Tingjin Luo
Orcid: 0000-0002-8171-3971
According to our database1,
Tingjin Luo
authored at least 40 papers
between 2016 and 2025.
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Bibliography
2025
Imbalanced multi-instance multi-label learning via tensor product-based semantic fusion.
Frontiers Comput. Sci., August, 2025
Nonconvex and discriminative transfer subspace learning for unsupervised domain adaptation.
Frontiers Comput. Sci., February, 2025
Dynamic collaborative learning with heterogeneous knowledge transfer for long-tailed visual recognition.
Inf. Fusion, 2025
2024
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model.
Appl. Intell., February, 2024
Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens.
CoRR, 2024
Imbalanced Multi-instance Multi-label Learning via Coding Ensemble and Adaptive Thresholds.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Deep Incomplete Multi-View Network Semi-Supervised Multi-Label Learning with Unbiased Loss.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias.
Neurocomputing, September, 2023
Frontiers Comput. Sci., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Joint Distribution Alignment and Transfer Subspace Learning for Unsupervised Domain Adaptation.
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.
IEEE Trans. Knowl. Data Eng., 2022
Pattern Recognit., 2022
Intell. Data Anal., 2022
2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
2020
IEEE Access, 2020
2019
IEEE Trans. Cybern., 2019
Bi-direction hierarchical LSTM with spatial-temporal attention for action recognition.
J. Intell. Fuzzy Syst., 2019
Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap.
Neurocomputing, 2019
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.
IEEE Trans. Knowl. Data Eng., 2018
Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition.
IEEE Trans. Knowl. Data Eng., 2018
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization.
Neurocomputing, 2018
2017
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
2016
Neurocomputing, 2016