1 code implementation • 14 Oct 2024 • Mo Chen, Minsheng Hao, Xuegong Zhang, Lei Wei
To address this gap, we introduce QueST, a novel niche representation learning model designed for querying spatial niches across multiple samples.
1 code implementation • 19 Aug 2024 • Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang
To leverage the advantages of both approaches in molecular property prediction, we propose a novel Molecular Graph representation learning framework that integrates Large language models and Domain-specific small models (MolGraph-LarDo).
no code implementations • 14 May 2024 • Wenrui Li, Wei zhang, Qinghao Zhang, Xuegong Zhang, Xiaowo Wang
Extensive experiments with different datasets demonstrate the superiority of KEEL over several state-of-the-art methods in accuracy, robustness and computational efficiency.
1 code implementation • 26 Feb 2024 • Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv
Considering the NIE problem, LICAP adopts a novel sampling strategy called top nodes preferred hierarchical sampling to first group all interested nodes into a top bin and a non-top bin based on node importance scores, and then divide the nodes within top bin into several finer bins also based on the scores.
1 code implementation • 8 Jan 2024 • Erpai Luo, Minsheng Hao, Lei Wei, Xuegong Zhang
This strategy allows the model to generate continuous trajectories of cell development from a given cell state.
no code implementations • NeurIPS 2023 • Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
Advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions at the single-cell level.
1 code implementation • 7 Feb 2023 • Yifan Sun, Jingyan Shen, Yunfan Jiang, Zhaohui Huang, Minsheng Hao, Xuegong Zhang
The automatic detection of atrial fibrillation based on electrocardiograph (ECG) signals has received wide attention both clinically and practically.
no code implementations • NeurIPS Workshop AI4Scien 2021 • Najeebullah Shah, Jiaqi Li, Fanhong Li, Wenchang Chen, Haoxiang Gao, Sijie Chen, Kui Hua, Xuegong Zhang
The study illustrated the feasibility, significance, and limitation of $\textit{ab initio}$ ML knowledge discovery on complex biological problems.
no code implementations • 6 Dec 2018 • Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang
It can also be used as a data augmentation method to assist studies based on real EMR data.