Yuhang Liu

Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning

Q. Zou, Maocheng Wang, Yongqing Zhang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-Learning

Q. Zou, Maocheng Wang, Yongqing Zhang, 2023, International journal of molecular sciences.

Single-cell TF-DNA binding prediction and analysis based on transfer learning framework

Q. Zou, Yun Yu, Maocheng Wang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Development of a high-temporal resolution neutron flux measurement system for the HL-2M tokamak

G. Yuan, Zhongbing Shi, Min Xu, 2022, Journal of Instrumentation.

Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.

Q. Zou, Beichen Li, Yongqing Zhang, 2023, Methods.

Real-time disruption prediction in the plasma control system of HL-2A based on deep learning

Bo Li, Jinming Gao, Yixuan Li, 2022, Fusion Engineering and Design.

A Unified Deep Learning Framework for Single-Cell ATAC-Seq Analysis Based on ProdDep Transformer Encoder

Q. Zou, Yongqing Zhang, Zixuan Wang, 2023, International journal of molecular sciences.

Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding

Naifeng Wen, Yongqing Zhang, Zixuan Wang, 2023, Bioinformatics.

HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction

Yongqing Zhang, Zixuan Wang, Hao Yuan, 2023, Briefings Bioinform..

Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation

Yongqing Zhang, Zixuan Wang, Yuhang Liu, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).