Zobrazeno 1 - 10
of 4 644
pro vyhledávání: '"Lu Kai"'
Efficient management of storage resources in big data and cloud computing environments requires accurate identification of data's "cold" and "hot" states. Traditional methods, such as rule-based algorithms and early AI techniques, often struggle with
Externí odkaz:
http://arxiv.org/abs/2411.14759
We introduce a lightweight LLM-based framework designed to enhance the autonomy and robustness of domestic robots, targeting onboard embodied intelligence. By addressing challenges such as kinematic constraints and dynamic environments, our approach
Externí odkaz:
http://arxiv.org/abs/2409.14506
Autor:
Feng, Hai-Cheng, Li, Sha-Sha, Bai, J. M., Liu, H. T., Lu, Kai-Xing, Pang, Yu-Xuan, Sun, Mouyuan, Wang, Jian-Guo, Zhang, Yang-Wei, Zhou, Shuying
We present the results of a four-year velocity-resolved reverberation mapping (RM) campaign of the changing-look active galactic nucleus (CL-AGN) NGC 4151 during its outburst phase. By measuring the time lags of the \ha, \hb, \hg, \hei, and \heii\ em
Externí odkaz:
http://arxiv.org/abs/2409.01637
Autor:
Zhou, Shuying, Sun, Mouyuan, Feng, Hai-Cheng, Li, Sha-Sha, Xue, Yongquan, Wang, Jun-Xian, Cai, Zhen-Yi, Bai, Jin-Ming, Li, Danyang, Guo, Hengxiao, Liu, H. T., Lu, Kai-Xing, Mao, Jirong, Marculewicz, Marcin, Wang, Jian-Guo
Resolving the inner structures of active galactic nuclei (AGNs) provides the "standard ruler" to measure the parallax distances of the Universe and a powerful way to weigh supermassive black holes (SMBHs). Thanks to time-domain observations, it is po
Externí odkaz:
http://arxiv.org/abs/2408.11292
This paper compared physics-informed neural network (PINN), conventional neural network (NN) and traditional numerical discretization methods on solving differential equations (DEs) through literature investigation and experimental validation. We foc
Externí odkaz:
http://arxiv.org/abs/2408.11077
Autor:
Li, Sha-Sha, Feng, Hai-Cheng, Liu, H. T., Bai, J. M., Ji, Xiang, Cheng, Cheng, Lu, Kai-Xing, Wang, Jian-Guo, Li, Rui
Publikováno v:
ApJ, 972, 105 (2024)
Broad emission lines of active galactic nuclei (AGNs) originate from the broad-line region (BLR), consisting of dense gas clouds in orbit around an accreting supermassive black hole. Understanding the geometry and kinematics of the region is crucial
Externí odkaz:
http://arxiv.org/abs/2407.05414
Autor:
Feng, Hai-Cheng, Li, Rui, Napolitano, Nicola R., Li, Sha-Sha, Bai, J. M., Li, Ran, Liu, H. T., Lu, Kai-Xing, Radovich, Mario, Shan, Huan-Yuan, Wang, Jian-Guo, Xi, Wen-Zhe, Xie, Ling-Hua, Zhang, Yang-Wei
We present a novel multimodal neural network for classifying astronomical sources in multiband ground-based observations, from optical to near infrared, to separate sources in stars, galaxies and quasars. Our approach combines a convolutional neural
Externí odkaz:
http://arxiv.org/abs/2406.03797
Current state-of-the-art spatial reasoning-enhanced VLMs are trained to excel at spatial visual question answering (VQA). However, we believe that higher-level 3D-aware tasks, such as articulating dynamic scene changes and motion planning, require a
Externí odkaz:
http://arxiv.org/abs/2403.13438
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2024
Bugs exist in hardware, such as CPU. Unlike software bugs, these hardware bugs need to be detected before deployment. Previous fuzzing work in CPU bug detection has several disadvantages, e.g., the length of RTL input instructions keeps growing, and
Externí odkaz:
http://arxiv.org/abs/2401.15967
Publikováno v:
Network and Distributed Systems Security (NDSS) Symposium 2022
Coverage-guided gray-box fuzzing (CGF) is an efficient software testing technique. There are usually multiple objectives to optimize in CGF. However, existing CGF methods cannot successfully find the optimal values for multiple objectives simultaneou
Externí odkaz:
http://arxiv.org/abs/2401.15956