Zobrazeno 1 - 10
of 704
pro vyhledávání: '"ZHAO Ziwei"'
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 33, Iss 6, Pp 716-722 (2021)
ObjectiveA method for the preparation and certification of the reference material of tenuazonic acid(TeA) and tentoxin (TEN) in wheat flour was developed.MethodsThe reference material of TeA and TEN in wheat flour was prepared from grain which natura
Externí odkaz:
https://doaj.org/article/5ff6b6d9b83c4bfea0707309d4f5e529
Popularity prediction for information cascades has significant applications across various domains, including opinion monitoring and advertising recommendations. While most existing methods consider this as a discrete problem, popularity actually evo
Externí odkaz:
http://arxiv.org/abs/2410.18742
Background: The Cox model and its extensions assuming proportional hazards is widely used to estimate vaccine efficacy (VE). In the typical situation that VE wanes over time, the VE estimates are not only sensitive to study duration and timing of vac
Externí odkaz:
http://arxiv.org/abs/2410.15719
Autor:
Yu, Haojun, Li, Youcheng, Zhang, Nan, Niu, Zihan, Gong, Xuantong, Luo, Yanwen, Wu, Quanlin, Qin, Wangyan, Zhou, Mengyuan, Han, Jie, Tao, Jia, Zhao, Ziwei, Dai, Di, He, Di, Wang, Dong, Tang, Binghui, Huo, Ling, Zhu, Qingli, Wang, Yong, Wang, Liwei
Data-driven deep learning models have shown great capabilities to assist radiologists in breast ultrasound (US) diagnoses. However, their effectiveness is limited by the long-tail distribution of training data, which leads to inaccuracies in rare cas
Externí odkaz:
http://arxiv.org/abs/2407.16634
This short paper presents preliminary research on the Case-Enhanced Vision Transformer (CEViT), a similarity measurement method aimed at improving the explainability of similarity assessments for image data. Initial experimental results suggest that
Externí odkaz:
http://arxiv.org/abs/2407.16981
Autor:
Lin, Fake, Zhao, Ziwei, Zhu, Xi, Zhang, Da, Shen, Shitian, Li, Xueying, Xu, Tong, Zhang, Suojuan, Chen, Enhong
Last year has witnessed the re-flourishment of tag-aware recommender systems supported by the LLM-enriched tags. Unfortunately, though large efforts have been made, current solutions may fail to describe the diversity and uncertainty inherent in user
Externí odkaz:
http://arxiv.org/abs/2406.12020
Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
Human-in-the-loop (HITL) strategy has been recently introduced into the field of medical image processing. Indocyanine green angiography (ICGA) stands as a well-established examination for visualizing choroidal vasculature and detecting chorioretinal
Externí odkaz:
http://arxiv.org/abs/2406.01993
Autor:
Zhang Haitao, Li Shefeng, Zhang Yong, Ding Siyu, Chen Pei, Song Guangsen, Zhao Ziwei, Tu Linyu
Publikováno v:
E3S Web of Conferences, Vol 385, p 02016 (2023)
The efficient use of energy is an important strategic issue concerning our energy security and double carbon goals. Many industrial waste gases, such as oil refineries, contain a lot of ethylene, which is a gas that is harmful to people and the envir
Externí odkaz:
https://doaj.org/article/3337c5ca0109461f86bd65c4850444fc
Autor:
Lin, Fake, Zhu, Xi, Zhao, Ziwei, Huang, Deqiang, Yu, Yu, Li, Xueying, Zheng, Zhi, Xu, Tong, Chen, Enhong
Recent years have witnessed the prosperity of knowledge graph based recommendation system (KGRS), which enriches the representation of users, items, and entities by structural knowledge with striking improvement. Nevertheless, its unaffordable comput
Externí odkaz:
http://arxiv.org/abs/2405.11531
Autor:
Zhao, Ziwei, Lin, Fake, Zhu, Xi, Zheng, Zhi, Xu, Tong, Shen, Shitian, Li, Xueying, Yin, Zikai, Chen, Enhong
Last year has witnessed the considerable interest of Large Language Models (LLMs) for their potential applications in recommender systems, which may mitigate the persistent issue of data sparsity. Though large efforts have been made for user-item gra
Externí odkaz:
http://arxiv.org/abs/2405.07580