基本信息
职称：教授
联系电话：（+86）15367990311
Email: zhougx01@163.com
联系地址：湖南省长沙市韶山南路498号中南林业科技大学电子信息与物理学院
研究领域或方向
农业人工智能；森林防火；多模态数据融合；点云数据处理；
个人简历
周国雄，男，1980年3月出生，教授，工学博士，硕士生导师。曾获得校“教学名师”、“教学先进个人” 、“优秀共产党员”、“就业先进个人”、“优秀班主任”、“工会工作积极分子”、“线上课程教学先进个人”等荣誉称号。现任湖南省仪器仪表学会理事，湖南省自动化学会会员，教育部学位论文评审专家等。
学习经历
周国雄 1998年9月至2002年7月在湖南农业大学工程技术学院攻读机械设计制造及其自动化专业，获工学学士学位；
2003年9月至2006年7月在中南大学信息科学与工程学院攻读控制理论与控制工程专业，硕士学位论文研究课题为“焦炉集气管压力智能集成解耦控制算法及其应用研究”，获工学硕士学位；
2006年9月至2010年9月，在中南大学信息科学与工程学院在职攻读控制科学与工程专业，研究方向为智能控制及过程控制，博士学位论文研究课题为“多座不对称焦炉集气管压力智能解耦与优化控制策略及应用研究”，获工学博士学位。
科研情况
目前已发表学术论文100余篇，其中以第一作者或通讯作者在RSE、IEEE TIP、ISPRS P&RS、IEEE TGRS、AUTOMAT CONSTR、CACAIE、PR、ESWA、KBS、CEA、EAAI、PJ、PP、JIA、EJA、控制理论与应用、农业工程学报等期刊上等期刊发表论文100余篇，SCI收录100篇（中科院SCI一区54篇，热点论文2篇，高被引论文7篇）、EI收录14篇，国家发明专利3项、主编教材2部。担任过Crop Protection、Frontiers in Plant scienece、Plants、Fire 等SCI期刊的客座编辑，Plant Phenomics期刊青年编委，以及担任Computers and Electronics in Agriculture、Expert Systems with Application、biosystem engineering、IEEE Internet Things of Journal等40余个国际知名SCI期刊的审稿人。
教学情况
作为第一指导老师带领学生获得美国大学生数学建模竞赛特等奖提名1项、三等奖4项；中国大学生服务外包国家二等奖3项，三等奖7项；西门子杯智能制造挑战赛国家二等奖3项；中国计算机设计大赛国家二等奖5项、三等奖9项；Robocup机器人世界杯中国赛国家三等奖3项；全国大学生电子设计竞赛湖南省三等奖1项；湖南省大学生程序设计竞赛机器人类省二等奖3项；软银杯高尔夫机器人大赛国家一等奖1项；Mathorcup全国大学生数学建模竞赛国家一等奖2项。
代表性学术成果：
[1] Li Mingxuan, Zhou Guoxiong*, Chen Aibin, Yi Jizheng, Lu Chao, He Mingfang, Hu Yahui. FWDGAN-based data augmentation for tomato leaf disease identification. Computers and Electronics in Agriculture, 2022, 194.(中科院SCI一区，if:8.3)
[2] Hu Yaowen, Zhan Jialei, Zhou Guoxiong*, Chen Aibin, Cai Weiwei, Guo Kun, Hu Yahui, Li Liujun. Fast forest smoke detection using MVMNet. Knowledge-Based Systems, 2022. (中科院SCI一区，if:8.8)
[3] Zhang Wenzhuo, Zhou Guoxiong*, Chen Aibin, Pu Ling, Hu Yahui. Deep multi-scale dual-channel convolutional neural network for Internet of Things apple disease detection. Computers and Electronics in Agriculture, 2022, 194.(中科院SCI一区，if:8.3)
[4] Zhan Jialei, Hu Yaowen, Zhou Guoxiong*, Wang Yanfeng, Cai Weiwei, Li Liujun. A high-precision forest fire smoke detection approach based on ARGNet. Computers and Electronics in Agriculture, 2022, 194.(中科院SCI一区，if:8.3)
[5] Zhan Jialei, Hu Yaowen, Zhou Guoxiong*, Wang Yanfeng, Cai Weiwei, Li Liujun. A high-precision forest fire smoke detection approach based on ARGNet, Computers and Electronics in Agriculture, 2022, 196, 106874.(中科院SCI一区Top期刊，if:8.3)
[6] Fang Shundong, Wang Yanfeng, Zhou Guoxiong*, Chen Aibin, Cai Weiwei, Wang Qifang, Hu Yahui, Li Liujun. Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds, Computers and Electronics in Agriculture, 2022, 203, 107486(中科院SCI一区Top期刊，if:8.3)
[7] Zhang Yukai, Huang Shuangjie, Zhou Guoxiong*, Hu Yahui, Li Liujun. Identification of tomato leaf diseases based on multi-channel automatic orientation recurrent attention network Computers and Electronics in Agriculture, 2023, 205, 107605(中科院SCI一区Top期刊，if:8.3)
[8] Zhiwen Tang, He Xinyu, Zhou Guoxiong*, Chen Aibin, Wang Yanfeng, Li Liujun, Hu Yahui. A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet, Plant Phenomics. 2023, 5(中科院SCI一区Top期刊，if:6.5)
[9] Yubao Deng, Haoran Xi, Zhou Guoxiong*, Chen Aibin, Wang Yanfeng, Li Liujun, Hu Yahui. An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet. Plant Phenomics, 2023, 5(中科院SCI一区Top期刊，if:6.5)
[10] Zhang Yukai, Zhou Guoxiong*, Chen Aibin, He Mingfang, Li Johnny, Hu Yahui. A precise apple leaf diseases detection using BCTNet under unconstrained environments. Computers and Electronics in Agriculture, Volume 212, 2023, 108132(中科院SCI一区Top期刊，if:8.3)
[11] Liangji Zhang, Lu Chao, Xu Haiwen, Chen Aibin, Li Liujun, Zhou Guoxiong*. MMFNet: Forest Fire Smoke Detection Using Multiscale Convergence Coordinated Pyramid Network with Mixed Attention and Fast-robust NMS. IEEE Internet things of journal, 2022, 123.(中科院SCI一区Top期刊，if:10.6)
[12] Wang Qifang, Chen, Aibin, Cai, Weiwei, Cai, Chuang, Fang, Shundong, Li, Liujun, Zhou Guoxiong*. Segmentation network of concrete cracks with multi-frequency OctaveRes dual encoder and cross-attention mechanism optimized by average weight. Automation in Construction, 2023, 155, 105050.(中科院SCI一区Top期刊，if:10.3)
[13] He Xinyu, Tang Zhiwen, Deng Yubao, Zhou Guoxiong*, Wang Yanfeng, Li Liujun. UAV-based road crack object-detection algorithm. Automation in Construction, 2023, 154, 105014.(中科院SCI一区Top期刊，if:10.3)
[14] Sun Lixiang, Yang Yixin, Zhou Guoxiong*, Chen Aibin, Zhang Yukai, Cai Weiwei, Li Liujun. An integration-competition network for bridge crack segmentation under complex scenes. Computer-Aided Civil and Infrastructure Engineering, 1-18. .(中科院SCI一区Top期刊，if:9.6)
[15] Zhan Jialei, Xie Yuhang, Guo Jiajia, Hu Yaowen, Zhou Guoxiong*, Cai Weiwei, Wang Yanfeng, Chen Aibin, Liu xie, Li Maopeng, Li Liujun. DGPF-RENet: A Low Data Dependence Network With Low Training Iterations for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-21, 2023, Art no. 5520521(中科院SCI一区Top期刊，CCF-B, if:8.5)
[16] Deng Jinsheng , Huang Weiqi , Zhou Guoxiong, Hu Yahui ,Li Liujun, Wang Yanfeng, Identification of Banana Leaf Disease Based on KVA and GR-ARNet1,Journal of Integrative Agriculture,2024(中科院SCI一区Top期刊)
[17] Zewei Liu, Zhou Guoxiong*, Wenke Zhu, Yi Chai, Liujun Li, Yanfeng Wang, Yahui Hu, Weisi Dai, Rui Liu, Lixiang Sun, Identification of Rice Disease Under Complex Background Based on PSOC-DRCNet, Expert Systems with Applications, 2024, 123643.(中科院SCI一区Top期刊，CCF-C, if:7.5)
[18] Sun Lixiang, Yang Yixin, Zhou Guoxiong*, Chen Aibin, Zhang Yukai, Cai Weiwei, Li Liujun. An integration-competition network for bridge crack segmentation under complex scenes. Computer-Aided Civil and Infrastructure Engineering, 1-18.(中科院SCI一区Top期刊，if:9.6)
[19] Deng Jinsheng , Huang Weiqi , Zhou Guoxiong*, Hu Yahui ,Li Liujun, Wang Yanfeng, Identification of Banana Leaf Disease Based on KVA and GR-ARNet,Journal of Integrative Agriculture, 2023, https://doi.org/10.1016/j.jia.2023.11.037.(中科院SCI一区期刊，if:4.6)
[20] Liu, Z., Yang, Z., Ren, T., Wang, Z., Deng, J., Deng, C., Zhao, H*.,Zhou Guoxiong*., Chen, A., Li, L. (2024). A hierarchical progressive recognition network for building change detection in high-resolution remote sensing images. Computer-Aided Civil and Infrastructure Engineering, 1–20. https://doi.org/10.1111/mice.13330.(中科院SCI一区Top期刊， if:8.5)
[21] Yinan Chen , Guoxiong Zhou*, Lin Li , Aibin Chen , Yanfeng Wang , Liujun Li，A high-quality self-supervised image denoising method based on SDDW-GAN and CHRNet, Expert Systems with Applications, 2024, 125157.(中科院SCI一区Top期刊，CCF-C, if:7.5)
[22] Li J, Zhao F, Zhao H,Zhou Guoxiong*, Xu J, Gao M, Li X, Dai W, Zhou H, Hu Y, et al. A Multi-Modal Open Object Detection Model for Tomato Leaf Diseases with Strong Generalization Performance Using PDC-VLD. Plant Phenomics 2024;6:Article 022.(中科院SCI一区期刊， if:7.6)
[23] Dai W, Zhu W, Zhou Guoxiong*, Liu G*, Xu J, Zhou H, Hu Y, Liu Z, Li J, Li L. AISOA-SSformer: An Effective Image Segmentation Method for Rice Leaf Disease Based on the Transformer Architecture. Plant Phenomic, 2024, 6:Article 0218.(中科院SCI一区期刊， if:7.6)
[24] Zhou H, Hu Y, Liu shuai*, Zhou Guoxiong*, Xu J, Chen A, Wang Y, Li L, Hu Y. A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net. Plant Phenomics 2024,7:Article 0168.(中科院SCI一区期刊， if:7.6)
[25] Lixiang Sun , Yixin Yang, Zaichun Yang, Zhou Guoxiong*, Liujun Li,DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes IEEE Transactions on Intelligent Transportation Systems，2024(中科院SCI一区Top期刊，CCF-B, if:7.9)
[26] Hu yang, Li mingxuan, Zhang yukai, Liu shuai* , Zhou Guoxiong*, DMFGAN: A Multi-Feature Data Augmentation Method for Grape Leaf Disease Identification, Plant Journal, 2024 (中科院SCI一区Top期刊， if:7.6)
[27] Yang Hu, Jiale Zhu, Guoxiong Zhou*, Mingfang He*, Mingjie Lv, Junhui Wang, Aibin Chen, Jinsheng Deng, Yichu Jiang, LVF: A language and vision fusion framework for tomato diseases segmentation,Computers and Electronics in Agriculture,2024,227,109484.(中科院SCI一区Top期刊， if:7.7)
[28] J. Deng, G. Gong*, Zhou Guoxiong*, M. Yan and L. Li, A gated feature fusion network with meta-encoder and self-calibrating cross module for building change detection in remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, 2024.(中科院SCI一区Top期刊， if:7.5)
[29] Liu Zerui, Zhao Junhong, Hu Yaowen , Li Rui , Deng Qiaomei , Guan Renxiang , Yang Ruoli , Xu Zhuonong*, Zhou Guoxiong*, FACNet: A high-precision pumpkin seedling point cloud organ segmentation method, Computers and Electronics in Agriculture,25, 231,110049. https://doi.org/10.1016/j.compag.2025.110049.(中科院SCI一区Top期刊， IF:8.9)
[30] Wang, Gang, He Mingfang, Liu Genhua, Li, Lliujun, Liu Exian, Zhou Guoxiong. (2025). An optimized and precise road crack segmentation network in complex scenarios. Computer-Aided Civil and Infrastructure Engineering, 2025, 1–20.(中科院SCI一区Top期刊， IF:9.1)
[31] Zhou Xun, Han Guangjie, Zhou Guoxiong*, Xue Yongfei, Lv Mingjie, Chen Aibin. Hybrid DQN-based Low-Computational Reinforcement Learning Object Detection with Adaptive Dynamic Reward Function and ROI Align-based Bounding Box Regression[J]. IEEE Transaction on Image Processing, 2025, 34, pp. 1712-1725.（中科院SCI一区Top期刊，CCF-A，IF:13.7）
[32] Yang Zaichun, Sun Lixiang, Liu Zhihuan, Deng Jinsheng, Zhang Liangji, Huang Hongxu*, Zhou Guoxiong*, Hu Yahui, Li Liujun. FATDNet: A Fusion Adversarial Network for Tomato Leaf Disease Segmentation under Complex Backgrounds[J]. Computers and Electronics in Agriculture,2025.（中科院一区TOP期刊，IF: 8.9）
[33] Zhao Tianrui , Zhou Honglin , Yan Miying*,Zhou Guoxiong*, He Chaoying , Hu Yang , Yan Xiaoyangdi Pan Meixi, Yu Yunlong, Liu Yiting , LVR: A Language and Vision Fusion Method for Rice Diseases Segmentation under complex environment[J]. European Journal of Agronomy,2025.（中科院一区TOP期刊，IF:5.5）
[34] Liu Jintao, Liu Jiahao, HeMingfang,Lin Qinlu, Zhou Guoxiong*, Ding Yuqin*. GMMNet: A precise classification model for rice grains during rice processing, Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2025.128223（中科院一区TOP期刊，IF: 7.5）
[35] Li Li, Wang Xiangjun, Zhou Guoxiong*, Zhang Huaiqing, Xue Yongfei, He Mingfang, Liu Genhua, Wang Hengrui, Li Hao. RTCrownNet: A dual-channel deep learning framework for accurate rubber tree crown extraction from UAV LiDAR point clouds, Computers and Electronics in Agriculture, 2025, 239,https://doi.org/10.1016/j.compag.2025.111093（中科院一区TOP期刊，IF: 8.9）
[36] Wang Gang, Huang Huajun, Wang Junhui, Wang Yanfeng, Yi Yabing, Gong Gufeng*, Zhou Guoxiong*. A central difference attention multi-modal segmentation network integrating continual learning and graph convolution diffusion algorithms for complex road crack segmentation, Computer-Aided Civil and Infrastructure Engineering, 2025. https://doi.org/10.1111/mice.70076（中科院一区TOP期刊，IF: 9.1）
[37] Li Hao, Zhou Guoxiong*, Wang Xiangjun*, Zhang Huaiqing*. Fine segmentation and structural parameter extraction of rubber tree point cloud based on LiDAR using the TMGH method, Computers and Electronics in Agriculture, 2025, 239: 110950. https://doi.org/10.1016/j.compag.2025.110950（中科院一区TOP期刊，IF: 8.9）
[38] Wang Hengrui, Ye Zilin, Zhang Qin, Wang Mingfang, Zhou Guoxiong*, Wang Xiangjun*, Li Li, Lin Shuqi. RsegNet: An advanced methodology for individual rubber tree segmentation and structural parameter extraction from UAV LiDAR point clouds, Plant Phenomics, 2025, 7(3): 100090. https://doi.org/10.1016/j.plaphe.2025.100090（中科院一区TOP期刊，IF: 6.4）
[39] Yan Lele, Zhou Guoxiong*, Yan Miying, Wang Xiangjun*. TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud, Plant Phenomics, 2025, 7(3): 100093. https://doi.org/10.1016/j.plaphe.2025.100093（中科院一区TOP期刊，IF: 6.4）
[40] Pan Meixi, Zhou Guoxiong*, Zhang Yuanyuan*, Yu Yunlong, Yang Jin, Zhao Tianrui, Liu Genhua. A high-precision segmentation method for rubber tree stone cells, Plant Journal, 2025, 123(3): 70371. https://doi.org/10.1111/tpj.70371（中科院一区TOP期刊，IF:5.7）
[41] Liu Zhihuan, Ren Tingting, Zhou Guoxiong, Cai Xiaoli, Zeng Yirui, Li Liujun, Hu Shipeng. An effective feature enhancement detection network for building change detection in high-resolution remote sensing images, Engineering Applications of Artificial Intelligence, 2025, 158(B): 111573. https://doi.org/10.1016/j.engappai.2025.111573（中科院一区TOP期刊，IF:8）
[42] Li Li, Ye Zilin, Li Hao, Yan Miying, Zhou Guoxiong*, Wang Xiangjun*, Wang Hengrui, Lv Mingjie. A fine-scale segmentation method for individual rubber trees based on UAV LiDAR point cloud, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 3593292. https://doi.org/10.1109/TGRS.2025.3593292（中科院一区TOP期刊，CCF-B，IF:8.6）
[43] Zhong Xiyu, Zhan Jialei, Xie Yuhang, Zhang Lingtao*, Zhou Guoxiong*, Liang Mingyue, Yang Kaitai, Guo Zonghao, Li Liujun. Adaptive deformation-learning and multiscale-integrated network for remote sensing object detection, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 3541441. https://doi.org/10.1109/TGRS.2025.3541441（中科院一区TOP期刊，CCF-B，IF:8.6）
[44] Wang Gang, Huang HuaJun, Wang JunHui, Wang YanFeng, Yi YaBing, Gong GuFeng*, Zhou Guoxiong*. A central difference attention multi-modal segmentation network integrating continual learning and graph convolution diffusion algorithms for complex road crack segmentation. Computer-Aided Civil and Infrastructure Engineering, 2025，40(28), 5170-5194. https://doi.org/10.1111/mice.70076（中科院一区TOP期刊，IF:9.1）
[45] Li Li, Wang Xiangjun, Zhou Guoxiong, Zhang Huaiqing, Xue Yongfei, He Mingfang, Liu Genhua, Wang Hengrui, Li Hao. RTCrownNet: A dual-channel deep learning framework for accurate rubber tree crown extraction from UAV LiDAR point clouds. Computers and Electronics in Agriculture, 2025, 239(Part C), 111093. https://doi.org/10.1016/j.compag.2025.111093（中科院一区TOP期刊，IF:9.1）
[46] Wang Hengrui, Wang Xiangjun, Zhang Qin, Li Li, Zhang Jiang, Zhou Guoxiong*, Xue Yongfei, Wang Haoyang. Incremental Learning-Driven Segmentation and Clustering Optimization of UAV-LiDAR Rubber Tree Point Clouds. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63. https://doi.org/10.1109/TGRS.2025.3639827（中科院一区TOP期刊，CCF-B，IF:8.6）
[47] Deng Jinsheng, Yang Zaichun, Song Xuan, Zhou Guoxiong*, Li Liujun. An edge guidance and foreground enhancement network for building change detection in remote sensing imagery. Computer-Aided Civil and Infrastructure Engineering, 2025, 40(31), 6365-6390. https://doi.org/10.1111/mice.70152（中科院一区TOP期刊，IF:9.1）
[48] Wang Haoyang, Zhou Guoxiong*, Chen Guiyun. CEA-Net: A multi-modal model for corn disease classification with dynamic fusion and cross-layer connection mechanism. Pattern Recognition, 2026, 173, 112788. https://doi.org/10.1016/j.patcog.2025.112788（中科院一区TOP期刊，IF:7.6）
[49] Yang Zaichun, Sun Lixiang, Deng Jinsheng, Cai Ailing, Liu Zhihuan, Liu Genhua, Zhang Jiang*, Zhou Guoxiong*, Hu Yahui, Li Liujun. A multi-scale linear cross-modal fusion architecture for tomato leaf disease segmentation. Computers and Electronics in Agriculture, 2026, 240, 111155. https://doi.org/10.1016/j.compag.2025.111155（中科院一区TOP期刊，IF:10.3）
[50] Yang Ruoli, Jiang Jie, Zhan Lixin*, Wan Baiyan, Qi Rui, Zhou Guoxiong*. TMENet: Multimodal Road Crack Segmentation Network for Complex Scenarios. IEEE Transactions on Intelligent Transportation Systems, 2025, 27(2), 2488-2503. https://doi.org/10.1109/TITS.2025.3634352（中科院一区TOP期刊，IF:8.6）
[51] Wu Zidi, He Mingfang*, Zhou, Guoxiong*, Yan Xuewu*, Zhang Jie, Liu Zhifeng, Tan Xiaobo, Zhang Huaiqing. TVIM: Text-Enhanced UAV Framework With Vegetation-Index Masking for Precision Pine Wilt Localization. IEEE Transactions on Geoscience and Remote Sensing, 2026, 64 https://doi.org/10.1109/TGRS.2026.3656949（中科院一区TOP期刊，IF:8.6）
[52] Yuan Xiaoli, Che Li, Zhang Jiang, Zhou Guoxiong*, Wang Mingfang, Li Liujun. IMEA-Net: An edge-sensitive network for cropland change detection in high-resolution remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 2026, 236, 175-196.（中科院一区TOP期刊，IF:12.2）
[53] Su Zhikang, Zhang Jiang*, Wang Peng*, Zhou Guoxiong*, Wang Xiangjun*. Geometric-prior guided segmentation of UAV LiDAR point clouds for retrieving clear bole height and crown architecture of rubber trees in dense rubber plantations. Industrial Crops & Products 2026（中科院一区TOP期刊，IF:）
[54] Yuan Jingxiang, Tan Xiaobo, Gong Gufeng*, Zhou Guoxiong*, Zhu Ming’e. TBR-Mamba: Hierarchical transfer learning and boundary-aware spatiotemporal interaction network for forest change detection. IEEE Transactions on Geoscience and Remote Sensing, 2026.（中科院一区TOP期刊，IF:8.6）
指导的研究生就业：
王*（2015级计算机技术）：中国地质大学，博士生
强*虎（2017级计算机技术）：湖南邮电职业技术学院，长沙，教师
陈*（2018级计算机技术）：中国民生银行长沙分行，长沙
谈*娇（2018级计算机技术）：中移电子商务有限公司，长沙
张*卓（2018信息与通信工程）：国防科技大学，博士生
李*轩（2019级计算机技术）：国防科技大学，博士生（湖南省优秀硕士毕业论文）
李*永（2019级计算机技术）：苏州移动，苏州，云计算中心
方*东（2020级电子信息）：中国联通湖南分公司，长沙
李*骄（2020级电子信息）：中国建设银行，邵阳
蔡*（2020级电子信息）：比亚迪股份有限公司，长沙
张*骥（2020级电子信息）：国防科技大学，博士生（湖南省优秀硕士毕业论文）
汪*帆（2020级软件工程）：北京理工大学，博士生（湖南省优秀硕士毕业论文）
陆*（2020级软件工程）：湘南学院，郴州，教师
张*骥（2020级电子信息）：国防科技大学，博士生
孙*想（2021级电子信息）：河海大学，博士
张*楷（2020级软件工程）：深圳市边检，深圳（国家奖学金、湖南省优秀毕业生）
刘*欢（2021级电子信息）：重庆化工职业技术学院，教师
杨*欣（2021级电子信息）：常德科技职业技术学院，教师
陈*楠（2021级电子信息）：湖南大学，博士生
邓*生（2022级电子信息）：国防科技大学，博士生（国家奖学金、湖南省优秀毕业生）
杨*春（2022级软件工程）：国防科技大学，博士生（国家奖学金）
周*（2022级电子信息）：武汉大学，博士生
彭*（2022级软件工程）：中国电信股份有限公司衡阳分公司（国家奖学金）
王*（2022级电子信息）：国防科技大学，博士生
易*兵（2022级电子信息）：数字马力（长沙）信息技术有限公司
李*（2023级电子信息）：国防科技大学，博士生（国家奖学金）
林*祺（2023级电子信息）：国防科技大学，博士生（国家奖学金）
李*（2023级软件工程）：福州中学（国家奖学金、湖南省优秀毕业生）
王*瑞（2023级电子信息）：天津大学，博士生（湖南省优秀毕业生）
朱*乐（2023级电子信息）：山河智能有限公司