Zobrazeno 1 - 10
of 28 411
pro vyhledávání: '"LI, FEI"'
Linear codes with a few weights can be applied to secrete sharing, authentication codes, association schemes and strongly regular graphs. For an odd prime power $q$, we construct a class of three-weight $\F_q$-linear codes from quadratic functions vi
Externí odkaz:
http://arxiv.org/abs/2410.02209
In the endeavor to make autonomous robots take actions, task planning is a major challenge that requires translating high-level task descriptions into long-horizon action sequences. Despite recent advances in language model agents, they remain prone
Externí odkaz:
http://arxiv.org/abs/2410.01440
Autocorrelation measurement is theoretically demonstrated to characterize attosecond pulses by studying the two-photon double ionization (TPDI) process. An interferometric autocorrelation curve is presented in the change of TPDI probability with the
Externí odkaz:
http://arxiv.org/abs/2409.15601
The Schwinger model serves as a benchmark for testing non-perturbative algorithms in quantum chromodynamics (QCD), emphasizing its similarities to QCD in strong coupling regimes, primarily due to the phenomena such as confinement and charge screening
Externí odkaz:
http://arxiv.org/abs/2409.13510
Autor:
Zhang, Shuihan, Chen, Chao, Ji, Xiaolu, Li, Fei, Peng, Yu, Petrucci, Fabrizio, Wu, Yinhui, Yu, Zezhong, Zeng, Tingxuan, Zhu, Kejun
Purpose: The Taishan Antineutrino Observatory (TAO) is a satellite experiment of the Jiangmen Underground Neutrino Observatory (JUNO), also known as JUNO-TAO. Located close to one of the reactors of the Taishan Nuclear Power Plant, TAO will measure t
Externí odkaz:
http://arxiv.org/abs/2409.05522
Autor:
Li, Zihan, Song, Diping, Yang, Zefeng, Wang, Deming, Li, Fei, Zhang, Xiulan, Kinahan, Paul E., Qiao, Yu
The need for improved diagnostic methods in ophthalmology is acute, especially in the less developed regions with limited access to specialists and advanced equipment. Therefore, we introduce VisionUnite, a novel vision-language foundation model for
Externí odkaz:
http://arxiv.org/abs/2408.02865
Noise suppression in seismic data processing is a crucial research focus for enhancing subsequent imaging and reservoir prediction. Deep learning has shown promise in computer vision and holds significant potential for seismic data processing. Howeve
Externí odkaz:
http://arxiv.org/abs/2408.02187
Recently, transformer-based models have demonstrated remarkable performance on audio-visual segmentation (AVS) tasks. However, their expensive computational cost makes real-time inference impractical. By characterizing attention maps of the network,
Externí odkaz:
http://arxiv.org/abs/2408.01708
Fine-grained sentiment analysis involves extracting and organizing sentiment elements from textual data. However, existing approaches often overlook issues of category semantic inclusion and overlap, as well as inherent structural patterns within the
Externí odkaz:
http://arxiv.org/abs/2407.21560
Lomics: Generation of Pathways and Gene Sets using Large Language Models for Transcriptomic Analysis
Autor:
Wong, Chun-Ka, Choo, Ali, Cheng, Eugene C. C., San, Wing-Chun, Cheng, Kelvin Chak-Kong, Lau, Yee-Man, Lin, Minqing, Li, Fei, Liang, Wei-Hao, Liao, Song-Yan, Ng, Kwong-Man, Hung, Ivan Fan-Ngai, Tse, Hung-Fat, Wong, Jason Wing-Hon
Interrogation of biological pathways is an integral part of omics data analysis. Large language models (LLMs) enable the generation of custom pathways and gene sets tailored to specific scientific questions. These targeted sets are significantly smal
Externí odkaz:
http://arxiv.org/abs/2407.09089