2024
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

2023
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

2022
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