Professional Title / Position： Professor
Research Direction：Brain-Inspired Cognitive Computing , Machine Learning , Affective Computing , AI in Medicine
Team：Head of the Machine Learning and Data Mining Laboratory, South China University of Technology, and the Guangdong Province Engineering Research Team for AI in Traditional Chinese Medicine
Email：crghwen@scut.edu.cn
Biography：
I has pioneered several innovative methodologies, including cognitive geometry, creative machine learning, phased learning, and internal imaging neural networks, with resultant research published in leading JCR Q1 journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, and Pattern Recognition. My publication record includes 55 SCI papers as first or corresponding author, complemented by 33 granted invention patents. A significant international collaboration has been established through a formal agreement with Dame Wendy Hall, Vice-President of the University of Southampton, former President of ACM, Fellow of the Royal Society (FRS) and Fellow of the Royal Academy of Engineering (FREng), leading a joint team focused on knowledge graphs for medical applications. This project exemplifies a multidisciplinary effort, deeply integrating Artificial Intelligence, Physics, Mathematics, Traditional Chinese Medicine (TCM), and integrative medicine, building upon the team's strong foundational research in cross-disciplinary studies.
Education：
2001 // South China University of Technology / Ph.D.
1994 // Nanjing University of Aeronautics and Astronautics / M.S.
1991 // Hubei University of Automotive Technology / B.S.
Work Experience：
2009 - Present // School of Computer Science and Engineering, South China University of Technology / Professor
2006 - 2009 // School of Computer Science and Engineering, South China University of Technology / Associate Researcher
2003 - 2006 // Institute of Computer Applications, South China University of Technology / Associate Researcher
1994 - 2004 // Institute of Computer Applications, South China University of Technology / Engineer
Course：
Artificial Intelligence
Projects：
[1] Explainable Deep Neural Network for Tongue Diagnosis, National Natural Science Foundation of China (General Program), 2022-2025, Principal Investigator
[2] TCM Diagnostic and Rehabilitation Equipment Based on Complex Perception and Deep Learning, Guangdong Province Key Area R&D Plan Project, 2020-2024, Principal Investigator
[3] Intelligent TCM-Based Health Preservation Equipment for Diet Therapy, Guangzhou Key R&D Program, 2023-2025, Principal Investigator
[4] Establishing TCM Preventive Healthcare Technology System to Promote "TCM+" Innovation Model -- A Case Study of Hyperuricemia Prevention, Guangzhou Major TCM Technology Project, 2025-2027, Lead Principal Investigator (Participating Unit)
[5] Continuous Dialogue-Based Intelligent Acupuncture Consultation System, Guangzhou Science and Technology Planning Project, 2024-2025, Lead Principal Investigator (Participating Unit)
[6] AI Acupuncture Diagnosis/Treatment Methods and System Based on Large-Scale Knowledge Graph, Guangzhou Science and Technology Planning Project, 2023-2024, Lead Principal Investigator (Participating Unit)
[7] Intelligent TCM Diagnosis and Treatment Joint Laboratory (Guangzhou Hospital of TCM & South China University of Technology), Cooperative Project, 2023-2026, Principal Investigator
[8] AI Big Data TCM Inspection (Wangzhen) Key Technologies and Platform, Guangzhou Industry-University-Research Collaborative Innovation Major Project, 2018-2020, Lead Principal Investigator (Participating Unit)
[9] Big Data Constitution Identification Key Technologies and Mobile Application, Guangzhou Industry-University-Research Collaborative Inno
vation Major Project, 2016-2017, Principal Investigator
[10] Geometric Reasoning Key Technologies for Gestalt Laws, National Natural Science Foundation of China (General Program), 2013-2016, Principal Investigator
[11] Manifold Learning Based on Geometrization of Cognitive Laws, National Natural Science Foundation of China (General Program), 2010-2012, Principal Investigator
[12] Video-Based Emotion Monitoring System for Elderly, Guangdong Public Welfare Research and Capacity Building Special Funds, 2015-2016, Principal Investigator
[13] Key Technologies for Specific Population Recognition in Big Data, Guangdong Public Welfare Research and Capacity Building Special Funds, 2016-2017, Principal Investigator
Publications：
[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
Awards：
Third Prize, Healthcare Track, "Data Factor X" Innovation Competition (Guangdong Division), for work on Intelligent TCM Diagnostic Equipment. (Guangdong Provincial Government Service and Data Administration Bureau, Sep 2024)
