学 院：信息与通信工程学院
科 系：|人工智能系|
学历职称：|博士、教授|
导 师：|信息与通信工程博士生导师|信息与通信工程硕士生导师|电子信息专业硕士生导师|
研究方向：人工智能、信号与信息处理
联系方式：eagler_hu@hainanu.edu.cn
教育与研究经历
[1] 2020.01 - 至今，海南大学，信息与通信工程学院，教授, 博导；
[2] 2014.12 - 2019.12，海南大学，信息科学技术学院，副教授；
[3] 2009.04 - 2014.11，海南大学，信息科学技术学院，助教、讲师；
[4] 2005.07 - 2009.03，先后在宁波波导股份研究院、中兴通讯南京研究所、上海澳讯信息技术有限公司从事多年功能机和智能手机上应用模块、协议栈和底层驱动等方面的系统设计和研发工作。分别任工程师、高级工程师、软件部部长。
[1] 2014.09 - 2019.06，海南大学，信息与通信工程专业，研究生、博士，导师：白勇教授；
[2] 2002.09 - 2005.07，吉林大学，计算机软件与理论专业，研究生、硕士，导师：付宏教授；
[3] 1998.09 - 2002.07，吉林大学，生物与农业工程，本科、学士。
研究领域与兴趣
[1] 主要研究方向：人工智能、行业应用中的精准测控
[2]主要工程应用领域：计算机视觉与图像处理、智能机器人应用、物联网与智慧农业、海洋信息感知与处理、无线通信。
部分主持及参与的课题
[22]工厂化东星斑养殖智能管理和智慧育种装备及系统研发（海南省重点研发计划专项项目（冯家湾专项），B23H10004，2024.01- 2026.12，主持）;
[21] 智能与可信融合的宽带压缩频谱感知关键技术研究（国家自然科学基金项目, 2024.01 – 2027.12，主持）；
[20] 优质卵形鲳鲹新品种培育及示范-精准测控研究（国家重点研发计划子课题, 2022.11 – 2026.12，主持）；
[19] 近海船舶“精智联控一体化”作战体系及示范应用（海南省“揭榜挂帅”重点研发计划项目, 2022.10 – 2025.10，主持）；
[18] 室内机器人视觉算法研究（横向课题, 2021.11 – 2023.08，主持）；
[17] 基于深度学习和遥感成像的海南辖区海域目标智能识别关键技术研究（海南省重点研发计划项目, 2022.01-2023.12，主持）；
[16] 可信预测预警云计算平台在海水智慧养殖中的应用研究（海南省自然科学基金高层次人才项目, 2020.12-2023.12，主持）；
[15] 海水养殖关键水环境因子与鱼体异常行为作用机制及其长期预测研究（国家自然科学基金项目，2020.01-2023.12，主持）；
[14] 基于物联网的海南石斑鱼智慧养殖预测预警平台研究（海南省重点研发计划项目, 2018.03-2020.02，主持）；
[13] 海水智慧养殖关键水环境因子长期动态预测研究（天津大学—海南大学协同创新基金项目，2019.4.15–2019.12.15，主持）；
[12] 海洋通信中宽带压缩频谱感知与资源动态优化配置的关键技术研究（海南省自然科学基金, 2017.01-2018.12,主持）；
[11] 基于统计水平集活动轮廓模型的海域遥感目标智能检测与跟踪研究（南海海洋资源利用国家重点实验室导向课题，2017.01-2018.12，主持）；
[10] 农作物病虫害智能监控、防治一体化专家系统中的关键技术研究（海南省自然科学基金，2014.01-2015.12,主持）；
[9] ACM在运动目标检测中的关键技术研究（海南省高等学校科学研究项目，2013.01-2014.12,主持）；
[8] 入侵视频监控中的智能分析在海南旅游安全中的应用研究（海南大学青年基金项目，2011.01-2013.12，主持）；
[7] 受限条件下物联网传感器部署与采集智能算法研究（国家自然科学基金项目，2020.01-2023.12，第二）；
[6] 基于深度水平集网络的自然图像分割方法研究（海南省自然科学基金, 2019.03-2021.12, 第二）；
[5] 面向海上船舶之间宽带通信的动态无线传输机制研究（国家自然科学基金项目，2016.01-2019.12，核心参与）；
[4] 基于云环境的水产养殖环境数据分析与智能预测算法研究（海南省自然科学基金，2016.1-2017.12，第二）；
[3] 基于DRLSE的视频对象智能分割与跟踪的关键技术研究（海南省自然科学基金，2015.01-2016.12，第二）；
[2] 卵形鲳鲹优良家系的选育与养殖示范（海南省应用技术研发与示范推广专项，2015.01-2016.12，核心参与）；
[1] 基于计算机视觉的热带农作物虫害的智能检测与识别研究（海南省高等学校科学研究项目，2014.01-2015.12，第二）。
课题组代表性研究成果（近5年）
目前发表学术论文90余篇，出版著作6部（含一部国外著作章节），申请专利24项（已授权10项），登记软件著作权26项。学术兼职：目前担任多个期刊IEEE Transactions on Emerging Topics in Computing (TETC), IEEE Internet of Things Journal，IEEE-ACM TRANSACTIONS ON NETWORKING，Engineering Applications of Artificial Intelligence (EAAI)，Knowledge-Based Systems (KBS)，Remote Sensing，Applied Artificial Intelligence，Science Progress等期刊的评审专家。
IEEE Senior Member、CCF Senior Member。
近年英文期刊论文 (*表示通讯作者)
[35] Xianghui Li, Zhuhua Hu*, Chong Shen, Huaming Wu*, Yaochi Zhao, TFF_aDCNN: A Pre-trained Base Model for Intelligent Wideband Spectrum Sensing [J], IEEE Transactions on Vehicular Technology, 2023.
[34] Yu, C., Liu, Y., Zhao, J., Wu, S., & Hu, Z., Feature Interaction Learning Network for Cross-Spectral Image Patch Matching[J]. IEEE Transactions on Image Processing, 2023.
[33] Chong Zhang, Zhuhua Hu*, Lewei Xu, Yaochi Zhao. A YOLOv7 incorporating the Adan optimizer based corn pests identification method [J]. Frontiers in Plant Science, 2023.
[32] Chuang Yu, Zhuhua Hu*, Bing Han, Yutong Dai, Yaochi Zhao, Yingjun Deng, An Intelligent Measurement Scheme for Basic Characters of Fish in Smart Aquaculture, Computers and Electronics in Agriculture, 2023.
[31] Zijie Chen, Zhuhua Hu*, Lewei Xu, Yaochi Zhao*, Xiaoyi Zhou, DA-Bi-SRU for Water Quality Prediction in Smart Mariculture [J], Computers and Electronics in Agriculture, 2022.
[30] Bing Han, Zhuhua Hu*, Zhengwei Su, Xueru Bai, Shuzhuang Yin, Jian Luo, Yaochi Zhao. Mask_LaC R-CNN for Measuring Morphological Features of Fish in Smart Aquaculture, Measurement, 2022.
[29] Lewei Xu, Zhuhua Hu*, Cong Zhang, Wei Wu. Remote Sensing Image Segmentation of Mariculture Cage Using Ensemble Learning Strategy[J]. Applied Sciences, 2022, 12(16): 8234.
[28] Yu, Chuang; Liu, yunpeng*; Li, Chenxi; Qi, Lin; Xia, Xin; Liu, Tianci; Hu, Zhuhua, Multi-branch Feature Difference Learning Network for Cross-Spectral Image Patch Matching[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022.
[27] Chuang Yu, Yunpeng Liu, Shuhang Wu, Xin Xia, Zhuhua Hu, Deyan Lan and Xin Liu, Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022.
[26] Yu, Chuang; Liu, yunpeng; Xia, Xin*; Hu, Zhuhua*; Fu, Shengpeng. Precise segmentation of remote sensing cage images based on SegNet and voting mechanism[J]，Applied Engineering in Agriculture, 2022.
[25] Chuang Yu, Yunpeng Liu*, Zhuhua Hu, Xin Xia. Precise segmentation and measurement of inclined fish’s features based on U-net and fish morphological characteristics[J]. Applied Engineering in Agriculture, 2022, 38(1): 37-48.
[24] Kejia Huo, Zhuhua Hu*, Dake Liu*. Design and Implementation of Shared Memory for Turbo and LDPC Code Interleaver[J], Wireless Communications and Mobile Computing, 2022.
[23] Yu Chuang, Liu Yunpeng*,Wu Shuhang, Hu Zhuhua, Xia Xin, Lan Deyan, Liu Xin. Infrared Small Target Detection Based on Multiscale Local Contrast Learning Networks[J]. Infrared Physics & Technology, 2022: 104107.
[22] Yaochi Zhao, Shiguang Liu*, Zhuhua Hu*. Focal learning on stranger for imbalanced image segmentation[J]. IET Image Processing, 2022, 16(5): 1305-1323.
[21] Yun Chu, Pu Li, Yong Bai*, Zhuhua Hu, Yongqing Chen, Jiafeng Lu, Group channel pruning and spatial attention distilling for object detection[J]. Applied Intelligence, 2022.
[20] Yaochi Zhao, Shiguang Liu*, Zhuhua Hu. Dynamically balancing class losses in imbalanced deep learning[J]. Electronics Letters, 2022, 58(5): 203-206.
[19] Yu C, Liu Y*, Hu Z, et al. Precise segmentation and measurement of inclined fish's features based on U-net and fish morphological characteristics [J]. Applied Engineering in Agriculture, 2021: 0.
[18] Yuexin Fu, Zhuhua Hu*, Yaochi Zhao, Mengxing Huang. A Long-Term Water Quality Prediction Method Based on the Temporal Convolutional Network in Smart Mariculture[J]. Water, 2021, 13(20): 2907.
[17] Chuang Yu, Zhuhua Hu*, Bing Han, Peng Wang, Yaochi Zhao*, Huaming Wu. Intelligent Measurement of Morphological Characteristics of Fish Using Improved U-net [J]. Electronics, 2021, 10(12), 1426.
[16] Xie X, Hu Z*, Chen M, et al. An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain[J]. Electronics, 2021, 10(11): 1346.
[15] C. Yu, Z. Hu*, R. Li, X. Xia, Y. Zhao*, X. Fan, Y. Bai, Segmentation and Density Statistics of Mariculture Cages from Remote Sensing Images Using Mask R-CNN [J], Information Processing in Agriculture (2021), doi: https://doi.org/10.1016/j.inpa.2021.04.013
[14] Xiaokang Xiong, Yuhang Dai, Zhuhua Hu*, Kejia Huo, Yong Bai*, Dake Liu. Hardware Sharing for Channel Interleavers in 5G NR Standard [J], Security and Communication Networks, 2021.
[13] Zhuhua Hu, Ruoqing Li, Xin Xia, Chuang Yu, Xiang Fan, Yaochi Zhao*. A method overview in smart aquaculture [J]. Environmental Monitoring and Assessment, vol.192 (8): 493, 2020. https://doi.org/10.1007/s10661-020-08409-9
[12] Mingshan Xie, Yong Bai*, Mengxing Huang,Yanfang Deng, and Zhuhua Hu. Energy-and-Time-Aware Data Acquisition for Mobile Robots Using Mixed Cognition Particle Swarm Optimization [J]. IEEE Internet of Things Journal, 2020.
[11] Juntao Liu, Chuang Yu,Zhuhua Hu*, Yaochi Zhao, Yong Bai, Mingshan Xie, Jian Luo, Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network [J], IEEE Access, vol. 8, pp. 24784-24798, 2020.
[10] Yaochi Zhao, Shiguang Liu*,Zhuhua Hu, Yong Bai, Chong Shen, Xuequn Shi. Separate degree based Otsu and signed similarity driven level set for segmenting and counting anthrax spores[J]. Computers and Electronics in Agriculture, vol. 169: 105230, 2020.
[9] Yaochi Zhao, Fusheng Lin, Shiguang Liu*,Zhuhua Hu, Yong Bai. Constrained-Focal-Loss based Deep Learning for Segmentation of Spores [J].IEEE Access, vol. 7, pp. 165029-165038, 2019.
[8] Chuang Yu, Xiang Fan,Zhuhua Hu*, Xin Xia, Yaochi Zhao, Yong Bai and Ruoqing Li. Segmentation and Measurement Scheme for Fish Morphological Features Based on Mask R-CNN [J]. Information Processing in Agriculture, 2020.
[7] Zhuhua Hu, Yiran Zhang, Yaochi Zhao*, Mingshan Xie, Jiezhuo Zhong, Zhigang Tu and Juntao Liu. A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture [J].Sensors, 2019, 19(6): 1420.
[6] Zhuhua Hu, Yong Bai *, Mengxing Huang, Mingshan Xie and Yaochi Zhao. A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing [J]. Sensors, 2018, 18(9): 3011.
[5] Zhuhua Hu, Yong Bai*, Lu Cao, Mengxing Huang, and Mingshan Xie. A Sequential Compressed Spectrum Sensing Algorithm Against SSDH Attack in Cognitive Radio Networks [J]. Journal of Electrical and Computer Engineering, 2018.
[4] Mingshan Xie, Mengxing Huang, Yong Bai*,Zhuhua Hu, and Yanfang Deng. Sparse Sensor Placement for Interpolated Data Reconstruction Based on Iterative Four sub-regions in Sensor Networks, Journal of Sensors, 2018.
[3] Mingshan Xie, Mengxing Huang, Yong Bai*,Zhuhua Hu, and Yanfang Deng, A Robust Data Interpolation based on Back Propagation Artificial Neural Network Operator for Incomplete Acquisition in Wireless Sensor Networks, Journal of Sensors, 2018.
[2] Mingshan Xie, Yong Bai*, Zhuhua Hu and Chong Shen, and. Weight-aware Sensor deployment in Wireless Sensor Networks for smart cities [J]. Wireless Communications and Mobile Computing, 2018.
[1] Zhuhua Hu, Yong Bai*, Yaochi Zhao, and Mingshan Xie. Adaptive and blind wideband spectrum sensing scheme using singular value decomposition [J]. Wireless Communications and Mobile Computing, 2017.
部分中文期刊论文
[8] 宋剑文,白勇*,胡祝华,唐冰.压缩感知联合多属性关联的数据恢复算法[J].计算机工程, 2018, 44(04):103-107+114.
[7]胡祝华，张逸然，赵瑶池*，曹路，白勇，黄梦醒.权重约束AdaBoost鱼眼识别及改进Hough圆变换的瞳孔智能测量[J],农业工程学报，2017, 33(23):226-232.
[6]胡祝华,曹路,张逸然,赵瑶池*.基于图像处理和线性拟合的鱼体尾柄测量方法研究[J].渔业现代化, 2017, 44(2): 43-49.
[5] 蔡宽麒,胡祝华*, 刘博艺, 陈振斌, 赵瑶池.双弹簧回转式椰肉椰壳分离机的设计及仿真分析[J].食品与机械, 2017, 33(04):94-100.
[4]胡祝华,赵瑶池.农业病虫害智能视频监控系统的构建和应用[J].中国农机化学报, 2016, 37(03):186-190.
[3] 赵瑶池,胡祝华*,白勇,等.基于纹理差异度引导的DRLSE病虫害图像精准分割方法[J].农业机械学报, 2015, 46(2):14-19.
[2] 赵瑶池,胡祝华*.基于对数相似度约束Otsu的自然场景病害果实图像分割[J].农业机械学报, 2015, 46(11): 9-15.
[1]胡祝华,赵瑶池*,程杰仁,等.基于改进DRLSE的运动目标分割方法[J].浙江大学学报：工学版，2014,48(8):1488~1495.
近2年学术会议论文：
[9]Yaochi Zhao, Sen Chen, Qiong Chen, Zhuhua Hu*, COMBINING LOSS REWEIGHTING AND SAMPLE RESAMPLING FOR LONG-TAILED INSTANCE SEGMENTATION[C]. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2023), 4-6 June, Rhodes Island, Greece, 2023. (CCF B, EI)
[8]Hao Qi, Zhuhua Hu*, Yunfeng Xiang, Dupeng Cai, and Yaochi Zhao, ATY-SLAM: A Visual Semantic SLAM for Dynamic Indoor Environments [C]// 2023 International Conference on Intelligent Computing, August 10-13, 2023, Zhengzhou, China. (CCF C, EI)
[7]Dupeng Cai, Zhuhua Hu*, Ruoqing Li, Hao Qi, Yunfeng Xiang, and Yaochi Zhao，AGAM-SLAM: An Adaptive Dynamic Scene Semantic SLAM Method Based on GAM [C]// 2023 International Conference on Intelligent Computing, August 10-13, 2023, Zhengzhou, China. (CCF C,EI)
[6] Longqin Gong, Zhuhua Hu*, Xaioyi Zhou. A real time video object tracking method for fish [C]. the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022),Haikou, China, January 15-17, 2022.
[5] Zhuhua Hu, Xianghui Li, Xinyu Xie, Yaochi Zhao*. Research on Abnormal Behavior Recognition of Underwater Fish Body Based on Deep Learning Network [C]. the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022), Haikou, China, January 15-17, 2022.
[4] Longqin Gong, Zhuhua Hu*, Xaioyi Zhou. A few samples underwater fish tracking method based on semi-supervised and attention mechanism, 2022 6th International Conference on Robotics and Machine Vision (ICRMV 2022), Xiamen, China, February 26-28, 2022.
[3] Kejia Huo, Zhuhua Hu*, Dake Liu*. Rate Matching and Interleaved Hardware Sharing Design [C]. the 2021 IEEE the 4th International Conference on Electronics and Communication Engineering (ICECE2021), IEEE, Xi'an, China, December 17-19, 2021.
[2] Xianghui Li, Xin Xia, Zhuhua Hu*, Bing Han, Yaochi Zhao*. Intelligent Detection of Underwater Fish Speed Characteristics Based on Deep Learning [C]. the 5th Asian Conference on Artificial Intelligence Technology in Haikou,China (ACAIT 2021), Haikou,China, October 29-31 2021.
[1] Yu Chuang, Liu Yunpeng, Hu Zhuhua*, Xia Xin*, Accurate segmentation of remote sensing cages based on U-Net and voting mechanism [C]. “智能感知与跨域协同”体系研究前沿论坛会议论文集, 中国 长春, 09月25号 - 27号, 2021.
部分著作、科研奖励和专利：
[15] 海南省科技进步二等奖，“水产养殖精准测控关键技术研发及应用”，海南省人民政府，2022-J-2-59-R01，2023.11.09。
[14] 海南省科技进步一等奖，“近海环境监控多源信息协同感知与融合关键技术及其应用”，证书编号：2020-J-1-20-R08, 2021.11.
[13] 胡祝华，赵瑶池著.《计算机视觉与机器学习技术在智慧农业中的应用研究》， 哈尔滨工业大学出版社，2019，ISBN: 978-7-5603-8053-7.
[12] 周星，陈敏，白勇，胡祝华，谭毓银，《下一代互联网新技术理论与实践》，科学出版社，2022.11. ISBN: 978-7-03-072720-6.
[11] 白勇，胡祝华著.《GNU Radio软件无线电技术》.科学出版社. 2016.11, ISBN: 9787030507570.
[10] 胡祝华，赵瑶池. 聚焦于陌生样本的不平衡学习，发明专利，专利号：ZL2021116063513, 2023.09.
[9] 胡祝华，霍科佳，刘大可. 一种Turbo和LDPC码速率匹配和交织器共享存储设计方法，发明专利，专利号：ZL2022100889994，2023.08.04
[8] 胡祝华等，一种基于机器学习的鱼眼瞳孔智能测量方法. 发明专利，专利号：ZL2017112480893.
[7] 胡祝华等，一种基于主被动信誉度划分的可信宽带频谱感知方法，发明专利，专利号：ZL2021104819197.
[6] 胡祝华等，一种基于图像处理技术的显微图像炭疽孢子密度计算方法. 发明专利. 专利号：ZL202010069704.X.
[5] 胡祝华等，一种鱼体形态学特征全自动测量装置. 实用新型.专利号: ZL202120855337.6.
[4] 胡祝华等，一种鱼眼特征自动测量方法.发明专利.专利号：ZL201710582932.5.
[3] 胡祝华等，一种基于活动轮廓模型的植物病虫害检测方法.发明专利.专利号：ZL201410714599.5.
[2] 胡祝华等，一种承载式四轮移动机器小车.实用新型专利.专利号: ZL201720587003.9.
[1] 胡祝华等，一种鱼体形态拍摄装置.实用新型.专利号：ZL 201720794798.0.
教学相关：
[7] 海南省教学成果奖一等奖（第三）,网络工程专业应用型工程人才培养体系的研究与实践, 2014；
[6] 发表教研教改论文2篇，参与教研教改项目3项，出版“十二五”“十三五”规划教材3部；
[5] 2018年海南大学“优秀教师”称号；
[4] 海南省高等学校“人工智能领域”科学研究优秀指导老师奖，2019；
[3] 第二届海南省“互联网+”创新创业大赛优秀指导教师，2016；
[2] 组建学生科研兴趣团队，历年来指导的32名本科生分别被保送到北京大学、中国科学院、香港中文大学等境内外知名高校、研究所读研深造；
[1] 指导学生获得国家级、省部级各类竞赛奖项20余项。指导学生获得全国大学生创新创业项目立项2项。
