Zobrazeno 1 - 10
of 12 052
pro vyhledávání: '"An, Guisheng"'
Protein retrieval, which targets the deconstruction of the relationship between sequences, structures and functions, empowers the advancing of biology. Basic Local Alignment Search Tool (BLAST), a sequence-similarity-based algorithm, has proved the e
Externí odkaz:
http://arxiv.org/abs/2407.11548
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification
Autor:
Zhang, Lu, Lambotharan, Sangarapillai, Zheng, Gan, Liao, Guisheng, Demontis, Ambra, Roli, Fabio
Motivated by the superior performance of deep learning in many applications including computer vision and natural language processing, several recent studies have focused on applying deep neural network for devising future generations of wireless net
Externí odkaz:
http://arxiv.org/abs/2407.06807
Autor:
Tan, Yang, Li, Mingchen, Zhou, Bingxin, Zhong, Bozitao, Zheng, Lirong, Tan, Pan, Zhou, Ziyi, Yu, Huiqun, Fan, Guisheng, Hong, Liang
Fine-tuning Pre-trained protein language models (PLMs) has emerged as a prominent strategy for enhancing downstream prediction tasks, often outperforming traditional supervised learning approaches. As a widely applied powerful technique in natural la
Externí odkaz:
http://arxiv.org/abs/2404.14850
Anomaly detection on attributed networks aims to find the nodes whose behaviors are significantly different from other majority nodes. Generally, network data contains information about relationships between entities, and the anomaly is usually embod
Externí odkaz:
http://arxiv.org/abs/2401.01625
Large protein language models are adept at capturing the underlying evolutionary information in primary structures, offering significant practical value for protein engineering. Compared to natural language models, protein amino acid sequences have a
Externí odkaz:
http://arxiv.org/abs/2310.17415
While impressive performance has been achieved in image captioning, the limited diversity of the generated captions and the large parameter scale remain major barriers to the real-word application of these systems. In this work, we propose a lightwei
Externí odkaz:
http://arxiv.org/abs/2309.04965
Generative large language models (LLMs) have shown great success in various applications, including question-answering (QA) and dialogue systems. However, in specialized domains like traditional Chinese medical QA, these models may perform unsatisfac
Externí odkaz:
http://arxiv.org/abs/2309.01114
Publikováno v:
Leida xuebao, Vol 13, Iss 5, Pp 1061-1072 (2024)
Airborne radar receivers that utilize subarray processing face challenges owing to the complex space-time coupling distribution caused by grating-lobe clutter. This results in multiple performance notches in the main beam, which severely affects targ
Externí odkaz:
https://doaj.org/article/255a77982c114b3e873bf8646b76ce01
Autor:
Yan Zhao, Qiang Yuan, Liting Yang, Guisheng Liang, Yifeng Cheng, Limin Wu, Chunfu Lin, Renchao Che
Publikováno v:
Nano-Micro Letters, Vol 17, Iss 1, Pp 1-13 (2024)
Highlights “Zero-strain” NiNb2O6 fibers with nanosized primary particles are explored as an all-climate anode material with comprehensively good Li+-storage properties. The almost completely opposite volume changes of electrochemical inactive NiO
Externí odkaz:
https://doaj.org/article/1839aff1e0b84b2d8e265687d4bc22c2
Publikováno v:
Water Science and Technology, Vol 90, Iss 3, Pp 777-790 (2024)
Superhydrophobic coatings with excellent self-cleaning performance have attracted significant concerns from researchers. Although various superhydrophobic coatings with prominent superhydrophobic properties have been fabricated, most developed coatin
Externí odkaz:
https://doaj.org/article/b0617f40901f4413ae8e9df232b2ba0b