蔡加欣 - 厦门理工学院 - 应用数学学院

个人简介

蔡加欣，男，福建莆田人,1988年4月出生。教育背景 2014年6月毕业于中山大学数学（信息计算科学）专业, 修业时间3年, 获理学博士学位 2011年6月毕业于南方医科大学生物医学工程专业, 修业时间2年, 获工学硕士学位 2008年6月毕业于南方医科大学生物医学工程专业, 修业时间4年, 获工学学士学位工作经历 2014.9-至今，厦门理工学院数学与统计学院，讲师 2008.6 -2008.9，深圳市理邦精密仪器股份有限公司，硬件工程师科研和教研项目序号起止时间项目名称主要贡献项目级别 1 2015.7-2018.7 智能家居中基于稀疏表示的自动跌倒检测项目负责人厦门理工学院高层次人才项目(No.YKJ15018R) 2 2020.1-2022.1 基于字典学习的人体跌倒检测项目负责人厦门理工学院“科研攀登计划”项目XPDKQ19003 3 2020.1-2022.1 基于深度字典学习的人体跌倒检测项目负责人福建省中青年教师教育科研项目JAT190666 指导大学生创新创业与学科竞赛序号起止时间项目名称主要贡献项目级别 1 2020.6-2021.6 U心康健康体检 APP--基于大数据和深度学习技术的智能系统第一指导教师国家级大学生创业实践项目202011062004S 2 2020.12-2021.12 基于深度学习的智能推荐系统研究第一指导教师省级大学生创新训练项目 3 2021 指导教师首届福建省青年科普创新实验暨作品大赛智能控制大学组优秀奖 4 2019 有料APP 第一指导教师工业互联网产业联盟（AII）第二届工业APP开发与应用创新大赛全国30强主讲课程高等数学，线性代数，概率论与数理统计，Python数据分析与可视化，Python程序设计，Java语言程序设计

研究领域

计算机视觉、机器学习、医学图像处理

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Dai Chenquan（硕士生）, Zhuang Xiaobin, Cai Jiaxin*. A Survey on Deep Learning Based Chinese Medical Named Entity Recognition. 2023 9th International Conference on Computing and Artificial Intelligence. 2023. [2] Chen Qiliang（硕士生）, Tang Hasiqidalatu, Cai Jiaxin*. Human action recognition based on vision transformer and L2 regularization. International Conference on Computing and Pattern Recognition. 2022. [3] Dai Chenquan（硕士生）, Zhuang Xiaobin, Cai Jiaxin*. Chinese Electronic Medical Record Named Entity Recognition Based on Bi-RNN-LSTM-RNN-CRF. International Conference on Computing and Pattern Recognition. 2022 [4] Chen Libo（本科生）, Cai Jiaxin*. Red, White, Crimson and Purple Tongue Diagnosis Based on Deep Learning. International Conference on Information, Communication and Networks. 2022：578-581. [5] Chen Libo（本科生）, Cai Jiaxin*. A Survey on TCM Tongue Diagnosis Based on Data Mining. International Conference on Computational Intelligence and Applications. 2022：48-51. [6]Dong Liuqing（本科生）, Cai Jiaxin*. An overview of machine learning methods used in fatigue driving detection. International Conference on Intelligent Information Technology. 2022:65-69. [7]Tang Hasiqidalatu（本科生）, Cai Jiaxin*. A Survey on human action recognition based on attention mechanism. International Conference on Intelligent Information Technology. 2022:46-51. [8]Xu Gehui（本科生）, Cai Jiaxin*, Jiang Shumin, Cai Jiahua, Ouyang Miao, Li Junjie. Physical examination package intelligent recommendation system based on deep learning. International Conference on Computational Intelligence and Applications. 2021:21-25. [9]Guo Zhibin（本科生）, Cai Jiaxin*. Residual neural network based joint transmit-receive antenna selection in MIMO system. International Conference on Image, Video Processing, and Artificial Intelligence, 2021:120760X. [10]Cai Jiaxin, Hu Junlin, Tang Xin*, Hung Tzu-Yi, Tan Yap-Peng. Deep historical long short-term memory network for action recognition. Neurocomputing. 2020,407:428-438. [11]Xia Haifeng, Feng Guocan, Cai Jiaxin, Tang Xin*, Chi Meihong. Embedded conformal deep low-rank auto-encoder network for matrix recovery. Pattern Recognition Letters.2020, 132:38-45. [12]Cai Jiaxin*, Zhong Ranxu, Li Yan. Antenna selection for multiple-input multiple-output systems based on deep convolutional neural networks. PLoS ONE, 2019, 14(5): e0215672. [13]Cai Jiaxin*, Zhong Ranxu, Li Junjie. Silhouettes based human action recognition in video via Procrustes analysis and Fisher vector coding. Journal of Donghua University (English Edition), 2019, 36(2), 140-148. [14]Cai Jiaxin*, Zhu Hongfeng. Lung image segmentation by generative adversarial networks. International Conference on Image , Video Processing, and Artificial Intelligence, 2019：113210U. [15]林文广*, 郭晓珍,蔡加欣,赖荣燊.基于IPC号的热门共性技术机遇的挖掘方法.厦门理工学院学报,2019,27(6):30-37. [16]Cai Jiaxin*, Chen Tingting, Zhu Nenghui, Qiu Xuan. An automatic diagnosis system for breast cancer using collaborative representation and smoothly clipped absolute deviation penalty. Basic & Clinical Pharmacology & Toxicology. 2018, 123 (S3):20-21. [17]蔡加欣*,邱璇,黄智力,骆榕澜.基于随机森林的慢性丙型肝炎纤维化和活动度分析.中国生物医学工程学报. 2018, 37(5), 553-559. [18]Cai Jiaxin*, Tang Xin, Zhong Ranxu. Silhouettes based human action recognition by Procrustes analysis and Fisher vector encoding. International Conference on Image , Video Processing, and Artificial Intelligence, 2018：1083612. [19]Cai Jiaxin*, Qiu Xuan. Constrained partial fuzzy clustering for brain magnetic resonance image segmentation. IEEE International Conference on Information Technology in Medicine and Education,2018：115-118. [20]Cai Jiaxin*, Chen Tingting, Qiu Xuan. Fibrosis and inflammatory activity analysis of chronic hepatitis C using extreme learning machine. IEEE International Conference on Information Technology in Medicine and Education, 2018：177-181. [21]王方*, 蔡加欣, 王丙雨, 韩勇, 李桂兵, 李凡. 基于行人碰撞事故重建的颅脑损伤准则效能研究. 中国公路学报, 2018, 31(4): 231-240. [22]Cai Jiaxin*, Li Yan, Hu Ying. Deep convolutional neural network based antenna selection in multiple-input multiple-output system. SPIE Young Scientists Forum, 2017：1071024. [23]Cai Jiaxin*, Chen Tingting, Li Yan, Zhu Nenghui, Qiu Xuan. A novel collaborative representation and SCAD based classification method for fibrosis and inflammatory activity analysis of chronic hepatitis C. SPIE Young Scientists Forum, 2017：107102B. [24]Cai Jiaxin*, Tang Xin, Zhang Lifang, Feng Guocan. Learning zeroth class dictionary for human action recognition. Chinese Conference on Computer Vision. 2017：651-666. [25]Cai Jiaxin*, Feng Guocan. Human action recognition in the fractional Fourier domain. Asian Conference on Pattern Recognition，2015：660-664. [26]Tang Xin, Feng Guocan*, Li Xiaoxin, Cai Jiaxin. Learning low-rank class-specific dictionary and sparse intra-class variant dictionary for face recognition. PLoS ONE, 2015, 10(11): e0142403. [27]蔡加欣*，冯国灿，汤鑫，罗志宏.基于姿势字典学习的人体行为识别.光学学报，2014, 34(12):1215002. [28]蔡加欣*，冯国灿，汤鑫，罗志宏. 基于局部轮廓和随机森林的人体行为识别.光学学报，2014,34(10):1015006. [29]Cai Jiaxin*, Tang Xin, Feng Guocan. Learning pose dictionary for human action recognition. IEEE International Conference on Pattern Recognition. 2014: 381-386. [30]Tang Xin, Feng Guocan*, Cai Jiaxin. Weighted group sparse representation for undersampled face recognition. Neurocomputing, 2014,145:402-415. [31]Cai Jiaxin*, Feng Guocan, Tang Xin. Human action recognition using oriented holistic feature. IEEE International Conference on Image Processing. 2013: 2420-2424. [32]蔡加欣, 杨丰*, 冯国灿. 改进退化的半监督模糊聚类应用于MR图像分割. 中国图象图形学报. 2011, 16(5):784-791. [33]Cai Jiaxin*, Yang Feng, Feng Guocan. Fast semi-supervised fuzzy clustering: Approach and application. Chinese Conference on Pattern Recognition. 2009: 1-5. （*通信作者）

学术兼职

审稿人：Digital Signal Processing, Pattern Recognition Letters, Multimedia Tools and Applications, IEEE Access, PLOS ONE, PeerJ Computer Science, Electronic Research Archive, Frontiers in Artificial Intelligence，The Open Biomedical Engineering Journal, International Journal of High School Research, 厦门城市职业学院学报, MEIE2019, CASE2019, CSAE 2020, EAME2020, ICPMS2021,IWACCE 2021 共同主编： EAME2020 程序委员： ICIIT2022, DESD2022, IWIP2022, ICCIA 2021, ICCIA 2022，BSCB2021, ICCAI 2023, ICCPR 2023, ICCPR 2022, ICICN2022 评委：2019全国商务数据分析与应用技能大赛