Zobrazeno 1 - 10
of 547
pro vyhledávání: '"Zhang, Shengjie"'
With the prosperity of large language models (LLMs), powerful LLM-based intelligent agents have been developed to provide customized services with a set of user-defined tools. State-of-the-art methods for constructing LLM agents adopt trained LLMs an
Externí odkaz:
http://arxiv.org/abs/2406.03007
Researchers have recently found that Self-Supervised Learning (SSL) is vulnerable to backdoor attacks. The attacker can embed hidden SSL backdoors via a few poisoned examples in the training dataset and maliciously manipulate the behavior of downstre
Externí odkaz:
http://arxiv.org/abs/2312.07955
Autor:
Yu, Ziqi, Zhao, Botao, Zhang, Shengjie, Chen, Xiang, Feng, Jianfeng, Peng, Tingying, Zhang, Xiao-Yong
Synthesizing medical images while preserving their structural information is crucial in medical research. In such scenarios, the preservation of anatomical content becomes especially important. Although recent advances have been made by incorporating
Externí odkaz:
http://arxiv.org/abs/2311.12461
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 7, Pp 1108-1117 (2024)
To better predict the lateral displacements of diaphragm walls during deep excavation, a long short-term memory (LSTM) multi-step prediction model is developed in this paper based on the LSTM algorithm. First, the multi-output strategy of multi-step
Externí odkaz:
https://doaj.org/article/184d6d06f56944aca9a34c5c07f9cd8e
Biomedical named entity recognition (NER) is a critial task that aims to identify structured information in clinical text, which is often replete with complex, technical terms and a high degree of variability. Accurate and reliable NER can facilitate
Externí odkaz:
http://arxiv.org/abs/2305.18152
Segmenting the fine structure of the mouse brain on magnetic resonance (MR) images is critical for delineating morphological regions, analyzing brain function, and understanding their relationships. Compared to a single MRI modality, multimodal MRI d
Externí odkaz:
http://arxiv.org/abs/2212.01825
Autor:
ZHAO Lin, REN Liying, NIE Weihua, CHEN Yaqi, ZHANG Jie, ZHANG Shengjie, WANG Yingli, DIAO Cuicui, MA Huiying, ZHANG Zheng, ZHOU Li, SHEN Le, WANG Huizhen, HUANG Yuguang
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 2, Pp 239-245 (2024)
Postoperative pain seriously affects the recovery process of patients, resulting in prolonged hospital stay and increased care costs. Appropriate application of patient-controlled analgesia devices can effectively relieve perioperative acute pain. In
Externí odkaz:
https://doaj.org/article/c1991944dde942eaba07688dab862a47
Autor:
Yang, Haibo, Zhang, Shengjie, Han, Xiaoyang, Zhao, Botao, Ren, Yan, Sheng, Yaru, Zhang, Xiao-Yong
Small lesions in magnetic resonance imaging (MRI) images are crucial for clinical diagnosis of many kinds of diseases. However, the MRI quality can be easily degraded by various noise, which can greatly affect the accuracy of diagnosis of small lesio
Externí odkaz:
http://arxiv.org/abs/2209.13818
Autor:
Guan, Li, Li, Aiyun, Song, Pengfei, Su, Wanzhen, Zhang, Shengjie, Chen, Jiaxin, Jiao, Xiangying, Li, Weize
Publikováno v:
In Bioorganic Chemistry October 2024 151
Novel bibenzyl compound Ae exhibits anti-agiogenic activity in HUVECs in vitro and zebrafish in vivo
Publikováno v:
In Bioorganic & Medicinal Chemistry 1 September 2024 111