Liyuan Gao — accepted AI-conference papers

2024

Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract)

Liyuan Gao, Matthew Zhang, Victor S. Sheng

AAAI 2024technical

Transcription factors (TFs) play a fundamental role in gene regulation by selectively binding to specific DNA sequences. Understanding the nature and behavior of these TFs is essential for insights into gene regulation dynamics. In this study, we introduce a robust multi-task learning framework spec…

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2023

Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract)

Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng

AAAI 2023technical

Deep learning models have shown great performances in natural language processing tasks. While much attention has been paid to improvements in utility, privacy leakage and social bias are two major concerns arising in trained models. In order to tackle these problems, we protect individuals' sensiti…

Cited by 3 Source ↗PDF ↗Scholar ↗