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）、第十八届中国科协年会全国科技工作者创新创业大赛金奖（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60余篇，国际顶级会议2篇，申请相关发明专利50余项（授权7项），完成软件著作权60余项，主持或参与科研项目10余项，承办2015年泉州市科协及中国人工智能学会神经网络与计算智能专委会年会、2016年海峡论坛科技分论坛、2018年“一带一路”虚拟现实国际会议及泉州市科协年会、2020年福建省系统工程学会及泉州市科协年会，2019年国际IEEE会议ISPACS和ASID技术委员会主席。

一．录用论文

2023年

1.Huiling Wu, Bingzheng Wu, Fangping Lai, Peizhong Liu , Guorong Lyu , Shaozheng He , and Jiangfeng Dai. Computational and Mathematical Methods in Medicine

2.Xue, Hao; Yu, Weifeng; Liu, Zhonghua; Liu, Peizhong.Early pregnancy fetal facial ultrasound standard plane-assisted recognition algorithm. Journal of Ultrasound in Medicine

3.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

2022年

1. 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

2. Ping Li, Xiaoxia Wang, Peizhong Liu, Tianxiang Xu, Pengming Sun, Binhua Dong, Huifeng Xue. Cervical lesion classification method based on cross-validation decision fusion method of Vision Transformer and DenseNet. Journal of Healthcare Engineering

3. Wei‑Wen Hsu, Jing‑Ming Guo, Linmin Pei, Ling‑An Chiang, Yao‑Feng Li, Jui‑Chien Hsiao, Rivka Colen& Peizhong Liu. A weakly supervised deep learning‑based method for glioma subtype classification using WSI and mpMRIs. Scientific Reports

4.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

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

6.Wu, B., Liu, P., Wu, H., Liu, S., He, S.. An Effective Machine-Learning Based Feature Extraction/Recognition Model for Fetal Heart Defect Detection from 2D Ultrasonic Imageries. CMES-Computer Modeling in Engineering & Sciences, 134(2), 1069–1089

7.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

8.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

9.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

10.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

11.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

2021年

1. Minghui Guo, Kangjian Wang, Shunlan Liu, Yongzhao Du, Peizhong Liu, Qichen Su, and Guorong Lv. Recognition of Thyroid Ultrasound Standard Plane Images Based on Residual Network.Computational Intelligence and Neuroscience

2. 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)

3. Xiaoli Wang, Zhonghua Liu,Yongzhao Du , Yong Diao ,Peizhong Liu , Guorong Lv, and Haojun Zhang. Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion. Computational and Mathematical Methods in Medicine

4. Xiaoxia Wang, Ping Li, Yuchun Lv, Huifeng Xue, Tianxiang Xu, Yongzhao Du,Peizhong Liu.Integration of global and local features for specular reflection  inpainting in colposcopic images. Journal of Healthcare Engineering.

5. Liu, J.; Li, X.; Jiang, R.;  Yang, K.; Zhao, J.; Khan, S.A.; He, J.;  Liu, P.; Zeng, B. Recent Progress in  the Development of Graphene   Detector for Terahertz Detection.  Sensors 2021, 21, 4987.

6. 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.

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

8. Gu, P.; Liu, P.; Deng, J.; Chen, Z. Learning Spatial‐Temporal  Background‐Aware Based Tracking.  Appl. Sci. 2021, 11, 8427.

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

10. Jiaxiang Wu, Pan Zeng, Peizhong Liu & Guorong Lv. Automatic classification method of liver ultrasound standard plane images using pretrained convolutional neural network. Connection Science

2020年

1. Yan-min Luo, Tao Zhang, Ping Li, Pei-zhong Liu, Pengming Sun, Binhua Dong, and Guanyu Ruan . MDFI: Muti-CNN Decision Feature Integration for Diagnosis of Cervical Precancerous Lesions . IEEE ACCESS 

2. Wancheng Zhang , Yongzhao Du , Zhi Chen , Jianhua Deng, and Peizhong Liu.Robust Adaptive Learning with Siamese NetworkArchitecture for Visual Tracking. The Visual Computer

3. Zhi Chen,Yongzhao Du, Jianhua Deng,Jiafu Zhuang and Peizhong Liu. Adaptive hyper-feature fusion for visual tracking. IEEE ACCESS

4. Wang, Jing; Li, Ping; Du, Yongzhao; Deng, hua; Zhuang, Jiafu; Liang, Peidong; liu, peizhong.CA-GAN: Class-condition Attention GAN for Underwater Image Enhancement . IEEE ACCESS

5. Xiaofu Huang, Ming Chen, Peizhong Liu. Texture feature-based classification on transrectal ultrasound image for prostatic cancer detection. Computational and Mathematical Methods in Medicine

6. Yiqiao CAI, Peizhong LIU.Enhancing differential evolution on continuous optimization problems by detecting promising leaders. IEEE Access

2019年

1.  Zhi Chen, Pei-Zhong Liu*, Yongzhao Du, Yanmin Luo, Jing-Ming Guo. Long-term correlation tracking via spatial-temporal context . The Visual Computer                                                                    2. 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. 

3. 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.                              

4. Sheng Cai, Pei-Zhong Liu*, Yan-Min Luo, Yong-Zhao Du, Jia-Neng Tang.Breast microcalcification detection algorithm based on Contourlet and ASVM . algorithms                                                  

5. Yu-Ling Fan, Pei-Zhong Liu*, Jia-Neng Tang, Yan-Ming Luo, Xiao-Fang Liu. Integration Differential Evolution Algorithm with Dynamic Multiple Population Base on Weighted Strategies. Journal of Computers .  

6. Zhi Chen, Peizhong Liu*, Yongzhao Du, Yanmin Luo, Jing-Ming Guo.Robust visual tracking using self-adaptive strategy. Multimedia Tools and Applications                                                

7. Yongzhao Du, Yuling Fan, Xiaofang Liu, Yan-Min Luo, Jianeng Tang and Pei-Zhong Liu*. Multi-scale Cooperative Differential Evolution Algorithm. Computational Intelligence and Neuroscience.             

8.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                                              

2018年

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

2. Yanmin Luo, Zhitong Xu, Peizhong Liu*, Yongzhao Du. Combining fractal hourglass network and skeleton joints pairwise affinity for multi-person pose estimation. Multimedia Tools and Applications      

3. 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                            

4. Liu, Ze-Fan; Zhang, Yu-Zhao; Liu, Pei-Zhong*. Retinal Vessel Segmentation Using Densely Connected Convolution Neural Network with Colorful Fundus Images. Journal of Medical Imaging and Health Informatics     

5. Cai, Sheng; Tang, Jia-Neng; Liu, Pei-Zhong*. Breast Density Classification Based on Wavelet Transform. Journal of Medical Imaging and Health Informatics                                                 

6. 杜永兆,汪鸿翔,柳培忠,傅玉青.Iterative algorithm for beam complex amplitude reconstruction by radial shearing interferometry. JOURNAL OF OPTICAL TECHNOLOGY.                                       

7. Yuling Fan , Peizhong Liu *,Jianeng Tang .Fuzzy entropy based on differential evolution for breast gland segmentation. Australasian Physical & Engineering Sciences in Medicine                               

8. Bing Bai, Pei-Zhong Liu*, Yong-Zhao Du. Cervical regional segmentation of colposcopic images based on HSV color space using K-means. Australasian Physical & Engineering Sciences in Medicine                 

9. Zhi Chen, Peizhong Liu*, Yongzhao Du, Yanmin Luo, Wancheng Zhang. Correlation Tracking via Self-adaptive Fusion of Multiple Features. information                                                  

10. Wancheng Zhang, Yanmin Luo, Zhi Chen, Yongzhao Du, Daxin Zhu,Peizhong Liu *.A Robust Visual Tracking Algorithm Based on Spatial-temporal Context Hierarchical Response Fusion.  Algorithms                

2017年

1. 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)

2. 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).

3. 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).

4. Pei-Zhong Liu, Ming Hong, Hong-Xiang Wang, and Ming-Hang Wang. A New Algorithm for High-frequency Capacitance Performance Parameter Testing Based on Multiple Ways of Errors Eliminate. Journal of Computers .   

5. Pei-Zhong Liu, Ze-Fan Liu, Yu-Zhao Zhang, Yong Zhang, Hsuan-Ming Feng. Retinal Blood Vessel Segmentation Using Pareto Ensemble Pruning With Diversity. Journal of Computers                            6. Xiao-Fang Liu, Pei-Zhong Liu*. A Modified Artificial Bee Colony Algorithm for Global Optimization Problem. Journal of Computers .     

7.  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。                 

8.  Hongxiang Wang , Peizhong Liu, Yongzhao Du, Xiaofang Liu. Online Convolution Network Tracking via Spatio-temporal Context. Multimedia Tools and Applications                                        

9.    Xiaofang Liu,Peizhong Liu,Yanming Luo. An Enhanced Exploitation Artificial Bee Colony Algorithm in Automatic Functional Approximations. International Journal on Intelligent Automation & Soft Computing.                                            

10.  De-tian Huang, Wei-qin Huang , Pei-ting Gu, Pei-zhong Liu* , Yan-min Luo. Image super-resolution reconstruction based on regularization technique and guided filter. Infrared Physics & Technology.            

11.  Yan-Min Luo, Liang-Zhao, Pei-Zhong Liu*, De-Tian Huang. Fire Smoke Detection Algorithm Based on Motion Characteristic and Convolutional Neural Networks. Multimedia Tools and Applications 

12.  Peizhong Liu,Ming Hong, Minghang Wang,Peiting Gu,Detian Huang. 3D face reconstruction via landmark depth estimation and shape deformation. Multimedia Tools and Applications                              

二．申请发明专利

1.     一种通过时空上下文进行视觉跟踪的方法

2.     多尺度协同差分进化优化方法

3.     基于模糊熵的差分进化算法对乳腺图像进行分割的方法

4.     一种基于改进稀疏自动编码器的图像超分辨率方法

5.     一种基于多层分形网络和关节亲属模式的多人姿态估计方法

6.     自适应特征融合的多尺度相关滤波视觉跟踪方法

7.     基于动态多种群集成差分进化算法的图像分割方法

8.     一种结合高斯核函数的卷积神经网络跟踪方法

9.     基于运动特性和卷积神经网络的火灾烟雾检测方法

10.   一种大圆机的破洞瑕疵检测方法

11.   一种基于增强局部搜索能力的人工蜂群优化方法

12.   一种大圆机的坏针瑕疵检测方法

13.    一种融合边缘和区域特征的CT图像中主动脉的分割

14.   一种双频段测控收发系统

15.   一种基于人工蜂群算法的优化方法

16.   一种宫颈病变区域检测方法

17.   一种细胞快速计数方法、计算机设备及可读存储介质

18.   一种通过分层特征响应融合的目标跟踪方法

19.   一种基于特征融合的超声图像自动分类法

20.   一种胎儿颜面部标准切面自动分类法

21.   一种胎儿心脏超声标准切面自动分类方法

22.   一种适用于微波高频电容的辅助测试装置

23.   一种基于微波高频电容的自动化辅助装备装置

24.   一种用于微波高频电容的自动化夹具

25.   一种基于蜂群仿真优化方法

26.   一种基于差分的仿真优化设计方法

三．奖励

1.  柳培忠（1/3），高性能的微波产品并行协同设计系统，中国人工智能学会，吴文俊人工智能科学技术奖，科技进步奖三等奖，2017，（柳培忠，骆炎民，邓建华）

2.  柳培忠（2/6），高性能的微波产品并行协同设计系统，中国科学技术协会，第十八届中国科协年会全国科技工作者创新创业大赛金奖，金奖，2016，（邓建华，柳培忠，黄德天，骆炎民，唐加能，顾培婷，洪铭）

3.   柳培忠（1/6），高性能的微波产品并行协同设计系统，泉州市人民政府，泉州市科学技术奖，科技进步奖二等奖，2015，（柳培忠，邓建华，骆炎民，黄德天，唐加能，刘思达），本项目第一版本

4.   柳培忠(1/7)，基于仿生原理的微波仿真与测试系统研发及产品化应用, 福建省人民政府, 福建省科技进步奖, 二等奖, 2020(柳培忠; 杜永兆; 张育钊; 邓建华; 骆炎民; 胡亚楠; 黄德天)

四．指导学生比赛

1.     洪铭，2018年福建省优秀硕士学位论文

2.     庄博楷等，2017年中国互联网+大学生创新创业大赛铜奖

3.     庄博楷等，2017年福建省互联网+大学生创新创业大赛银奖

4.     林军锋等，2017年福建省互联网+大学生创新创业大赛铜奖