Zobrazeno 1 - 10
of 8 934
pro vyhledávání: '"SUN Liang"'
Time series analysis is widely used in many fields such as power energy, economics, and transportation, including different tasks such as forecasting, anomaly detection, classification, etc. Missing values are widely observed in these tasks, and ofte
Externí odkaz:
http://arxiv.org/abs/2410.06652
In the field of weather forecasting, traditional models often grapple with discretization errors and time-dependent source discrepancies, which limit their predictive performance. In this paper, we present WeatherODE, a novel one-stage, physics-drive
Externí odkaz:
http://arxiv.org/abs/2410.06560
Time series forecasting has played a significant role in many practical fields. But time series data generated from real-world applications always exhibits high variance and lots of noise, which makes it difficult to capture the inherent periodic pat
Externí odkaz:
http://arxiv.org/abs/2410.05726
Autor:
Qin, Dalin, Li, Yehui, Chen, Weiqi, Zhu, Zhaoyang, Wen, Qingsong, Sun, Liang, Pinson, Pierre, Wang, Yi
Complex distribution shifts are the main obstacle to achieving accurate long-term time series forecasting. Several efforts have been conducted to capture the distribution characteristics and propose adaptive normalization techniques to alleviate the
Externí odkaz:
http://arxiv.org/abs/2409.19718
Autor:
Yang, Liqun, Yang, Jian, Wei, Chaoren, Niu, Guanglin, Zhang, Ge, Wang, Yunli, ChaI, Linzheng, Xia, Wanxu, Guo, Hongcheng, Zhang, Shun, Liu, Jiaheng, Yin, Yuwei, Peng, Junran, Ma, Jiaxin, Sun, Liang, Li, Zhoujun
Fuzzing is an important dynamic program analysis technique designed for finding vulnerabilities in complex software. Fuzzing involves presenting a target program with crafted malicious input to cause crashes, buffer overflows, memory errors, and exce
Externí odkaz:
http://arxiv.org/abs/2409.01944
Autor:
Sun, Liang, Chen, Mohan
The recently proposed machine learning-based physically-constrained nonlocal (MPN) kinetic energy density functional (KEDF) can be used for simple metals and their alloys [Phys. Rev. B 109, 115135 (2024)]. However, the MPN KEDF does not perform well
Externí odkaz:
http://arxiv.org/abs/2408.15062
Autor:
Chen, Bo, Feng, Li, Zhang, Guang, Li, Hui, He, Lingping, Song, Kefei, Guo, Quanfeng, Li, Ying, Huang, Yu, Li, Jingwei, Zhao, Jie, Xue, Jianchao, Li, Gen, Shi, Guanglu, Song, Dechao, Lu, Lei, Ying, Beili, Wang, Haifeng, Dai, Shuang, Wang, Xiaodong, Mao, Shilei, Wang, Peng, Wu, Kun, Ren, Shuai, Sun, Liang, Yang, Xianwei, Xia, Mingyi, Zhang, Xiaoxue, Zhou, Peng, Tao, Chen, Liu, Yang, Yu, Sibo, Li, Xinkai, Li, Shuting, Zhang, Ping, Li, Qiao, Tian, Zhengyuan, Zhou, Yue, Tian, Jun, Shan, Jiahui, Liu, Xiaofeng, Jing, Zhichen, Gan, Weiqun
The Lyman-alpha Solar Telescope (LST) on board the Advanced Space-based Solar Observatory (ASO-S) is the first payload to image the full solar disk and the solar corona in both white-light (WL) and ultraviolet (UV) H I Lya, extending up to 2.5 solar
Externí odkaz:
http://arxiv.org/abs/2408.01937
Weather disaster related emergency operations pose a great challenge to air mobility in both aircraft and airport operations, especially when the impact is gradually approaching. We propose an optimized framework for adjusting airport operational sch
Externí odkaz:
http://arxiv.org/abs/2408.00790
In causal inference, estimating heterogeneous treatment effects (HTE) is critical for identifying how different subgroups respond to interventions, with broad applications in fields such as precision medicine and personalized advertising. Although HT
Externí odkaz:
http://arxiv.org/abs/2407.01004
Few-shot semantic segmentation (FSS) endeavors to segment unseen classes with only a few labeled samples. Current FSS methods are commonly built on the assumption that their training and application scenarios share similar domains, and their performa
Externí odkaz:
http://arxiv.org/abs/2406.08372