no code implementations • 3 Feb 2024 • Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye
Transfer learning has become a pivotal technique in machine learning and has proven to be effective in various real-world applications.
no code implementations • 28 Dec 2023 • Haitao Jiang, Lin Ge, Yuhe Gao, Jianian Wang, Rui Song
Large Language Models (LLMs) have shown their success in language understanding and reasoning on general topics.
1 code implementation • 12 Oct 2023 • Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
These methods typically presuppose identical feature spaces and label spaces in both domains, known as homogeneous transfer learning, which, however, is not always a practical assumption.
no code implementations • 29 Jun 2023 • Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye
Results showed that the Multi-DANN models outperformed the Single-DANN models and baseline models in predicting revisits of COVID-19 patients to the ER within 7 days after discharge.
no code implementations • 3 Jan 2023 • Yuhe Gao, Chengchun Shi, Rui Song
Dynamic treatment regimes assign personalized treatments to patients sequentially over time based on their baseline information and time-varying covariates.
no code implementations • 3 Oct 2018 • Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu
The reconfigurability, energy-efficiency, and massive parallelism on FPGAs make them one of the best choices for implementing efficient deep learning accelerators.