Zobrazeno 1 - 10
of 8 132
pro vyhledávání: '"FU, Xiao"'
In frequency division duplex (FDD) massive MIMO systems, a major challenge lies in acquiring the downlink channel state information}\ (CSI) at the base station (BS) from limited feedback sent by the user equipment (UE). To tackle this fundamental tas
Externí odkaz:
http://arxiv.org/abs/2411.16043
Autor:
Shrestha, Sagar, Fu, Xiao
Understanding identifiability of latent content and style variables from unaligned multi-domain data is essential for tasks such as domain translation and data generation. Existing works on content-style identification were often developed under some
Externí odkaz:
http://arxiv.org/abs/2411.03755
Autor:
Yang, Qifan, Xu, Jing, Fu, Xiao, Lian, Jingchen, Wang, Liqi, Gong, Xuhe, Wang, Zibin, Xiao, Ruijuan, Li, Hong
In solid-state batteries (SSBs), improving the physical contact at the electrode-electrolyte interface is essential for achieving better performance and durability. On the one hand, it is necessary to look for solid-state electrolytes (SSEs) with hig
Externí odkaz:
http://arxiv.org/abs/2410.15350
A core task in multi-modal learning is to integrate information from multiple feature spaces (e.g., text and audio), offering modality-invariant essential representations of data. Recent research showed that, classical tools such as {\it canonical co
Externí odkaz:
http://arxiv.org/abs/2409.19422
We propose conformal polynomial coordinates for 2D closed high-order cages, which consist of polynomial curves of any order. The coordinates enable the transformation of the input polynomial curves into polynomial curves of any order. We extend the c
Externí odkaz:
http://arxiv.org/abs/2408.06831
This work proposes a variational inference (VI) framework for hyperspectral unmixing in the presence of endmember variability (HU-EV). An EV-accounted noisy linear mixture model (LMM) is considered, and the presence of outliers is also incorporated i
Externí odkaz:
http://arxiv.org/abs/2407.14899
One of the primary catalysts fueling advances in artificial intelligence (AI) and machine learning (ML) is the availability of massive, curated datasets. A commonly used technique to curate such massive datasets is crowdsourcing, where data are dispa
Externí odkaz:
http://arxiv.org/abs/2407.06902
We propose a novel method to construct large-scale boundary-identical microstructure datasets with high attribute coverage for highly efficient multiscale design. Central to our technique is using a deep generative model to generate microstructures u
Externí odkaz:
http://arxiv.org/abs/2406.16066
One of the key materials in solid-state lithium batteries is fast ion conductors. However, the Li+ ion transport in inorganic crystals involves complex factors, making it a mystery to find and design ion conductors with low migration barriers. In thi
Externí odkaz:
http://arxiv.org/abs/2406.02852
We present an approach for predictive braking of a four-wheeled vehicle on a nonplanar road. Our main contribution is a methodology to consider friction and road contact safety on general smooth road geometry. We use this to develop an active safety
Externí odkaz:
http://arxiv.org/abs/2406.01724