Compositional Attribute Imbalance in Vision Datasets.
CoRR, June, 2025
Predicting and Enhancing the Fairness of DNNs With the Curvature of Perceptual Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025
Unveiling and Mitigating Generalized Biases of DNNs Through the Intrinsic Dimensions of Perceptual Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2025
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.
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CoRR, March, 2025
Revealing Bias Formation in Deep Neural Networks Through the Geometric Mechanisms of Human Visual Decoupling.
CoRR, February, 2025
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification.
IEEE Access, 2025
Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification.
Int. J. Comput. Vis., July, 2024
Feature Distribution Representation Learning Based on Knowledge Transfer for Long-Tailed Classification.
IEEE Trans. Multim., 2024
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification.
CoRR, 2024
Data-Centric Long-Tailed Image Recognition.
CoRR, 2023
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Delving into Semantic Scale Imbalance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity.
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IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
An Explainable Diagnostic Method for Autism Spectrum Disorder Using Neural Network.
J. Inf. Sci. Eng., 2021
Multisource Data Fusion for the Detection of Settlements Without Electricity.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Comparison of Neural Networks' Performance in Early Screening of Autism Spectrum Disorders Under Two MRI Principles.
Proceedings of the 2019 International Conference on Networking and Network Applications, 2019