Jing Li

Yuangang Pan

Ivor W. Tsang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

PROUD: PaRetO-gUided diffusion model for multi-objective generation.

[BibT_eX]

[DOI]

Mach. Learn., September, 2024

Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, August, 2024

Sanitized clustering against confounding bias.

[BibT_eX]

[DOI]

Mach. Learn., June, 2024

Generative Adversarial Ranking Nets.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Harmless Rawlsian Fairness Regardless of Demographic Prior.

[BibT_eX]

[DOI]

CoRR, 2024

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

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

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

2019

Intrinsic Weight Learning Approach for Multi-view Clustering.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Solid State Drives in modern computing systems.

[BibT_eX]

[DOI]

PhD thesis, 2018

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Directly Solving the Original Ratiocut Problem for Effective Data Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Convex Multiview Semi-Supervised Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Self-weighted Multiview Clustering with Multiple Graphs.

[BibT_eX]

[DOI]

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

Multi-label Learning with Label-Specific Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

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

[BibT_eX]

[DOI]