Zobrazeno 1 - 10
of 5 958
pro vyhledávání: '"Xia, Fan"'
Autor:
Tang, Yuan-Han, Zhang, Xiaoran, Liu, Kang-Yuan, Xia, Fan, Zheng, Huijie, Liu, Xiaobing, Pan, Xin-Yu, Fan, Heng, Liu, Gang-Qin
As a point defect with unique spin and optical properties, nitrogen-vacancy (NV) center in diamond has attracted much attention in the fields of quantum sensing, quantum simulation, and quantum networks. The optical properties of an NV center are cru
Externí odkaz:
http://arxiv.org/abs/2409.17442
Autor:
Yue, Xinli, Sun, Jianhui, Kong, Han, Yao, Liangchao, Wang, Tianyi, Li, Lei, Rao, Fengyun, Lv, Jing, Xia, Fan, Deng, Yuetang, Wang, Qian, Zhao, Lingchen
In recent years, AI generative models have made remarkable progress across various domains, including text generation, image generation, and video generation. However, assessing the quality of text-to-video generation is still in its infancy, and exi
Externí odkaz:
http://arxiv.org/abs/2409.14888
Autor:
Yue, Xinli, Sun, Jianhui, Yao, Liangchao, Xia, Fan, Deng, Yuetang, Wang, Tianyi, Li, Lei, Rao, Fengyun, Lv, Jing, Wang, Qian, Zhao, Lingchen
The increasing popularity of short video platforms such as YouTube Shorts, TikTok, and Kwai has led to a surge in User-Generated Content (UGC), which presents significant challenges for the generalization performance of Video Quality Assessment (VQA)
Externí odkaz:
http://arxiv.org/abs/2409.14847
Autor:
Dong, Qianyun, Chen, Zhengwei, Li, Rongpeng, Yang, Zongyu, Gao, Feng, Chen, Yihang, Xia, Fan, Zhong, Wulyu, Zhao, Zhifeng
In the field of magnetic confinement plasma control, the accurate feedback of plasma position and shape primarily relies on calculations derived from magnetic measurements through equilibrium reconstruction or matrix mapping method. However, under ha
Externí odkaz:
http://arxiv.org/abs/2407.14232
Causal discovery methods aim to determine the causal direction between variables using observational data. Functional causal discovery methods, such as those based on the Linear Non-Gaussian Acyclic Model (LiNGAM), rely on structural and distribution
Externí odkaz:
http://arxiv.org/abs/2406.07787
During the operation of tokamak devices, addressing the thermal load issues caused by Edge Localized Modes (ELMs) eruption is crucial. Ideally, mitigation and suppression measures for ELMs should be promptly initiated as soon as the first low-to-high
Externí odkaz:
http://arxiv.org/abs/2405.10676
Machine learning (ML) algorithms can often differ in performance across domains. Understanding $\textit{why}$ their performance differs is crucial for determining what types of interventions (e.g., algorithmic or operational) are most effective at cl
Externí odkaz:
http://arxiv.org/abs/2402.14254
In fairness audits, a standard objective is to detect whether a given algorithm performs substantially differently between subgroups. Properly powering the statistical analysis of such audits is crucial for obtaining informative fairness assessments,
Externí odkaz:
http://arxiv.org/abs/2312.04745
Autor:
Feng, Jean, Subbaswamy, Adarsh, Gossmann, Alexej, Singh, Harvineet, Sahiner, Berkman, Kim, Mi-Ok, Pennello, Gene, Petrick, Nicholas, Pirracchio, Romain, Xia, Fan
After a machine learning (ML)-based system is deployed, monitoring its performance is important to ensure the safety and effectiveness of the algorithm over time. When an ML algorithm interacts with its environment, the algorithm can affect the data-
Externí odkaz:
http://arxiv.org/abs/2311.11463
Autor:
Li, Dichucheng, Ma, Yinghao, Wei, Weixing, Kong, Qiuqiang, Wu, Yulun, Che, Mingjin, Xia, Fan, Benetos, Emmanouil, Li, Wei
Instrument playing techniques (IPTs) constitute a pivotal component of musical expression. However, the development of automatic IPT detection methods suffers from limited labeled data and inherent class imbalance issues. In this paper, we propose to
Externí odkaz:
http://arxiv.org/abs/2310.09853