Zobrazeno 11 - 20
of 25 801
pro vyhledávání: '"Zhang, Xi"'
Autor:
Chen, Chao, Guo, Chenghua, Xu, Rui, Liao, Xiangwen, Zhang, Xi, Xie, Sihong, Xiong, Hui, Yu, Philip
Graphical models, including Graph Neural Networks (GNNs) and Probabilistic Graphical Models (PGMs), have demonstrated their exceptional capabilities across numerous fields. These models necessitate effective uncertainty quantification to ensure relia
Externí odkaz:
http://arxiv.org/abs/2404.14642
Autor:
Liu, Qiye, Su, Wenjie, Gu, Yue, Zhang, Xi, Xia, Xiuquan, Wang, Le, Xiao, Ke, Cui, Xiaodong, Zou, Xiaolong, Xi, Bin, Mei, Jia-Wei, Dai, Jun-Feng
Interlayer magnetic interactions play a pivotal role in determining the magnetic arrangement within van der Waals (vdW) magnets, and the remarkable tunability of these interactions through applied pressure further enhances their significance. Here, w
Externí odkaz:
http://arxiv.org/abs/2404.09569
Autor:
Powell, Diana, Zhang, Xi
We present a new two-dimensional, bin-scheme microphysical model of cloud formation in the atmospheres of hot Jupiters that includes the effects of longitudinal gas and cloud transport. We predict cloud particle size distributions as a function of pl
Externí odkaz:
http://arxiv.org/abs/2404.08759
Autor:
Davydov, Konstantin, Zhang, Xi, Ren, Wei, Coles, Matthew, Kline, Logan, Zucker, Bryan, Watanabe, Kenji, Taniguchi, Takashi, Wang, Ke
The valley degree of freedom in 2D materials can be manipulated for low-dissipation quantum electronics called valleytronics. At the boundary between two regions of bilayer graphene with different atomic or electrostatic configuration, valley-polariz
Externí odkaz:
http://arxiv.org/abs/2404.01027
Autor:
Ren, Wei, Zhang, Xi, Zhu, Ziyan, Khan, Moosa, Watanabe, Kenji, Taniguchi, Takashi, Kaxiras, Efthimios, Luskin, Mitchell, Wang, Ke
Electron collimation via a graphene pn-junction allows electrostatic control of ballistic electron trajectories akin to that of an optical circuit. Similar manipulation of novel correlated electronic phases in twisted-bilayer graphene (tBLG) can prov
Externí odkaz:
http://arxiv.org/abs/2404.00519
Existing benchmarks for fake news detection have significantly contributed to the advancement of models in assessing the authenticity of news content. However, these benchmarks typically focus solely on news pertaining to a single semantic topic or o
Externí odkaz:
http://arxiv.org/abs/2404.01336
Autor:
Su, Tongkun, Li, Jun, Zhang, Xi, Jin, Haibo, Chen, Hao, Wang, Qiong, Lv, Faqin, Zhao, Baoliang, Hu, Yin
Multimodal pre-training demonstrates its potential in the medical domain, which learns medical visual representations from paired medical reports. However, many pre-training tasks require extra annotations from clinicians, and most of them fail to ex
Externí odkaz:
http://arxiv.org/abs/2404.00226
Autor:
Li, Jiao, Liu, Chao, Luo, Changqing, Zhang, Bo, Li, Jiang-Dan, Li, Jia-Dong, Han, Zhan-Wen, Chen, Xue-Fei, Wang, Lu-Qian, Fang, Min, Xing, Li-Feng, Zhang, Xi-Liang, Jin, Chichuan
Hierarchical massive quadruple systems are ideal laboratories for examining the theories of star formation, dynamical evolution, and stellar evolution. The successive mergers of hierarchical quadruple systems might explain the mass gap between neutro
Externí odkaz:
http://arxiv.org/abs/2403.12771
Graphs are ubiquitous in social networks and biochemistry, where Graph Neural Networks (GNN) are the state-of-the-art models for prediction. Graphs can be evolving and it is vital to formally model and understand how a trained GNN responds to graph e
Externí odkaz:
http://arxiv.org/abs/2403.06425
Autor:
Park, Daesung, Park, Changwon, Ko, Eunjung, Yananose, Kunihiro, Engelke, Rebecca, Zhang, Xi, Davydov, Konstantin, Green, Matthew, Park, Sang Hwa, Lee, Jae Heon, Watanabe, Kenji, Taniguchi, Takashi, Yang, Sang Mo, Wang, Ke, Kim, Philip, Son, Young-Woo, Yoo, Hyobin
Imposing incommensurable periodicity on the periodic atomic lattice can lead to complex structural phases consisting of locally periodic structure bounded by topological defects. Twisted trilayer graphene (TTG) is an ideal material platform to study
Externí odkaz:
http://arxiv.org/abs/2402.15760