Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Liu Yuze"'
Autor:
Liu, Yuze, Liu, Tingjie, Zhang, Tiehua, Xia, Youhua, Wang, Jinze, Shen, Zhishu, Jin, Jiong, Yu, Fei Richard
Large language models (LLMs) have demonstrated impressive success in a wide range of natural language processing (NLP) tasks due to their extensive general knowledge of the world. Recent works discovered that the performance of LLMs is heavily depend
Externí odkaz:
http://arxiv.org/abs/2411.14479
Machine learning model development in chemistry and materials science often grapples with the challenge of small scale, unbalanced labelled datasets, a common limitation in scientific experiments. These dataset imbalances can precipitate overfit ting
Externí odkaz:
http://arxiv.org/abs/2404.11348
Autor:
Liu, Yuze, Zhao, Ziming, Zhang, Tiehua, Wang, Kang, Chen, Xin, Huang, Xiaowei, Yin, Jun, Shen, Zhishu
Sleep stage classification is crucial for detecting patients' health conditions. Existing models, which mainly use Convolutional Neural Networks (CNN) for modelling Euclidean data and Graph Convolution Networks (GNN) for modelling non-Euclidean data,
Externí odkaz:
http://arxiv.org/abs/2309.02124
Graph neural network (GNN) has gained increasing popularity in recent years owing to its capability and flexibility in modeling complex graph structure data. Among all graph learning methods, hypergraph learning is a technique for exploring the impli
Externí odkaz:
http://arxiv.org/abs/2307.03411
Vulnerability detection is a critical problem in software security and attracts growing attention both from academia and industry. Traditionally, software security is safeguarded by designated rule-based detectors that heavily rely on empirical exper
Externí odkaz:
http://arxiv.org/abs/2306.01376
Heterogeneous graph neural network has unleashed great potential on graph representation learning and shown superior performance on downstream tasks such as node classification and clustering. Existing heterogeneous graph learning networks are primar
Externí odkaz:
http://arxiv.org/abs/2210.17142
Spatial-temporal data contains rich information and has been widely studied in recent years due to the rapid development of relevant applications in many fields. For instance, medical institutions often use electrodes attached to different parts of a
Externí odkaz:
http://arxiv.org/abs/2206.03420
Autor:
He, Qiyu, Lang, Xinyue, Shen, Huayan, Liu, Jiangmei, Zhou, Sirui, Wei, Jing, Lin, Xinjie, Liu, Yuze, Ma, Kai, Dou, Zheng, Zhou, Zhou, Zhou, Maigeng, Li, Shoujun
Publikováno v:
In The Lancet Regional Health - Western Pacific December 2024 53
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)
Publikováno v:
In Applied Acoustics 15 January 2025 228