Zobrazeno 1 - 10
of 1 949
pro vyhledávání: '"LI Ruifeng"'
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 3, Pp 271-280 (2023)
Coal-tar pitch (CTP) is a substance produced by ambient and/or vacuum distillation of high-temperature coal tar, although CTP has a large yield in China, however its wide application is limited due to its high toxicity. It was found that the toxicity
Externí odkaz:
https://doaj.org/article/49ed4f48fd6f4ff2b7699c011c1570a5
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 9, Pp 100-108 (2022)
In the detection of wire rope damage, the structure design of the flaw detector is very important to the detection precision of wire rope damage. The research on the structural parameters and their combinations of the existing electromagnetic wire ro
Externí odkaz:
https://doaj.org/article/222aca3cb3c24ce3897d9ce83fc1cbca
Autor:
Liu, Qi, Liu, Yanchen, Li, Ruifeng, Cao, Chenhong, Li, Yufeng, Li, Xingyu, Wang, Peng, Feng, Runhan
The integration of intelligent and connected technologies in modern vehicles, while offering enhanced functionalities through Electronic Control Unit and interfaces like OBD-II and telematics, also exposes the vehicle's in-vehicle network (IVN) to po
Externí odkaz:
http://arxiv.org/abs/2411.10258
Autor:
Li, Ruifeng, Liu, Wei, Zhou, Xiangxin, Li, Mingqian, Zhang, Qiang, Chen, Hongyang, Lin, Xuemin
In the drug discovery process, the low success rate of drug candidate screening often leads to insufficient labeled data, causing the few-shot learning problem in molecular property prediction. Existing methods for few-shot molecular property predict
Externí odkaz:
http://arxiv.org/abs/2410.20711
In multi-task learning, we often encounter the case when the presence of labels across samples exhibits irregular patterns: samples can be fully labeled, partially labeled or unlabeled. Taking drug analysis as an example, multiple toxicity properties
Externí odkaz:
http://arxiv.org/abs/2410.14380
Autor:
Ni Ling, Ye Fang, Qiao Qin, Feng Yu, Yang Yazheng, Zhao Hui, Zhang Li-Nan, Cheng Meng-Li, Zhu Gengzhen, Li Xiaoli, Zhong Xuan, Li Ruifeng, Qin Cheng-Feng, Chen Fang, Dong Chen
Publikováno v:
National Science Open, Vol 1 (2022)
Cellular and humoral immunity are both important in host defense against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although defects in SARS-CoV-2-specific T cell immunity have been found in patients with severe lung pathology, it
Externí odkaz:
https://doaj.org/article/0dcc5e1be2b6471d8792148a94893a17
Effective molecular representation learning is crucial for advancing molecular property prediction and drug design. Mainstream molecular representation learning approaches are based on Graph Neural Networks (GNNs). However, these approaches struggle
Externí odkaz:
http://arxiv.org/abs/2408.01018
Autor:
Li, Ruifeng, Zhou, Dongzhan, Shen, Ancheng, Zhang, Ao, Su, Mao, Li, Mingqian, Chen, Hongyang, Chen, Gang, Zhang, Yin, Zhang, Shufei, Li, Yuqiang, Ouyang, Wanli
Artificial intelligence (AI) technology has demonstrated remarkable potential in drug dis-covery, where pharmacokinetics plays a crucial role in determining the dosage, safety, and efficacy of new drugs. A major challenge for AI-driven drug discovery
Externí odkaz:
http://arxiv.org/abs/2404.10354
Publikováno v:
Jixie chuandong, Vol 40, Pp 56-61 (2016)
Aiming at the problem of the high labor intensity,low eyeleting precision and low work efficiency of conventional paper flowerpot eyeletter with manual operation,an automatic eyeletter is proposed. And then,through building the mathematic model,the a
Externí odkaz:
https://doaj.org/article/d92c5a235fa74d0b8b241cbcbef0c97c
Autor:
Xie, Tao, Dai, Kun, Lu, Siyi, Wang, Ke, Jiang, Zhiqiang, Gao, Jinghan, Liu, Dedong, Xu, Jie, Zhao, Lijun, Li, Ruifeng
In this work, we seek to predict camera poses across scenes with a multi-task learning manner, where we view the localization of each scene as a new task. We propose OFVL-MS, a unified framework that dispenses with the traditional practice of trainin
Externí odkaz:
http://arxiv.org/abs/2308.11928