Zobrazeno 1 - 10
of 40 788
pro vyhledávání: '"Li,Rui"'
Autor:
Zhang, Zeyu, Lian, Jianxun, Ma, Chen, Qu, Yaning, Luo, Ye, Wang, Lei, Li, Rui, Chen, Xu, Lin, Yankai, Wu, Le, Xie, Xing, Wen, Ji-Rong
Trending topics have become a significant part of modern social media, attracting users to participate in discussions of breaking events. However, they also bring in a new channel for poisoning attacks, resulting in negative impacts on society. There
Externí odkaz:
http://arxiv.org/abs/2412.12196
Autor:
Li, Jiaxu, Lai, Songning, Li, Rui, Fang, Di, Fan, Kejia, Tang, Jianheng, Zhao, Yuhan, Zhao, Rongchang, Zhou, Dongzhan, Yue, Yutao, Zhuang, Huiping
While deep learning has made remarkable progress in recent years, models continue to struggle with catastrophic forgetting when processing continuously incoming data. This issue is particularly critical in continual learning, where the balance betwee
Externí odkaz:
http://arxiv.org/abs/2412.10834
Autor:
Zhang, Yanan, Su, Dajun, Shan, Zhaoyang, Shi, Yunshu, Li, Rui, Wu, Jinyu, Yang, Zihan, Ye, Kaixin, Zhang, Fei, Li, Yanchun, Li, Xiaodong, Cao, Chao, Taufour, Valentin, Jiao, Lin, Smidman, Michael, Yuan, Huiqiu
Publikováno v:
SCIENCE CHINA Physics, Mechanics & Astronomy 68, 227011 (2025)
LaNiGa2 is a time-reversal symmetry breaking superconductor with symmetry protected band crossings, making it an ideal platform for investigating the interplay between unconventional superconductivity and electronic structure topology. Here we presen
Externí odkaz:
http://arxiv.org/abs/2412.10818
Deep supervised hashing has become a pivotal technique in large-scale image retrieval, offering significant benefits in terms of storage and search efficiency. However, existing deep supervised hashing models predominantly focus on generating fixed-l
Externí odkaz:
http://arxiv.org/abs/2412.08922
To decarbonise the electricity sector and achieve renewable energy targets, a rapidly growing number of wind farms have been authorised, constructed, and commissioned in the UK and EU in recent years. For instance, the UK Government aims to expand of
Externí odkaz:
http://arxiv.org/abs/2412.06638
Preconditioning techniques are crucial for enhancing the efficiency of solving large-scale linear equation systems that arise from partial differential equation (PDE) discretization. These techniques, such as Incomplete Cholesky factorization (IC) an
Externí odkaz:
http://arxiv.org/abs/2412.07127
Autor:
Li, Rui, Wang, Anyao
A graph $G$ is said to have the Hereditarily Bounded Property $P_{t,r}$ if, for each subgraph $H$ of $G$ containing at least $t$ vertices, the size of $H$ satisfies $|E(H)| \leq t \cdot |V(H)| + r$. In 1996, Guiduli proposed the following problem: If
Externí odkaz:
http://arxiv.org/abs/2412.06375
Query-driven learned estimators are accurate, flexible, and lightweight alternatives to traditional estimators in query optimization. However, existing query-driven approaches struggle with the Out-of-distribution (OOD) problem, where the test worklo
Externí odkaz:
http://arxiv.org/abs/2412.05864
Autor:
Baumann, Anton, Li, Rui, Klasson, Marcus, Mentu, Santeri, Karthik, Shyamgopal, Akata, Zeynep, Solin, Arno, Trapp, Martin
Vision-language models (VLMs), such as CLIP and SigLIP, have found remarkable success in classification, retrieval, and generative tasks. For this, VLMs deterministically map images and text descriptions to a joint latent space in which their similar
Externí odkaz:
http://arxiv.org/abs/2412.06014
We studied flow organization and heat transfer properties in mixed turbulent convection within Poiseuille-Rayleigh-B\'enard channels subjected to temporally modulated sinusoidal wall temperatures. Three-dimensional direct numerical simulations were p
Externí odkaz:
http://arxiv.org/abs/2412.05550