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pro vyhledávání: '"Yang, Sen."'
With the rapid advancement of Multimodal Large Language Models (MLLMs), a variety of benchmarks have been introduced to evaluate their capabilities. While most evaluations have focused on complex tasks such as scientific comprehension and visual reas
Externí odkaz:
http://arxiv.org/abs/2412.16418
Autor:
Yang, Sen, Li, Xiaofeng
The GEO satellite maintains good synchronization with the ground, reducing the priority of acquisition time in the establishment of the optical link. Whereas energy is an important resource for the satellite to execute space missions, the consumption
Externí odkaz:
http://arxiv.org/abs/2412.14589
Autor:
Yang, Sen, Li, Xiaofeng
Piezoelectric fast steering mirrors (PFSM) are widely utilized in beam precision-pointing systems but encounter considerable challenges in achieving high-precision tracking of fast trajectories due to nonlinear hysteresis and mechanical dual-axis cro
Externí odkaz:
http://arxiv.org/abs/2412.14511
Autor:
Yang, Sen, Li, Xiaofeng
We establish a high-precision composite model for a piezoelectric fast steering mirror (PFSM) using a Hammerstein structure. A novel asymmetric Bouc-Wen model is proposed to describe the nonlinear rate-independent hysteresis, while a dynamic model is
Externí odkaz:
http://arxiv.org/abs/2412.08332
In this paper, we focus on the gravitational waves emitted by a stellar-mass object in a quasi-circular inspiral orbit around a central supermassive polymerized black hole in loop quantum gravity. Treating the stellar-mass object as a massive test pa
Externí odkaz:
http://arxiv.org/abs/2412.04302
Autor:
Liang, Yuci, Lyu, Xinheng, Ding, Meidan, Chen, Wenting, Zhang, Jipeng, Ren, Yuexiang, He, Xiangjian, Wu, Song, Yang, Sen, Wang, Xiyue, Xing, Xiaohan, Shen, Linlin
Recent advancements in computational pathology have produced patch-level Multi-modal Large Language Models (MLLMs), but these models are limited by their inability to analyze whole slide images (WSIs) comprehensively and their tendency to bypass cruc
Externí odkaz:
http://arxiv.org/abs/2412.02141
Autor:
Yang, Sen, Jiang, Minyue, Fan, Ziwei, Xie, Xiaolu, Tan, Xiao, Li, Yingying, Ding, Errui, Wang, Liang, Wang, Jingdong
Recent advances in autonomous driving systems have shifted towards reducing reliance on high-definition maps (HDMaps) due to the huge costs of annotation and maintenance. Instead, researchers are focusing on online vectorized HDMap construction using
Externí odkaz:
http://arxiv.org/abs/2411.14751
Autor:
Qiu, Liang, Chi, Wenhao, Xing, Xiaohan, Rajendran, Praveenbalaji, Li, Mingjie, Jiang, Yuming, Pastor-Serrano, Oscar, Yang, Sen, Wang, Xiyue, Ji, Yuanfeng, Wen, Qiang
Precision therapy for liver cancer necessitates accurately delineating liver sub-regions to protect healthy tissue while targeting tumors, which is essential for reducing recurrence and improving survival rates. However, the segmentation of hepatic s
Externí odkaz:
http://arxiv.org/abs/2411.02815
The large models, as predicted by scaling raw forecasts, have made groundbreaking progress in many fields, particularly in natural language generation tasks, where they have approached or even surpassed human levels. However, the unprecedented scale
Externí odkaz:
http://arxiv.org/abs/2410.19878
Automated Market Makers (AMMs) are essential to decentralized finance, offering continuous liquidity and enabling intermediary-free trading on blockchains. However, participants in AMMs are vulnerable to Maximal Extractable Value (MEV) exploitation.
Externí odkaz:
http://arxiv.org/abs/2410.18434