Zobrazeno 1 - 10
of 1 720
pro vyhledávání: '"YANG Wenjie"'
Autor:
ZHONG Ruihua, LI Guoting, YANG Wenjie, GUO Xiangjie, ZHOU Jieyun, HU Yingyi, NI Qicheng, YANG Ye, ZHANG Min, ZHU Yan
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 44, Iss 2, Pp 127-138 (2024)
Objective To establish an allogeneic rat model of endometriosis and to evaluate the effects of gonadotropin-releasing hormone (GnRH) agonist GenSci006 on experimental rat endometriosis. Methods Endometrium from SPF grade donor female SD rats were tra
Externí odkaz:
https://doaj.org/article/86bbc16580ef4d9696771e2265f882ff
Autor:
YANG Wenjie, YAN Fuhua
Publikováno v:
Zhenduanxue lilun yu shijian, Vol 22, Iss 01, Pp 14-20 (2023)
The National Comprehensive Cancer Network (NCCN) updated the Clinical Practice Guidelines for Lung Cancer Screening (version 2. 2022). In this version, only two factors, age and smoking history, are used to stratify people into high and low risk grou
Externí odkaz:
https://doaj.org/article/38bd8e4f5346400fba609c9388040c7d
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Externí odkaz:
https://doaj.org/article/84614d31593745b283e0778705ea56b6
Graph recommender (GR) is a type of graph neural network (GNNs) encoder that is customized for extracting information from the user-item interaction graph. Due to its strong performance on the recommendation task, GR has gained significant attention
Externí odkaz:
http://arxiv.org/abs/2407.17723
Autor:
Fang, Anna, Yang, Wenjie, Shah, Raj Sanjay, Mathur, Yash, Yang, Diyi, Zhu, Haiyi, Kraut, Robert
Online mental health support communities have grown in recent years for providing accessible mental and emotional health support through volunteer counselors. Despite millions of people participating in chat support on these platforms, the clinical e
Externí odkaz:
http://arxiv.org/abs/2312.10775
In this work, we discover a phenomenon of community bias amplification in graph representation learning, which refers to the exacerbation of performance bias between different classes by graph representation learning. We conduct an in-depth theoretic
Externí odkaz:
http://arxiv.org/abs/2312.04883
Graph contrastive learning (GCL) has become a powerful tool for learning graph data, but its scalability remains a significant challenge. In this work, we propose a simple yet effective training framework called Structural Compression (StructComp) to
Externí odkaz:
http://arxiv.org/abs/2312.04865
Social media images, curated or casual, have become a crucial component of communicating situational information and emotions during health crises. Despite its prevalence and significance in informational dissemination and emotional connection, there
Externí odkaz:
http://arxiv.org/abs/2311.10977
The proliferation of short video and live-streaming platforms has revolutionized how consumers engage in online shopping. Instead of browsing product pages, consumers are now turning to rich-content e-commerce, where they can purchase products throug
Externí odkaz:
http://arxiv.org/abs/2308.05550
Live commerce is the act of selling products online through live streaming. The customer's diverse demands for online products introduce more challenges to Livestreaming Product Recognition. Previous works have primarily focused on fashion clothing d
Externí odkaz:
http://arxiv.org/abs/2308.04912