1 code implementation • Neural Information Processing Systems 2023 AI for Science: from Theory to Practice Workshop 2023 • Rakesh Bal, Yijia Xiao, Wei Wang
Through extensive experimentation, we demonstrate that our proposed approaches outperform the baseline models considered in this study, presenting a compelling case for further development in this direction.
Ranked #1 on on DAVIS-DTA
1 code implementation • 5 Oct 2023 • Yijia Xiao, Dylan Steinecke, Alexander Russell Pelletier, Yushi Bai, Peipei Ping, Wei Wang
Knowledge graphs (KGs) have emerged as a powerful framework for representing and integrating complex biomedical information.
no code implementations • 3 Oct 2023 • Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
To address this challenge, we introduce Privacy Protection Language Models (PPLM), a novel paradigm for fine-tuning LLMs that effectively injects domain-specific knowledge while safeguarding data privacy.
no code implementations • 15 Nov 2021 • ZiYi Yang, Zhaofeng Ye, Yijia Xiao, ChangYu Hsieh, Shengyu Zhang
Drug resistance is a major threat to the global health and a significant concern throughout the clinical treatment of diseases and drug development.
no code implementations • 10 Oct 2021 • Yuyang Zhang, Dik Hin Leung, Min Guo, Yijia Xiao, Haoyue Liu, Yunfei Li, Jiyuan Zhang, Guan Wang, Zhen Chen
Matrix multiplication is the bedrock in Deep Learning inference application.
1 code implementation • 17 Aug 2021 • Yijia Xiao, Jiezhong Qiu, Ziang Li, Chang-Yu Hsieh, Jie Tang
The emergence of deep learning models makes modeling data patterns in large quantities of data possible.