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pro vyhledávání: '"Li, Wenqiang"'
Detecting objects of interest through language often presents challenges, particularly with objects that are uncommon or complex to describe, due to perceptual discrepancies between automated models and human annotators. These challenges highlight th
Externí odkaz:
http://arxiv.org/abs/2409.06300
Publikováno v:
The ACM Conference on Computer and Communications Security (CCS) 2024
In modern mobile devices, baseband is an integral component running on top of cellular processors to handle crucial radio communications. However, recent research reveals significant vulnerabilities in these basebands, posing serious security risks l
Externí odkaz:
http://arxiv.org/abs/2409.00475
Autor:
Liu, Jingyi, Li, Yanjie, Yu, Lina, Wu, Min, Li, Weijun, Li, Wenqiang, Hao, Meilan, Deng, Yusong, Wei, Shu
Noise ubiquitously exists in signals due to numerous factors including physical, electronic, and environmental effects. Traditional methods of symbolic regression, such as genetic programming or deep learning models, aim to find the most fitting expr
Externí odkaz:
http://arxiv.org/abs/2406.14844
Formulas are the language of communication between humans and nature. It is an important research topic of artificial intelligence to find expressions from observed data to reflect the relationship between each variable in the data, which is called a
Externí odkaz:
http://arxiv.org/abs/2406.05410
Autor:
Wei, Shu, Li, Yanjie, Yu, Lina, Wu, Min, Li, Weijun, Hao, Meilan, Li, Wenqiang, Liu, Jingyi, Deng, Yusong
Solving partial differential equations (PDEs) in Euclidean space with closed-form symbolic solutions has long been a dream for mathematicians. Inspired by deep learning, Physics-Informed Neural Networks (PINNs) have shown great promise in numerically
Externí odkaz:
http://arxiv.org/abs/2405.14620
Autor:
Li, Yanjie, Li, Weijun, Yu, Lina, Wu, Min, Liu, Jingyi, Li, Wenqiang, Hao, Meilan, Wei, Shu, Deng, Yusong
The mathematical formula is the human language to describe nature and is the essence of scientific research. Finding mathematical formulas from observational data is a major demand of scientific research and a major challenge of artificial intelligen
Externí odkaz:
http://arxiv.org/abs/2404.06330
Autor:
Li, Yanjie, Liu, Jingyi, Li, Weijun, Yu, Lina, Wu, Min, Li, Wenqiang, Hao, Meilan, Wei, Su, Deng, Yusong
Mathematical formulas are the crystallization of human wisdom in exploring the laws of nature for thousands of years. Describing the complex laws of nature with a concise mathematical formula is a constant pursuit of scientists and a great challenge
Externí odkaz:
http://arxiv.org/abs/2402.18603
Symbolic regression aims to derive interpretable symbolic expressions from data in order to better understand and interpret data. %which plays an important role in knowledge discovery and interpretable machine learning. In this study, a symbolic netw
Externí odkaz:
http://arxiv.org/abs/2401.15103
Autor:
Li, Yanjie, Li, Weijun, Yu, Lina, Wu, Min, Liu, Jingyi, Li, Wenqiang, Hao, Meilan, Wei, Shu, Deng, Yusong
Finding a concise and interpretable mathematical formula that accurately describes the relationship between each variable and the predicted value in the data is a crucial task in scientific research, as well as a significant challenge in artificial i
Externí odkaz:
http://arxiv.org/abs/2401.14424
Autor:
Li, Yanjie, Li, Weijun, Yu, Lina, Wu, Min, Liu, Jinyi, Li, Wenqiang, Hao, Meilan, Wei, Shu, Deng, Yusong, Zhang, Liping, Dong, Xiaoli, Qin, Hong, Ning, Xin, Zhang, Yugui, Lu, Baoli, Xu, Jian, Li, Shuang
Multilayer perception (MLP) has permeated various disciplinary domains, ranging from bioinformatics to financial analytics, where their application has become an indispensable facet of contemporary scientific research endeavors. However, MLP has obvi
Externí odkaz:
http://arxiv.org/abs/2401.01772