3 papers indexed
Haocheng Yin, Shuohan Tao, Yongsheng Chen, Lu Gan
Predicting how deformable objects evolve under robotic manipulation is a longstanding challenge. Existing approaches typically rely on per-object optimization to fit material parameters, which can be slow and cannot generalize, while end-to-end learned alternatives extrapolate po…
Weiyi Zhao, Xiaoyu Tan, Lu Gan, Liang Liu, Xihe Qiu
Multimodal Large Models have significantly advanced automated breast ultrasound diagnosis. However, most existing frameworks utilize opaque, end-to-end paradigms prioritizing global statistical correlations over structured clinical reasoning. Consequently, these models remain sus…
Jiayu Ru, Jiahui Li, Lu Gan, Gulinaer Yusufu
The goal of this scientific study is to clarify whether and how digital–intelligent integration contributes to urban carbon efficiency and to identify the conditions under which this contribution becomes nonlinear and policy-relevant. Focusing on 39 prefecture-level cities in the…