Zobrazeno 1 - 10
of 261
pro vyhledávání: '"Zhu, Zhengyuan"'
Autor:
Zhu, Zhengyuan, Lee, Daniel, Zhang, Hong, Harsha, Sai Sree, Feujio, Loic, Maharaj, Akash, Li, Yunyao
Recent advancements in retrieval-augmented generation (RAG) have demonstrated impressive performance in the question-answering (QA) task. However, most previous works predominantly focus on text-based answers. While some studies address multimodal da
Externí odkaz:
http://arxiv.org/abs/2408.08521
Autor:
Shahid, Mukaram, Das, Kunal, Islam, Taimoor Ul, Somiah, Christ, Qiao, Daji, Ahmad, Arsalan, Song, Jimming, Zhu, Zhengyuan, Babu, Sarath, Guan, Yong, Chakraborty, Tusher, Jog, Suraj, Chandra, Ranveer, Zhang, Hongwei
Due to factors such as low population density and expansive geographical distances, network deployment falls behind in rural regions, leading to a broadband divide. Wireless spectrum serves as the blood and flesh of wireless communications. Shared wh
Externí odkaz:
http://arxiv.org/abs/2407.04561
Identifying spatial heterogeneous patterns has attracted a surge of research interest in recent years, due to its important applications in various scientific and engineering fields. In practice the spatially heterogeneous components are often mixed
Externí odkaz:
http://arxiv.org/abs/2404.11579
Federated learning (FL) has received a surge of interest in recent years thanks to its benefits in data privacy protection, efficient communication, and parallel data processing. Also, with appropriate algorithmic designs, one could achieve the desir
Externí odkaz:
http://arxiv.org/abs/2208.08490
A split questionnaire design (SQD), an alternative to full questionnaires, can reduce the response burden and improve survey quality. One can design a split questionnaire to reduce the information loss from missing data induced by the split questionn
Externí odkaz:
http://arxiv.org/abs/2203.04883
Autor:
Xu, Wenru, Zhou, Yuyu, Taubenböck, Hannes, Stokes, Eleanor C., Zhu, Zhengyuan, Lai, Feilin, Li, Xuecao, Zhao, Xia
Publikováno v:
In Science of the Total Environment 1 September 2024 941
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
Decentralized nonconvex optimization has received increasing attention in recent years in machine learning due to its advantages in system robustness, data privacy, and implementation simplicity. However, three fundamental challenges in designing dec
Externí odkaz:
http://arxiv.org/abs/2105.01231
Data from NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite is essential to many carbon management strategies. A retrieval algorithm is used to estimate CO2 concentration using the radiance data measured by OCO-2. However, due to factors such as
Externí odkaz:
http://arxiv.org/abs/2101.09418
A Vector Auto-Regressive (VAR) model is commonly used to model multivariate time series, and there are many penalized methods to handle high dimensionality. However in terms of spatio-temporal data, most methods do not take the spatial and temporal s
Externí odkaz:
http://arxiv.org/abs/2012.10030
We consider the estimation of densities in multiple subpopulations, where the available sample size in each subpopulation greatly varies. This problem occurs in epidemiology, for example, where different diseases may share similar pathogenic mechanis
Externí odkaz:
http://arxiv.org/abs/2012.10009