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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 19 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
PROUD: PaRetO-gUided diffusion model for multi-objective generation.
[BibTeX]
[DOI]
Yinghua Yao
,
Yuangang Pan
,
Jing Li
,
Ivor W. Tsang
,
Xin Yao
Mach. Learn., September, 2024

Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection.
[BibTeX]
[DOI]
Kai Wang
,
Xiang Lei
,
Wenxuan Zhou
,
Saige Cheng
,
Jing Li
IEEE Trans. Ind. Informatics, August, 2024

Sanitized clustering against confounding bias.
[BibTeX]
[DOI]
Yinghua Yao
,
Yuangang Pan
,
Jing Li
,
Ivor W. Tsang
,
Xin Yao
Mach. Learn., June, 2024

Generative Adversarial Ranking Nets.
[BibTeX]
[DOI]
Yinghua Yao
,
Yuangang Pan
,
Jing Li
,
Ivor W. Tsang
,
Xin Yao
J. Mach. Learn. Res., 2024

2023
Earning Extra Performance From Restrictive Feedbacks.
[BibTeX]
[DOI]
Jing Li
,
Yuangang Pan
,
Yueming Lyu
,
Yinghua Yao
,
Yulei Sui
,
Ivor W. Tsang
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Revisiting model fairness via adversarial examples.
[BibTeX]
[DOI]
Tao Zhang
,
Tianqing Zhu
,
Jing Li
,
Wanlei Zhou
,
Philip S. Yu
Knowl. Based Syst., October, 2023

Implicit Weight Learning for Multi-View Clustering.
[BibTeX]
[DOI]
Feiping Nie
,
Shaojun Shi
,
Jing Li
,
Xuelong Li
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Fairness in graph-based semi-supervised learning.
[BibTeX]
[DOI]
Tao Zhang
,
Tianqing Zhu
,
Mengde Han
,
Fengwen Chen
,
Jing Li
,
Wanlei Zhou
,
Philip S. Yu
Knowl. Inf. Syst., February, 2023

2022
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination.
[BibTeX]
[DOI]
Tao Zhang
,
Tianqing Zhu
,
Jing Li
,
Mengde Han
,
Wanlei Zhou
,
Philip S. Yu
IEEE Trans. Knowl. Data Eng., 2022

2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight.
[BibTeX]
[DOI]
Jing Li
,
Yuangang Pan
,
Ivor W. Tsang
CoRR, 2021

2020
Secure Metric Learning via Differential Pairwise Privacy.
[BibTeX]
[DOI]
Jing Li
,
Yuangang Pan
,
Yulei Sui
,
Ivor W. Tsang
IEEE Trans. Inf. Forensics Secur., 2020

Fairness Constraints in Semi-supervised Learning.
[BibTeX]
[DOI]
Tao Zhang
,
Tianqing Zhu
,
Mengde Han
,
Jing Li
,
Wanlei Zhou
,
Philip S. Yu
CoRR, 2020

2019
Intrinsic Weight Learning Approach for Multi-view Clustering.
[BibTeX]
[DOI]
Feiping Nie
,
Jing Li
,
Xuelong Li
CoRR, 2019

2018
Solid State Drives in modern computing systems.
[BibTeX]
[DOI]
Jing Li
PhD thesis, 2018

Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.
[BibTeX]
[DOI]
Feiping Nie
,
Guohao Cai
,
Jing Li
,
Xuelong Li
IEEE Trans. Image Process., 2018

Directly Solving the Original Ratiocut Problem for Effective Data Clustering.
[BibTeX]
[DOI]
Jing Li
,
Feiping Nie
,
Xuelong Li
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Convex Multiview Semi-Supervised Classification.
[BibTeX]
[DOI]
Feiping Nie
,
Jing Li
,
Xuelong Li
IEEE Trans. Image Process., 2017

Self-weighted Multiview Clustering with Multiple Graphs.
[BibTeX]
[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.
[BibTeX]
[DOI]
Feiping Nie
,
Jing Li
,
Xuelong Li
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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