Zobrazeno 1 - 10
of 1 284
pro vyhledávání: '"Xu, Yifei"'
Autor:
Suresh, Tarun, Reddy, Revanth Gangi, Xu, Yifei, Nussbaum, Zach, Mulyar, Andriy, Duderstadt, Brandon, Ji, Heng
Effective code retrieval plays a crucial role in advancing code generation, bug fixing, and software maintenance, particularly as software systems increase in complexity. While current code embedding models have demonstrated promise in retrieving cod
Externí odkaz:
http://arxiv.org/abs/2412.01007
In the AIOps (Artificial Intelligence for IT Operations) era, accurately forecasting system states is crucial. In microservices systems, this task encounters the challenge of dynamic and complex spatio-temporal relationships among microservice instan
Externí odkaz:
http://arxiv.org/abs/2408.07894
Autor:
Reddy, Revanth Gangi, Doo, JaeHyeok, Xu, Yifei, Sultan, Md Arafat, Swain, Deevya, Sil, Avirup, Ji, Heng
Large Language Models (LLMs) have significantly advanced the field of information retrieval, particularly for reranking. Listwise LLM rerankers have showcased superior performance and generalizability compared to existing supervised approaches. Howev
Externí odkaz:
http://arxiv.org/abs/2406.15657
Publikováno v:
EPJC, 84, 444 (2024)
In this work, we studied four types of cosmological models with different mechanisms driving the accelerated expansion of the universe, include Braneworld models, Chaplygin Gas models, Emergent Dark Energy models, and cosmological torsion models. Con
Externí odkaz:
http://arxiv.org/abs/2404.10794
Infrared Small Target Detection (IRSTD) aims to segment small targets from infrared clutter background. Existing methods mainly focus on discriminative approaches, i.e., a pixel-level front-background binary segmentation. Since infrared small targets
Externí odkaz:
http://arxiv.org/abs/2403.08380
Autor:
Gong, Xiaolong, Xu, Yifei, Liu, Tonghua, Cao, Shuo, Jiang, Jianyong, Nan, Yalong, Ding, Ruobin
Publikováno v:
Physics Letters B, 853, 138699 (2024)
In this letter, we propose an improved cosmological model-independent method to measure cosmic curvature, combining the recent measurements of transverse and line-of-sight directions in the baryon acoustic oscillations (BAO) with cosmic chronometers
Externí odkaz:
http://arxiv.org/abs/2401.10503
Infrared Small Target Detection is a challenging task to separate small targets from infrared clutter background. Recently, deep learning paradigms have achieved promising results. However, these data-driven methods need plenty of manual annotation.
Externí odkaz:
http://arxiv.org/abs/2310.12562
Infrared small target detection is a technique for finding small targets from infrared clutter background. Due to the dearth of high-level semantic information, small infrared target features are weakened in the deep layers of the CNN, which underach
Externí odkaz:
http://arxiv.org/abs/2309.13646
Autor:
Jiang, Zhuoran, Wang, Siqi, Xu, Yifei, Sun, Leshan, Gonzalez, Gilberto, Chen, Yong, Wu, Q. Jackie, Xiang, Liangzhong, Ren, Lei
Radiation-induced acoustic (RA) imaging is a promising technique for visualizing radiation energy deposition in tissues, enabling new imaging modalities and real-time therapy monitoring. However, it requires measuring hundreds or even thousands of av
Externí odkaz:
http://arxiv.org/abs/2304.13868
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 9, Pp 12-24 (2024)
【Objective】 Cotton production in Xinjiang relies on irrigation. However, in regions with shallow saline groundwater, managing irrigation to avoid soil salinity is crucial to sustaining cotton growth. The purpose of this paper is to elucidate the
Externí odkaz:
https://doaj.org/article/9308c4a1548c481bb4d483160d183b89
