Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Song, Zihe"'
Session-based recommendation (SBR) aims to capture dynamic user preferences by analyzing item sequences within individual sessions. However, most existing approaches focus mainly on intra-session item relationships, neglecting the connections between
Externí odkaz:
http://arxiv.org/abs/2410.04756
Autor:
Zhang, Weizhi, Yang, Liangwei, Song, Zihe, Zou, Henry Peng, Xu, Ke, Fang, Liancheng, Yu, Philip S.
The efficiency and scalability of graph convolution networks (GCNs) in training recommender systems (RecSys) have been persistent concerns, hindering their deployment in real-world applications. This paper presents a critical examination of the neces
Externí odkaz:
http://arxiv.org/abs/2407.18910
Autor:
Zhang, Weizhi, Yang, Liangwei, Song, Zihe, Zou, Henry Peng, Xu, Ke, Zhu, Yuanjie, Yu, Philip S.
Recommender systems (RecSys) play a vital role in online platforms, offering users personalized suggestions amidst vast information. Graph contrastive learning aims to learn from high-order collaborative filtering signals with unsupervised augmentati
Externí odkaz:
http://arxiv.org/abs/2404.15954
Autor:
Zou, Henry Peng, Samuel, Vinay, Zhou, Yue, Zhang, Weizhi, Fang, Liancheng, Song, Zihe, Yu, Philip S., Caragea, Cornelia
Existing datasets for attribute value extraction (AVE) predominantly focus on explicit attribute values while neglecting the implicit ones, lack product images, are often not publicly available, and lack an in-depth human inspection across diverse do
Externí odkaz:
http://arxiv.org/abs/2404.15592
Web end-to-end (e2e) testing evaluates the workflow of a web application. It simulates real-world user scenarios to ensure the application flows behave as expected. However, web e2e tests are notorious for being flaky, i.e., the tests can produce inc
Externí odkaz:
http://arxiv.org/abs/2402.09745
Autor:
Yang, Liangwei, Zhang, Hengrui, Song, Zihe, Zhang, Jiawei, Zhang, Weizhi, Ma, Jing, Yu, Philip S.
This paper answers a fundamental question in artificial neural network (ANN) design: We do not need to build ANNs layer-by-layer sequentially to guarantee the Directed Acyclic Graph (DAG) property. Drawing inspiration from biological intelligence (BI
Externí odkaz:
http://arxiv.org/abs/2402.03332
Neural image caption generation (NICG) models have received massive attention from the research community due to their excellent performance in visual understanding. Existing work focuses on improving NICG model accuracy while efficiency is less expl
Externí odkaz:
http://arxiv.org/abs/2203.15859
Autor:
Song, Zihe1 (AUTHOR) zihesong_njfu@outlook.com, Zhang, Chenghao1 (AUTHOR) zhangchenghao@njfu.edu.cn, Song, Guotao1 (AUTHOR) sgtendeavor@163.com, Wei, Hang2 (AUTHOR) wh18187082671@163.com, Xu, Wenlin1 (AUTHOR) wenlinxu.njfu@outlook.com, Pan, Huixin1 (AUTHOR) njfuhxpan@163.com, Ding, Changjun2 (AUTHOR) changjunding@caf.ac.cn, Xu, Meng1 (AUTHOR) xum@njfu.edu.cn, Zhen, Yan1 (AUTHOR) zhenyan@njfu.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Jul2024, Vol. 25 Issue 13, p7403. 21p.
Flaky tests have gained attention from the research community in recent years and with good reason. These tests lead to wasted time and resources, and they reduce the reliability of the test suites and build systems they affect. However, most of the
Externí odkaz:
http://arxiv.org/abs/2103.02669
Autor:
Xu, Wenlin, Qi, Haoran, Shen, Tengfei, Zhao, Meiqi, Song, Zihe, Ran, Na, Wang, Jiali, Xi, Mengli, Xu, Meng
Publikováno v:
In iScience 21 April 2023 26(4)