Zobrazeno 1 - 10
of 51 534
pro vyhledávání: '"Yanhua An"'
Autor:
Yanhua An, Qiumei Cao, Yixin Liu, Luping Lei, Dawei Wang, Yanjie Yang, Weijie Kong, Dali An, Dan Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
A colovesical fistula is a pathological communication between the colon and bladder. The symptoms include pneumaturia, fecaluria, and a lower urinary tract infection. The diagnosis is based on clinical symptoms, but the symptoms are not specific. The
Externí odkaz:
https://doaj.org/article/c5c98c80d1394743b92cbb5eeb7cbfe0
Publikováno v:
Frontiers in Surgery, Vol 9 (2023)
AimTo explore the predictive value of lymph node ratio (LNR) for the prognosis of medullary thyroid carcinoma (MTC) patients, and constructed prediction models for the 5-year, 10-year and 20-year mortality of MTC patients based on LNR and other predi
Externí odkaz:
https://doaj.org/article/834d88e4ccc140fb9149955553d022f1
Autor:
Li, Yanhua, Ouyang, Xiaocao, Pan, Chaofan, Zhang, Jie, Zhao, Sen, Xia, Shuyin, Yang, Xin, Wang, Guoyin, Li, Tianrui
Publikováno v:
AAAI2025
Open intent classification is critical for the development of dialogue systems, aiming to accurately classify known intents into their corresponding classes while identifying unknown intents. Prior boundary-based methods assumed known intents fit wit
Externí odkaz:
http://arxiv.org/abs/2412.13542
Autor:
Yang, Te, Jia, Jian, Zhu, Xiangyu, Zhao, Weisong, Wang, Bo, Cheng, Yanhua, Li, Yan, Liu, Shengyuan, Chen, Quan, Jiang, Peng, Gai, Kun, Lei, Zhen
Large Language Models (LLMs) have strong instruction-following capability to interpret and execute tasks as directed by human commands. Multimodal Large Language Models (MLLMs) have inferior instruction-following ability compared to LLMs. However, th
Externí odkaz:
http://arxiv.org/abs/2411.15453
Autor:
Yu, Runlong, Qiu, Chonghao, Ladwig, Robert, Hanson, Paul C., Xie, Yiqun, Li, Yanhua, Jia, Xiaowei
This paper introduces a \textit{Process-Guided Learning (Pril)} framework that integrates physical models with recurrent neural networks (RNNs) to enhance the prediction of dissolved oxygen (DO) concentrations in lakes, which is crucial for sustainin
Externí odkaz:
http://arxiv.org/abs/2411.12973
Autor:
Lu, Kangkang, Yu, Yanhua, Huang, Zhiyong, Li, Jia, Wang, Yuling, Liang, Meiyu, Qin, Xiting, Ren, Yimeng, Chua, Tat-Seng, Wang, Xidian
Graph Neural Networks (GNNs) have garnered significant scholarly attention for their powerful capabilities in modeling graph structures. Despite this, two primary challenges persist: heterogeneity and heterophily. Existing studies often address heter
Externí odkaz:
http://arxiv.org/abs/2410.13373
Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) by integrating external knowledge sources, enabling more accurate and contextually relevant responses tailored to user needs. However, existing RAG systems have signifi
Externí odkaz:
http://arxiv.org/abs/2410.05779
Geological carbon sequestration (GCS) involves injecting CO$_2$ into subsurface geological formations for permanent storage. Numerical simulations could guide decisions in GCS projects by predicting CO$_2$ migration pathways and the pressure distribu
Externí odkaz:
http://arxiv.org/abs/2409.16572
Autor:
Lin, Fangzhou, Liu, Haotian, Zhou, Haoying, Hou, Songlin, Yamada, Kazunori D, Fischer, Gregory S., Li, Yanhua, Zhang, Haichong K., Zhang, Ziming
3D point clouds enhanced the robot's ability to perceive the geometrical information of the environments, making it possible for many downstream tasks such as grasp pose detection and scene understanding. The performance of these tasks, though, heavi
Externí odkaz:
http://arxiv.org/abs/2409.06171
As the electronic and electrical architecture (E/EA) of intelligent and connected vehicles (ICVs) evolves, traditional distributed and signal-oriented architectures are being replaced by centralized, service-oriented architectures (SOA). This new gen
Externí odkaz:
http://arxiv.org/abs/2409.05904