姓名:文贵华
职称 / 职务:教授
主要研究领域:脑认知计算、机器学习、情感识别、智能医疗
所在团队:华南理工大学机器学习与数据挖掘团队负责人、广东省人工智能中医工程技术研究团队负责人
办公邮箱:crghwen@scut.edu.cn
个人简介:
提出了认知几何方法,创造性机器学习方法,分阶段学习方法,内成像神经网络等新方法,研究成果分别发表在IEEE Traction on cybernetics、IEEE Transaction on Multimedia、Pattern Recognition等JCR 1区期刊。发表一作或通信SCI论文55篇,获授权发明专利33项。与英国南安普顿大学副校长,英国两院院士,曾任ACM主席的Dame Wendy Hall签署了校际协议,组建了知识图谱及其医疗应用的国际化研究团队。申请项目属于典型的多学科交叉,涉及到人工智能、物理学、数学、中医学、中西医结合等学科,项目组在交叉学科研究方面有较好的前期研究基础。
教育经历:
(1) 1998-9 至 2001-7/华南理工大学/博士
(2) 1991-9 至 1994-4/南京航空航天大学/硕士
(3) 1987-9 至 1991-7/湖北汽车工业学院/学士
工作经历:
(1) 2009-12 至 今/华南理工大学, 计算机学院/教授
(2) 2006-09 至 2009-12/华南理工大学, 计算机学院/ 副研究员
(3) 2003-12 至 2006-09/华南理工大学, 计算机应用研究所/副研究员
(4) 1994-04 至 2003-12/华南理工大学, 计算机应用研究所/工程师
学术兼职:
2018至今/世界中医药联合会诊断分会/常务理事
2020-2024/中华中医药学会治未病分会/常务理事
2020-2024/世界中医药联合会信息分会/常务理事
2022-2027/中国中医药信息学会信息诊断分会/常务理事
2023起/中国中医药信息学会人工智能分会/常务理事
2023-2028/全国卫生产业企业管理协会治未病分会/常务理事
2024起/中国社区卫生协会社区中医药专业委员会/委员
课程教学:
人工智能
科研项目:
[1] 可解释深度神经网络舌诊方法研究,国家自然科学基金面上项目,2022-2025,项目负责人
[2] 基于复杂感知和深度学习的中医诊疗康复设备研发,广东省重点领域研发计划项目,2020-2024,项目负责人
[3] 基于智能中医的食疗养生装备研发,广州市重点领域研发计划项目,2023-2025,项目负责人
[4] 构建中医药治未病技术体系促进“中医药+”新业态创新发展--以高尿酸血症防治为例,广州地区中医药重大科技项目,2025-2027,参与单位负责人
[5] 基于连续对话的智能针灸问诊系统研发,广州市市校(院)联合资助项目,2024-2025,参与单位负责人
[6] 基于大规模知识图谱的人工智能针灸诊疗方法与系统研究,广州市市校(院)联合资助项目,2023-2024,参与单位负责人
[7] 广州市中医院和华南理工大学《智能中医诊疗联合实验室》项目,2023-2026,负责人
[8] 人工智能大数据中医望诊关键技术及平台研发,广州市产学研协同创新重大专项,2018-2020,参与单位负责人
[9] 大数据体质辨识关键技术及移动应用研发,广州市产学研协同创新重大专项,2016-2017,项目负责人
[10] 格式塔规律的几何推理关键技术研究,国家自然科学基金面上项目,2013-2016,项目负责人
[11] 基于认知规律几何化的流形学习,国家自然科学基金面上项 目,2010-2012,项目负责人
[12] 老年人情绪视频监控系统研发,广东省公益研究与能力建设专项资金,2015-2016,项目负责人
[13] 大数据特定人群识别关键技术研发,广东省公益研究与能力建设专项资金,2016-2017,项目负责人
代表性成果:
[1] Chang Wang, Guihua Wen, Pei Yang, Lianqi Liu:Bimodal speech emotion recognition via contrastive self-alignment learning. Expert Syst. Appl. 293: 128605 (2025)
[2] Mengjian Zhang, Guihua Wen, Pei Yang, Changjun Wang, Xuhui Huang, Chuyun Chen:Chaos-DFT-MLP: Chaos transform and DFT combination MLP-like architecture for the body constitution assisted recognition using medical images. Appl. Soft Comput. 182: 113528 (2025)
[3] Mengjian Zhang, Guihua Wen, Pei Yang, Changjun Wang, Xuhui Huang, Chuyun Chen:Chaos-MLP: Chaotic Transform MLP-Like Architecture for Medical Images Multi-Label Recognition Task. IEEE J. Biomed. Health Informatics 29(4): 2819-2831 (2025)
[4] Mengjian Zhang, Guihua Wen, Pei Yang, Changjun Wang, Chuyun Chen:Multi-label body constitution recognition via HWmixer-MLP for facial and tongue images. Expert Syst. Appl. 269: 126383 (2025)
[5] Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, Chuyun Chen, Bao Wang:CDGT: Constructing diverse graph transformers for emotion recognition from facial videos. Neural Networks 179: 106573 (2024)
[6] Dongliang Chen, Guihua Wen, Pengcheng Wen, Pei Yang, Rui Chen, Cheng Li:Cross-Domain Sample Relationship Learning for Facial Expression Recognition. IEEE Trans. Multim. 26: 3788-3798 (2024)
[7] Mengjian Zhang, Guihua Wen, Jiahui Zhong, Changjun Wang, Xuhui Huang, Jingwen Ruan, Wenya Pei: Multi-label recognition of facial body constitution via MLP-like deep networks with non-equilibrium weight loss. Biomed. Signal Process. Control. 87(Part A): 105363 (2024)
[8] Wenjun Cai, Mengjian Zhang, Guihua Wen, Pei Yang: TSRNet: Tongue image segmentation with global and local refinement. Displays 81: 102601 (2024)
[9] Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, Chuyun Chen, Bao Wang: Multi-geometry embedded transformer for facial expression recognition in videos. Expert Syst. Appl. 249: 123635 (2024)
[10] Guihua Wen, Haozan Liang, Huihui Li, Pengcheng Wen, Rui Chen, Cheng Li: Interpretable Tongue Constitution Recognition via Reshaped Wavelet Attention. Int. J. Comput. Intell. Syst. 17(1): 31 (2024)
[11] Huihui Li, Xiangling Xiao, Xiaoyong Liu, Guihua Wen, Lianqi Liu:Learning Cognitive Features as Complementary for Facial Expression Recognition. Int. J. Intell. Syst.(2024)
[12] Qiaonan Li, Guihua Wen, Pei Yang:From patch, sample to domain: Capture geometric structures for few-shot learning. Pattern Recognit. 148: 110147 (2024)
[13] Mengjian Zhang, Guihua Wen,et al. MLP-Like Model With Convolution Complex Transformation for Auxiliary Diagnosis Through Medical Images.IEEE J. Biomed. Health Informatics, 2023
[14] Dongliang Chen, Guihua Wen, Huihui Li, Rui Chen, Cheng Li.Multi-relations Aware Network for in-the-wild Facial Expression Recognition.IEEE Transactions on Circuits and Systems for Video Technology,2023
[15] Wenjun Cai, Mengjian Zhang, Guihua Wen, Pei Yang.TSRNet: Tongue Image Segmentation with Global and Local Refinement,Displays,2023
[16] Mengjian Zhang , Guihua Wen , Jiahui Zhong , Changjun Wang , Xuhui Huang .Multi-label recognition of facial body constitution via MLP-like deep networks with non-equilibrium weight loss.Biomedical Signal Processing and Control,2023
[17] Dongliang Chen, Guihua Wen, Pengcheng Wen, Pei Yang, Rui Chen, Cheng Li, Cross-domain Sample Relationship Learning For Facial Expression Recognition,IEEE Transactions on Multimedia (2023)
[18] Yang Hu, Guihua Wen, Huiqiang Liao, Changjun Wang, Dan Dai, Zhiwen Yu, Automatic Construction of Chinese Herbal Prescriptions from Tongue Images Using CNNs and Auxiliary Latent Therapy Topics, IEEE Transaction on Cybernetic, v 51, n 2, p 708-721, February 2021
[19] Guihua Wen, Tianyuan Chang, Huihui Li, Dynamic objectives learning for facial expression recognition, IEEE transaction on multimedia, v 22, n 11, p 2914-2925, November 2020
[20] Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Wenming Cao, Zhiwen Yu, Wendy Hall, Inner-Imaging Networks: Put Lenses into Convolutional Structure, IEEE Transactions on Cybernetics, v 52, n 8, p 8547-8560, August 1, 2022
[21] Xu, Yingxue,Wen, Guihua,Hu, Yang,Luo, Mingnan,Dai, Dan,Zhuang, Yishan,Hall, Wendy, Multiple Attentional Pyramid Networks for Chinese Herbal Recognition, Pattern Recognition, v 110, February 2021
[22] Yingxue Xu, Guihua Wen, Pei Yang, Yang Hu, Mingnan Luo, Changjun Wang and Wendy Hall ,Task-Coupling Elastic Learning for Physical Sign-Based Medical Image Classification, IEEE Journal of Biomedical and Health Informatics, v 26, n 2, p 626-637, February 1, 2022
[23] Haozan Liang, Guihua Wen, Yang Hu, Mingnan Luo, Pei Yang, Yingxue Xu, MVANet: Multi-Tasks Guided Multi-View Attention Network for Chinese Food Recognition, IEEE transaction on multimedia, v 23, p 3551-3561, 2021
[24] Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall, Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition, IEEE Transactions on Multimedia, v 24, p 2473-2487, 2022
[25] Yang Hu ,Guihua Wen, Mingnan Luo, Pei Yang, Dan Dai, Zhiwen Yu, Changjun Wangc and Wendy Hall,Fully-Channel Regional Attention Network for Disease-Location Recognition with Tongue Images, Artificial Intelligence in Medicine, v 118, August 2021
[26] Guihua Wen, Huiqiang Liao, Pengchen Wen, Tong Zhang, Huihui Li, Sande Gao, Bao Wang, Self-Labeling with Features transfer for Speech Emotion Recognition, Knowledge-based systems, online, 2022
[27] Guihua Wen , Hehong Chen , Huihui Li, Yang Hu, Yanghui Li, Changjun Wang, Cross domains adversarial learning for Chinese named entity recognition for online medical consultation, Journal of Biomedical Informatics, v 112, 2020.
[28] Guihua Wen, Jiajiong Ma, Yang Hu, Huihui Li, Lijun Jiang, Grouping Attributes Zero-Shot Learning for Tongue Constitution Recognition, Artificial Intelligence in Medicine, v109, September 2020
[29] Mingnan Luo,Guihua Wen,Yang Hu,Dan Dai,Jiajiong Ma, Learning Competitive Channel-Wise Attention in Residual Network with Masked Regularization and Signal Boosting, Expert Systems With Applications, v 160, 1 December 2020
[30] Luo, Mingnan,Wen, Guihua,Hu, Yang,Dai, Dan,Xu, Yingxue, Stochastic Region Pooling: Make Attention More Expressive, Neurocomputing, 2020,7(409):119-130
[31] Yanghui Li, Guihua Wen, Yang Hu, Mingnan Luo, Baochao Fan, Changjun Wang, Pei Yang, Multi-Source Seq2seq Guided by Knowledge for Chinese Healthcare Consultation, Journal of Biomedical Informatics, v 117, May 2021
[32] Yang Hu, Adriane Chapman, Guihua Wen, Dame Wendy Hall, What Can Knowledge Bring to Machine Learning?—A Survey of Low-shot Learning for Structured Data, ACM Transactions on Intelligent Systems and Technology, v 13, n 3, 2022
[33] Pei Yang, Qi Tan, Guihua Wen, Deep Non-negative Tensor Factorization with Multi-way EMG Data, Neural Computing and Applications, v 34, n 2, p 1307-1317, January 2022.
[34] Jiawei Chen, Xu Tan, Yichong Leng, Jin Xu, Guihua Wen, Tao Qin, Tie-Yan Liu,Speech-T: Transducer for Text to Speech, NeurIPS 2021
[35] Li Huihui, Wen Guihua; Jia Xiping; Lin Zhiyong; Zhao Huimin; Xiao Xiangling, Augmenting features by relative transformation for small data, Knowledge-Based Systems, v 225, August 5, 2021
获奖荣誉:
2024年“数据要素x”大赛广东分赛医疗健康赛道三等奖(智能中医诊疗装备的研发应用)、广东省政务服务和数据管理局、2024 年9月