Zobrazeno 1 - 10
of 667
pro vyhledávání: '"YANG Yulong"'
Autor:
DUAN Xing, LIANG Xinyue, WANG Jibao, YANG Jin, WANG Yikui, YANG Yulong, ZHOU Sujuan, YANG Tao, YANG Yuecheng, TANG Renhai, YE Runhua, DING Yingying, HE Na, DUAN Song
Publikováno v:
Shanghai yufang yixue, Vol 35, Iss 12, Pp 1168-1174 (2023)
ObjectiveThis study aimed to investigate the HIV genotypic subtypes and molecular transmission clusters among men who have sex with men （MSM） with newly reported HIV infections in Dehong Dai and Jingpo Autonomous Prefecture （Dehong Prefecture
Externí odkaz:
https://doaj.org/article/2fba015ecc124210959059d3cdd1e87f
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Obtaining detailed information about the design and construction of ancient stone pagodas is challenging due to their significant age. Due to this, the internal structure is still unknown, and the analysis of their structural safety lacks a solid fou
Externí odkaz:
https://doaj.org/article/d10905485c6c4d7e83fea4ad3bd1a4d5
Autor:
Yang, Yulong, Yang, Xinshan, Li, Shuaidong, Lin, Chenhao, Zhao, Zhengyu, Shen, Chao, Zhang, Tianwei
The rapid progress in the reasoning capability of the Multi-modal Large Language Models (MLLMs) has triggered the development of autonomous agent systems on mobile devices. MLLM-based mobile agent systems consist of perception, reasoning, memory, and
Externí odkaz:
http://arxiv.org/abs/2407.09295
Autor:
Yang, Yulong, Feng, Bowen, Wang, Keqin, Leonard, Naomi, Dieng, Adji Bousso, Allen-Blanchette, Christine
From pedestrians to Kuramoto oscillators, interactions between agents govern how a multitude of dynamical systems evolve in space and time. Discovering how these agents relate to each other can improve our understanding of the often complex dynamics
Externí odkaz:
http://arxiv.org/abs/2406.14746
In this paper, we introduce group convolutional neural networks (GCNNs) equivariant to color variation. GCNNs have been designed for a variety of geometric transformations from 2D and 3D rotation groups, to semi-groups such as scale. Despite the impr
Externí odkaz:
http://arxiv.org/abs/2406.09588
Autor:
YANG Yulong
Publikováno v:
Waike lilun yu shijian, Vol 25, Iss 06, Pp 456-459 (2020)
Externí odkaz:
https://doaj.org/article/d0368c1577664655889533a38b134f8b
Publikováno v:
MATEC Web of Conferences, Vol 363, p 01028 (2022)
Aiming at the application of C/C composite in nozzle throat lining of solid rocket motor, the thermochemical ablation of C/C composites under CO2 or N2 different confining pressures is studied by using a continuous laser ablation test device, and som
Externí odkaz:
https://doaj.org/article/357a849c482a4954a57f520a05480225
Autor:
Yang, Bo, Zhang, Hengwei, Wang, Jindong, Yang, Yulong, Lin, Chenhao, Shen, Chao, Zhao, Zhengyu
Transferable adversarial examples cause practical security risks since they can mislead a target model without knowing its internal knowledge. A conventional recipe for maximizing transferability is to keep only the optimal adversarial example from a
Externí odkaz:
http://arxiv.org/abs/2402.18370
Autor:
Yang, Yulong, Lin, Chenhao, Ji, Xiang, Tian, Qiwei, Li, Qian, Yang, Hongshan, Wang, Zhibo, Shen, Chao
Transfer-based adversarial attacks raise a severe threat to real-world deep learning systems since they do not require access to target models. Adversarial training (AT), which is recognized as the strongest defense against white-box attacks, has als
Externí odkaz:
http://arxiv.org/abs/2310.09891