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pro vyhledávání: '"Zhang, Ya‐Lin"'
Autor:
Zhang, Ya-Lin, Zhou, Jun, Ren, Yankun, Zhang, Yue, Yang, Xinxing, Li, Meng, Shi, Qitao, Li, Longfei
Publikováno v:
ICDE 2023
In this paper, we consider the problem of long tail scenario modeling with budget limitation, i.e., insufficient human resources for model training stage and limited time and computing resources for model inference stage. This problem is widely encou
Externí odkaz:
http://arxiv.org/abs/2305.11390
Publikováno v:
In Clinical Breast Cancer December 2024 24(8):699-704
Publikováno v:
In Expert Systems With Applications 1 March 2024 237 Part B
Autor:
Zhang, Ya-Lin, Li, Longfei
Multi-task learning (MTL) aims at improving the generalization performance of several related tasks by leveraging useful information contained in them. However, in industrial scenarios, interpretability is always demanded, and the data of different t
Externí odkaz:
http://arxiv.org/abs/2003.07077
Machine learning techniques have been widely applied in Internet companies for various tasks, acting as an essential driving force, and feature engineering has been generally recognized as a crucial tache when constructing machine learning systems. R
Externí odkaz:
http://arxiv.org/abs/2003.02556
With online payment platforms being ubiquitous and important, fraud transaction detection has become the key for such platforms, to ensure user account safety and platform security. In this work, we present a novel method for detecting fraud transact
Externí odkaz:
http://arxiv.org/abs/1912.11760
Publikováno v:
In Expert Systems With Applications 1 March 2023 213 Part A
Autor:
Zhang, Ya-Lin, Zhou, Jun, Zheng, Wenhao, Feng, Ji, Li, Longfei, Liu, Ziqi, Li, Ming, Zhang, Zhiqiang, Chen, Chaochao, Li, Xiaolong, Zhou, Zhi-Hua, YUAN, QI
Internet companies are facing the need for handling large-scale machine learning applications on a daily basis and distributed implementation of machine learning algorithms which can handle extra-large scale tasks with great performance is widely nee
Externí odkaz:
http://arxiv.org/abs/1805.04234
Publikováno v:
In Biological Control September 2022 172
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