Zobrazeno 1 - 10
of 33 898
pro vyhledávání: '"Panpan, An"'
Yttrium and its alloys are promising materials for high-tech applications, particularly in aerospace and nuclear reactors. The doping of metallic elements at grain boundaries can significantly influence the stability, strength, and mechanical propert
Externí odkaz:
http://arxiv.org/abs/2411.12340
This paper presents a Carleman-Fourier linearization method for nonlinear dynamical systems with periodic vector fields involving multiple fundamental frequencies. By employing Fourier basis functions, the nonlinear dynamical system is transformed in
Externí odkaz:
http://arxiv.org/abs/2411.11598
Vision-Language Models (VLMs) have demonstrated impressive performance across a versatile set of tasks. A key challenge in accelerating VLMs is storing and accessing the large Key-Value (KV) cache that encodes long visual contexts, such as images or
Externí odkaz:
http://arxiv.org/abs/2410.23317
Autor:
Yang, Shangshang, Chen, Mingyang, Wang, Ziwen, Yu, Xiaoshan, Zhang, Panpan, Ma, Haiping, Zhang, Xingyi
Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, but their student, exercise, and concept representations are learned and exchanged in an implicit unified graph, which makes the interaction-agnostic ex
Externí odkaz:
http://arxiv.org/abs/2410.17564
The pursuit-evasion problem is widespread in nature, engineering and societal applications. It is commonly observed in nature that a predator runs faster than its prey but it has less agile maneuverability. Over millions of years of evolution, animal
Externí odkaz:
http://arxiv.org/abs/2410.16829
Resistive random-access memory (ReRAM) is an emerging non-volatile memory technology for high-density and high-speed data storage. However, the sneak path interference (SPI) occurred in the ReRAM crossbar array seriously affects its data recovery per
Externí odkaz:
http://arxiv.org/abs/2410.05644
Uncertainties in dynamic road environments pose significant challenges for behavior and trajectory planning in autonomous driving. This paper introduces BoT-Drive, a planning algorithm that addresses uncertainties at both behavior and trajectory leve
Externí odkaz:
http://arxiv.org/abs/2409.18411
Autor:
Yang, Yonglei, Liu, Zihui, Zheng, Fulu, Zhang, Panpan, He, Hongxing, Jha, Ajay, Duan, Hong-Guang
The evolution of photosynthetic reaction centers (RCs) from anoxygenic bacteria to oxygenic cyanobacteria and plants reflects their structural and functional adaptation to environmental conditions. Chirality plays a significant role in influencing th
Externí odkaz:
http://arxiv.org/abs/2409.06996
The advancement of next-generation magnetic devices depends on fast manipulating magnetic microstructures on the nanoscale. A universal method is presented for rapidly and reliably generating, controlling, and driving nano-scale skyrmioniums, through
Externí odkaz:
http://arxiv.org/abs/2409.00683
Masked point modeling methods have recently achieved great success in self-supervised learning for point cloud data. However, these methods are sensitive to rotations and often exhibit sharp performance drops when encountering rotational variations.
Externí odkaz:
http://arxiv.org/abs/2409.00353