Zobrazeno 1 - 10
of 326
pro vyhledávání: '"Li, Ruochen"'
Machine learning research, crucial for technological advancements and innovation, often faces significant challenges due to its inherent complexity, slow pace of experimentation, and the necessity for specialized expertise. Motivated by this, we pres
Externí odkaz:
http://arxiv.org/abs/2408.14033
To evaluate Large Language Models (LLMs) for question answering (QA), traditional methods typically focus on assessing single-turn responses to given questions. However, this approach doesn't capture the dynamic nature of human-AI interactions, where
Externí odkaz:
http://arxiv.org/abs/2408.13545
Cardiac Magnetic Resonance Imaging (CMR) is the gold standard for diagnosing cardiovascular diseases. Clinical diagnoses predominantly rely on magnitude-only Digital Imaging and Communications in Medicine (DICOM) images, omitting crucial phase inform
Externí odkaz:
http://arxiv.org/abs/2407.20108
Video-based Human-Object Interaction (HOI) recognition explores the intricate dynamics between humans and objects, which are essential for a comprehensive understanding of human behavior and intentions. While previous work has made significant stride
Externí odkaz:
http://arxiv.org/abs/2407.00917
Publikováno v:
Jichu yixue yu linchuang, Vol 44, Iss 11, Pp 1557-1562 (2024)
Objective To investigate the correlation between muscle strength level and bone mineral density and bone metabolism indexes in postmenopausal women in Beijing. Methods Postmenopausal women who were investigated by on-site questionnaires and followed
Externí odkaz:
https://doaj.org/article/dd324c3c54f14515bf1829db5f5e0628
Autor:
Cong, Runmin, Zhang, Yumo, Yang, Ning, Li, Haisheng, Zhang, Xueqi, Li, Ruochen, Chen, Zewen, Zhao, Yao, Kwong, Sam
The coronavirus disease 2019 (COVID-19) continues to have a negative impact on healthcare systems around the world, though the vaccines have been developed and national vaccination coverage rate is steadily increasing. At the current stage, automatic
Externí odkaz:
http://arxiv.org/abs/2209.02934
Trajectory prediction of road users in real-world scenarios is challenging because their movement patterns are stochastic and complex. Previous pedestrian-oriented works have been successful in modelling the complex interactions among pedestrians, bu
Externí odkaz:
http://arxiv.org/abs/2206.15275
Publikováno v:
In Neurocomputing 28 September 2024 599
Autor:
Wang, Jiabao, Ou, Yannan, Li, Ruochen, Tao, Chengyuan, Liu, Hongjun, Li, Rong, Shen, Zongzhuan, Shen, Qirong
Publikováno v:
In Ecotoxicology and Environmental Safety 15 September 2024 283
Publikováno v:
In Information Sciences January 2025 689