Zobrazeno 1 - 10
of 5 112
pro vyhledávání: '"Qin, Xiao"'
Autor:
Liang, Jiaming, Lei, Chuan, Qin, Xiao, Zhang, Jiani, Katsifodimos, Asterios, Faloutsos, Christos, Rangwala, Huzefa
Data-centric AI focuses on understanding and utilizing high-quality, relevant data in training machine learning (ML) models, thereby increasing the likelihood of producing accurate and useful results. Automatic feature augmentation, aiming to augment
Externí odkaz:
http://arxiv.org/abs/2406.09534
Autor:
Wang, Minjie, Gan, Quan, Wipf, David, Cai, Zhenkun, Li, Ning, Tang, Jianheng, Zhang, Yanlin, Zhang, Zizhao, Mao, Zunyao, Song, Yakun, Wang, Yanbo, Li, Jiahang, Zhang, Han, Yang, Guang, Qin, Xiao, Lei, Chuan, Zhang, Muhan, Zhang, Weinan, Faloutsos, Christos, Zhang, Zheng
Although RDBs store vast amounts of rich, informative data spread across interconnected tables, the progress of predictive machine learning models as applied to such tasks arguably falls well behind advances in other domains such as computer vision o
Externí odkaz:
http://arxiv.org/abs/2404.18209
Autor:
Koutras, Christos, Zhang, Jiani, Qin, Xiao, Lei, Chuan, Ioannidis, Vasileios, Faloutsos, Christos, Karypis, George, Katsifodimos, Asterios
How can we discover join relationships among columns of tabular data in a data repository? Can this be done effectively when metadata is missing? Traditional column matching works mainly rely on similarity measures based on exact value overlaps, henc
Externí odkaz:
http://arxiv.org/abs/2403.07653
Autor:
Qin, Xiao, Zhang, Yu-Yu
Quantum fluctuations of a quantum Rabi triangle are studied using an analytical approach beyond the mean-field theory. By applying an artificial magnetic field among three cavities, time-reversal symmetry breaking is manifested through a directional
Externí odkaz:
http://arxiv.org/abs/2402.12815
Autor:
Zhang, Hengrui, Zhang, Jiani, Srinivasan, Balasubramaniam, Shen, Zhengyuan, Qin, Xiao, Faloutsos, Christos, Rangwala, Huzefa, Karypis, George
Recent advances in tabular data generation have greatly enhanced synthetic data quality. However, extending diffusion models to tabular data is challenging due to the intricately varied distributions and a blend of data types of tabular data. This pa
Externí odkaz:
http://arxiv.org/abs/2310.09656
Autor:
Yuqing Jin, Huiyao Feng, Qin Xiao, Fenglin Tian, Huan Yao, Runquan Zhang, Qiqi Wu, Haiyuan Zhu, Wanshan Zheng, Jin Chen, Tao Liu, Wenjun Ma, Xiongfei Chen, Xiaomei Dong
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The purpose of this study was to explore the job burnout of primary healthcare workers in Guangzhou during the prevention and control of COVID-19 epidemic and its influencing factors from the perspective of institutional operation
Externí odkaz:
https://doaj.org/article/ab2d98bf27a44297b330b9d86d57b5bf
The NTE domain of PTENα/β promotes cancer progression by interacting with WDR5 via its SSSRRSS motif
Autor:
Xiaolei Huang, Cheng Zhang, Xinci Shang, Yichang Chen, Qin Xiao, Zhengguo Wei, Guanghui Wang, Xuechu Zhen, Guoqiang Xu, Jinrong Min, Shaoming Shen, Yanli Liu
Publikováno v:
Cell Death and Disease, Vol 15, Iss 5, Pp 1-14 (2024)
Abstract PTENα/β, two variants of PTEN, play a key role in promoting tumor growth by interacting with WDR5 through their N-terminal extensions (NTEs). This interaction facilitates the recruitment of the SET1/MLL methyltransferase complex, resulting
Externí odkaz:
https://doaj.org/article/d3b06edb1e344054a5eb52a029e29ea3
Autor:
Zhang, Hengrui, Wang, Shen, Ioannidis, Vassilis N., Adeshina, Soji, Zhang, Jiani, Qin, Xiao, Faloutsos, Christos, Zheng, Da, Karypis, George, Yu, Philip S.
Graph Neural Networks (GNNs) are currently dominating in modeling graph-structure data, while their high reliance on graph structure for inference significantly impedes them from widespread applications. By contrast, Graph-regularized MLPs (GR-MLPs)
Externí odkaz:
http://arxiv.org/abs/2302.00109
Organoids are multi-cellular structures which are cultured in vitro from stem cells to resemble specific organs (e.g., brain, liver) in their three-dimensional composition. Dynamic changes in the shape and composition of these model systems can be us
Externí odkaz:
http://arxiv.org/abs/2212.10883
Prompt tuning recently becomes a hot-spot in the applications of large pretrained language models on specific downstream tasks. Regarding the Language Model as a Service (LMaaS), black-box tuning using derivative-free optimization (DFO) provides a no
Externí odkaz:
http://arxiv.org/abs/2212.06369