Dr. Guoqiang Wu is an associate researcher in the School of Software, Shandong University. He received his bachelor's degree from Shandong University in 2012. Then, he received his master's and Ph.D. degrees from the University of Chinese Academy of Sciences in 2015 and 2019, respectively. From 2019 to 2021, he did his postdoc research at Tsinghua University. His research interests mainly concentrate on machine learning, optimization, artifici... More+
Institution:软件学院
Title of Paper:Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning?
Journal:15th Asian Conference on Machine Learning, ACML 2023
First Author:吴国强
Document Code:1787756047151423490
Volume:222
Page Number:1494-1509
Number of Words:38
Translation or Not:No
Date of Publication:2024-02
Release Time:2024-05-25
