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Supervisor of Master's Candidates

Academic Titles:泉州市人工智能学会会长

Education Level:博士研究生

Degree:Doctoral Degree in Engineering

Business Address:华大泰禾SOHO 2-805

E-Mail:

Status:在岗

Discipline:Systems Analysis and Integration
Software Engineering
Pattern Recognition and Intelligent Systems
Biomedical Engineering
Electrical Circuit and System

PETTER

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Education Level:博士研究生

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福建省科协委员、中国人工智能学会神经网络与计算智能专委会委员 、泉州市人工智能学会会长、先后获得福建省第三批”创新之星”(2022)、厦门市“双百计划”(2022)、福建省科技进步奖(2020,2022)、四川省科技进步奖(2021)、福建省医学科技进步奖(2021)、泉州市“港湾计划”高层次人才(第二层次)(2017)、吴文俊人工智能科技进步奖(2017)、福建省创新创业大赛奖(2016),主持福建省科技重大专项(2020)、泉州市第一批科技重大专项“揭榜挂帅”项目(2021)。从事仿生智能计算理论研究与应用(仿真建模、多目标优化方法、医学图像分析),主要科研成果:发表论文100余篇,其中SCI期刊论文70余篇,申请相关发明专利70余项(授权30余项),完成软件著作权60余项,主持或参与科研项目30余项。

一.代表性论文

1.  Peizhong Liu. Benchmarking Supervised and Self-Supervised Learning Methods in A Large Ultrasound Muti-task Images Dataset. IEEE Journal of Biomedical and Health Informatics.2024

2.  Longxiang Feng, Chunxia Chen, Lin Wang, Peizhong Liu.ECMS-NET:A multi-task model for early endometrial cancer MRI sequences classification and segmentation of key tumor structures. Biomedical Signal Processing and Control.2024

3.  Lei Zhang , Xiuming Wu , Jiansong Zhang, Zhonghua Liu, Yuling Fan, Lan Zheng, Peizhong Liu.SEG-LUS: A novel ultrasound segmentation method for liver and its accessory structures based on muti-head self-attention.Computerized Medical Imaging and Graphics .2024

4.  Furong Li, Ping Li , Xiuming Wu, Pan Zeng, Guorong Lyu, Yuling Fan, Peizhong Liu. FHUSP-NET: A Multi-task model for fetal heart ultrasound standard plane recognition and key anatomical structures detection. Computers in Biology and Medicine .2024

5.  Tiantian Yang Linlin Yuan, Ping Li, Peizhong Liu. Real-time automatic assisted detection of uterine fibroid ultrasound images using deep learning detector.Ultrasound in Medicine & Biology .2023

6.  Zhuang, Jiafu; Zeng, Pan; Zhuang, Wei; Guo, Xiaoyu; Liu, Peizhong.Supervertex Sampling Network: A Geodesic Differential SLIC Approach for 3D Mesh. Transactions on Visualization and Computer Graphics .2023

7.  Yuling Fan, Peizhong Liu,Learning correlationBinformation for multi-label feature selection.Pattern Recognition.2023

8.  Pan Zeng,Shunlan Liu,Shaozheng He,Qingyu Zheng, Jiaxiang Wu,Yao Liu,Guorong Lyu, Peizhong Liu. TUSPM-NET: A multi-task model for thyroid ultrasound standard plane recognition and detection of key anatomical structures of the thyroid . Computers in Biology and Medicine .2023

9.  Jiancui Chen, Ping Li, Tianxiang Xu, Huifeng Xue, Xiaoxia Wang, Ye Li, Hao Lin, Peizhong Liu, Binhua Dong and Pengming Sun. Detection of cervical lesions in colposcopic images based on the RetinaNet method.Biomedical Signal Processing and Control.2023

10. Yiqiao Cai, Meiqin Cheng, Ying Zhou, Peizhong Liu and Jing-Ming Guo.A hybrid evolutionary multi-task algorithm for multi-objective vehicle routing problem with time windows. Information Sciences.2023

11. Tianxiang Xu ,Peizhong Liu. RACNet: risk assessment Net of cervical lesions in colposcopic images. Connection Science.2023

12. Pan Zeng, Xiaokun Li, Xunxun Wu, Yong Diao, Yao Liu, Peizhong Liu. Rapid identification of wild Gentiana genus in different geographical locations based on FT-IR and an improved neural network structure Double-Net. Molecules.2023

13. Tianxiang Xu, Peizhong Liu, Xiaoxia Wang, Ping Li, Huifeng Xue, Wenfang Jin, Jun Shen, JingMing Guo, Binhua Dong, Pengming Sun. CTIFI: Clinical-experience-guided Three-vision Images Features Integration for Diagnosis of Cervical Lesions .Biomedical Signal Processing and Control.2023

14. Binhua Dong, Huifeng Xue, Ye Li1, Ping Li, Jiancui Chen, Tao Zhang, Lihua Chen, Diling Pan, Peizhong Liu,Pengming Sun. Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional  networks: a man-machine comparison cohort study. Fundamental Research.2023

15. Jiansong Zhang, Yongjian Chen, Pan Zeng, Yao Liu, Yong Diao.Ultra-Attention: automatic recognition of liver ultrasound standard sections based on visual attention perception structures.Ultrasound in Medicine & Biology.2023

16. Zhenggang Yu,Peizhong Liu, Shunlan Liu, Yao Liu. Automatic Detection and Diagnosis of Thyroid Ultrasound Images Based on Attention Mechanism. Computers in Biology and Medicine.2022

17. 吴秀明,王霞丽,吕国荣,魏梦婉,杜永兆,柳培忠. 计算机辅助系统在诊断乳腺良恶性肿瘤中的应用, 中国医学物理学杂志, 37(3):374-378(2020)

18. Yuefei Lin , Peizhong Liu , Yongzhao Du , Yong Diao , Jianguang Zhang , Ling Li  and Jiafu Zhuang. An Automatic Counting Method of HeLa Cell Images Based on the Combination of Otsu and Watershed Segmentation. Microscopy Research and Technique.

19. Yuling Fan,Jinghua Liu,Peizhong Liu, Shunxiang Wua. Manifold learning with structured subspace for multi-label feature selection. Pattern Recognition.

20. YiqiaoCai,DemingPeng,PeizhongLiu,Jing-MingGuo.Evolutionary multi-task optimization with hybrid knowledge transfer strategy. Information Sciences

21. 杜永兆;范宇凌;柳培忠*;唐加能;骆炎民. 多种群协方差学习分进化算法.电子与信息学报. 

22. Tao Zhang, Yan-min Luo, Ping Li, Pei-Zhong Liu*, Yong-zhao Du.Cervical Precancerous Lesions Classification using Pre-trained Densely Connected Convolutional Networks with Colposcopy Images. BIOMEDICAL SIGNAL PROCESSING AND CONTROL.                              23. Bing Bai, Yongzhao Du, Peizhong Liu,Pengming Sun, Ping Li, Yuchun Lv. Detection of Cervical Lesion Region from Colposcopic Images Based on Feature Reselection. Biomedical Signal Processing and Control                                               

24. Yan-Min Luo, Zhitong Xu, Pei-Zhong Liu*.Multi-Person PoseEstimation via Multi-Layer Fractal Network and Joints Kinship. Transactions on Image Processing                                      

25. 陈智,柳培忠*,骆炎民.一种自适应特征融合的多尺度相关滤波目标跟踪算法. 计算机辅助设计与图形学学报                             

26. Pei-Zhong Liu,Jing-Ming Guo*,Kosi Chamnogthai,Heri Prasetyo.Fusion of color histogram and LBP-based features for texture image retrieval and classification, Information Sciences,390:95~111(2017)

27. Pei-Zhong Liu,Jing-Ming Guo,Chi-Yi Wu,Danlin Cai*.Fusion of Deep Learning and Compressed Domain features for Content Based Image Retrieval,IEEE Transactions on image processing, 26(12):5706-5717(2017).

28. Pei-Zhong Liu, Jing-Ming Guo, Szu-Han Tseng,KokSheik Wong,Jiann-Der Lee, Chen-Chieh Yao, and Daxin Zhu*.Ocular Recognition for Blinking Eyes .IEEE Transactions on image processing, 26(10):5070-5081(2017).

29. 柳培忠,骆炎民,汪鸿翔,杜永兆. 一种结合时空上下文的在线卷积网络跟踪算法.计算机研究与发展。                 

30. Xian Yang, Quan Xiao, Shoujue Wang and Peizhong Liu*.Real-time Tracking via Deformable Structure Regression Learning. 22nd International Conference on Pattern Recognition. 


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