Zobrazeno 1 - 10
of 34 273
pro vyhledávání: '"ZHANG, YI P."'
We present an experimental study on the drag reduction by polymers in Taylor-Couette turbulence at Reynolds numbers ($Re$) ranging from $4\times 10^3$ to $2.5\times 10^4$. In this $Re$ regime, the Taylor vortex is present and accounts for more than 5
Externí odkaz:
http://arxiv.org/abs/2412.04080
Agent faults pose a significant threat to the performance of multi-agent reinforcement learning (MARL) algorithms, introducing two key challenges. First, agents often struggle to extract critical information from the chaotic state space created by un
Externí odkaz:
http://arxiv.org/abs/2412.00534
The hot circumgalactic medium in the eROSITA All-Sky Survey III. Star-forming and quiescent galaxies
Autor:
Zhang, Yi, Comparat, Johan, Ponti, Gabriele, Merloni, Andrea, Nandra, Kirpal, Haberl, Frank, Truong, Nhut, Pillepich, Annalisa, Popesso, Paola, Locatelli, Nicola, Zhang, Xiaoyuan, Sanders, Jeremy, Zheng, Xueying, Liu, Ang, Liu, Teng, Predehl, Peter, Salvato, Mara, Bruggen, Marcus, Shreeram, Soumya, Yeung, Michael C. H.
The circumgalactic medium (CGM), as the gas repository for star formation, might contain the answer to the mysterious galaxy quenching and bimodal galaxy population origin. We measured the X-ray emission of the hot CGM around star-forming and quiesce
Externí odkaz:
http://arxiv.org/abs/2411.19945
Autor:
Tan, Xianfeng, Li, Yuhan, Shang, Wenxiang, Wu, Yubo, Wang, Jian, Chen, Xuanhong, Zhang, Yi, Lin, Ran, Ni, Bingbing
Standard clothing asset generation involves creating forward-facing flat-lay garment images displayed on a clear background by extracting clothing information from diverse real-world contexts, which presents significant challenges due to highly stand
Externí odkaz:
http://arxiv.org/abs/2411.19528
In this paper, we investigate the helicity form factors (HFFs) of the $B_{(s)}$-meson decay into a scalar meson with a mass larger than 1~GeV, {\it i.e.,} $B \to a_0(1450)$, $B_{(s)} \to K_0^*(1430)$ and $B_{s} \to f_0(1500)$ by using light-cone sum
Externí odkaz:
http://arxiv.org/abs/2411.17228
Click-through rate (CTR) prediction plays a critical role in recommender systems and web searches. While many existing methods utilize ensemble learning to improve model performance, they typically limit the ensemble to two or three sub-networks, wit
Externí odkaz:
http://arxiv.org/abs/2411.16122
Autor:
Fu, Chaoyou, Zhang, Yi-Fan, Yin, Shukang, Li, Bo, Fang, Xinyu, Zhao, Sirui, Duan, Haodong, Sun, Xing, Liu, Ziwei, Wang, Liang, Shan, Caifeng, He, Ran
As a prominent direction of Artificial General Intelligence (AGI), Multimodal Large Language Models (MLLMs) have garnered increased attention from both industry and academia. Building upon pre-trained LLMs, this family of models further develops mult
Externí odkaz:
http://arxiv.org/abs/2411.15296
Autor:
Su, Jinghong, Zhang, Yi-bao, Wang, Cheng, Yi, Lei, Xu, Fan, Fan, Yaning, Wang, Junwu, Sun, Chao
The presence of dispersed-phase droplets can result in a notable increase in the system's drag. However, our understanding of the mechanism underlying this phenomenon remains limited. In this study, we use three-dimensional direct numerical simulatio
Externí odkaz:
http://arxiv.org/abs/2411.13115
Survival prediction is a critical task in pathology. In clinical practice, pathologists often examine multiple cases, leveraging a broader spectrum of cancer phenotypes to enhance pathological assessment. Despite significant advancements in deep lear
Externí odkaz:
http://arxiv.org/abs/2411.11487
We study the tail asymptotics of the sum of two heavy-tailed random variables. The dependence structure is modeled by copulas with the so-called tail order property. Examples are presented to illustrate the approach. Further for each example we apply
Externí odkaz:
http://arxiv.org/abs/2411.09657