Academic Qualification

Ph.D. in Computer Science and Technology, Harbin Institute of Technology, China, 1989.

M.S. in Computer Science and Technology, Harbin Institute of Technology, China, 1986.

B.S. in Computer Science and Technology, Harbin University of Science and Technology, China, 1983.

Teaching Area

• Artificial Intelligence.

• Machine Learning.

Research Area

• Computer Vision.

• Multimodal Information Processing.

• Machine Learning.

• Artificial Intelligent.

Working Experience

• 2019-Present, Professor/Program Director, School of Computer Science and Engineering, Faculty of Information Technology, Macau University of Science and Technology, Macau, China.

• 2010-2018, Professor/Executive Vice Dean/Dean, School of Electronic and Computer Engineering, Peking University, China; Deputy Director, Guangzhou R&D Center, National Engineering Lab for Video Technology, China; Professor, School of Software Engineering, South China University of Technology, China.

• 2003-2009, Senior Engineer/General Manager, DTV Software Department, Zentek Technology Japan, Inc., Japan.

• 2000-2022, Senior Engineer/Chief Engineer, Liberate Technologies Inc. USA.

• 1992-1999 Section Vice Chief/Staff Engineer, Canotec Co., Inc., Canon Group. Japan.

• 1989-1991, Assistant Professor/Associate Professor, Harbin Institute of Technology, Harbin University of Science and Technology, China.

Academic Publication (Selected)

1. Yuzhong Wang, Wenmin Wang*, Shixiong Zhang, Xinxing Yu, Zhongheng Chen. "MCGS: Markov Chain Gaussian Splatting for Dynamic Scenes Reconstruction." AAAI Conference on Artificial Intelligence, 2026.

2. Yifan Zhang, Jianguo Wang, Zhongliang Tang, Wenmin Wang*. Insert Anyone. "High-Fidelity Full-Body Photo Insertion via Dual-branch Adapters." Expert Systems with Applications, 307, 2026.

3. Minglu Zhao, Wenmin Wang*, Rui Zhang, Haomei Jia, and Qi Chen. "TIA2V: Video generation conditioned on triple modalities of text–image–audio." Expert Systems with Applications, 268, 2025.

4. Honglei Li, Yifan Zhang, Wenmin Wang*, Shenyong Zhang, and Shixiong Zhang. "SwapInpaint2: Towards high structural consistency in identity-guided inpainting via background-preserving GAN inversion." Pattern Recognition, 158, 2025.

5. Xinhe Liu, and Wenmin Wang*. "Treeformer: Deep Tree-Based Model with Two-Dimensional Information Enhancement for Multivariate Time Series Forecasting", Mathematics, 13(17), 2025.

6. Cheng Yu, Wenmin Wang*, and Roberto Bugiolacchi. "Improving generative adversarial network inversion via fine-tuning GAN encoders." Applied Soft Computing, 166, 2024.

7. Zhibing Wang, Wenmin Wang*, Nannan Li, Shenyong Zhang, Qi Chen, Zhe Jiang. " Multimodal parallel attention network for medical image segmentation." Image and Vision Computing, 147, 7, 2024.

8. Ruochen Li, Wenmin Wang*, Huanqiang Hu, Tongbao Chen, and Minglu Zhao. "Ultrahigh-definition video quality assessment: A New Dataset and Benchmark." Neurocomputing, 586, 2024.

9. Tongbao Chen, Wenmin Wang*, Minglu Zhao, Ruochen Li, Zhe Jiang, and Cheng Yu. "SgLFT: Semantic-guided Late Fusion Transformer for video corpus moment retrieval." Neurocomputing, 2024.

10. Minglu Zhao, Wenmin Wang*, Tongbao Chen, Rui Zhang, Ruochen Li. "TA2V: Text-Audio Guided Video Generation." IEEE Trans. on Multimedia (TMM), 26(2), 2024.

11. Yahong Wang, Wenmin Wang*, Cheng Yu, Hongbo Sun, and Ruimin Zhang. "Approximating Partial Differential Equations with Physics-Informed Legendre Multiwavelets CNN." Fractal and Fractional, 8(2), 2024.

12. Tongbao Chen, Wenmin Wang*, Zhe Jiang, Ruochen Li, and Bingshu Wang. "Cross-Modality Knowledge Calibration Network for Video Corpus Moment Retrieval." IEEE Trans. on Multimedia (TMM), 26(1), 2024.

13. Tongbao Chen, Wenmin Wang*, Kangrui Han and Huijuan Xu. "SaGCN: Semantic-aware Graph Calibration Network for Temporal Sentence Grounding." IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 33(6), 2023.

14. Shenyong Zhang, Wenmin Wang*, Honglei Li, and Shixiong Zhang. "Bounding Convolutional Network for Refining Object Locations." Neural Computing and Applications, 1-17, 2023.

15. Shixiong Zhang, Wenmin Wang*, Honglei Li, and Shenyong Zhang. "E-detector: Asynchronous Spatio-temporal for Event-based Object Detection in Intelligent Transportation System." ACM Trans. on Multimedia Computing, Communications and Applications, 2023.

16. Cheng Yu, Wenmin Wang*, Honglei Li, and Roberto Bugiolacchi. "Fast 2-step regularization on style optimization for real face morphing." Neural Networks, 155, 2022.

17. Honglei Li, Wenming Wang, Cheng Yu, and Shixiong Zhang. "SwapInpaint: Identity-specific Face Inpainting with Identity Swapping." IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 32(7), 2022.

18. Xiongtao Chen and Wenmin Wang*. “Uni-and-Bi-directional Video Prediction via Learning Object-Centric Transformation.” IEEE Trans. on Multimedia (TMM), 22(6), 2020.

19. Jinzhuo Wang, Wenmin Wang* and Wen Gao. “Fast and Accurate Action Detection in Videos with Motion-Centric Attention Model.” IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 30(1), 2020.

20. Lun Huang, Wenmin Wang*, Yaxian Xia and Jie Chen. “Adaptively Aligned Image Captioning via Adaptive Attention Time.” Advances in Neural Information Processing Systems (NeurIPS), Dec 2019. Vancouver, Canada.

21. Jinzhuo Wang, Wenmin Wang* and Wen Gao. “Predicting Diverse Future Frames with Local Transformation-Guided Masking.” IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 29(12), 2019.

22. Lun Huang, Wenmin Wang*, Jie Chen and Xiaoyong Wei. “Attention on Attention for Image Captioning.” IEEE Int’l Conf. on Computer Vision (ICCV), Oct 2019. Seoul, Korea.

Books

• Wenmin Wang. Principles of Machine Learning: The Three Perspectives, Springer Nature. Oct. 2024.

• Wenmin Wang. Principles of Artificial Intelligence (Chinese Edition), Higher Education Press. Aug. 2019.

Patents

1. W Wang, M Fan, P Dong, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. Cross-media retrieval method based on deep semantic space. US Patent 11,397,890 (2022)

2. W Wang, Z Li, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. Video action detection method based on convolutional neural network. US Patent 11,379,711 (2022)

3. W Wang, R Zhang, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. MCMC framework-based sub-hypergraph matching method and device. US Patent 11,347,979 (2022)

4. W Wang, Y Zhang, R Wang, G Li, D Shengfu, Z Wang, Y Li, W Gao. Image feature extraction method for person re-identification. US Patent 11,238,274 (2022)

5. W Wang, L Ran, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. Method of bidirectional image-text retrieval based on multi-view joint embedding space. US Patent 11,106,951 (2021)

6. W Wang, Y Zhang, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. Method of using deep discriminate network model for person re-identification in image or video. US Patent 11,100,370 (2021)

7. W Wang, P Dong, M Fan, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. Method for detecting pedestrians in image by using Gaussian penalty. US Patent 11,030,444 (2021)

8. W Wang, H Song, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. Collaborative deep network model method for pedestrian detection. US Patent 10,867,167 (2020)

9. W Wang, L Han, M Fan, R Wang, G Li, D Shengfu, Z Wang, Y Li, H Zhao, W Gao. Cross-media search method. US Patent 10,719,664 (2020)

10. W Wang, R Zhang, R Wang, G Li, D Shengfu, Z Wang, Y Li, W Gao. Method and a device for image matching. US Patent 10,699,156 (2020)

11. W Wang, M Zhen, R Wang, G Li, D Shengfu, Z Wang, Y Li, W Gao. Image representation method and processing device based on local PCA whitening. US Patent 10,424,052 (2019)

12. W Wang, M Zhen, R Wang, G Li, D Shengfu, Z Wang, Y Li, W Gao. Method and a device for extracting local features of a three-dimensional point cloud. US Patent 10,339,409 (2019)

Professional Certification and Awards (Selected)

• National Excellent Online Open Course, China, 2018

• Teaching Excellence Award, Peking University, China, 2017.

Student Awards (Selected)

• Best Paper Award: Hongmeng Song, Wenmin Wang, Jinzhuo Wang and Ronggang Wang. “Collaborative Deep Networks for Pedestrian Detection,” IEEE Int’l Conf. on Multimedia Big Data (BigMM), 2017. Laguna Hills, California, USA.

• Best Top 10% Paper Award: Peilei Dong and Wenmin Wang. “Better Region Proposals for Pedestrian Detection with R-CNN,” IEEE Int’l Conf. on Visual Communications and Image Processing (VCIP), 2016. Chengdu, China.

Professional Society Membership

• Senior Member, Association for Computing Machinery (ACM).

• Senior Member, Institute of Electrical and Electronics Engineers (IEEE).

• Senior Member, China Computer Federation (CCF).

• Member, Chinese Association for Artificial Intelligence (CAAI)