bao; Yangxun Ren; Nian Wang; Gensheng Hu; Xianjun Yang (Remote. Sens., 2021)

Identification of wheat leaf diseases and their severity based on elliptical-maximum margin criterion metric learning. - Wenxia Bao; Jian Zhao; Gensheng Hu; Dongyan Zhang 001; Linsheng Huang; Dong Liang 009 (Sustain. Comput. Informatics Syst., 2021)

Identification Method for Rice Pests with Small Sample Size Problems Combining Deep Learning and Metric Learning. - Gensheng Hu; Xin Tang; Weihui Zeng; Dong Liang 009; Xiaowei Yang (PRCV (4), 2022)

Lightweight dense-scale network (LDSNet) for corn leaf disease identification. - Weihui Zeng; Haidong Li; Gensheng Hu; Dong Liang 009 (Comput. Electron. Agric., 2022)

Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images. - Gensheng Hu; Pan Yao; Mingzhu Wan; Wenxia Bao; Weihui Zeng (Ecol. Informatics, 2022)

Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases. - Gensheng Hu; Min Fang (Sustain. Comput. Informatics Syst., 2022)

Identification of maize leaf diseases by using the SKPSNet-50 convolutional neural network model. - Weihui Zeng; Haidong Li; Gensheng Hu; Dong Liang 009 (Sustain. Comput. Informatics Syst., 2022)

A Counting Algorithm for Adhesion of Wheat Scab Spore Based on Contour Angle-to-distance Ratio. - Wenfeng Tao; Tao Cheng; Dongyan Zhang 001; Gensheng Hu; Gan Zhang; Chunyan Gu 001; Xue Yang; Xin-Gen Zhou (Agro-Geoinformatics, 2023)

A quantum-based building block for designing a nanoscale full adder circuit with power analysis. - Jie Xu 019; Gensheng Hu; Dingjun Qian (Integr., 2023)

UAV remote sensing detection of tea leaf blight based on DDMA-YOLO. - Wenxia Bao; Ziqiang Zhu; Gensheng Hu; Xingen Zhou; Dongyan Zhang 001; Xianjun Yang (Comput. Electron. Agric., 2023)

Enhancing model performance in detecting lodging areas in wheat fields using UAV RGB Imagery: Considering spatial and temporal variations. - Gan Zhang; Haifeng Yan; Dongyan Zhang 001; Huihui Zhang 001; Tao Cheng; Gensheng Hu; Shuhao Shen; Haifeng Xu (Comput. Electron. Agric., 2023)

Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention. - Wenxia Bao; Chengpei Huang; Gensheng Hu; Biaobiao Su; Xianjun Yang (Comput. Electron. Agric., 2024)

IAE-SDNet: An End-to-End Image Adaptive Enhancement and Wheat Scab Detection Network Using UAV. - Wenxia Bao; Zihao Yang; Penfei Zhang; Gensheng Hu; Linsheng Huang; Xianjun Yang (IEEE Trans. Geosci. Remote. Sens., 2024)

Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images. - Gensheng Hu; Ruohan Ye; Mingzhu Wan; Wenxia Bao; Yan Zhang 106; Weihui Zeng (IEEE Trans. Geosci. Remote. Sens., 2024)

Surface defect identification method for hot-rolled steel plates based on random data balancing and lightweight convolutional neural network. - Weihui Zeng; Junyan Wang; Peng Chen; Zhimin Zhong; Gensheng Hu; Wenxia Bao (Signal Image Video Process., 2024)

A domain adaptive wheat scab detection method for UAV images. - Wenxia Bao; Zihao Yang; Pengfei Zhang; Fangmei Hu; Gensheng Hu; Linsheng Huang; Xianjun Yang (Comput. Electron. Agric., 2025)

A dual-branch network integrating spatial domain and frequency domain information for detecting tea leaf blight at different stages. - Gensheng Hu; Zijing Wei; Yongcheng Jiang (Comput. Electron. Agric., 2025)

A semi-supervised detection method for multi-scale tea geometrid by integrating intra- and inter-class information in natural scene images. - Gensheng Hu; Yunlong Zhao; Wenxia Bao; Dongyan Zhang 001 (Comput. Electron. Agric., 2025)

An efficient detection method for tea leaf blight in UAV remote sensing images under intense lighting conditions based on MLDNet. - Yongcheng Jiang; Zijing Wei; Gensheng Hu (Comput. Electron. Agric., 2025)

Detection of Tea Leaf Blight From UAV Remote Sensing Images in Overcast and Low-Light Conditions. - Gensheng Hu; Jiahang Zou (IEEE Trans. Instrum. Meas., 2025)

C4D-YOLOv8: improved YOLOv8 for object detection on drone-captured images. - Weihui Zeng; Pengcheng Wu; Junyan Wang; Gensheng Hu; Jinling Zhao (Signal Image Video Process., 2025)