Cao Wenming is currently the director of the Guangdong Multimedia Information Service Engineering Technology Research Center of Shenzhen University, Ph.D., Professor, Doctoral supervisor, and foreign academician of the Russian Academy of Natural Sciences. He has long been engaged in geometric algebra and has achieved a series of original results in sensor networks, multispectral images, target detection and evaluation research, etc. He has served as an editorial board member for the 8th edition of the Electronic Journal (2005-2009) and the 11th edition of the Electronic Journal (2021-2026). Additionally, he is the Deputy Chair of the Intelligent Computing and Neural Networks Committee of the Chinese Association for Artificial Intelligence, and he holds the position of Director at IEEE Communications Society, Multimedia Communications Technical Committee. He is also an Associate Editor for Springer Nature's "Discover Internet of Things" journal. Currently, he has obtained 4 National Natural Science Foundation projects, 2 sub-projects of the 973 Program, 2 provincial-level projects, 2 national defense projects, and 1 project from the Ministry of Education. He has also been awarded 1 project from the China Scholarship Council for studying abroad and multiple projects at the municipal level. He has published over 280 relevant research papers, holds more than 17 related invention patents, and has authored 10 specialized books.

[1]1979.09—1982.07  Huaiyin Normal University，department of mathematics

[2]1984.09—1986.07  Jiangsu Education College, department of mathematics

[3]1988.09—1991.07 Chendu Technology University,Applied Mathematics Master's Degree

[4]1995.03-2003.06  Southeastern University Automatic Institute，Ph.D

[5]2005.06-2007.12  Institute of Semiconductors, Academia Sinica, Post-Doctoral

[1]1982.08—1984.09   Middle schools mathematics Teacher Hongze

[2]1986.07—1988.09 Middle schools mathematics Teacher Hongze

[3]1992.07—2002.07  Nanjing City Works University，Department of Electronic Lecture

[4]2002.07—2006.07 Zhejiang University of Technology, Measure and Control research institute; Director

[5]2006.07—2010.12  Vice-Professor, College of Information Engineering Shenzhen University

[6]2010.12—  Professor, College of Information Engineering Shenzhen University

[1]2005, I participated in the "YZC/YSQ Series Refrigeration Compressor Testing Technology and Testing System" and won the second prize of Zhejiang Province Science and Technology Progress Award.

[1]Multimedia Information Processing

[2]Artificial intelligence

[1]Yin, X., Zhang, C., Huang, Z., He, Z., & Cao, W. (2024). Unsupervised Action Recognition using Spatiotemporal, Adaptive, and Attention-guided Refining-Network. IEEE Transactions on Artificial Intelligence.

[2]Cao, W., Zhang, A., He, Z., Zhang, Y., & Yin, X. (2024). Hierarchical Spatial-temporal Masked Contrast for skeleton action recognition. IEEE Transactions on Artificial Intelligence, 1(01), 1-14.

[3]Zhong, J., Huang, J., & Cao, W. (2024). Tacking over-smoothing: Target-guide progressive dynamic graph learning for 3D skeleton-based human motion prediction. Expert Systems with Applications, 124914.

[4]Zhang, H., Wu, C., Cao, G., Wang, H., & Cao, W. (2024, March). HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 7, pp. 7051-7059).

[5]Luo, J., Dong, Y., Liu, Q., Zhu, Z., Cao, W., Tan, K. C., & Jin, Y. (2024). A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Transactions on Emerging Topics in Computational Intelligence.

[6]Wang, H., Cao, J., Shi, Z. L., Leung, C. S., Feng, R., Cao, W., & He, Y. (2024). Image Classification on Hypersphere Loss. IEEE Transactions on Industrial Informatics.

[7]Shi, J., Zhong, J., & Cao, W. (2023). Multi-semantics aggregation network based on the dynamic-attention mechanism for 3d human motion prediction. IEEE Transactions on Multimedia.

[8]Zhong, J., & Cao, W. (2023). Geometric algebra-based multiscale encoder-decoder networks for 3D motion prediction. Applied Intelligence, 53(22), 26967-26987.

[9]Liu, Q., Cao, W., & He, Z. (2023). Cycle optimization metric learning for few-shot classification. Pattern Recognition, 139, 109468.

[10]Zhong, J., & Cao, W. (2023). Geometric algebra-based multiview interaction networks for 3D human motion prediction. Pattern Recognition, 138, 109427.