Published by: Institute of Artificial Intelligence and Information Fusion
| Edited by: Media Convergence Center
WUST News — The Institute of Artificial Intelligence and Information Fusion at Wuhan University of Science and Technology (WUST) has recently been approved to participate in a National Natural Science Foundation of China (NSFC) Original Exploration Program project titled “Sampling and Reconstruction Methods for Ultra-Large-Scale Graph Sparse Signals in Early Screening of Pandemic Infections.”
The project is led by Zhejiang University, with WUST serving as the sole collaborating institution. Researchers from WUST will undertake two key tasks:
• Reconstruction Optimization and Performance Analysis of Ultra-Large-Scale Graph Sparse Signals, led by Professor Sheng Yuxia;
• Observation Matrix Design and Experimental Design for Ultra-Large-Scale Graph Sparse Signal Reconstruction, led by Professor Xiong Dan.
The NSFC’s Original Exploration Program aims to guide and encourage researchers to engage in pioneering basic research, venture into uncharted academic territory, solve scientific challenges, and explore new research directions—ultimately promoting high-quality development in China's fundamental research landscape. The program prioritizes groundbreaking, forward-looking, and paradigm-shifting research, supporting genuine innovation from “0 to 1”.
The Institute of Artificial Intelligence and Information Fusion is a key research platform at WUST that aligns with national AI development strategies. It focuses on cutting-edge fields such as graph signal processing and learning, embodied collaborative control, unmanned system swarms, and distributed optimization theory and applications. The institute has developed a distinctive research profile and gained considerable influence within China.
With strong support from the university, college, and related departments, the institute achieved a number of innovative results in 2025, including the publication/acception of 12 papers in top international journals in control, smart grids, and industrial informatics—among them, one in IEEE Transactions on Automatic Control, one in Automatica, three in IEEE Transactions on Smart Grid, and two in IEEE Transactions on Industrial Informatics. The institute also secured two NSFC General Program grants, and postdoctoral researcher Dr. Lei Zike was selected for the Ministry of Education’s Outstanding Overseas Postdoctoral Program and Hubei Provincial “Hundred Talents” initiative.