AASIP 2023
The Successful Conclusion of AASIP 203
The 2023 3rd International Conference on Advanced Algorithms and Signal Image Processing（AASIP 2023) had been successfully held on June 30-July 2, 2023 in Kuala Lumpur, Malaysia. The conference aims to provide a platform for experts and scholars engaged in Advanced Algorithms and Signal Image Processing research, university graduate students and teachers to share scientific research achievements and cutting-edge technologies, understand academic development trends, broaden research ideas. AASIP sessions will include presentations on new research results and tutorials. Papers describing original work are invited in any of the computer, advanced algorithms and signal image processing areas that the Call for Papers considers. Accepted papers will be included in the AASIP 2023 Conference Proceedings.
Group Photos
Keynote Speeches
Keynote Speaker 1
Assoc. Prof. Por Lip Yee University of Malaya, Malaysia Speech Title: Driver Profiling in Malaysia | Keynote Speaker 2
Assoc. Prof. Pavel Loskot, IEEE Senior Member Zhejiang University-University of Illinois at Urbana-Champaign Institute (ZJUI), China Speech Title: Algorithmic Problems in Computational Molecular Biology |
Keynote Speaker 3
Prof. Chuan-Ming Liu National Taipei University of Technology (NTUT), Taiwan, China Speech Title: Learned Indices for Spatial Data | Keynote Speaker 4
Assoc. Prof. Rajamohan Parthasarathy SEGI University, Malaysia Speech Title: Machine Learning Algorithms and Deep Learning Techniques for Emerging Artificial Intelligence Technologies in Image Processing |
Oral Speeches
Chao Yu, Southeast University, China Report Title: Technology and Security Analysis of Cryptocurrency Based on Blockchain |
Xiang Zhao, Zhejiang Ocean University, China Report Title: MAL-Net：Multi-scale feature extraction and attention mechanism lightweight network for CSI feedback |
Xiaoyu Xu, Xizang Minzu University, China Report Title: A rumor detection model combining propagation structure and content features |  Yiting Wu, Zhejiang Ocean University, China Report Title: Low-light Image Enhancement Combining Dehazing and Auxiliary Channels |
Hongjie Wu, Jiangsu University of Science and Technology, China Report Title: Light Field Saliency Object Detection Based on Self-selected Multi-modal Fusion |
Fubao Song, Xinjiang University, China Report Title: Classification of X-ray images of COVID-19 based on CNN and improved Swin Transformer model |
Hongmei Li, Shandong University of Science and Technology, China Report Title: Entropy-based Layered Evacuation Strategy and Simulation for Multi-storey Building Fire Scene | |
