Yan Liu

30 papers B 1Journal 28Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning.
PLoS Comput. Biol.
Yan Liu, Yu Xia, He Yan, Long-Chen Shen, Yiheng Zhu, Ji-Peng Qiang, Guo Wei
2026 J jnl
Dualmark: A novel dual watermarking approach for large language models.
Inf. Process. Manag.
Zihao Qiang, Jifei Hao, Jipeng Qiang, Yi Zhu, Chaowei Zhang, Yan Liu, Wei Li
2026 J jnl
Progressive Document-level Text Simplification via Large Language Models.
New Gener. Comput.
Dengzhao Fang, Jipeng Qiang, Yi Zhu, Yunhao Yuan, Wei Li, Yan Liu
2025 J jnl
Identification of Protein-Nucleotide Binding Residues With Deep Multi-Task and Multi-Scale Learning.
IEEE J. Biomed. Health Informatics
Jiashun Wu, Fang Ge, Shanruo Xu, Yan Liu, 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
MUSIC-GCN: A Novel Multi-Tasking Pipeline for Analyzing Single-Cell Transcriptomic Data Using Residual Graph Convolution Network.
IEEE Trans. Comput. Biol. Bioinform.
Yan Liu, Guo Wei, Jia-Shun Wu, Chen Li, He Yan, Long-Chen Shen, Robin B. Gasser, Jiangning Song, Dijun Chen, Dong-Jun Yu
2025 J jnl
Progressive Document-level Text Simplification via Large Language Models.
CoRR
Dengzhao Fang, Jipeng Qiang, Yi Zhu, Yun-Hao Yuan, Wei Li, Yan Liu
2025 J jnl
Supervised contrastive learning enhances MHC-II peptide binding affinity prediction.
Expert Syst. Appl.
Long-Chen Shen, Yan Liu, Zi Liu, Yumeng Zhang, Zhikang Wang, Yuming Guo, Jamie Rossjohn, Jiangning Song, Dong-Jun Yu
2025 J jnl
scRCA: A Siamese network-based pipeline for annotating cell types using noisy single-cell RNA-seq reference data.
Comput. Biol. Medicine
Yan Liu, Chen Li, Long-Chen Shen, He Yan, Guo Wei, Robin B. Gasser, Xiaohua Hu, Jiangning Song, Dong-Jun Yu
2024 J jnl
CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data.
Bioinform.
Xiao Wang, Ziyi Chai, Shaohua Li, Yan Liu, Chen Li, Yu Jiang, Quanzhong Liu
2024 J jnl
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.
Briefings Bioinform.
Shuo Li, Yan Liu, Long-Chen Shen, He Yan, Jiangning Song, Dong-Jun Yu
2024 J jnl
Improving Antifreeze Proteins Prediction With Protein Language Models and Hybrid Feature Extraction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiashun Wu, Yan Liu, Yiheng Zhu, Dong-Jun Yu
2024 J jnl
Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network.
Comput. Biol. Medicine
Jia-Shun Wu, Yan Liu, Fang Ge, Dong-Jun Yu
2024 J jnl
Robust GEPSVM classifier: An efficient iterative optimization framework.
Inf. Sci.
He Yan, Yan Liu, Yanmeng Li, Qiaolin Ye, Dong-Jun Yu, Yong Qi
2024 J jnl
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion.
J. Chem. Inf. Model.
Zihao Yan, Fang Ge, Yan Liu, Yumeng Zhang, Fuyi Li, Jiangning Song, Dong-Jun Yu
2024 J jnl
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.
Briefings Bioinform.
Yi-Heng Zhu, Zi Liu, Yan Liu, Zhiwei Ji, Dong-Jun Yu
2023 J jnl
Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation.
J. Chem. Inf. Model.
Yan Liu, He Yan, Long-Chen Shen, Dong-Jun Yu
2023 J jnl
TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
Briefings Bioinform.
Yan Liu, Guo Wei, Chen Li, Long-Chen Shen, Robin B. Gasser, Jiangning Song, Dijun Chen, Dong-Jun Yu
2022 J jnl
Enhancing Characteristic Gene Selection and Tumor Classification by the Robust Laplacian Supervised Discriminative Sparse PCA.
J. Chem. Inf. Model.
Lu-Xing Zhang, He Yan, Yan Liu, Jian Xu, Jiangning Song, Dong-Jun Yu
2022 J jnl
Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning.
J. Chem. Inf. Model.
Guan-Yu Zhu, Yan Liu, Peng-Hao Wang, Xibei Yang, Dong-Jun Yu
2022 J jnl
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction.
Genom. Proteom. Bioinform.
Yi-Heng Zhu, Chengxin Zhang, Yan Liu, Gilbert S. Omenn, P. L. Freddolino, Dong-Jun Yu, Yang Zhang
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
2021 J jnl
SAResNet: self-attention residual network for predicting DNA-protein binding.
Briefings Bioinform.
Long-Chen Shen, Yan Liu, Jiangning Song, Dong-Jun Yu
2021 J jnl
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.
Briefings Bioinform.
Yan Liu, Yi-Heng Zhu, Xiaoning Song, Jiangning Song, Dong-Jun Yu
2019 J jnl
A New Robust Deep Canonical Correlation Analysis Algorithm for Small Sample Problems.
IEEE Access
Yan Liu, Yun Li, Yunhao Yuan, Hui Zhang
2019 J jnl
A simple and effective postprocessing method for image classification.
CoRR
Yan Liu, Yun Li, Yunhao Yuan, Jipeng Qiang
2018 B conf
A Complete Canonical Correlation Analysis for Multiview Learning.
ICIP
Yan Liu, Yun Li, Yunhao Yuan
2017 — conf
Supervised Deep Canonical Correlation Analysis for Multiview Feature Learning.
ICONIP (6)
Yan Liu, Yun Li, Yunhao Yuan, Ji-Peng Qiang, Min Ruan, Zhao Zhang