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pro vyhledávání: '"Zhang,Wenlong"'
Over the past decades, we have witnessed a rapid emergence of soft and reconfigurable robots thanks to their capability to interact safely with humans and adapt to complex environments. However, their softness makes accurate control very challenging.
Externí odkaz:
http://arxiv.org/abs/2411.07309
Weather radar data synthesis can fill in data for areas where ground observations are missing. Existing methods often employ reconstruction-based approaches with MSE loss to reconstruct radar data from satellite observation. However, such methods lea
Externí odkaz:
http://arxiv.org/abs/2411.06714
Autor:
Zhao, Xiangyu, Zhou, Zhiwang, Zhang, Wenlong, Liu, Yihao, Chen, Xiangyu, Gong, Junchao, Chen, Hao, Fei, Ben, Chen, Shiqi, Ouyang, Wanli, Wu, Xiao-Ming, Bai, Lei
The Earth's weather system encompasses intricate weather data modalities and diverse weather understanding tasks, which hold significant value to human life. Existing data-driven models focus on single weather understanding tasks (e.g., weather forec
Externí odkaz:
http://arxiv.org/abs/2411.05420
Autor:
Shi, Guangyuan, Lu, Zexin, Dong, Xiaoyu, Zhang, Wenlong, Zhang, Xuanyu, Feng, Yujie, Wu, Xiao-Ming
Aligning large language models (LLMs) through fine-tuning is essential for tailoring them to specific applications. Therefore, understanding what LLMs learn during the alignment process is crucial. Recent studies suggest that alignment primarily adju
Externí odkaz:
http://arxiv.org/abs/2410.17875
In this work, we investigate the inverse problem of recovering a potential in an elliptic problem from random pointwise observations in the domain. We employ a regularized output-least squares formulation with an $H^1(\Omega)$ penalty for the numeric
Externí odkaz:
http://arxiv.org/abs/2410.14106
Autor:
Gong, Junchao, Tu, Siwei, Yang, Weidong, Fei, Ben, Chen, Kun, Zhang, Wenlong, Yang, Xiaokang, Ouyang, Wanli, Bai, Lei
Precipitation nowcasting plays a pivotal role in socioeconomic sectors, especially in severe convective weather warnings. Although notable progress has been achieved by approaches mining the spatiotemporal correlations with deep learning, these metho
Externí odkaz:
http://arxiv.org/abs/2410.05805
Despite the tremendous success of deep models in various individual image restoration tasks, there are at least two major technical challenges preventing these works from being applied to real-world usages: (1) the lack of generalization ability and
Externí odkaz:
http://arxiv.org/abs/2408.15143
The fashion domain encompasses a variety of real-world multimodal tasks, including multimodal retrieval and multimodal generation. The rapid advancements in artificial intelligence generated content, particularly in technologies like large language m
Externí odkaz:
http://arxiv.org/abs/2408.11305
Building a unified model for general low-level vision tasks holds significant research and practical value. Current methods encounter several critical issues. Multi-task restoration approaches can address multiple degradation-to-clean restoration tas
Externí odkaz:
http://arxiv.org/abs/2408.08601
Autor:
Tian, Xiao, Lü, HouJun, Yuan, Yong, Yang, Xing, Yuan, HaoYu, Yi, ShuangXi, Zhang, WenLong, Liang, EnWei
Publikováno v:
The Astronomical Journal, 974:133 (9pp), 2024 October 10
Recently, the detection of a coherent radio flash associated with short-duration GRB 201006A, occurring 76.6 minutes after the burst, has attracted great attention. However, the physical origin of the coherent radio flash remains under debate. By rea
Externí odkaz:
http://arxiv.org/abs/2408.06764