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Biography

Zhili Qin received his B.S. degree in Computer Science in 2017, from the Hefei University of Technology. He is currently a Ph.D. student at the University of Electronic Science and Technology of China. He gone to Ludwig Maximilian University of Munich in Germany for a one-year academic exchange in 2022. His main research interest is multi-label learning,multi-instance learning, few-shot learning, incremental learning and zero-shot learning.

Activities

Education and qualifications (3)

University of Electronic Science and Technology of China: Chengdu, Sichuan, CN

2019-09-01 to present | PhD (Computer science and engineering)
Education
Source: Self-asserted source
Zhili Qin

University of Electronic Science and Technology of China: Chengdu, Sichuan, CN

2017-09-01 to 2019-06-30 | Master (Computer science and engineering)
Education
Source: Self-asserted source
Zhili Qin

Hefei University of Technology: Hefei, Anhui, CN

2013-09-01 to 2017-06-30 | Bachelor (Computer science and technology)
Education
Source: Self-asserted source
Zhili Qin

Works (4)

Attribute enhanced random walk for community detection in attributed networks

Neurocomputing
2025-01 | Journal article
Contributors: Zhili Qin; Haoran Chen; Zhongjing Yu; Qinli Yang; Junming Shao
Source: check_circle
Crossref

Rethinking few-shot class-incremental learning: A lazy learning baseline

Expert Systems with Applications
2024-09 | Journal article
Contributors: Zhili Qin; Wei Han; Jiaming Liu; Rui Zhang; Qingli Yang; Zejun Sun; Junming Shao
Source: check_circle
Crossref

Robust graph embedding via Attack-aid Graph Denoising

Information Sciences
2024-09 | Journal article
Contributors: Zhili Qin; Han Wang; Zhongjing Yu; Qinli Yang; Junming Shao
Source: check_circle
Crossref

Unsupervised graph denoising via feature-driven matrix factorization

Information Sciences
2024-03 | Journal article
Contributors: Han Wang; Zhili Qin; Zejun Sun; Qinli Yang; Junming Shao
Source: check_circle
Crossref

Peer review (3 reviews for 1 publication/grant)

Review activity for Information sciences. (3)