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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,1968年生,华南理工大学机器学习与数据挖掘实验室主任,获博士学位,教授,博士生导师2005~2006年国家公派英国访问学者,与英国皇家学会院士、现牛津大学耶稣学院院长Nigel R Shadbolt教授合作研究人工智能。目前是政府科技部门、行业学会、国家自然科学基金项目、国家科技进步奖等评审专家。


主持国家自然科学基金、广东省科技计划、广州产学研重大专项等项目。近年发表机器学习与数据挖掘论文有

SCI期刊国际A类会议AAAIIJCAIB类会议等共三十余篇,申请并获得受理的专利和软件著作权11项,微表情识别研究成果获得羊城晚报报道。积极将研究成果产业化,聚焦于人脸识别、情感识别、智慧中医领域,研制了面部识别平台和智慧中医平台,全力打造智慧中医大健康服务平台,为人人健康服务。


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

近年项目:

[1] 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),项目起止时间:2013.01-2016.12

[2] 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),项目起止时间:2010.01-2012.12

[3] 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

[4] 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

[5] 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(民生科技专题) 2016-2017

[6] 文贵华主持(华南理工大学部分) 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, 2018/3-2020/3, 200万. 在研,经费100万.


近期论文

[1] Hu Yang, Wen Guihua*, Liao Huiqiang, Wang Changjun, Dai Dan, Yu Zhiwen, Automatic construction of Chinese herbal prescription from tongue image via CNNs and auxiliary latent therapy topics, IEEE Transactions on Cybernetics, 2019, 已录用(JCR 1影响因子 10.387)

[2] 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)

[3] Li Danyang, Wen Guihua, Li Xu, Cai Xianfa, Graph-based dynamic ensemble pruning for facial expression recognition, Applied Intelligence, 2019 , 已录用(JCR2)

[4] Li Huihui, and Guihua Wen*, Sample awareness-based personalized facial expression recognition, Applied Intelligence, 2019, 已录用(JCR2)


[5] 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)

[6] Li Huihui, Wen Guihua, and Zeng Haibin. Natural tongue physique identification using hybrid deep learning methods, Multimedia Tools and Applications, 2018: 1-22. (JCR3)

[7] 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)

[8] 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)

[9]  Xian-Ling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen, S2JSD-LSH:A Locality-Sensitive Hashing Schema for Probability Distributions, AAAI 2017  A类会议

[10]  Sun, Yaxin, Wen, Guihua, Ensemble softmax regression model for speech emotion recognition, Multimedia Tools and Applications, p 1-24, April 2, 2016(SCI收录)

[11]  Sun, Yaxin; Wen, Guihua, Cognitive gravitation model-based relative transformation for classification, Soft Computing, p 1-17, April 12, 2016(SCI收录)

[12]  Sun, Yaxin ; Wen, Guihua; Wang, Jiabing, Weighted Spectral Features based on Local Hu Moments for Speech Emotion Recognition, Biomedical Signal Processing and Control, Volume 18, April 2015, Pages 80-90(SCI收录)

[13]  Sun, Yaxin; Wen, Guihua,Emotion Recognition using Semi-supervised Feature Selection with Speaker NormalizationInternational Journal of Speech Technology, v 18, n 3, p 317-331, September 30, 2015

[14]  Cai, Xianfa; Wen, Guihua; Wei, Jia; Yu, Zhiwen, Erratum to: Relative manifold based semi-supervised dimensionality reduction, Frontiers of Computer Science, October 28, 2015

[15]   Wen, Guihua; Li, Huihui; Li, Danyang, An ensemble convolutional echo state networks for facial expression recognition ,2015 International Conference on Affective Computing and Intelligent Interaction(workshop), ACII 2015, p 873-878, December 2, 2015

[16]  Sun, Yaxin; Wen, Guihua, Adaptive feature transformation for classification with sparse representation, Optik, v 126, n 23, p 4452-4459, 2015 SCI收录

[17]  Wen, Guihua ; Jiang, Lijun; Wen, Jun  Multiple perceptual neighborhoods-based feature construction for pattern classification, Neurocomputing, 2014SCI收录

[18] Cai, Xianfa; Wen, Guihua; Wei, Jia; Li, Jie; Yu, Zhiwen,Perceptual relativity-based semi-supervised dimensionality reduction algorithm. Appl. Soft Comput. 16: 112-123 (2014) SCI收录

[19] Cai, Xianfa ; Wei, Jia; Wen, Guihua; Yu, Zhiwen,Local and Global Preserving Semi-supervised Dimensionality Reduction based on Random Subspace for Cancer Classification, IEEE Journal of Biomedical and Health Informatics, v 18, n 2, p 500-507, March 2014 SCI收录

[20] Wei Jia, Zeng Qunfang, Wang Xuan, Wang Jiabing, Wen Guihua. Integrating local and global topological structures for semi-supervised dimensionality reduction. Soft Computing, 18(6):1189-1198, 2014

[21]  Wen, Guihua,Wei, Jia; Wang, Jiabing; Zhou, Tiangang; Chen, L. Cognitive gravitation model for classification on small noisy data. Neurocomputing 118: 245-252 (2013) SCI收录

[22] Li, Haisheng; Wen, Guihua; Yu, Zhiwen; Zhou, Tiangang, Random subspace evidence classifier.  Neurocomputing 110: 62-69 (2013) SCI收录

[23] Wen, Guihua , Jiang, Lijun; Wen, Jun; Wei, Jia; Yu, Zhiwen, Perceptual relativity-based local hyperplane classification. Neurocomputing 97: 155-163 (2012) SCI收录 

[24] Zhiwen Yu , Hau-San Wong , Guihua WenA modified support vector machine and its application to image segmentation Image and Vision Computing,  2011, 29(1), 2012 SCI收录

[25] Wang, Jiabing; Zhang, Pei; Wen, Guihua; Wei, Jia,Classifying categorical data by rule-based neighbors 2012 IEEE International Conference on Data Mining, 2012 B类会议

[26] Wen Guihua, Wen Jun, Jiang Lijun, Perceptual Nearest Neighbors for Classification, 5thEEE International Conference on Bio-Inspired Computing: Theories and Applications(BIC-TA),2010 (EI)

[27] Wen Guihua,Pan Xingjiang, Jiang Lijun, Wen Jun, Modeling Gestalt Laws for Classification, 9th IEEE International Conference on Cognitive Informatics, 2010 (EI)

[28Guihua Wen, Lijun Jiang, Jun Wen . Local relative transformation with application to isometric embedding, Pattern Recognition Letters, 2009,30(3) 203-211(SCI))

[29] 文贵华, 陆庭辉, 江丽君, 文军, 基于相对流形的局部线性嵌入, 软件学报,2009,20(9):2376-2386

[30] Wen, Guihua et al, Using Locally Estimated Geodesic Distance to Optimize Neighborhood Graph for Isometric Data Embedding, Pattern Recognition, 2008,41(7):2226-2236 SCI收录

[31] 文贵华等,邻域参数动态变化的局部线性嵌入,软件学报, 200819(7): 1666-1673

[32] 文贵华等,面向机器学习的相对变换,计算机研究与发展,2008 ,45(4): 612-618

[33]  Guihua Wen, Lijun Jiang, Nigel R. Shadbolt ,Using Graph Algebra to Optimize Neighborhood for Isometric Mapping,20th International Joint Conference on Artificial Intelligence (IJCAI-07), India,2007 A类会议

 

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

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