Zobrazeno 1 - 10
of 968
pro vyhledávání: '"XU Xiaoliang"'
Publikováno v:
电力工程技术, Vol 42, Iss 4, Pp 50-60 (2023)
Aiming at the power fluctuation problem for the randomness of the time-space transfer of electric vehicles (EV), taking into account the gender difference of car owners, different real-time travel purpose and two-way travel of car owners, the charge-
Externí odkaz:
https://doaj.org/article/8d239a6bc60349b18e3481ecbbb06fbe
Autor:
Geng, Yuxia, Zhu, Runkai, Chen, Jiaoyan, Chen, Jintai, Chen, Zhuo, Chen, Xiang, Xu, Can, Wang, Yuxiang, Xu, Xiaoliang
Disentanglement of visual features of primitives (i.e., attributes and objects) has shown exceptional results in Compositional Zero-shot Learning (CZSL). However, due to the feature divergence of an attribute (resp. object) when combined with differe
Externí odkaz:
http://arxiv.org/abs/2408.09786
Retrieval-augmented Large Language Models (LLMs) have reshaped traditional query-answering systems, offering unparalleled user experiences. However, existing retrieval techniques often struggle to handle multi-modal query contexts. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2407.04217
Publikováno v:
E3S Web of Conferences, Vol 375, p 03026 (2023)
Power load is an important part of power system, and power load forecasting has an important impact on power system analysis, design and control. With the development of smart micro grid, load forecasting has gradually become an important module in t
Externí odkaz:
https://doaj.org/article/fd0724201f7140f6a8370ac32e208b97
Autor:
Wang, Yuxiang, Ye, Shuzhan, Xu, Xiaoliang, Geng, Yuxia, Zhao, Zhenghe, Ke, Xiangyu, Wu, Tianxing
Given an attributed graph $G$ and a query node $q$, \underline{C}ommunity \underline{S}earch over \underline{A}ttributed \underline{G}raphs (CS-AG) aims to find a structure- and attribute-cohesive subgraph from $G$ that contains $q$. Although CS-AG h
Externí odkaz:
http://arxiv.org/abs/2402.17242
Autor:
Wang, Mengzhao, Xu, Weizhi, Yi, Xiaomeng, Wu, Songlin, Peng, Zhangyang, Ke, Xiangyu, Gao, Yunjun, Xu, Xiaoliang, Guo, Rentong, Xie, Charles
High-dimensional vector similarity search (HVSS) is gaining prominence as a powerful tool for various data science and AI applications. As vector data scales up, in-memory indexes pose a significant challenge due to the substantial increase in main m
Externí odkaz:
http://arxiv.org/abs/2401.02116
Autor:
Wang, Mengzhao, Ke, Xiangyu, Xu, Xiaoliang, Chen, Lu, Gao, Yunjun, Huang, Pinpin, Zhu, Runkai
We investigate the problem of multimodal search of target modality, where the task involves enhancing a query in a specific target modality by integrating information from auxiliary modalities. The goal is to retrieve relevant objects whose contents
Externí odkaz:
http://arxiv.org/abs/2312.06397
Autor:
Geng, Yuxia, Chen, Jiaoyan, Zeng, Yuhang, Chen, Zhuo, Zhang, Wen, Pan, Jeff Z., Wang, Yuxiang, Xu, Xiaoliang
Both graph structures and textual information play a critical role in Knowledge Graph Completion (KGC). With the success of Pre-trained Language Models (PLMs) such as BERT, they have been applied for text encoding for KGC. However, the current method
Externí odkaz:
http://arxiv.org/abs/2312.01837
Autor:
Ni, Jiongkang, Xu, Xiaoliang, Wang, Yuxiang, Li, Can, Yao, Jiajie, Xiao, Shihai, Zhang, Xuecang
Given a vector dataset $\mathcal{X}$ and a query vector $\vec{x}_q$, graph-based Approximate Nearest Neighbor Search (ANNS) aims to build a graph index $G$ and approximately return vectors with minimum distances to $\vec{x}_q$ by searching over $G$.
Externí odkaz:
http://arxiv.org/abs/2310.00402
Impacts on Regional Growth and "Resource Curse" of China's Energy Consumption "Dual Control" Policy.
Autor:
Xu, Xiaoliang1 (AUTHOR) 12014045@njust.edu.cn
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 21, p5345. 18p.