Professional Title / Position：Associate Professor, Master’s Supervisor


Research Direction：Artificial Intelligence, Machine Learning, Deep Learning, Medical Image Analysis, Smart Healthcare


Team：Multimodal and Brain-Inspired Computing Team


Email：csjwei@scut.edu.cn


 Biography：

Wei Jia, male, born in January 1982 in Yongxiu County, Jiangxi Province, is currently an Associate Professor and Master’s Supervisor at the School of Computer Science and Engineering, South China University of Technology (SCUT). He also serves as a committee member of the Special Committee on Computing Power System Simulation, China Simulation Society. He received his B.Eng. (2003) and M.Eng. (2006) degrees in Computer Science and Technology from Harbin Institute of Technology, and his Ph.D. (2009) in Computer Application Technology from SCUT.


From 2004 to 2005, he worked as an engineer in the CDMA Testing Department at ZTE Corporation. From 2015 to 2016, he served as Deputy Director of the Zunyi Municipal Commission of Industry and Energy as a member of the 16th batch of the Ministry of Organization and the Central Committee of the Communist Youth League’s Ph.D. Service Group. From 2018 to 2019, he was a visiting scholar at the University of Utah, USA.


His main research interests include artificial intelligence, machine learning, deep learning, medical image analysis, and smart healthcare. He has presided over one project supported by the National Natural Science Foundation of China (NSFC), four projects supported by the Guangdong Natural Science Foundation, one Guangdong Science and Technology Project, two Guangzhou Science and Technology Projects, and two SCUT Fundamental Research Funds projects. He has also participated in more than 10 national and provincial-level projects. He has published over 50 academic papers and holds five authorized invention patents.


 Education：

 1999.9–2003.7 Harbin Institute of Technology, Computer Science and Technology, B.Eng.

 2003.9–2006.7 Harbin Institute of Technology, Computer Science and Technology, M.Eng.

 2006.9–2009.6 South China University of Technology, Computer Application Technology, Ph.D.


 Work Experience：

2004.6–2005.8 Engineer, CDMA Testing Department, ZTE Corporation

2009.7–2014.8 Lecturer, School of Computer Science and Engineering, SCUT

2014.9–present Associate Professor, School of Computer Science and Engineering, SCUT

2015.11–2016.11 Deputy Director (Secondment), Zunyi Municipal Commission of Industry and Energy

2018.9–2019.9 Visiting Scholar, Scientific Computing and Imaging Institute, University of Utah, USA


 Course：

Java Programming

Artificial Intelligence


 Projects：

Principal Investigator: 1 NSFC project, 4 Guangdong Natural Science Foundation projects, 1 Guangdong Science and Technology Project, 2 Guangzhou Science and Technology Projects, 2 SCUT Fundamental Research Funds projects.

Recent Projects:

  1. NSFC General Program (2020): Research on Personalized Psychotherapy Decision-Making Models for Mild-to-Moderate Depression Based on Deep Learning – Co-PI

  2. Guangdong Natural Science Foundation Project (2023): Multimodal Medical Image Translation Based on Target Perception – PI

  3. Guangzhou Basic and Applied Basic Research Project (2022): Multimodal Medical Image Translation Based on Target Perception – PI

  4. Guangdong Natural Science Foundation Project (2020): Medical Image Segmentation Based on Generative Adversarial Learning – PI


 Publications：

Selected Publications

  1. Sun H, Wei J*, Yuan W, et al. Semi-supervised multi-modal medical image segmentation with unified translation. Computers in Biology and Medicine, 2024, 176: 108570. (JCR Q1)

  2. Liu Z, Wei J*, Li R, et al. SFusion: Self-attention Based N-to-One Multimodal Fusion Block. MICCAI 2023. Springer Nature Switzerland, 2023: 159–169. (CCF B)

  3. Liu Z, Wei J*, Li R, et al. Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning. Computers in Biology and Medicine, 2023, 159: 106927. (JCR Q1)

  4. Wu Z, Wei J*, Wang J, et al. Slice imputation: Multiple intermediate slices interpolation for anisotropic 3D medical image segmentation. Computers in Biology and Medicine, 2022, 147: 105667. (JCR Q1)

  5. Chen Z, Wei J*, Li R. Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. IJCAI-ECAI 2022. (CCF A)

  6. Chen J, Wei J*, Li R. TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation. MICCAI 2021. Springer, 2021: 24–33. (CCF B)

  7. Yuan W, Wei J*, Wang J, et al. Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images. Medical Image Analysis, 2020, 64: 101731. (JCR Q1)

  8. Xiao Y, Wei J*, Wang J, et al. Graph constraint-based robust latent space low-rank and sparse subspace clustering. Neural Computing and Applications, 2020, 32(12): 8187–8204. (JCR Q2)

  9. Wu Z, Wei J*, Yuan W, et al. Inter-Slice Image Augmentation Based on Frame Interpolation for Boosting Medical Image Segmentation Accuracy. ECAI 2020. IOS Press, 2020: 1954–1961. (CCF B)

  10. Yuan W, Wei J*, Wang J, et al. Unified attentional generative adversarial network for brain tumor segmentation from multimodal unpaired images. MICCAI 2019. Springer, 2019: 229–237. (CCF B)


Patents

  1. Chen Junxiao, Wei Jia. Multimodal Medical Image Translation Method Based on Target-Aware Generative Adversarial Networks. Invention Patent, 2024.

  2. Zhang Kaiwen, Wei Jia. A Deep Learning Clustering Method for Noisy Images. Invention Patent, 2023.

  3. Zhang Kaiwen, Wei Jia. A Target Segmentation Method Combined with Classification Tasks. Invention Patent, 2022.

  4. Zhang Kaiwen, Wei Jia. A Weakly Supervised Target Segmentation Method Combined with Classification Tasks. Invention Patent, 2022.

  5. Pan Yulin, Wei Jia. A Few-Shot Textile Image Retrieval Method Combining Shallow and Deep Features. Invention Patent, 2022.


Awards：

Excellent Class Advisor, SCUT (2022–2023)

First Prize (Advisor), School-Level Competition of the 18th Challenge Cup National Undergraduate Extracurricular Academic Science and Technology Works Competition (Challenge Cup Competition), SCUT (2023)

Third Prize (Advisor), School-Level Competition of the 18th Challenge Cup Competition, SCUT (2023)

Second Prize (Advisor), Innovation Group, The 7th National Youth Conference on Artificial Intelligence Innovation and Entrepreneurship, CAAI (2022)

First Prize, Outstanding Student Innovation Instructor, SCUT (2017)

Excellent Undergraduate Thesis (Design) Supervisor, SCUT (2017, 2015)

Third Prize, Outstanding Student Innovation Instructor, SCUT (2015)