Zobrazeno 1 - 10
of 889
pro vyhledávání: '"Chen, Haotian"'
Autor:
Yang, Xu, Chen, Haotian, Feng, Wenjun, Wang, Haoxue, Ye, Zeqi, Shen, Xinjie, Yang, Xiao, Sun, Shizhao, Liu, Weiqing, Bian, Jiang
Artificial Intelligence (AI) significantly influences many fields, largely thanks to the vast amounts of high-quality data for machine learning models. The emphasis is now on a data-centric AI strategy, prioritizing data development over model design
Externí odkaz:
http://arxiv.org/abs/2407.18690
Kinetic infernal mode (KIM) is an electromagnetic instability driven by thermal ions in weak magnetic shear region with a frequency similar to the kinetic ballooning mode (KBM). Gyrokinetic simulations of KIM using Gyrokinetic Toroidal Code (GTC) fou
Externí odkaz:
http://arxiv.org/abs/2405.10568
Autor:
Chen, Haotian, Shen, Xinjie, Ye, Zeqi, Feng, Wenjun, Wang, Haoxue, Yang, Xiao, Yang, Xu, Liu, Weiqing, Bian, Jiang
The progress of humanity is driven by those successful discoveries accompanied by countless failed experiments. Researchers often seek the potential research directions by reading and then verifying them through experiments. The process imposes a sig
Externí odkaz:
http://arxiv.org/abs/2404.11276
Optimizing deep neural networks is one of the main tasks in successful deep learning. Current state-of-the-art optimizers are adaptive gradient-based optimization methods such as Adam. Recently, there has been an increasing interest in formulating gr
Externí odkaz:
http://arxiv.org/abs/2404.06549
We study the validity of gyrokinetic theory by examining the destruction of magnetic moment adiabatic invariant in the presence of fluctuations. Contrary to common assertions, it is shown for the first time that the gyrokinetic theory rests not only
Externí odkaz:
http://arxiv.org/abs/2310.19305
Test-time adaptation (TTA) aims to adapt a model, initially trained on training data, to test data with potential distribution shifts. Most existing TTA methods focus on classification problems. The pronounced success of classification might lead num
Externí odkaz:
http://arxiv.org/abs/2310.05341
Document-level relation extraction (DocRE) attracts more research interest recently. While models achieve consistent performance gains in DocRE, their underlying decision rules are still understudied: Do they make the right predictions according to r
Externí odkaz:
http://arxiv.org/abs/2306.11386
Federated domain adaptation (FDA) aims to collaboratively transfer knowledge from source clients (domains) to the related but different target client, without communicating the local data of any client. Moreover, the source clients have different dat
Externí odkaz:
http://arxiv.org/abs/2305.10432
Autor:
Hu, Xinxin, Chen, Haotian, Zhang, Junjie, Chen, Hongchang, Liu, Shuxin, Li, Xing, Wang, Yahui, Xue, Xiangyang
Along with the rapid evolution of mobile communication technologies, such as 5G, there has been a drastically increase in telecom fraud, which significantly dissipates individual fortune and social wealth. In recent years, graph mining techniques are
Externí odkaz:
http://arxiv.org/abs/2303.17334
Autor:
Hu, Xinxin, Chen, Haotian, Chen, Hongchang, Liu, Shuxin, Li, Xing, Zhang, Shibo, Wang, Yahui, Xue, Xiangyang
With the rapid development of mobile networks, the people's social contacts have been considerably facilitated. However, the rise of mobile social network fraud upon those networks, has caused a great deal of distress, in case of depleting personal a
Externí odkaz:
http://arxiv.org/abs/2303.17486