Zobrazeno 1 - 10
of 7 495
pro vyhledávání: '"Wei, Shu"'
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
We present a systematic investigation of lepton pair production through photon-photon fusion processes in heavy-ion collisions. It is demonstrated that the dilepton production at a given impact parameter ($b_\perp$) with a fixed transverse momentum i
Externí odkaz:
http://arxiv.org/abs/2406.07634
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:
Zhao, Weichao, Feng, Hao, Liu, Qi, Tang, Jingqun, Wei, Shu, Wu, Binghong, Liao, Lei, Ye, Yongjie, Liu, Hao, Li, Houqiang, Huang, Can
Tables contain factual and quantitative data accompanied by various structures and contents that pose challenges for machine comprehension. Previous methods generally design task-specific architectures and objectives for individual tasks, resulting i
Externí odkaz:
http://arxiv.org/abs/2406.01326
Autor:
Hou, Wei-Shu, Krab, Mohamed
We study the discovery prospects for a charged Higgs boson via the $b g\to c H^- \to c \bar t b$ process at the Large Hadron Collider (LHC). Focusing on the general Two Higgs Doublet Model (G2HDM) that possesses extra Yukawa couplings, the process is
Externí odkaz:
http://arxiv.org/abs/2405.19190
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:
Tang, Jingqun, Liu, Qi, Ye, Yongjie, Lu, Jinghui, Wei, Shu, Lin, Chunhui, Li, Wanqing, Mahmood, Mohamad Fitri Faiz Bin, Feng, Hao, Zhao, Zhen, Wang, Yanjie, Liu, Yuliang, Liu, Hao, Bai, Xiang, Huang, Can
Text-Centric Visual Question Answering (TEC-VQA) in its proper format not only facilitates human-machine interaction in text-centric visual environments but also serves as a de facto gold proxy to evaluate AI models in the domain of text-centric scen
Externí odkaz:
http://arxiv.org/abs/2405.11985
The helicity correlation of two back-to-back hadrons is a powerful tool that makes it possible to probe the longitudinal spin transfer, $G_{1L}$, in unpolarized hadronic collisions. In this work, we investigate the helicity correlation of back-to-bac
Externí odkaz:
http://arxiv.org/abs/2404.19202
Autor:
Tang, Jingqun, Lin, Chunhui, Zhao, Zhen, Wei, Shu, Wu, Binghong, Liu, Qi, Feng, Hao, Li, Yang, Wang, Siqi, Liao, Lei, Shi, Wei, Liu, Yuliang, Liu, Hao, Xie, Yuan, Bai, Xiang, Huang, Can
Text-centric visual question answering (VQA) has made great strides with the development of Multimodal Large Language Models (MLLMs), yet open-source models still fall short of leading models like GPT4V and Gemini, partly due to a lack of extensive,
Externí odkaz:
http://arxiv.org/abs/2404.12803
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