王品，女，工学博士（后），副教授，硕士生导师

                重庆市英才计划

学科领域：信息与通信工程、电子科学与技术

Email：wangpin@cqu.edu.cn

拟招收研究生专业及研究方向：信息与通信工程，电子科学与技术

方向1：智能信息处理与模式识别

方向2：数据融合与分析

方向3：人工智能与健康信息学

方向4：人工智能与模式识别

方向5：生物医学信号与信息处理

欢迎来自电子、计算机、通信、软件和数学等相关专业以及对科研有浓厚兴趣和热情的考生报考。团队将对表现优异的博士和硕士研究生，提供学习和研究的优越条件；对特别优秀者可推荐并提供去美国、新加坡、英国等国家和地区进行短期学术交流、访学和联合培养的机会，并资助研究生每年参加国内外国际学术会议。如需要，请随时与我Email联系。

个人简介：

2000年获重庆大学学士学位；2003年获重庆大学硕士学位；2008年获新加坡南洋理工大学博士学位。2009年至2010年获美国国家实验室基金资助在美国匹兹堡大学从事博士后研究。2011年至今在重庆大学任教。

王品副教授主要从事人工智能理论与应用、智能感知与数据科学、智能无多模态智能感知与识别等方面具有扎实的理论和实验研究基础，近年来承担了国际合作、国家自然科学基金等科研项目十余项，在Information  Sciences, Biomedical Signal Processing and Control, Digital Signal Processing等国内外主流期刊会议上发表了学术论文70余篇，申请及授权国家发明专利20余项。

近年主要论文：

[1]   Pin Wang*, Gongxin Yang, Yongming Li, Pufei Li, Yurou Guo, Rui Chen, Deep sample clustering domain adaptation for breast histopathology image classification，Biomedical Signal Processing and Control，2024，87：105500.（JCR 二区）

[2] Fan Li, Bo Wang, Pin Wang*, Mingfeng Jiang, Yongming Li*. An imbalanced ensemble learning method based on dual clustering and stage-wise hybrid sampling. Applied Intelligence,2023, 53: 21167-21191  （JCR 二区）

[3] Li Y, Xu J, Wang P*, Li P, Yang G, Chen R. Manifold reconstructed semi-supervised domain adaptation for histopathology images classification[J]. Biomedical Signal Processing and Control, 2023, 81: 104495-104504. （JCR 二区）

[4] Pin Wang, Pufei Li, Yongming Li, Jin Xu, Fang Yan, Mingfeng Jiang, Deep manifold feature fusion for classification of breast histopathology images, Digital Signal Processing, 2022, 123: 103400.（JCR 二区）

[5] Pin Wang, Pufei Li, Yongming Li, Jin Xu, Mingfeng Jiang, Classification of histopathological whole slide images based on multiple weighted semi-supervised domain adaptation, Biomedical Signal Processing and Control, 2022,73:103400. （JCR 二区）

[6]   Wang P , Li P , Li Y , et al. Histopathological image classification based on cross-domain deep transferred feature fusion[J]. Biomedical Signal Processing and Control, 2021, 68:102705. （JCR 二区）

[7]   Pin Wang*, Jiaxin Wang, Yongming Li, Pufei Li, Linyu Li, Mingfeng Jiang, Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing, Biomedical Signal Processing and Control, 2021,65:102341.（JCR 二区）

[8]  Wang P* , Li P , Yin M , et al. Burn wound assessment system using near-infrared hyperspectral imaging and deep transfer features[J]. Infrared Physics & Technology, 2020, 111:103558. （JCR 二区）

[9]   Wang Pin*, Song Qi, Li Yongming, Lv Shanshan, Wang Jiaxin, Li Linyu, Zhang HeHua, Cross-task extreme learning machine for breast cancer image classification with deep convolutional features, Biomedical Signal Processing and Control, 2020, 57:101789. （JCR 二区）

[10] Wang P*, Wang L , Li Y M , et al. Automatic cell nuclei segmentation and classification of cervical Pap smear images[J]. Biomedical Signal Processing and Control, 2019, 48:93-103. （JCR 二区）

[11]   Pin Wang*, Yao Cao, Meifang Yin, Yongming Li, Shanshan Lv, Lixian Huang, Dayong Zhang, Yongquan Luo, and Jun Wu.Full-field burn depth detection based on near-infrared hyperspectral imaging and ensemble regression. Review of Scientific Instrument, 2019, 90:064103.

[12] Wang P*, Xu S , Li Y M , et al. Feature-based analysis of cell nuclei structure for classification of histopathological images[J]. Digital Signal Processing, 2018, 78:152-162. （JCR 二区）

[13] Wang P*, Wang J , Wang L , et al. Classification of pathogenic bacteria using near-Infrared diffuse reflectance spectroscopy[J]. Journal of Applied Spectroscopy, 2019, 85(6):1029-1036. 

[14] Wang P*, Cao Y, Li Y M, et al. A burn depth detection system based on near infrared spectroscopy and ensemble learning [J]. Review of Scientific Instruments, 2017, 88(11):114302. 

[15] Wang P*, Wang J, Li Y M, et al. Optical detection of wound infection in vivo by near infrared diffuse reflectance spectroscopy[J]. Spectroscopy Letters, 2017,50(10):566-571. 

[16] Pin Wang*，Sha Xu，Yongming Li，Jie Wang，Shujun Liu. Hyperspectral image classification based on joint sparsity model with low-dimensional spectral–spatial features[J]. Journal of Applied Remote Sensing, 2017, 11(1):015010. 

[17]Pin Wang*, Yongming Li, Bohan Chen, et al. Proportional hybrid mechanism for population based feature selection algorithm[J]. International Journal of Information Technology & Decision Making, 2017,16(5): 1309-1338. 

[18]  Wang P*, Hu X, Li Y M, et al. Automatic cell nuclei segmentation and classification of breast cancer histopathology images[J]. Signal Processing, 2016, 122(9-10):1-13. （JCR 二区）