About me
Jiang Bo is a member of the China Society of Image and Graphics, a member of the Chinese Association for Artificial Intelligence, and serves as the Vice Chairman of the Shenzhen Computer Society chapter. He obtained his Ph.D. from the School of Computer Science and Technology at the Harbin Institute of Technology, Shenzhen Campus, under the guidance of Professor Lu Guangming. My research focuses on computer vision, particularly deep learning, pattern recognition, behavior recognition, image fusion, and image denoising. Prior to this, I earned my master’s and bachelor’s degrees from Northwest Agriculture and Forestry University, supervised by Professor Song Huaibo. He has been invited to serve as a reviewer for the IEEE Trans. series journals and Elsevier series journals.
News:
2023-09-14: IEEE Transactions on Industrial Informatics has accepted my paper titled AGP-Net: Adaptive Graph Prior Network for Image Denoising.
2023-06-24: IEEE Transactions on Systems, Man, and Cybernetics has accepted my paper titled Graph Attention in Attention Network for Image Denoising.
2023-02-26: IEEE Transactions on Circuits and Systems for Video Technology has accepted my paper titled Few-Shot Learning for Image Denoising.
2023-01-20: Information Fusion has accepted my paper titled Enhanced Frequency Fusion Network with Dynamic Hash Attention for image denoising.
2022-10-01: Speech Communication has accepted my paper titled Recursive Feature Diversity Network for audio super-resolution.
2022-08-09: IEEE Transactions on Instrumentation and Measurement has accepted my paper titled Multi-level Noise Contrastive Network for Few-shot Image Denoising.
2022-04-22: Knowledge-Based Systems has accepted my paper titled Real Noise Image Adjustment Networks for Saliency-aware Stylistic Color Retouch.
2022-02-07: IEEE Transactions on Circuits and Systems for Video Technology has accepted my paper titled Deep image denoising with adaptive priors.