Effective Collaborative Representation Learning for Multilabel Text Categorization

Author:

Wu Hao1ORCID,Qin Shaowei1,Nie Rencan2ORCID,Cao Jinde3ORCID,Gorbachev Sergey4ORCID

Affiliation:

1. School of Information Science and Engineering, Yunnan University, Kunming 650091, China.

2. School of Information Science and Engineering, Yunnan University, Kunming 650091, China, and also with the School of Automation, Southeast University, Nanjing 210096, China.

3. School of Mathematics, Southeast University, Nanjing 210096, China, and also with the Yonsei Frontier Laboratory, Yonsei University, Seoul 03722, South Korea (e-mail: jdcao@seu.edu.cn)

4. Department of Innovative Technologies, National Research Tomsk State University, 634050 Tomsk, Russia.

Funder

National Natural Science Foundation of China

Yunnan Provincial Foundation for Leaders of Disciplines in Science and Technology

Top Young Talents of Ten Thousand Plan in Yunnan Province

Program for Excellent Young Talents of Yunnan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

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