Zobrazeno 1 - 10
of 24 391
pro vyhledávání: '"Liu Yue"'
Autor:
Li, Fengxin, Li, Yi, Liu, Yue, Zhou, Chao, Wang, Yuan, Deng, Xiaoxiang, Xue, Wei, Liu, Dapeng, Xiao, Lei, Gu, Haijie, Jiang, Jie, Liu, Hongyan, Qin, Biao, He, Jun
Display advertising provides significant value to advertisers, publishers, and users. Traditional display advertising systems utilize a multi-stage architecture consisting of retrieval, coarse ranking, and final ranking. However, conventional retriev
Externí odkaz:
http://arxiv.org/abs/2411.13789
Topological quantum computation relies on control of non-Abelian anyons for inherently fault-tolerant storage and processing of quantum information. By now, blueprints for topological qubits are well developed for electrically active topological supe
Externí odkaz:
http://arxiv.org/abs/2411.08093
Group Recommendation (GR), which aims to recommend items to groups of users, has become a promising and practical direction for recommendation systems. This paper points out two issues of the state-of-the-art GR models. (1) The pre-defined and fixed
Externí odkaz:
http://arxiv.org/abs/2410.23757
In the current context of accelerated globalization and digitalization, the complexity and uncertainty of financial markets are increasing, and the identification and prevention of economic risks have become a key link in maintaining the stability of
Externí odkaz:
http://arxiv.org/abs/2411.11848
This paper explores the applications and challenges of graph neural networks (GNNs) in processing complex graph data brought about by the rapid development of the Internet. Given the heterogeneity and redundancy problems that graph data often have, t
Externí odkaz:
http://arxiv.org/abs/2410.17617
Autor:
Liu, Sizhe, Xia, Jun, Zhang, Lecheng, Liu, Yuchen, Liu, Yue, Du, Wenjie, Gao, Zhangyang, Hu, Bozhen, Tan, Cheng, Xiang, Hongxin, Li, Stan Z.
Molecular relational learning (MRL) is crucial for understanding the interaction behaviors between molecular pairs, a critical aspect of drug discovery and development. However, the large feasible model space of MRL poses significant challenges to be
Externí odkaz:
http://arxiv.org/abs/2410.15010
This article targets at unlocking the potentials of a class of prominent generative artificial intelligence (GAI) method, namely diffusion model (DM), for mobile communications. First, a DM-driven communication architecture is proposed, which introdu
Externí odkaz:
http://arxiv.org/abs/2410.06389
This paper proposes a simple yet effective jailbreak attack named FlipAttack against black-box LLMs. First, from the autoregressive nature, we reveal that LLMs tend to understand the text from left to right and find that they struggle to comprehend t
Externí odkaz:
http://arxiv.org/abs/2410.02832
Autor:
Wu, Yunkun, Wang, Shu, Lei, Xinrui, Mao, Jiahui, Lu, Liu, Liu, Yue, Qu, Guangyuan, Guo, Guangcan, Zhan, Qiwen, Ren, Xifeng
Topologically protected quasiparticles in optics have received increasing research attention recently, as they provide novel degree of freedom to manipulate light-matter interactions and exhibiting excellent potential in nanometrology and ultrafast v
Externí odkaz:
http://arxiv.org/abs/2409.07894
Autor:
Perera, Harsha, Lee, Sung Une, Liu, Yue, Xia, Boming, Lu, Qinghua, Zhu, Liming, Cairns, Jessica, Nottage, Moana
As Artificial Intelligence (AI) becomes integral to business operations, integrating Responsible AI (RAI) within Environmental, Social, and Governance (ESG) frameworks is essential for ethical and sustainable AI deployment. This study examines how le
Externí odkaz:
http://arxiv.org/abs/2409.10520