Abstract: We propose a meta-learned dynamic distillation framework for automated hyperparameter optimization in machine learning systems, which adaptively adjusts knowledge transfer intensity between teacher and student models during training. Traditional distillation methods rely on static intensity schedules or manual tuning, often leading to suboptimal performance when faced with dataset shifts or model uncertainty. The proposed method addresses this limitation by formulating distillation intensity as a learnable hyperparameter, optimized in real-time through a bilevel optimization scheme. Our... [Read More]

Abstract: Based on vehicle classification standards, the construction of autonomous driving modes requires collecting relevant information, including parameters related to vehicle types. Subsequently, this mode can automatically classify vehicles (i.e., vehicle type identification), serving as the foundation for autonomous driving while providing data support for subsequent manual inspections and statistical analysis. The system achieves self-identification of vehicle categories through applications of image processing, image interpretation, and pattern recognition. The main research focuses are on... [Read More]

Abstract: Against the backdrop of digital transformation in higher education, engineering education faces critical challenges including the theory-practice divide and high barriers to technical tool adoption. This study develops a tripartite framework ("functional deconstruction-process modeling-data governance") for educational agent systems, which is built upon the Coze platform and rigorously aligned with the standards of China's Emerging Engineering Education (3E) initiative—for deployment in metaverse learning environments. By implementing multimodal interaction and adaptive decision-making... [Read More]

Abstract: The essence of physics lies in a synthesis of childlike curiosity and meticulous rigor, used to comprehend the universe. Consequently, the mission of physics education is not merely the transmission of formulas but the cultivation of an exploratory spirit and critical thinking. This paper presents a critical examination of the current state of university-level physics education in mainland China. A profound disconnect is observed between the intrinsic beauty of the discipline and the prevalent pedagogical methods, which often reduce physics to a tool for examinations. Students are... [Read More]