Výsledky vyhledávání - "Wang Jinglong"

Akademický článek

Pharmacokinetics study of a supersaturatable self-microemulsifying drug delivery system for ellagic acid by UHPLC-Q-TOF-MS

Autor: Wang Jinglong, Fan Liqun, Zhang Lihua, Zheng Dandan, Wang Yingzi, Sun Xiao, Ji Yonghui

Publikováno v: Acta Pharmaceutica, Vol 71, Iss 4, Pp 679-687 (2021)

To evaluate the bioavailability of ellagic acid loaded super-saturatable self-microemulsifying drug delivery system (S-SMEDDS), its pharmacokinetic properties were studied in rats with an ultra-high performance liquid chromatography-quadrupole time-o

Externí odkaz: https://doaj.org/article/49cf9a93a84e44f592325482374ca7e1

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Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Autor: Wang, Jinglong, Li, Xiawei, Zhang, Jing, Xu, Qingyuan, Zhou, Qin, Yu, Qian, Sheng, Lu, Xu, Dong

The pre-trained text-image discriminative models, such as CLIP, has been explored for open-vocabulary semantic segmentation with unsatisfactory results due to the loss of crucial localization information and awareness of object shapes. Recently, ther

Externí odkaz: http://arxiv.org/abs/2309.02773

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Inductive Graph Transformer for Delivery Time Estimation

Autor: Zhou, Xin, Wang, Jinglong, Liu, Yong, Wu, Xingyu, Shen, Zhiqi, Leung, Cyril

Providing accurate estimated time of package delivery on users' purchasing pages for e-commerce platforms is of great importance to their purchasing decisions and post-purchase experiences. Although this problem shares some common issues with the con

Externí odkaz: http://arxiv.org/abs/2211.02863

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A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges

Autor: Cui, Junyun, Shen, Xiaoyu, Nie, Feiping, Wang, Zheng, Wang, Jinglong, Chen, Yulong

Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to predict judgment results based on fact descriptions automatically. Recently, large-scale public datasets and advances in NLP research have led to increasing inter

Externí odkaz: http://arxiv.org/abs/2204.04859

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