Zobrazeno 1 - 10
of 6 094
pro vyhledávání: '"LI, WEIHUA"'
AI-based music generation has progressed significantly in recent years. However, creating symbolic music that is both long-structured and expressive remains a considerable challenge. In this paper, we propose PerceiverS (Segmentation and Scale), a no
Externí odkaz:
http://arxiv.org/abs/2411.08307
Autor:
Li, Dongxiao, Sun, Yuxuan, Li, Xingjian, Li, Xingxiang, Zhu, Zhengqing, Sun, Boxi, Nong, Shutong, Wu, Jiyang, Pan, Tingrui, Li, Weihua, Zhang, Shiwu, Li, Mujun
Liquid Crystal Elastomers with near-ambient temperature-responsiveness (NAT-LCEs) have been extensively studied for building bio-compatible, low-power consumption devices and robotics. However, conventional manufacturing methods face limitations in p
Externí odkaz:
http://arxiv.org/abs/2411.06931
Autor:
Chen, Jiao, He, Jiayi, Chen, Fangfang, Lv, Zuohong, Tang, Jianhua, Li, Weihua, Liu, Zuozhu, Yang, Howard H., Han, Guangjie
Industrial AI is transitioning from traditional deep learning models to large-scale transformer-based architectures, with the Industrial Internet of Things (IIoT) playing a pivotal role. IIoT evolves from a simple data pipeline to an intelligent infr
Externí odkaz:
http://arxiv.org/abs/2409.01207
The widespread application of Electronic Health Records (EHR) data in the medical field has led to early successes in disease risk prediction using deep learning methods. These methods typically require extensive data for training due to their large
Externí odkaz:
http://arxiv.org/abs/2404.14815
The Grey Wolf Optimizer (GWO) is recognized as a novel meta-heuristic algorithm inspired by the social leadership hierarchy and hunting mechanism of grey wolves. It is well-known for its simple parameter setting, fast convergence speed, and strong op
Externí odkaz:
http://arxiv.org/abs/2404.06524
While preference-based recommendation algorithms effectively enhance user engagement by recommending personalized content, they often result in the creation of ``filter bubbles''. These bubbles restrict the range of information users interact with, i
Externí odkaz:
http://arxiv.org/abs/2404.04906
Autor:
Wang, Guan, Frederick, Rebecca, Duan, Jinglong, Wong, William, Rupar, Verica, Li, Weihua, Bai, Quan
In this paper, we delve into the rapidly evolving challenge of misinformation detection, with a specific focus on the nuanced manipulation of narrative frames - an under-explored area within the AI community. The potential for Generative AI models to
Externí odkaz:
http://arxiv.org/abs/2402.15525
Autor:
Li, Weihua, Cao, Wei
Let $\mathbb{F}_q$ denote the finite field of characteristic $p$ and order $q$. Let $\mathbb{Z}_q$ denote the unramified extension of the $p$-adic rational integers $\mathbb{Z}_p$ with residue field $\mathbb{F}_q$. Given two positive integers $m,n$,
Externí odkaz:
http://arxiv.org/abs/2310.15637
Echo cancellation and noise reduction are essential for full-duplex communication, yet most existing neural networks have high computational costs and are inflexible in tuning model complexity. In this paper, we introduce time-frequency dual-path com
Externí odkaz:
http://arxiv.org/abs/2308.11053