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个人信息
- 所在单位：信息管理学院
- 学历：硕士研究生毕业
- 学位：管理学硕士学位
- Yao Xianze,Lin Haifeng,Bai Di,Zhou Hongping.A Small Target Tea Leaf Disease Detection Model Combined with Transfer Learning,FORESTS,2024,15(4)(共同通讯作者)
- Wang Guodong,Bai Di,Lin Haifeng,Zhou Hongping,Qian Jingjing.FireViTNet: A hybrid model integrating ViT and CNNs for forest fire segmentation,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2024,218(共同通讯作者)
- Chen Zhichao,Zhou Hongping,Lin Haifeng,Bai Di.TeaViTNet: Tea Disease and Pest Detection Model Based on Fused Multiscale Attention,AGRONOMY-BASEL,2024,14(3):-(参与作者)
- 白荻,王寅凯,熊燕华.基于集成学习的茶树病虫害检测方法,南京农业大学学报,2024,(第一作者)
- Jin Li,Yu Yanqi,Zhou Jianing,Bai Di,Lin Haifeng,Zhou Hongping.SWVR: A Lightweight Deep Learning Algorithm for Forest Fire Detection and Recognition,FORESTS,2024,15(1)(共同通讯作者)
- Qian Jingjing,Lin Ji,Bai Di,Xu Renjie,Lin Haifeng.Omni-Dimensional Dynamic Convolution Meets Bottleneck Transformer: A Novel Improved High Accuracy Forest Fire Smoke Detection Model,FORESTS,2023,14(4)(共同通讯作者)
- Qian Jiachen,Bai Di,Jiao Wanguo,Jiang Ling,Xu Renjie,Lin Haifeng,Wang Tian.A High-Precision Ensemble Model for Forest Fire Detection in Large and Small Targets,FORESTS,2023,14(10)(共同通讯作者)
- baidi.Integrated Learning-Based Pest and Disease Detection Method for Tea Leaves,FORESTS,2023,14(5)(共同通讯作者)
- baidi.YOLO-Tea: A Tea Disease Detection Model Improved by YOLOv5,FORESTS,2023,14(2)(共同通讯作者)
- Lin Haifeng,Qian Jingjing,Di Bai.Learning for Adaptive Multi-Copy Relaying in Vehicular Delay Tolerant Network,IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2023,(通讯作者)
