论文著作 [Full List ]

Zhuhua Hu

图像处理、计算机视觉专业方向

Feature Interaction Learning Network for Cross-Spectral Image Patch Matching[J].
Yu, C., Liu, Y., Zhao, J., Wu, S., & Hu, Z.
in IEEE Transactions on Image Processing, 2023. (SCI 1区 TOP)
[ Paper ] [ Code ]
Cross-Spectral Image Patch Matching.
COMBINING LOSS REWEIGHTING AND SAMPLE RESAMPLING FOR LONG-TAILED INSTANCE SEGMENTATION[C].
Yaochi Zhao, Sen Chen, Qiong Chen, Zhuhua Hu*
in 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP 2023),
4-6 June, Rhodes Island, Greece, 2023.
[ Paper ] [ Code ]
ASHN For Multi-Human Pose Estimation [C].
Pan Gao, Zhuhua Hu*.
The 6th Asian Conference on Artificial Intelligence Technology in Haikou, China (ACAIT 2022), Changzhou, China, December 10-12 2022. (已发表) (EI)
[ Paper ] [ Code ]
ECI: Effective Channel Interaction for Person Search [C].
Yongyi Ye, Zhuhua Hu*
The 6th Asian Conference on Artificial Intelligence Technology in Haikou, China (ACAIT 2022), Changzhou, China, December 10-12 2022. (已发表) (EI)
[ Paper ] [ Code ]
Online learning of both classification and regression branch in a fully convolutional manner.
A Virtual Try-on Model with Enhanced Feature Representation Capability[C].
Hui Ma, Zhuhua Hu*, Yan Zheng.
The 6th Asian Conference on Artificial Intelligence Technology in Haikou, China (ACAIT 2022), Changzhou, China, December 10-12 2022. (已发表) (EI).
[ Paper ] [ Code ] [ Project Page ]
Multi-branch Feature Difference Learning Network for Cross-Spectral Image Patch Matching[J].
Yu, Chuang; Liu, yunpeng*; Li, Chenxi; Qi, Lin; Xia, Xin; Liu, Tianci; Hu, Zhuhua
in IEEE Transactions on Geoscience and Remote Sensing(SCI 1区,if:5.6, top), 2022.
[ Paper ] [ Code ]
Multi-branch Feature Difference Learning Network.
Group channel pruning and spatial attention distilling for object detection[J].
Yun Chu, Pu Li, Yong Bai*, Zhuhua Hu, Yongqing Chen, Jiafeng Lu
in Applied Intelligence, 2022: 1-19. (SCI 2区,IF:5.086)
[ Paper ] [ Code ]
RF2Net: Salient Object Detection Using Level Set Loss and Reverse Attention Fusion Feed Network[C]
Yutong Dai, Chong Zhang, Zhuhua Hu*, Yaochi Zhao
The 14th International Conference on Digital Image Processing (ICDIP 2022), Wuhan, China, 2022.5.20-23. (EI)
[ Paper ] [ Code ]
Dynamically balancing class losses in imbalanced deep learning[J].
Yaochi Zhao, Shiguang Liu*, Zhuhua Hu.
Electronics Letters, 2022, 58(5): 203-206. (SCI)
[ Paper ] [ Code ]
Focal learning on stranger for imbalanced image segmentation[J].
Yaochi Zhao, Shiguang Liu*, Zhuhua Hu*.
IET Image Processing, 2022, 16(5): 1305-1323. (SCI 4区, if:2.373)
[ Paper ] [ Code ]
基于改进DRLSE的运动目标分割方法[J].
胡祝华,赵瑶池*,程杰仁,等.
[11]浙江大学学报:工学版,2014,48(8):1488~1495.(EI源刊).
[ Paper ] [ Code ]

VSLAM机器人方向

CBAM-SLAM: A semantic SLAM based on attention module in dynamic environment [C]
Yuexin Fu, Bing Han, Zhuhua Hu*, Xiuqiang Shen, Yaochi Zhao.
The 6th Asian Conference on Artificial Intelligence Technology (ACAIT 2022), Changzhou, China, December 10-12 2022. (EI)
[ Paper ] [ Code ]
A Closed-loop Detection Algorithm for Online Updating of Bag-of-Words Model [C]
Xiuqiang Shen, Lihang Chen, Zhuhua Hu*, Yuexin Fu, Hao Qi, Yunfeng Xiang, Jiaqi Wu.
The 9th International Conference on Computing and Data Engineering (ICCDE 2023), Haikou, China, January 6-8, 2023. (EI)
[ Paper ] [ Code ] [ Project Page ]
ATY-SLAM: A Visual Semantic SLAM for Dynamic Indoor Environments [C]
Hao Qi, Zhuhua Hu*, Yunfeng Xiang, Dupeng Cai, and Yaochi Zhao
the 19th International Conference on Intelligent Computing, August 10-13, 2023, Zhengzhou, China. ((EI, CCF C类))
[ Paper ] [ Code (soon) ]
AGAM-SLAM: An Adaptive Dynamic Scene Semantic SLAM Method Based on GAM [C]
Dupeng Cai, Zhuhua Hu*, Ruoqing Li, Hao Qi, Yunfeng Xiang, and Yaochi Zhao
the 19th International Conference on Intelligent Computing, August 10-13, 2023, Zhengzhou, China.(EI, CCF C类)
[ Paper ] [ Data ] [ Code ]

遥感,船舶小目标、模糊目标和异常行为检测方向

Ship Detection and Recognition Based on Improved YOLOv7[J].
Wu W, Li X, Hu Z, et al.
[1]Computers, Materials & Continua, 2023, 76(1). (中科院SCI 4区)
[ Paper ] [ Code ]
Infrared Small Target Detection Based on Multiscale Local Contrast Learning Networks[J].
Yu Chuang, Liu Yunpeng*,Wu Shuhang, Hu Zhuhua, Xia Xin, Lan Deyan, Liu Xin.
Infrared Physics & Technology, 2022: 104107. (中科院2区 SCI,if:2.638)
[ Paper ] [ Code ]
Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection[J].
Chuang Yu, Yunpeng Liu, Shuhang Wu, Xin Xia, Zhuhua Hu, Deyan Lan and Xin Liu,.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022.(中科院SCI 2区,if 3.966)
[ Paper ] [ Code ]

智慧农业-水产养殖方向

An Intelligent Measurement Scheme for Basic Characters of Fish in Smart Aquaculture
Chuang Yu, Zhuhua Hu*, Bing Han, Yutong Dai, Yaochi Zhao, Yingjun Deng
Computers and Electronics in Agriculture, 2023. (中科院SCI 1区 top,if 6.757)
[ Paper ] [ Code ]
Mask_LaC R-CNN for measuring morphological features of fish
Bing Han, Zhuhua Hu*, Zhengwei Su, Xueru Bai, Shuzhuang Yin, Jian Luo, Yaochi Zhao.
[4]Measurement, 2022, 203: 111859. (中科院SCI 2区,IF:5.131)
[ Paper ] [ Code ]
DA-Bi-SRU for Water Quality Prediction in Smart Mariculture [J]
Zijie Chen, Zhuhua Hu*, Lewei Xu, Yaochi Zhao*, Xiaoyi Zhou
Computers and Electronics in Agriculture, 2022, 200: 107219. (中科院SCI 1区,top,if 6.757)
[ Paper ] [ Code ]
Remote Sensing Image Segmentation of Mariculture Cage Using Ensemble Learning Strategy[J].
Lewei Xu, Zhuhua Hu*, Cong Zhang, Wei Wu.
Applied Sciences-Basel, 2022, 12(16): 8234. (中科院SCI 3区,if 2.838)
[ Paper ] [ Code ]
Precise segmentation of remote sensing cage images based on SegNet and voting mechanism[J]
Yu, Chuang; Liu, yunpeng; Xia, Xin*; Hu, Zhuhua*; Fu, Shengpeng.
Applied Engineering in Agriculture, 2022:0. (SCI, 4区, 0.985)
[ Paper ] [ Code ]
Precise segmentation and measurement of inclined fish’s features based on U-net and fish morphological characteristics[J].
Chuang Yu, Yunpeng Liu*, Zhuhua Hu, Xin Xia
Applied Engineering in Agriculture, 2022, 38(1): 37-48. (SCI, 中科院4区,if: 0.985)
[ Paper ] [ Code ]
Accurate segmentation of remote sensing cages based on U-Net and voting mechanism [C]
Yu Chuang, Liu Yunpeng, Hu Zhuhua*, Xia Xin*
“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, 2021.09.25号 – 27号, 2022. (EI) (EI)
[ Paper ] [ Code ]
A real time video object tracking method for fish [C].
Longqin Gong, Zhuhua Hu*, Xaioyi Zhou.
the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022), Haikou, China, January 15-17, 2022. (EI)
[ Paper ] [ Code ]
Abnormal Behavior Recognition of Underwater Fish Body Based on C3D Model [C].
Zhuhua Hu, Xianghui Li, Xinyu Xie, Yaochi Zhao*.
the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022), Haikou, China, January 15-17, 2022. (EI)
[ Paper ] [ Code ]
A few samples underwater fish tracking method based on semi-supervised and attention mechanism
Longqin Gong, Zhuhua Hu*, Xaioyi Zhou.
2022 6th International Conference on Robotics, Control and Automation (ICRCA), Xiamen, China, February 26-28, Pages 18-22, 2022. (EI)
[ Paper ] [ Code ]

遥感,船舶小目标、模糊目标和异常行为检测方向

hip Detection and Recognition Based on Improved YOLOv7[J].
Wu W, Li X, Hu Z, et al.
[1]Computers, Materials & Continua, 2023, 76(1). (中科院SCI 4区)
[ Paper ] [ Code ]
Infrared Small Target Detection Based on Multiscale Local Contrast Learning Networks[J].
Yu Chuang, Liu Yunpeng*,Wu Shuhang, Hu Zhuhua, Xia Xin, Lan Deyan, Liu Xin.
Infrared Physics & Technology, 2022: 104107. (中科院2区 SCI,if:2.638)
[ Paper ] [ Code ]
Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection[J].
Chuang Yu, Yunpeng Liu, Shuhang Wu, Xin Xia, Zhuhua Hu, Deyan Lan and Xin Liu
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022. (中科院SCI 2区,if 3.966)
[ Paper ] [ Code ]

频谱感知与移动通信方向

SNR Estimation Method based on SRS and DINet
Guohua Yao and Zhuhua Hu*.
In Proceedings of the 2023 15th International Conference on Computer Modeling and Simulation (ICCMS '23). ACM, Dalian, China, June 16-18 2023, PP. 218–224. (EI)
[ Paper ] [ 会议回顾 ]
TFF_aDCNN: A Pre-trained Base Model for Intelligent Wideband Spectrum Sensing [J]
Xianghui Li, Zhuhua Hu*, Chong Shen, Huaming Wu*, Yaochi Zhao
IEEE Transactions on Vehicular Technology, 2023. (SCI 中科院2区, top, IF 6.239)
[ Paper ] [ 会议回顾 ]
Design and Implementation of Shared Memory for Turbo and LDPC Code Interleaver[J]
Kejia Huo, Zhuhua Hu*, Dake Liu.
Wireless Communications & Mobile Computing, 2022.(SCI 4区)
基金:Grant No. 61963012 and Grant no. 62161010
[ Paper ] [ 会议回顾 ]

智慧农业-病虫害智能监控方向

A YOLOv7 incorporating the Adan optimizer based corn pests identification method [J].
Chong Zhang, Zhuhua Hu*, Lewei Xu, Yaochi Zhao.
[1]Frontiers in Plant Science, 2023.(SCI 1区 TOP, 已发表)
[ Paper ] [ Code ]
Intelligent Detection of Mango Disease Spores Based on Mask Scoring R-CNN [C].
Xinyu Xie, Jiaying Wang, Zhuhua Hu*, Yaochi Zhao*.
the 5th Asian Conference on Artificial Intelligence Technology in Haikou,China (ACAIT 2021), Haikou,China, October 29-31 2021. (EI)
[ Paper ] [ Code ]
Recognition of Pyralidae Insects with Unmanned Monitoring Robot Based on Histogram Reverse Mapping and Invariant Moment[C]
Zhuhua Hu, Boyi Liu*, Yaochi Zhao, Mengxing Huang, Yong Bai and Fusheng Lin.
2018 IEEE International Conference on Advanced Manufacturing (ICAM). IEEE, 2018: 407-410. (EI)
[ Paper ] [ Code ]

其它

教改类

  • 彭金莲, 胡祝华, 郑兆华, 等. 网络工程专业“3+1”模块化课程体系的创新研究[J]. 海南大学学报(自然科学版),2013,31(01):74-79.
  • 赵瑶池, 胡祝华*, 陈明锐, 等. 以计算思维为导向的大学 “计算机基础” 课程教学改革研究[J]. 海南大学学报: 自然科学版, 2014, 32(4): 383-388.

教材

  • 邱钊、赵瑶池、胡祝华等,《Java程序设计实用教程》, 2023.
  • 张红、胡祝华主编, 《Java程序设计案例教程》,高等教育出版社,2019年.8月。(“十三五”国家级规划教材),ISBN:978-7-04-051472-8,CIP核准字:2019037891。 46.2万字。
  • 十二五规划教材 《C语言程序设计实验教程》 中国农业出版社 完成。2012-07-15出版 isbn:978-7-109-16866-4 编写第4、9章(总33.2万字,6.9万字)。
  • 十二五规划教材 《C语言程序设计(第二版)》 中国农业出版社 完成。2012-07-15出版 isbn:978-7-109-16850-3 编写第四章(总54.2万字,2.6万字)。

专著

  • 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
  • 王振龙,胡祝华.《物联网与通信技术的理论与实践探索》. 电子科技大学出版社. 2019.10, ISBN: 978-7-5647-5451-8.CIP核准号:2018009134,29.8万。
  • 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,ISBN: 978-7-5603-8053-7, CIP核准号:2019045734,2019.3, 39.1万字.
  • 黄霞(主编),胡祝华(副主编).《现代软件架构与模式解析研究》,哈尔滨工业大学出版社,2019.04,ISBN: 978-7-5603-8107-7。CIP核准字:2019067884,2019.4。35.5万字
  • Zhuhua Hu. “Agricultural Robots - Fundamentals and Applications”, 2019.1. ISBN: 978-1-78984-934-9. 著作章节:Agricultural Robot for Intelligent Detection of Pyralidae Insects. IntechOpen, London, UK. Zhou J, Zhang B. Agricultural Robots-Fundamentals and Applications [J]. 2019. Hu Z, Liu B, Zhao Y. Agricultural Robot for Intelligent Detection of Pyralidae Insects [J]. 2018.
  • 白勇,胡祝华编著. 《GNU Radio软件无线电技术》. 科学出版社. 256千字,2017.01, ISBN: 978-7-0305-0757-0。CIP核准号:2016279409

Last Updated on 5th October, 2023

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