Zobrazeno 1 - 10
of 1 744
pro vyhledávání: '"Yang Xinyi"'
Autor:
Yang Xinyi, Reshetov Igor Vladimirovich, Narasimha M. Beeraka, Allaka Satyavathi, Dinisha Kamble, Vladimir N. Nikolenko, Allaka Naga Lakshmi, Basappa Basappa, Padmanabha Reddy Y, Ruitai Fan, Junqi Liu
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-29 (2024)
Abstract Background Hematopoiesis within the bone marrow (BM) is a complex and tightly regulated process predominantly influenced by immune factors. Aging, diabetes, and obesity are significant contributors to BM niche damage, which can alter hematop
Externí odkaz:
https://doaj.org/article/f57b1050113b4cb4a706348fe97d5570
Publikováno v:
电力工程技术, Vol 42, Iss 1, Pp 2-10 (2023)
In order to meet the power flow regulation requirements of distribution network and improve the power flow regulation ability as well as response speed, a novel multi-line hybrid unified power flow controller for distribution network (D-MHUPFC) is pr
Externí odkaz:
https://doaj.org/article/babc500c299b43e1acd18defe1e2fcf0
Publikováno v:
Xiehe Yixue Zazhi, Vol 13, Iss 4, Pp 620-625 (2022)
Objective To evaluate the clinical application value of the compression and storage algorithm of histopathological images based on matrix computing, and to seek the best image compression ratio. Methods Two classical matrix algorithms, principal comp
Externí odkaz:
https://doaj.org/article/c1ce34a50f464bc4bdca89af57e6cc6c
Tactile and visual perception are both crucial for humans to perform fine-grained interactions with their environment. Developing similar multi-modal sensing capabilities for robots can significantly enhance and expand their manipulation skills. This
Externí odkaz:
http://arxiv.org/abs/2410.24091
Autor:
Wu, Junchao, Zhan, Runzhe, Wong, Derek F., Yang, Shu, Yang, Xinyi, Yuan, Yulin, Chao, Lidia S.
Detecting text generated by large language models (LLMs) is of great recent interest. With zero-shot methods like DetectGPT, detection capabilities have reached impressive levels. However, the reliability of existing detectors in real-world applicati
Externí odkaz:
http://arxiv.org/abs/2410.23746
Embedding models have been crucial in enabling various downstream tasks such as semantic similarity, information retrieval, and clustering. Recently, there has been a surge of interest in developing universal text embedding models that can generalize
Externí odkaz:
http://arxiv.org/abs/2410.05160
Post-training Large Language Models (LLMs) with explicit reasoning trajectories can enhance their reasoning abilities. However, acquiring such high-quality trajectory data typically demands meticulous supervision from humans or superior models, which
Externí odkaz:
http://arxiv.org/abs/2410.02108
Autor:
Chen, Jiayu, Yu, Chao, Li, Guosheng, Tang, Wenhao, Yang, Xinyi, Xu, Botian, Yang, Huazhong, Wang, Yu
Multi-UAV pursuit-evasion, where pursuers aim to capture evaders, poses a key challenge for UAV swarm intelligence. Multi-agent reinforcement learning (MARL) has demonstrated potential in modeling cooperative behaviors, but most RL-based approaches r
Externí odkaz:
http://arxiv.org/abs/2409.15866
Autor:
Chen, Weicong, Yang, Xinyi, Wen, Chao-Kai, Tang, Wankai, Wang, Jinghe, Yuan, Yifei, Li, Xiao, Jin, Shi
The passive reconfigurable intelligent surface (RIS) requires numerous elements to achieve adequate array gain, which linearly increases power consumption (PC) with the number of reflection phases. To address this, this letter introduces a rotatable
Externí odkaz:
http://arxiv.org/abs/2408.12069
Autor:
Zeng, Jinwei, Yu, Chao, Yang, Xinyi, Ao, Wenxuan, Hao, Qianyue, Yuan, Jian, Li, Yong, Wang, Yu, Yang, Huazhong
The increasingly severe congestion problem in modern cities strengthens the significance of developing city-scale traffic signal control (TSC) methods for traffic efficiency enhancement. While reinforcement learning has been widely explored in TSC, m
Externí odkaz:
http://arxiv.org/abs/2406.02126