简介

蔡加欣，男，福建莆田人

1988年4月出生

副教授, 博士，硕士生导师

研究方向：计算机视觉、机器学习、医学图像处理

学术主页： https://orcid.org/0000-0002-8989-085X

联系方式：caijiaxin@xmut.edu.cn

学术兼职：Scientific Reports编委

教育背景

2011.9-2014.6, 中山大学数学与计算科学学院，数学（信息计算科学）专业， 理学博士

2009.9-2014.6, 南方医科大学生物医学工程学院，生物医学工程专业, 工学硕士

2004.9-2008.6, 南方医科大学生物医学工程学院，生物医学工程(医学影像工程)专业, 工学学士

工作经历

2023.8-至今，厦门理工学院数学与统计学院，数学系，副教授

2022.1-2023.8，厦门理工学院数学与统计学院，数学系，讲师

2014.9-2022.1，厦门理工学院应用数学学院，信息与计算科学系，讲师

发表论文（*通信作者, #共同一作）

近五年代表作：

[1]Shengjun Zhu(本科生)#, Jiaxin Cai#*, Runqing Xiong#, Liping Zheng, Duo Ma. Singular Pooling: A Spectral Pooling Paradigm for Second-Trimester Prenatal Level II Ultrasound Standard Fetal Plane Identification. IEEE Transactions on Circuits and Systems for Video Technology. 2025, 35(12): 12508-12523. (SCI: 001632387500013, 中科院1区Top、JCR Q1-IF11.1，CCF-B类，CAAI-B类,自动化学科领域高质量科技期刊分级A类，ESI Top0.1%热点论文+ESI Top1%高被引论文 )

[2]Jiaxin Cai#*, Yang Li#, Baichen Liu(硕士生)#, Zhixi Wu(硕士生)#, Shengjun Zhu, Qiliang Chen, Qing Lei, Hongyan Hou, Zhibin Guo, Hewei Jiang, Shujuan Guo, Feng Wang, Shengjing Huang, Shunzhi Zhu, Xionglin Fan, Shengce Tao*. Developing Deep LSTMs with Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators over Time. IEEE Journal of Biomedical and Health Informatics. 2024, 28(7):4204-4215. (SCI:001263692800019,中科院2区Top小类1区、JCR Q1-IF7.7， CCF-C类，生物医学工程领域高质量科技期刊分级T1级，获福建省生物数学学会优秀论文二等奖，2025年9月至2026年3月连续4期入选ESI Top1%高被引论文)

[3]Jiaxin Cai*, Tingting Chen(本科生), Yang Qi, Siyu Liu, Rongshang Chen. Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine. Scientific Reports. 2025,15(1)：11. (SCI: 001389953300037, 中科院2区、JCR Q1-IF3.8, 自动化学科领域高质量科技期刊分级A类，2025年9月至2026年3月连续4期入选ESI Top1%高被引论文)

[4]Jiaxin Cai*, Yang Qi(硕士生), Siyu Liu, Rongshang Chen. A Residual Joint Antenna Network for Joint Transmit-Receive Antenna Subset Selection in MIMO Systems. IEEE Transactions on Antennas and Propagation. 2025,73(10):8366-8371. (SCI: 001594914100017, 中科院1区Top、JCR Q1-IF5.8，电子及信息技术领域高质量科技期刊分级T1级)

[5]Shengjun Zhu(本科生)#, Jiaxin Cai#*, Runqing Xiong#, Liping Zheng, Yang Chen, Duo Ma. Contrast and Gain-Aware Attention: A Plug-and-Play Feature Fusion Attention Module for Torso Region Fetal Plane Identification. Ultrasound in Medicine and Biology. 2025,51(12):2258-2266 (SCI: 001598156500001, 中科院3区、JCR Q2-IF2.6，生物医学工程领域高质量科技期刊分级T1级)

其它论文

[6]Jiaxin Cai#*, Chenquan Dai(硕士生)#, Runqing Xiong#, Yindan Luo, Bin Wang, Liping Zheng, Duo Ma. ALEFB: Adaptive Lightweight Enhanced Block for Second-trimester Fetal Anatomical Survey Standard Section Identification. Measurement. 2026,273: 121187. (SCI, 中科院2区、JCR Q1-IF5.6, 仪器仪表领域高质量科技期刊分级T1级)

[7]Jiaxin Cai*, Siyu Liu(硕士生), Bin Wang, Tingting Chen, Nenghui Zhu, Rongshang Chen. Developing a CR-SCAD Algorithm for Fibrosis and Inflammatory Activity Analysis of Chronic Hepatitis C. International Journal of Machine Learning and Cybernetics. 2026, 17:13. (SCI: 001662864600005, 中科院4区、JCR Q3-IF2.7，CAAI-C类)

[8]Bin Wang(硕士生) #, Yingying Zhou#, Jiaxin Cai#*. Recognizing uric acid type of urinary stones by deep learning. Urolithiasis. 2026, 54:21. (SCI: 001649777000001, 中科院3区、JCR Q2-IF2.2)

[9]Siyu Liu(硕士生)#, Jiaxin Cai#*. Machine Learning in Discharge Planning for Stroke Patients: A Review of Feature Representation and Aggregation Strategies with Suggestions for Improvement. Journal of Clinical Nursing. 2026. DOI: 10.1111/jocn.70285. (SCI: 001708322800001, 中科院3区、JCR Q1-IF3.5, 护理学领域高质量科技期刊分级T1级)

[10]Siyu Liu(硕士生), Jiaxin Cai*. Enhancing Clinical Reliability in Automated Pressure Injury Measurement: Challenges and Future Directions. Journal of Clinical Nursing. 2026. DOI: 10.1111/jocn.70282. (SCI: 001707577300001, 中科院3区、JCR Q1-IF3.5, 护理学领域高质量科技期刊分级T1级)

[11]Jiaxin Cai*. Methodological Considerations for Improving Deep Learning‑Based Classification of Skin Lesions in High‑Frequency Ultrasound Imaging. Journal of Ultrasound in Medicine. 2026. DOI: 10.1002/jum.70201. (SCI: 001686107600001, 中科院3区、JCR Q2-IF2.4. 声学领域高质量科技期刊分级T2级)

[12]Jiaxin Cai*. Deep Learning for Fetal Left Ventricular Outflow Tract Assessment: Opportunities and Challenges. Journal of Ultrasound in Medicine. 2026. DOI:10.1002/jum.70240 (SCI, 中科院3区、JCR Q2-IF2.4. 声学领域高质量科技期刊分级T2级)

[13]Shengjun Zhu(本科生)#, Jiaxin Cai#*, Runqing Xiong, Liping Zheng, Yang Chen, Duo Ma. Reply to: Reflections on CGAA module for fetal torso ultrasound plane identification: Image parameters, interpretability, and dataset adaptation. Ultrasound in Medicine and Biology. 2026 (SCI, 中科院3区、JCR Q2-IF2.6，生物医学工程领域高质量科技期刊分级T1级)

[14]熊润青#, 蔡加欣#*, 郑丽萍, 马多, 戴陈泉. 基于特制ResNet20的中孕期Ⅱ级产前超声检查胎儿切面识别. 中国生物医学工程学报. 2025,44(5):533-540. (CSCD核心，图像图形领域高质量科技期刊分级T1级)

[15]Yang Qi(硕士生)#, Jiaxin Cai#*, Rongshang Chen#. AO-TransUNet: A Multi-Attention Optimization Network for COVID-19 and Medical Image Segmentation. Digital Signal Processing. 2025.164: 105264. (SCI: 001483712900001, 中科院3区、JCR Q2-IF3.0，CAAI-C类，图像图形领域高质量科技期刊分级T3级)

[16]Nenghui Zhu#, Jiaxin Cai#*. Spam Classification with Support Vector Machines Using Van der Waerden Rank Score Attention. Journal of Visualized Experiments. 2025, e69082. (SCI: 001616654800017,中科院4区、JCR Q3-IF1)

[17]Yindan Luo(硕士生)#, Jiaxin Cai#*, Xiaohua Niu#. Artificial Intelligence in Proteins and Peptides: A Comprehensive Overview from Hybrid Modeling to Deep Learning. Current Protein & Peptide Science. 2025, 26: e13892037431165. (SCI: 001608578500001,中科院4区、JCR Q4-IF2)

[18]Yang Qi(硕士生)#, Rongshang Chen*, Jiaxin Cai#*. Attention Mechanisms in Medical Image Analysis: Advance, Challenge, and Future Direction. International Conference on Computational Intelligence and Applications.2025, 85-89. (EI)

[19]Siyu Liu(硕士生)#, Rongshang Chen*, Jiaxin Cai#*. Efficient Adaptation Techniques and Applications for Medical Foundation Models: A Systematic Review. International Conference on Computational Intelligence and Applications. 2025, 104-108. (EI)

[20]Shengjun Zhu(本科生)#, Siyu Liu(硕士生)# , Yang Li# , Qing Lei , Hongyan Hou, Hewei Jiang, Shujuan Guo, Feng Wang, Rongshang Chen, Xionglin Fan, Shengce Tao*, Jiaxin Cai*. CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients. Current Proteomics. 2024. 21(6): 591-605. (SCI: 001508082700008, 中科院4区、JCR Q4-IF0.5)

[21]Baichen Liu(硕士生), Jiaxin Cai*, Shunzhi Zhu. VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation. Chinese Conference on Pattern Recognition and Computer Vision (PRCV). 2024. vol 15044. pp 446–460. (EI:20244717397717, CCF-C类, CAAI-C类)

[22]Jiaxin Cai*, Hongfeng Zhu(本科生), Siyu Liu, Yang Qi, Rongshang Chen. Lung Image Segmentation via Generative Adversarial Networks. Frontiers in Physiology. 2024, 15:1408832. (SCI: 001302100700001, 中科院3区、JCR Q2-IF3.2)

[23]Yindan Luo(硕士生)#, Jiaxin Cai#*. Deep Learning for the Prediction of Protein Sequence, Structure, Function, and Interaction: Applications, Challenges, and Future Directions. Current Proteomics. 2024. 21(6): 561-579. (SCI: 001508082700024, 中科院4区、JCR Q4-IF0.5)

[24]Jiaxin Cai*, Wenzheng Bao, Chenxi Huang. Recent Trends in Machine Learning-Based Computational Biology and Digital Medicine. Current Proteomics. 2024. 21(6): xiv-xv. (SCI: 001499782800001, 中科院4区、JCR Q4-IF0.5)

[25]Hongmei Chi, Jiaxin Cai, Xinran Li*. Cascade 2D Attentional Decoders with Context-Enhanced Encoder for Scene Text Recognition. Neural Computing and Applications. 2024. 36: 7817–7827. (中科院3区, JCR Q1-IF6.000，CCF-C类, CAAI-C类）

[26]Dongbin Lin（本科生）, Jiaxin Cai*. A Literature Review on Antenna Data Analysis in MIMO System. Information Communication Technologies Conference. 2023: 189-192. (EI: 20232814384547)

[27]Dai Chenquan（硕士生）, Zhuang Xiaobin, Cai Jiaxin*. A Survey on Deep Learning for Chinese Medical Named Entity Recognition. International Conference on Computing and Artificial Intelligence. 2023: 472–476. （EI: 20233414601180)

[28]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. 2022:577–583. （EI:20232314192861)

[29]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: 224–228. （EI:20232314192909)

[30]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. (EI:20230513462158)

[31]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. (EI:20223412603254)

[32]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. (EI:20222112146401)

[33]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. (EI:20222112146398）

[34]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. （EI:20220611591588)

[35]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. (EI:20215211375735)

[36]Jiaxin Cai, Junlin Hu, Xin Tang*, Tzu-Yi Hung, Yap-Peng Tan. Deep Historical Long Short-Term Memory Network for Action Recognition. Neurocomputing. 2020,407:428-438. (SCI: 000555449500007, 中科院2区Top、JCR Q1-IF5.719，CCF-C类，CAAI-B类，自动化学科领域高质量科技期刊分级A类)

[37]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. （中科院3区、JCR Q1-IF3.255，CCF-C类）

[38]Jia-xin Cai*, Ranxu Zhong, Yan Li. Antenna Selection for Multiple-Input Multiple-Output Systems Based on Deep Convolutional Neural Networks. PLoS ONE, 2019, 14(5): e0215672. (SCI: 000466370200039, 中科院3区、JCR Q1-IF2.776)

[39]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. （双一流大学学报）

[40]Cai Jiaxin*, Zhu Hongfeng（本科生）. Lung Image Segmentation by Generative Adversarial Networks. International Conference on Image, Video Processing, and Artificial Intelligence, 2019：113210U. (EI:20200308049434）

[41]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. （本科学报）

[42]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. (CSCD核心，图像图形领域高质量科技期刊分级T1级)

[43]Jiaxin Cai*, Tingting Chen（本科生）, Nenghui Zhu, Xuan Qiu. 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. （SCI:000443223500035, 中科院3区、JCR Q1-IF2.659）

[44]Cai Jiaxin*, Chen Tingting（本科生）, Qiu Xuan. Fibrosis and Inflammatory Activity Analysis of Chronic Hepatitis C Using Extreme Learning Machine. International Conference on Information Technology in Medicine and Education, 2018：177-181. (EI:20190706499628)

[45]Cai Jiaxin*, Qiu Xuan. Constrained Partial Fuzzy Clustering for Brain Magnetic Resonance Image Segmentation. International Conference on Information Technology in Medicine and Education,2018：115-118. (EI:20190706499609)

[46]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. (EI:20191006602874)

[47]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. （EI、卓越期刊）

[48]Jiaxin Cai *, Xin Tang, Lifang Zhang, Guocan Feng. Learning Zeroth Class Dictionary for Human Action Recognition. Chinese Conference on Computer Vision (CCCV). 2017：651-666. (EI:20175104555939)

[49]Jiaxin Cai*, Tingting Chen（本科生）, Yan Li, Nenghui Zhu, Xuan Qiu. 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. (EI:20181505007030)

[50]Jiaxin Cai*, Yan Li, Ying Hu. Deep Convolutional Neural Network Based Antenna Selection in Multiple-Input Multiple-Output System. SPIE Young Scientists Forum, 2017：1071024. (EI:20181505006941)

[51]Jia-xin Cai*, Guocan Feng. Human Action Recognition in the Fractional Fourier Domain. Asian Conference on Pattern Recognition (ACPR)，2015：660-664. (EI:20162902615609，CAAI-C类）

[52]Xin Tang, Guocan Feng*, Xiaoxin Li, Jiaxin Cai. Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition. PLoS ONE, 2015, 10(11): e0142403. （中科院3区，JCR Q1-IF3.057）

[53]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. (EI: 20145300387449，卓越期刊，图像图形领域高质量科技期刊分级T1级，中国激光杂志社2015年第1期光学学报优秀论文)

[54]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. (EI: 20144600181519，卓越期刊，图像图形领域高质量科技期刊分级T1级)

[55]Jia-xin Cai*, Xin Tang, Guocan Feng. Learning Pose Dictionary for Human Action Recognition. International Conference on Pattern Recognition (ICPR). 2014: 381-386. (EI:20150100390570, CCF-C类，CAAI-B类）

[56]Xin Tang, Guocan Feng*, Jiaxin Cai. Weighted Group Sparse Representation for Undersampled Face Recognition. Neurocomputing, 2014,145:402-415. （中科院3区, JCR Q1-IF2.005，CCF-C类）

[57]Jia-xin Cai*, Guo-can Feng, Xin Tang. Human Action Recognition Using Oriented Holistic Feature. International Conference on Image Processing (ICIP). 2013: 2420-2424. (EI: 20141117461795, CCF-C类，CAAI-C类）

[58]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. (CSCD核心，CCF中文B类，CAAI-B类，图像图形领域高质量科技期刊分级T1级)

[59]Jia-xin Cai*, Feng Yang, Guocan Feng. Fast Semi-Supervised Fuzzy Clustering: Approach and Application. Chinese Conference on Pattern Recognition (CCPR). 2009: 1-5. (EI: 20100412657315）

知识产权

[1] 蔡加欣，刘思宇，陈荣赏. 一种超声图像分类方法、装置、设备及可读存储介质. 发明专利. ZL202511643918.2

[2] 蔡加欣，戴陈泉，顾晨苏. 超声诊断系统V1.0. 计算机软件著作权. 2026SR0110710

[3] 蔡加欣，朱圣俊，顾晨苏. 基于S1_IgG与N_IgG抗体水平的分类与预测系统V1.0. 计算机软件著作权. 2026SR0167035

科研和教研项目

毕业生去向（招生用，其它请忽略）

毕业硕士生去向：

1. 2022级硕士生，戴陈泉，浙江育英职业技术学院，人工智能专业专任教师

2. 2022级硕士生，陈其亮，马鞍山诗诚新知专利代理事务所，专利工程师

在读硕士生实习：

1. 2023级硕士生，戚阳，广州赛意信息（SZ300687），人工智能产品经理

2. 2023级硕士生，戚阳，杭州太初演化智能科技有限公司，人工智能产品经理