教授
博士生导师
硕士生导师
所在单位：计算机学院
学历：博士研究生毕业
办公地点：中南大学新校区信息大楼
性别：男
联系方式：tz@csu.edu.cn
学位：博士学位
在职信息：在职
毕业院校：清华大学
学科：计算机科学与技术
曾获荣誉：
2018-08-01 当选： 国家级领军人才
访问量：
最后更新时间：..
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[1]Fang Qi, Shuhong Bai, Dengpeng Zou & Zhe Tang, Discrimination of black tea fermentation degree with integrated attention mechanisms.Journal of Food Measurement and Characterization
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[2]Zhe Tang, Yuancheng Su , Meng Joo Er，Fang Qi, A Local Binary Pattern Based Texture Descriptors for Classification of Tea Leaves.Neurocomputing
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[3]Zhe Tang , Jiajia Lu, Wei Xiang , Wanyu Ling , and Lingyan Zhang, LitePest: Real-Time and Efficient Detection of Agricultural Pests Using an Advanced Lightweight Deep Learning Network.ICASSP
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[4]Zhe Tang, Lin Zhou, Fang Qi, Huarong Chen, An improved lightweight and real time YOLOv5 network for detection of surface defects on indocalamus leaves.Journal of Real-Time Image Processing
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[5]Zhe Tang, Jiajia Lu, Zhengyun Chen, Fang Qi, Lingyan Zhang, Improved Pest-YOLO: Real-time pest detection based on efficient channel attention mechanism and transformer encoder.Ecological Informatics
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[6]Qi F, Xie Z, Tang Z, et al., Related study based on Otsu watershed algorithm and new squeeze-and-excitation networks for segmentation and level classification of tea buds.Neural Processing Letters
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[7]Fang Qi, Yuxiang Wang, Zhe Tang, Shuhong Chen., Real-time and effective detection of agricultural pest using an improved YOLOv5 network.Journal of Real-Time Image Processing
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[8]Zhe Tang,Jing Tang,Dengpeng Zou, Junyi Rao,Fang Qi, Two guidance joint network based on coarse map and edge map for camouflaged object detection.Applied Intelligence
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[9]Quanyun Wei, Fang Qi, Zhe Tang, Remove key escrow from the BF and Gentry identity-based encryption with non-interactive key generation.Telecommunication Systems
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[10]Fang Qi , Gangming Chen , Jieyuan Liu, Zhe Tang, End-to-end pest detection on an improved deformable DETR with multihead criss cross attention.Ecological Informatics
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[11]Qi F, Wang Y, Tang Z., Lightweight Plant Disease Classification Combining GrabCut Algorithm, New Coordinate Attention, and Channel Pruning.Neural Processing Letters
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[12]Tang Z, Li Z, Yang J, et al., P &GGD: A Joint-Way Model Optimization Strategy Based on Filter Pruning and Filter Grafting For Tea Leaves Classification.Neural Processing Letters
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[13]Zhe Tang, Zhengyun Chen, Fang Qi, Lingyan Zhang, and Shuhong Chen, est-YOLO: Deep Image Mining and Multi-Feature Fusion for Real-Time Agriculture Pest Detection.21st IEEE International Conference on Data Mining
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[14]Zhe Tang, Fang Qi, Yi Zhou, Tea Leaves Classification Based on Texture Analysis.Lecture Notes in Electrical Engineering
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[15]Zhe Tang, Jialing Yang , Zhe Li，Fang Qi, Grape disease image classification based on lightweight convolution neural networks and channelwise attention.Computers and Electronics in Agriculture
