Zobrazeno 1 - 10
of 3 739
pro vyhledávání: '"Chen, XiaoLong"'
Autor:
Li, Yidian, Du, Xian, Wang, Junjie, Xu, Runzhe, Zhao, Wenxuan, Zhai, Kaiyi, Liu, Jieyi, Chen, Houke, Yang, Yiheng, Plumb, Nicolas C., Ju, Sailong, Shi, Ming, Liu, Zhongkai, Guo, Jiangang, Chen, Xiaolong, Chen, Yulin, Yang, Lexian
Publikováno v:
Nano Lett. 24, 9832-9838 (2024)
The surface of three-dimensional materials provides an ideal and versatile platform to explore quantum-confined physics. Here, we systematically investigate the electronic structure of Na-intercalated CrTe2, a van der Waals antiferromagnet, using ang
Externí odkaz:
http://arxiv.org/abs/2410.14196
Autor:
Li, Qi, Jiao, Rui, Wu, Liming, Zhu, Tiannian, Huang, Wenbing, Jin, Shifeng, Liu, Yang, Weng, Hongming, Chen, Xiaolong
Accurate crystal structure determination is critical across all scientific disciplines involving crystalline materials. However, solving and refining inorganic crystal structures from powder X-ray diffraction (PXRD) data is traditionally a labor-inte
Externí odkaz:
http://arxiv.org/abs/2409.04727
Autor:
Wang, Xingmei, Liu, Weiwen, Chen, Xiaolong, Liu, Qi, Huang, Xu, Wang, Yichao, Li, Xiangyang, Wang, Yasheng, Dong, Zhenhua, Lian, Defu, Tang, Ruiming
Click-Through Rate (CTR) prediction holds a paramount position in recommender systems. The prevailing ID-based paradigm underperforms in cold-start scenarios due to the skewed distribution of feature frequency. Additionally, the utilization of a sing
Externí odkaz:
http://arxiv.org/abs/2405.10596
Heavy flavour production in proton-proton (pp) collisions provides insights into the fundamental properties of Quantum Chromodynamics (QCD). Beauty hadron production measurements are widely performed through indirect approaches based on their inclusi
Externí odkaz:
http://arxiv.org/abs/2405.01444
Autor:
Liu, Yang, Liu, Pengyu, Wen, Yingyi, Liang, Zihan, Liu, Songwei, Song, Lekai, Pei, Jingfang, Fan, Xiaoyue, Ma, Teng, Wang, Gang, Gao, Shuo, Pun, Kong-Pang, Chen, Xiaolong, Hu, Guohua
True random numbers are essential in various research and engineering problems. Their generation depends upon a robust physical entropy noise. Here, we present true random number generation by harnessing the conductance noise probed in structurally m
Externí odkaz:
http://arxiv.org/abs/2404.16271
Autor:
Song, Boqin, Xie, Yuyang, Li, Wei-Jian, Liu, Hui, Zhang, Qinghua, Guo, Jian-gang, Zhao, Lin, Yu, Shun-Li, Zhou, Xingjiang, Chen, Xiaolong, Ying, Tianping
The Kondo lattice, describing a grid of the local magnetic moments coupling to itinerant electrons, is a fertile ground of strongly correlated states in condensed matter physics. While the Kagome lattice has long been predicted to host Kondo physics
Externí odkaz:
http://arxiv.org/abs/2404.12374
Autor:
Huang, Xu, Liu, Weiwen, Chen, Xiaolong, Wang, Xingmei, Lian, Defu, Wang, Yasheng, Tang, Ruiming, Chen, Enhong
Recently, large language models (LLMs) have demonstrated remarkable potential as an intelligent agent. However, existing researches mainly focus on enhancing the agent's reasoning or decision-making abilities through well-designed prompt engineering
Externí odkaz:
http://arxiv.org/abs/2404.07456
Recently, some works have tried to combine diffusion and Generative Adversarial Networks (GANs) to alleviate the computational cost of the iterative denoising inference in Diffusion Models (DMs). However, existing works in this line suffer from eithe
Externí odkaz:
http://arxiv.org/abs/2403.12931
Link recommendation systems in online social networks (OSNs), such as Facebook's ``People You May Know'', Twitter's ``Who to Follow'', and Instagram's ``Suggested Accounts'', facilitate the formation of new connections among users. This paper address
Externí odkaz:
http://arxiv.org/abs/2402.19189
Autor:
Huang, Xu, Liu, Weiwen, Chen, Xiaolong, Wang, Xingmei, Wang, Hao, Lian, Defu, Wang, Yasheng, Tang, Ruiming, Chen, Enhong
As Large Language Models (LLMs) have shown significant intelligence, the progress to leverage LLMs as planning modules of autonomous agents has attracted more attention. This survey provides the first systematic view of LLM-based agents planning, cov
Externí odkaz:
http://arxiv.org/abs/2402.02716