Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models.
CoRR, 2024
DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection.
CoRR, 2024
LMCG-Net: Integrating LLMs and ECG for LVEF-Based Classification for Pacing Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation.
CoRR, 2023
MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Deepfake Detection for Facial Images with Facemasks.
CoRR, 2022
Deepfake Detection for Fake Images with Facemasks.
Proceedings of the WDC@AsiaCCS '22: Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes, 2022
A<sup>2</sup>: Adaptive Augmentation for Effectively Mitigating Dataset Bias.
Proceedings of the Computer Vision - ACCV 2022, 2022