Tingjin Luo

Orcid: 0000-0002-8171-3971

According to our database¹, Tingjin Luo authored at least 33 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Absent Multiview Semisupervised Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., March, 2024

Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model.

[BibT_eX]

[DOI]

Appl. Intell., February, 2024

Compound Weakly Supervised Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Deep Incomplete Multi-View Learning Network with Insufficient Label Information.

[BibT_eX]

[DOI]

Zhangqi Jiang

Tingjin Luo

Xinyan Liang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Online Learning With Incremental Feature Space and Bandit Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

Active label distribution learning via kernel maximum mean discrepancy.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., August, 2023

Debiased Scene Graph Generation for Dual Imbalance Learning.

[BibT_eX]

[DOI]

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

Semi-Supervised Learning With Label Proportion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Incomplete Multi-View Learning Under Label Shift.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Joint Distribution Alignment and Transfer Subspace Learning for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Yueying Liu

Tingjin Luo

Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022

Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

A unified deep sparse graph attention network for scene graph generation.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Safe incomplete label distribution learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multi-instance positive and unlabeled learning with bi-level embedding.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

2021

Active label distribution learning.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Multiple Instance Learning for Unilateral Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Relationship-Aware Primal-Dual Graph Attention Network For Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Multi-view subspace learning via bidirectional sparsity.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Multi-View Spectral Clustering With Incomplete Graphs.

[BibT_eX]

[DOI]

IEEE Access, 2020

Optimal Representative Distribution Margin Machine for Multi-Instance Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Bi-direction hierarchical LSTM with spatial-temporal attention for action recognition.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2019

Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Non-Convex Transfer Subspace Learning for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Robust feature selection via simultaneous sapped norm and sparse regularizer minimization.

[BibT_eX]

[DOI]

Neurocomputing, 2018

2017

2D Feature Selection by Sparse Matrix Regression.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Nonconvex One-bit Single-label Multi-label Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Robust Self-Tuning Sparse Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Discriminative orthogonal elastic preserving projections for classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Tingjin Luo

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