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文贵华 Gui-hua Wen
博导,教授,机器学习与数据挖掘实验室负责人

Mail:广州大学城华南理工大学计算机科学与工程学院 510006     Office:B3-509
Email: crghwen@scut.edu.cn          URL:http://www.hgml.cn/
Tel: (+86)20-39380286 -3509          Fax:

English
个人简介

文贵华,男,教授,博士生导师。华南理工大学机器学习与数据挖掘实验室主、广东省人工智能中医工程技术研究中心主任。目前是政府科技部门、国家自然科学基金、国家科技进步奖等评审专家。主持多项国家自然科学基金、广东省重点领域研究计划项目、广州市产学研重大项目等。主要研究方向:认知计算,机器学习,神经网络,数据挖掘,及其它们在智能医疗中的应用。


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。近三年共发表SCI论文17篇,授权发明专利11件。目前还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。


联合企业研究人工智能新方法的创新应用:情感情识别和智能中医,研制了智能中医机器人平台、智能中医体质辨识机器人、智能中医诊疗机器人等领航产品。


研究兴趣: 机器学习、数据挖掘、情感识别、智慧中医
讲授课程:人工智能

近年主持项目:

[1] 广东省重点领域研发计划项目,基于复杂感知和深度学习的中医诊疗康复设备研发,2020-2023

[2] 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(201803010088), 2018-2020

[3] 文贵华主持,国家自然科学基金面上项目,格式塔规律的几何推理关键技术研究(61273363),2013-2016

[4] 国家自然科学基金面上项目,基于认知规律几何化的流形学习(60973083),2010-2012。

[5] 广东省公益研究与能力建设专项资金,老年人情绪视频监控系统研发(2014A010103009) 2015-2016。

[6] 广东省公益研究与能力建设专项资金,大数据特定人群识别关键技术研发(2015A020217002)2016-2017

[7] 广州市产学研协同创新重大专项,大数据体质辨识关键技术及移动应用研发(201604020179),2016-2017



近期代表论文

  1. Yang Hu, Guihua Wen, Adriane Chapman, et al. Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition, IEEE Transactions on Multimedia (JCR 1区), 2021
  2. Yang Hu, Guihua Wen, Mingnan Luo, et al. Fully-Channel Regional Attention Network for Disease-Location Recognition with Tongue Images, Artificial Intelligence In Medicine (JCR 1区), 2021.
  3. Li H, Wen G, Jia X, et al. Augmenting features by relative transformation for small data[J]. Knowledge-Based Systems (JCR 1区), 2021: 107121.
  4. Li Y, Wen G, Hu Y, et al. Multi-source Seq2seq guided by knowledge for Chinese healthcare consultation[J]. Journal of Biomedical Informatics (JCR 1区), 2021, 117: 103727.
  5. Guihua Wen, Tianyuan Chang, Huihui Li, Dynamic objectives learning for facial expression recognition, IEEE transaction on multimedia (JCR 1区), 2020 DOI:10.1109/TMM.2020.2966858
  6. 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(JCR 1区), 2020
  7. Xu, Yingxue,Wen, Guihua*,Hu, Yang,Luo, Mingnan,Dai, Dan,Zhuang, Yishan,Hall, Wendy, Multiple Attentional Pyramid Networks for Chinese Herbal Recognition, Pattern Recognition(JCR 1区), 2020
  8. 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(JCR 1区), 2020 DOI: 10.1109/TMM.2020.3028478
  9. GuihuaWen,HehongChen,HuihuiLi,YangHu, YanghuiLi, ChangjunWang, Cross domains adversarial learning for Chinese named entity recognition for online medical consultation, Journal of Biomedical Informatics(JCR 1区), Volume 112, 2020.
  10. Guihua Wen, Jiajiong Ma, Yang Hu, Huihui Li∗, Lijun Jiang, Grouping Attributes Zero-Shot Learning for Tongue Constitution Recognition, Artificial Intelligence In Medicine (JCR 1区), 2020
  11. 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 JCR 1区, 2020, 10.1016/j.eswa.2020.113591
  12. Luo, Mingnan,Wen, Guihua*,Hu, Yang,Dai, Dan,Xu, Yingxue, Stochastic Region Pooling: Make Attention More Expressive, Neurocomputing JCR 1区, 2020,7(409):119-130
  13. 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 ,2020, DOI: 10.1109/TCYB.2019.2909925
  14. Ma Jiajiong, Wen Guihua*, Wang Changjun, Jiang Lijun; Complexity Perception Classification Method for Tongue Constitution Recognition, Artificial Intelligence in Medicine, 2019, 已录用(JCR 2)
  15. Li Danyang, Wen Guihua, Li Xu, Cai Xianfa, Graph-based dynamic ensemble pruning for facial expression recognition, Applied Intelligence, 2019 , 已录用(JCR2)
  16. Li Huihui, and Guihua Wen*, Sample awareness-based personalized facial expression recognition, Applied Intelligence, 2019, 已录用(JCR2)
  17. Hu Yang, Wen Guihua*, Ma Jiajiong, Li Danyang, Wang Changjun, Li Huihui, Huan Eryang, Label-indicator morpheme growth on LSTM for Chinese healthcare question department classification [J]. Journal of biomedical informatics, 2018, 82: 154-168.(JCR 2)
  18. Li Huihui, Wen Guihua, and Zeng Haibin. Natural tongue physique identification using hybrid deep learning methods, Multimedia Tools and Applications, 2018: 1-22. (JCR3)
  19. Li, Danyang, Wen Guihua, Hou Zhi, Huan Eryang, Hu Yang, Li Huihui, RTCRelief-F: an effective clustering and ordering-based ensemble pruning algorithm for facial expression recognition, Knowledge and Information Systems 2018: 1-32. (JCR2)
  20. Luo Dazhi, Wen Guihua, Li Danyang, Hu Yang, Huan Eryang, Deep-learning-based face detection using iterative bounding-box regression, Multimedia Tools and Applications, 2018, 77(19): 24663-24680. (JCR3)


近期已提交论文

[1]  Yingxue Xu, Guihua Wen*, Pei Yang, Yang Hu, Mingnan Luo, Changjun WangTask-Coupling Elastic Learning for Physical Sign-based Medical Image Classification, IEEE Journal of Biomedical and Health Informatics (submitted), 2020

[2] Yuhua Huang, Rongxing Ma, Guihua Wen*, et al. Prescription Retrieval Based on Tongue Image, IEEE Journal of Biomedical and Health Informatics (submitted), 2021

 

发明专利

[1]  文贵华;孙亚新;李辉辉,一种基于流形的语音情感识别方法 - 201310383093.6;103440863B发明专利,发明授权

[2]  文贵华;孙亚新,一种结合局部与全局信息的语音情感特征提取方法 - 201310460191.5,发明专利,实审阶段

[3]  文贵华;孙亚新,一种基于半监督特征选择的语音情感识别方法 - 201410216935.3,发明专利,实审阶段

[4]  文贵华;孙亚新,一种结合降维和认知引力模型的人脸表情识别方法 - 201510467926.6,发明专利,实审阶段

[5]  文贵华;李丹扬,基于贝叶斯融合稀疏表示分类器的人脸情感识别方法 - 201510469456.7,发明专利,实审阶段

[6]  文贵华,李怀,一种基于集成卷积神经网络的年龄识别方法,发明专利,已受理申请

[7]  文贵华,黄驹斌,一种基于集成深度信念网络的语音情感识别方法,发明专利,已受理申请

[8]  文贵华,吴泽银,一种基于集成卷积神经网络的性别识别方法,发明专利,已受理申请

[9]  文贵华,邱盛,一种基于集成卷积神经网络的民族识别方法,发明专利,已受理申请

 

软件著作权

[1] 文贵华等,面部识别平台软件V1.0,软件著作权,已受理。

[2] 文贵华等,情绪视频监控系统软件V1.0,软件著作权,已受理。


博士生

2016级:胡杨

2015级:郇二洋

2014级:李丹扬

2013级:李辉辉

2012级:孙亚新

 

硕士生

2020级:黄钰桦、李明欢、陈家炜、蔡文俊、何特

2019级:徐映雪、梁浩赞、诸俊浩

2018级:李杨辉、马荣兴、叶升

2017级:马佳炯、骆明楠、廖辉强

2016级:常天元、陈河宏

2015级:罗达志、庄亦姗、何杰、王科文、陈洪健