Zobrazeno 1 - 10
of 25 337
pro vyhledávání: '"ZHENG, Yu"'
Autor:
Gui, Ke, Zhang, Xutao, Che, Huizheng, Li, Lei, Zheng, Yu, An, Linchang, Miao, Yucong, Zhao, Hujia, Dubovik, Oleg, Holben, Brent, Wang, Jun, Gupta, Pawan, Lind, Elena S., Toledano, Carlos, Wang, Hong, Wang, Zhili, Wang, Yaqiang, Huang, Xiaomeng, Dai, Kan, Xia, Xiangao, Xu, Xiaofeng, Zhang, Xiaoye
Aerosol forecasting is essential for air quality warnings, health risk assessment, and climate change mitigation. However, it is more complex than weather forecasting due to the intricate interactions between aerosol physicochemical processes and atm
Externí odkaz:
http://arxiv.org/abs/2412.02498
Autor:
Liu, Qingxiang, Sun, Sheng, Liang, Yuxuan, Xu, Xiaolong, Liu, Min, Bilal, Muhammad, Wang, Yuwei, Li, Xujing, Zheng, Yu
Multiple federated learning (FL) methods are proposed for traffic flow forecasting (TFF) to avoid heavy-transmission and privacy-leaking concerns resulting from the disclosure of raw data in centralized methods. However, these FL methods adopt offlin
Externí odkaz:
http://arxiv.org/abs/2411.14046
The $tW\bar{b}$ production contributes to the real corrections to the $tW$ cross section. It would interfere with the top quark pair production, causing difficulties in a clear definition of the $tW{\bar b}$ events. The subtraction of the $t\bar{t}$
Externí odkaz:
http://arxiv.org/abs/2411.07455
Skins wrapping around our bodies, leathers covering over the sofa, sheet metal coating the car - it suggests that objects are enclosed by a series of continuous surfaces, which provides us with informative geometry prior for objectness deduction. In
Externí odkaz:
http://arxiv.org/abs/2410.01404
In this paper, we propose a One-Point-One NeRF (OPONeRF) framework for robust scene rendering. Existing NeRFs are designed based on a key assumption that the target scene remains unchanged between the training and test time. However, small but unpred
Externí odkaz:
http://arxiv.org/abs/2409.20043
For statistical inference on clustering, the mixture model-based framework is very popular. On the one hand, the model-based framework is convenient for producing probabilistic estimates of cluster assignments and uncertainty. On the other hand, the
Externí odkaz:
http://arxiv.org/abs/2409.19129
The pairing mechanism in an antiferromagnetic (AFM) bosonic $t$-$J$ model is investigated via large-scale density matrix renormalization group calculations. In contrast to the competing orders in the fermionic $t$-$J$ model, we discover that a pair d
Externí odkaz:
http://arxiv.org/abs/2409.15424
This article explores human-like movement from a fresh perspective on motion planning. We analyze the coordinated and compliant movement mechanisms of the human body from the perspective of biomechanics. Based on these mechanisms, we propose an optim
Externí odkaz:
http://arxiv.org/abs/2409.10747
We prove the Michael-Simon-Sobolev inequality for smooth symmetric uniformly positive definite (0, 2)-tensor fields on compact submanifolds with or without boundary in Riemannian manifolds with nonnegative sectional curvature by the Alexandrov-Bakelm
Externí odkaz:
http://arxiv.org/abs/2409.08011
Differential privacy (DP) provides a provable framework for protecting individuals by customizing a random mechanism over a privacy-sensitive dataset. Deep learning models have demonstrated privacy risks in model exposure as an established learning m
Externí odkaz:
http://arxiv.org/abs/2409.03344