Students from HUTB’s "Hong Class" Secure Approval for 5 Projects under Hunan Provincial Natural Science Foundation Youth Student Basic Research
2025-05-20
Recently, the 2025 Hunan Provincial Natural Science Foundation announced its approved Youth Student Basic Research Projects, with five awarded to our university—all led by student researchers from the "Hong Class" of the School of Artificial Intelligence and Advanced Computing (Xiangjiang Academy). The approved projects span cutting-edge research domains including transfer learning for affective computing, intelligent wafer defect detection, deepfake identification, ESG behavior optimization, and low-altitude dynamic target recognition—demonstrating our university’s excellence in foundational research innovation and elite talent cultivation, while showcasing the "Hong Class" students’ strategic alignment with national strategic priorities and frontier scientific challenges.
The Hunan Provincial Natural Science Foundation’s Youth Student Basic Research Program is designed to support original research by promising young scholars. The rigorous eight-month selection process—initiated last September—included multiple stages: nomination, formal review, on-site expert evaluation, final deliberation, and public announcement before finalizing the approved projects. Amidst fierce provincial competition this year, students from our university’s "Hong Class" distinguished themselves through exceptional research foundations, rigorous academic training, and groundbreaking innovative approaches—securing one of the highest numbers of approved projects among provincial institutions.
All five approved projects were developed under the auspices of Xiangjiang Laboratory, guided throughout by the "Hong Class" mentor team within its pioneering "Digital Intelligence+" interdisciplinary training framework. In recent years, under the forward-looking leadership of the CPC HUTB Committee, our university has steadfastly implemented an innovative educational philosophy integrating "new engineering courses + new business courses + new medical sciences courses + new liberal arts courses" with foundational sciences. Through the distinctive "Xiangjiang Academy • Hong Class" training mechanism, we have deeply converged national-level research projects, academic competitions, and curriculum instruction—establishing a pioneering talent development ecosystem driven by "innovation propulsion + project-based mastery + curricular-competitive integration." Student researchers have achieved accelerated growth through hands-on participation in scientific projects, demonstrating exceptional progress in theoretical application, technological breakthroughs, and collaborative teamwork, with remarkable outcomes consistently emerging.
Since 2023, the university has selected outstanding students for its "Hong Class" program, focusing on artificial intelligence and big data. Driven by the goal of cultivating innovative, top-tier talent, the program integrates rigorous engineering and academic training into its core curriculum. During the proposal development phase, mentors and students collaborated intensively for over 60 days—refining research themes, methodologies, and technical frameworks through dozens of iterations before perfecting their submissions—ultimately achieving groundbreaking success in the provincial grant review.
This project approval not only showcases the concentrated research capabilities of our university's young scholars but also vividly embodies its educational philosophy of "advancing teaching through research, and fostering mutual growth between pedagogy and investigation." Moving forward, the university will further advance its "AI+" talent development model reform, cultivating exceptional innovators to contribute to Hunan’s "Three Highlands, Four New Missions" vision and support China’s pursuit of high-level self-reliance and self-improvement in science and technology.
(Reported by School of Artificial Intelligence and Advanced Computing)
