Zobrazeno 1 - 10
of 1 074
pro vyhledávání: '"Zhao Zihan"'
In high energy physics, self-supervised learning (SSL) methods have the potential to aid in the creation of machine learning models without the need for labeled datasets for a variety of tasks, including those related to jets -- narrow sprays of part
Externí odkaz:
http://arxiv.org/abs/2412.05333
Autor:
Zhang, Zhongchi, Zhao, Zihan, Wang, Huaichuan, Deng, Ken, Liu, Yuqi, Chen, Wenlan, Hu, Jiazhong
We generated a one-dimensional quantum gas confined in an elongated optical dipole trap instead of 2D optical lattices. The sample, comprising thousands of atoms, spans several hundred micrometers and allows for independent control of temperature and
Externí odkaz:
http://arxiv.org/abs/2411.13088
Autor:
Wang, Pingjie, Zhao, Zihan, Zhao, Liudan, He, Miao, Sun, Xin, Zhang, Ya, Sun, Kun, Wang, Yanfeng, Wang, Yu
Auscultation of internal body sounds is essential for diagnosing a range of health conditions, yet its effectiveness is often limited by clinicians' expertise and the acoustic constraints of human hearing, restricting its use across various clinical
Externí odkaz:
http://arxiv.org/abs/2411.07547
Continual learning (CL) is crucial for language models to dynamically adapt to the evolving real-world demands. To mitigate the catastrophic forgetting problem in CL, data replay has been proven a simple and effective strategy, and the subsequent dat
Externí odkaz:
http://arxiv.org/abs/2411.06171
Publikováno v:
Hangkong gongcheng jinzhan, Vol 12, Iss 4, Pp 80-89 (2021)
The effect of thermal load in the creep feed grinding have important effect on the surface quality for machining the tenon teeth of turbine blade.In this paper,the effects of grinding parameters on grinding forces and temperature in grinding DD5 sing
Externí odkaz:
https://doaj.org/article/d42735fc0cf04bd89940496b1bcf8a86
We study the spatially incoherent light generated by a multimode fiber(MMF) in the application of image projection designed for the ultracold-atom experiments. Inspired by previous half-analytic methods concerning the incoherent light, here a full-nu
Externí odkaz:
http://arxiv.org/abs/2410.14192
Autor:
Sun, Liangtai, Luo, Danyu, Ma, Da, Zhao, Zihan, Chen, Baocai, Shen, Zhennan, Zhu, Su, Chen, Lu, Chen, Xin, Yu, Kai
Recently, there has been a significant upsurge of interest in leveraging large language models (LLMs) to assist scientific discovery. However, most LLMs only focus on general science, while they lack domain-specific knowledge, such as chemical molecu
Externí odkaz:
http://arxiv.org/abs/2409.18412
Autor:
Zhao, Zihan, Chen, Bo, Li, Jingpiao, Chen, Lu, Wen, Liyang, Wang, Pengyu, Zhu, Zichen, Zhang, Danyang, Wan, Ziping, Li, Yansi, Dai, Zhongyang, Chen, Xin, Yu, Kai
Rapid developments of AI tools are expected to offer unprecedented assistance to the research of natural science including chemistry. However, neither existing unimodal task-specific specialist models nor emerging general large multimodal models (LMM
Externí odkaz:
http://arxiv.org/abs/2409.13194
This study introduces an innovative approach to analyzing unlabeled data in high-energy physics (HEP) through the application of self-supervised learning (SSL). Faced with the increasing computational cost of producing high-quality labeled simulation
Externí odkaz:
http://arxiv.org/abs/2408.09343
Autor:
Zhao, Zihan, Wang, Pingjie, Zhao, Liudan, Yang, Yuchen, Zhang, Ya, Sun, Kun, Sun, Xin, Zhou, Xin, Wang, Yu, Wang, Yanfeng
Heart sound auscultation holds significant importance in the diagnosis of congenital heart disease. However, existing methods for Heart Sound Diagnosis (HSD) tasks are predominantly limited to a few fixed categories, framing the HSD task as a rigid c
Externí odkaz:
http://arxiv.org/abs/2408.08669