Ying Zhang

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dual-Branch Contrastive Network with Deep Separable Convolution for Enhanced 6mA Site Identification.
J. Chem. Inf. Model.
Youwei Sun, Zhifei Wang, Ying Zhang, Jiangning Song, Dong-Jun Yu
2025 J jnl
Identifying Protein-Nucleotide Binding Residues via Grouped Multi-task Learning and Pre-trained Protein Language Models.
J. Chem. Inf. Model.
Jiashun Wu, Yan Liu, Ying Zhang, Xiaoyu Wang, He Yan, Yiheng Zhu, Jiangning Song, Dong-Jun Yu
2025 J jnl
Integrating Graph Convolutional Networks for Missing Gene Expression Imputation.
IEEE Trans. Comput. Biol. Bioinform.
Ying Zhang, Hong-Jin Yu, Zihao Yan, Tong Pan, Yiwen Zhang, Yan Liu, Shanshan Li, Yuming Guo, Jiangning Song, Dong-Jun Yu
2025 J jnl
MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions.
J. Chem. Inf. Model.
Zihao Yan, Fang Ge, Ying Zhang, He Yan, Yan Liu, Yi-Heng Zhu, Jiangning Song, Dong-Jun Yu
2025 J jnl
SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations.
Genom. Proteom. Bioinform.
Tong Pan, Yue Bi, Xiaoyu Wang, Ying Zhang, Geoffrey I. Webb, Robin B. Gasser, Lukasz A. Kurgan, Jiangning Song
2024 J jnl
BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-Methyladenosine Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yunpeng Xia, Ying Zhang, Dian Liu, Yi-Heng Zhu, Zhikang Wang, Jiangning Song, Dong-Jun Yu
2023 J jnl
Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.
Bioinform.
Ying Zhang, Zhikang Wang, Yiwen Zhang, Shanshan Li, Yuming Guo, Jiangning Song, Dong-Jun Yu
2023 J jnl
Prediction of Multiple Types of RNA Modifications via Biological Language Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ying Zhang, Fang Ge, Fuyi Li, Xibei Yang, Jiangning Song, Dong-Jun Yu
2023 J jnl
SMG: self-supervised masked graph learning for cancer gene identification.
Briefings Bioinform.
Yan Cui, Zhikang Wang, Xiaoyu Wang, Yiwen Zhang, Ying Zhang, Tong Pan, Zhe Zhang, Shanshan Li, Yuming Guo, Tatsuya Akutsu, Jiangning Song
2023 J jnl
SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding.
Comput. Biol. Medicine
Xuan Yu, Jun Hu, Ying Zhang
2022 J jnl
Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion.
Briefings Bioinform.
Fang Ge, Ying Zhang, Jian Xu, Muhammad Arif, Jiangning Song, Dong-Jun Yu
2021 J jnl
Improving protein fold recognition using triplet network and ensemble deep learning.
Briefings Bioinform.
Yan Liu, Ke Han, Yi-Heng Zhu, Ying Zhang, Long-Chen Shen, Jiangning Song, Dong-Jun Yu
2021 J jnl
Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites.
Briefings Bioinform.
Ying Zhang, Yan Liu, Jian Xu, Xiaoyu Wang, Xinxin Peng, Jiangning Song, Dong-Jun Yu
2020 J jnl
A Neural Network Model Compression Approach Based on Deep Feature Map Transfer.
IEEE Access
Zhibo Guo, Xin Yao, Yixuan Xu, Ying Zhang, Linghao Wang
2019 J jnl
A Label-Embedding Online Nonnegative Matrix Factorization Algorithm.
IEEE Access
Zhibo Guo, Ying Zhang
2019 J jnl
Online object tracking by sparse and structural model.
Clust. Comput.
Zhibo Guo, Kejun Lin, Jian Huang, Ying Zhang, Zhengda Cui