Zobrazeno 1 - 10
of 29 433
pro vyhledávání: '"Yang LEI"'
Autor:
Yang, Lei
We construct a geometric realization of representations for $\text{PSL}(2, \mathbb{F}_p)$ by the defining ideals of rational models $\mathcal{L}(X(p))$ of modular curves $X(p)$ over $\mathbb{Q}$. Hence, for the irreducible representations of $\text{P
Externí odkaz:
http://arxiv.org/abs/2409.02589
Graph representation learning has shown superior performance in numerous real-world applications, such as finance and social networks. Nevertheless, most existing works might make discriminatory predictions due to insufficient attention to fairness i
Externí odkaz:
http://arxiv.org/abs/2409.01367
Autor:
Sun, Haoran, Jin, Renren, Xu, Shaoyang, Pan, Leiyu, Supryadi, Cui, Menglong, Du, Jiangcun, Lei, Yikun, Yang, Lei, Shi, Ling, Xiao, Juesi, Zhu, Shaolin, Xiong, Deyi
Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource languages. To mitigate this challenge, we present FuxiTranyu, an open-sou
Externí odkaz:
http://arxiv.org/abs/2408.06273
Autor:
Dong, Xinshu, Litos, Orfeas Stefanos Thyfronitis, Tas, Ertem Nusret, Tse, David, Woll, Robin Linus, Yang, Lei, Yu, Mingchao
Proof-of-stake (PoS) blockchains require validators to lock their tokens as collateral, slashing these tokens if they are identified as protocol violators. PoS chains have mostly been secured by their native tokens. However, using only the native tok
Externí odkaz:
http://arxiv.org/abs/2408.01896
Audio-driven 3D facial animation aims to map input audio to realistic facial motion. Despite significant progress, limitations arise from inconsistent 3D annotations, restricting previous models to training on specific annotations and thereby constra
Externí odkaz:
http://arxiv.org/abs/2408.00762
This paper presents a novel approach for the differentiable rendering of convex polyhedra, addressing the limitations of recent methods that rely on implicit field supervision. Our technique introduces a strategy that combines non-differentiable comp
Externí odkaz:
http://arxiv.org/abs/2407.15686
Ultrasound computed tomography (USCT) is a promising technique that achieves superior medical imaging reconstruction resolution by fully leveraging waveform information, outperforming conventional ultrasound methods. Despite its advantages, high-qual
Externí odkaz:
http://arxiv.org/abs/2407.14564
Autor:
Sheng, Yi, Yang, Junhuan, Li, Jinyang, Alaina, James, Xu, Xiaowei, Shi, Yiyu, Hu, Jingtong, Jiang, Weiwen, Yang, Lei
As Artificial Intelligence (AI) increasingly integrates into our daily lives, fairness has emerged as a critical concern, particularly in medical AI, where datasets often reflect inherent biases due to social factors like the underrepresentation of m
Externí odkaz:
http://arxiv.org/abs/2407.13896
Autor:
Chen, Guanqi, Yang, Lei, Jia, Ruixing, Hu, Zhe, Chen, Yizhou, Zhang, Wei, Wang, Wenping, Pan, Jia
Enabling robotic agents to perform complex long-horizon tasks has been a long-standing goal in robotics and artificial intelligence (AI). Despite the potential shown by large language models (LLMs), their planning capabilities remain limited to short
Externí odkaz:
http://arxiv.org/abs/2407.09792
Different classes of safe reinforcement learning algorithms have shown satisfactory performance in various types of safety requirement scenarios. However, the existing methods mainly address one or several classes of specific safety requirement scena
Externí odkaz:
http://arxiv.org/abs/2407.05580