Jing Li

Orcid: 0000-0001-7584-1240

Affiliations:

Northwestern Polytechnical University, School of Computer Science, Center for Optical Imagery Analysis and Learning, Xi'an, China

According to our database¹, Jing Li authored at least 14 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Article

PhD thesis

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Bibliography

2023

Earning Extra Performance From Restrictive Feedbacks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Revisiting model fairness via adversarial examples.

[BibT_eX]

[DOI]

Knowl. Based Syst., October, 2023

Implicit Weight Learning for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Fairness in graph-based semi-supervised learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., February, 2023

Sanitized Clustering against Confounding Bias.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

2021

Taming Overconfident Prediction on Unlabeled Data from Hindsight.

[BibT_eX]

[DOI]

Jing Li

Yuangang Pan

Ivor W. Tsang

CoRR, 2021

2020

Secure Metric Learning via Differential Pairwise Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

Fairness Constraints in Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Solid State Drives in modern computing systems.

[BibT_eX]

[DOI]

Jing Li

PhD thesis, 2018

Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

2017

Convex Multiview Semi-Supervised Classification.

[BibT_eX]

[DOI]

Feiping Nie

Jing Li

Xuelong Li

IEEE Trans. Image Process., 2017

Self-weighted Multiview Clustering with Multiple Graphs.

[BibT_eX]

[DOI]

Feiping Nie

Jing Li

Xuelong Li

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification.

[BibT_eX]

[DOI]

Feiping Nie

Jing Li

Xuelong Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Jing Li

Timeline

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