Zobrazeno 1 - 10
of 314 905
pro vyhledávání: '"Cong A"'
Autor:
Cong An, Yongxin Yan, Xiaoshuai Gao, Xiaoyu Yan, Yuanyuan Ji, Fanyi Shang, Jidong Li, Luyao Tan, Rui Gao, Fang Bi, Hong Li
Publikováno v:
Atmosphere, Vol 15, Iss 4, p 475 (2024)
In recent years, nocturnal ozone enhancement (NOE) events have emerged as a prominent research focus in the field of the atmospheric environment. By using statistical analysis methods, we conducted a comparative investigation of nocturnal ozone conce
Externí odkaz:
https://doaj.org/article/bf718d9b3e9e41a3a018ebd2a084efc6
Open-set object detection (OSOD) is highly desirable for robotic manipulation in unstructured environments. However, existing OSOD methods often fail to meet the requirements of robotic applications due to their high computational burden and complex
Externí odkaz:
http://arxiv.org/abs/2412.14680
Autor:
Yuanyuan Ji, Cong An, Jinghao Tang, Jialin Li, Xiaoyu Yan, Xiaoshuai Gao, Wanghui Chu, Xuelian Zhong, Fanyi Shang, Jidong Li, Luyao Tan, Rui Gao, Fang Bi, Hong Li
Publikováno v:
Atmosphere, Vol 15, Iss 1, p 73 (2024)
In order to investigate the causes of complex air pollution in coastal cities in the Bohai Rim of China, a one-month intensive field observation combined with model simulation was carried out in a typical city named Dongying in September 2022. The re
Externí odkaz:
https://doaj.org/article/7e8f67046a434820ae1d40e6177319e5
Legal articles often include vague concepts to adapt to the ever-changing society. Providing detailed interpretations of these concepts is a critical task for legal practitioners, which requires meticulous and professional annotations by legal expert
Externí odkaz:
http://arxiv.org/abs/2501.01743
Autor:
Cong, Wenyan, Wang, Kevin, Lei, Jiahui, Stearns, Colton, Cai, Yuanhao, Wang, Dilin, Ranjan, Rakesh, Feiszli, Matt, Guibas, Leonidas, Wang, Zhangyang, Wang, Weiyao, Fan, Zhiwen
Efficiently reconstructing accurate 3D models from monocular video is a key challenge in computer vision, critical for advancing applications in virtual reality, robotics, and scene understanding. Existing approaches typically require pre-computed ca
Externí odkaz:
http://arxiv.org/abs/2501.01949
Reconstructing Hyperspectral Images (HSI) from RGB images can yield high spatial resolution HSI at a lower cost, demonstrating significant application potential. This paper reveals that local correlation and global continuity of the spectral characte
Externí odkaz:
http://arxiv.org/abs/2501.01481
Autor:
Lin, Zheng, Zhang, Yuxin, Chen, Zhe, Fang, Zihan, Wu, Cong, Chen, Xianhao, Gao, Yue, Luo, Jun
Recently, the increasing deployment of LEO satellite systems has enabled various space analytics (e.g., crop and climate monitoring), which heavily relies on the advancements in deep learning (DL). However, the intermittent connectivity between LEO s
Externí odkaz:
http://arxiv.org/abs/2501.01293
In social online platforms, identifying influential seed users to maximize influence spread is a crucial as it can greatly diminish the cost and efforts required for information dissemination. While effective, traditional methods for Multiplex Influe
Externí odkaz:
http://arxiv.org/abs/2501.00779
Autor:
Li, Mengran, Ding, Chaojun, Chen, Junzhou, Xing, Wenbin, Ye, Cong, Zhang, Ronghui, Zhuang, Songlin, Hu, Jia, Qiu, Tony Z., Gao, Huijun
Missing attribute issues are prevalent in the graph learning, leading to biased outcomes in Graph Neural Networks (GNNs). Existing methods that rely on feature propagation are prone to cold start problem, particularly when dealing with attribute rese
Externí odkaz:
http://arxiv.org/abs/2501.00743
Autor:
Gu, Yan, Liu, Zhaoze, Dai, Shuhong, Liu, Cong, Wang, Ying, Wang, Shen, Theodoropoulos, Georgios, Cheng, Long
Cloud computing has revolutionized the provisioning of computing resources, offering scalable, flexible, and on-demand services to meet the diverse requirements of modern applications. At the heart of efficient cloud operations are job scheduling and
Externí odkaz:
http://arxiv.org/abs/2501.01007