Zobrazeno 1 - 10
of 47 782
pro vyhledávání: '"Zhang,Wen"'
Autor:
Lei, An-Ke, She, Zhi-Lei, Yan, Yu-Liang, Zhou, Dai-Mei, Zheng, Liang, Zhang, Wen-Chao, Zheng, Hua, Bravina, Larissa V., Zabrodin, Evgeny E., Sa, Ben-Hao
Parton And-hadron China Institute of Atomic Energy (PACIAE) is a multipurpose Monte Carlo event generator developed to describe a wide range of high-energy collisions, including lepton-lepton, lepton-hadron, lepton-nucleus, hadron-hadron, hadron-nucl
Externí odkaz:
http://arxiv.org/abs/2411.14255
To safeguard sensitive user data, web developers typically rely on an implicit access-control policies, which they implement using access checks and query filters. This ad-hoc approach is error-prone, as these scattered checks and filters are easy to
Externí odkaz:
http://arxiv.org/abs/2411.11380
We present a minimalistic representation model for the head direction (HD) system, aiming to learn a high-dimensional representation of head direction that captures essential properties of HD cells. Our model is a representation of rotation group $U(
Externí odkaz:
http://arxiv.org/abs/2411.10596
Query determinacy is decidable for project-select views and a project-select-join query with no self joins, as long as the selection predicates are in a first-order theory for which satisfiability is decidable.
Externí odkaz:
http://arxiv.org/abs/2411.08874
Autor:
Liu, Zhiqiang, Chen, Mingyang, Hua, Yin, Chen, Zhuo, Liu, Ziqi, Liang, Lei, Chen, Huajun, Zhang, Wen
Beyond-triple fact representations including hyper-relational facts with auxiliary key-value pairs, temporal facts with additional timestamps, and nested facts implying relationships between facts, are gaining significant attention. However, existing
Externí odkaz:
http://arxiv.org/abs/2411.07019
This paper studies a distributed estimation problem for time-varying/time-invariant large-scale interconnected systems (LISs). A fully distributed estimator is presented by recursively solving a distributed modified Riccati equation (DMRE) with decou
Externí odkaz:
http://arxiv.org/abs/2411.06380
Autor:
Hu, Junwei, Bewong, Michael, Kwashie, Selasi, Zhang, Wen, Nofong, Vincent M., Wu, Guangsheng, Feng, Zaiwen
Drug-target interaction (DTI) prediction is crucial for drug development and repositioning. Methods using heterogeneous graph neural networks (HGNNs) for DTI prediction have become a promising approach, with attention-based models often achieving exc
Externí odkaz:
http://arxiv.org/abs/2411.00801
Autor:
Guo, Lingbing, Bo, Zhongpu, Chen, Zhuo, Zhang, Yichi, Chen, Jiaoyan, Lan, Yarong, Sun, Mengshu, Zhang, Zhiqiang, Luo, Yangyifei, Li, Qian, Zhang, Qiang, Zhang, Wen, Chen, Huajun
Large language models (LLMs) have significantly advanced performance across a spectrum of natural language processing (NLP) tasks. Yet, their application to knowledge graphs (KGs), which describe facts in the form of triplets and allow minimal halluc
Externí odkaz:
http://arxiv.org/abs/2410.07526
Autor:
Liang, Lei, Sun, Mengshu, Gui, Zhengke, Zhu, Zhongshu, Jiang, Zhouyu, Zhong, Ling, Qu, Yuan, Zhao, Peilong, Bo, Zhongpu, Yang, Jin, Xiong, Huaidong, Yuan, Lin, Xu, Jun, Wang, Zaoyang, Zhang, Zhiqiang, Zhang, Wen, Chen, Huajun, Chen, Wenguang, Zhou, Jun
The recently developed retrieval-augmented generation (RAG) technology has enabled the efficient construction of domain-specific applications. However, it also has limitations, including the gap between vector similarity and the relevance of knowledg
Externí odkaz:
http://arxiv.org/abs/2409.13731
Autor:
Zhang, Peng, Li, Bing, Gui, Ren-zhou, Xiong, Shao-lin, Wang, Yu, Zhang, Yan-qiu, Wang, Chen-wei, Liu, Jia-cong, Xue, Wang-chen, Zheng, Chao, Yu, Zheng-hang, Zhang, Wen-long
The Rapid and accurate identification of Gamma-Ray Bursts (GRBs) is crucial for unraveling their origins. However, current burst search algorithms frequently miss low-threshold signals or lack universality for observations. In this study, we propose
Externí odkaz:
http://arxiv.org/abs/2408.13598