Zixuan Wang

20 papers B 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive learning in both structure and function spaces improve drug-target interaction prediction.
BMC Bioinform.
Yongqing Zhang, Le Chen, Hong Luo, Tianhao Li, Shuwen Xiong, Zixuan Wang, Quan Zou, Wenqian Zhang
2026 J jnl
Distribution and expression aware retrospective learning for single-cell long-tailed class-incremental annotation.
Appl. Soft Comput.
Tianhao Li, Zixuan Wang, Chenpeng Wu, Zhengxiao Huang, Yixin Xiang, Yuhang Liu, Quan Zou, Naifeng Wen, Yongqing Zhang
2025 J jnl
A Multi-Omics Data Integration Framework for Gene Regulatory Network Inference Based on Contrastive Learning.
IEEE Trans. Comput. Biol. Bioinform.
Yongqing Zhang, Zhigan Zhou, Maocheng Wang, Xinyu Mao, Zixuan Wang, Quan Zou
2025 J jnl
An overview of computational methods in single-cell transcriptomic cell type annotation.
Briefings Bioinform.
Tianhao Li, Zixuan Wang, Yuhang Liu, Sihan He, Quan Zou, Yongqing Zhang
2025 B conf
Distribution and Knowledge Alignment-based Single-cell Multi-omics Cell Type Annotation.
IJCNN
Sihan He, Yongqing Zhang, Zhengxiao Huang, Zixuan Wang, Yuhang Liu, Tianhao Li
2025 J jnl
Supervised pre-training for feature extraction in cell type annotation of single-cell multi-omics data.
Appl. Soft Comput.
Yongqing Zhang, Tianhao Li, Yuhang Liu, Hong Luo, Yugui Xu, Zixuan Wang, Quan Zou
2024 — conf
Cell-Specific Highly Correlated Network for Self-Supervised Distillation in Cell Type Annotation.
BIBM
Tianhao Li, Yugui Xu, Sihan He, Yuhang Liu, Zixuan Wang, Zhigan Zhou, Yongqing Zhang, Quan Zou
2024 J jnl
scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis.
Comput. Biol. Medicine
Meiqin Gong, Yun Yu, Zixuan Wang, Junming Zhang, Xiongyi Wang, Cheng Fu, Yongqing Zhang, Xiaodong Wang
2023 — conf
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation.
BIBM
Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou
2023 J jnl
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency.
Bioinform.
Zixuan Wang, Shuwen Xiong, Yun Yu, Jiliu Zhou, Yongqing Zhang
2023 J jnl
HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction.
Briefings Bioinform.
Yuhang Liu, Zixuan Wang, Hao Yuan, Guiquan Zhu, Yongqing Zhang
2023 — conf
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction.
BIBM
Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou
2023 — conf
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis.
BIBM
Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou
2023 J jnl
Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding.
Bioinform.
Yuhang Liu, Hao Yuan, Qiang Zhang, Zixuan Wang, Shuwen Xiong, Naifeng Wen, Yongqing Zhang
2022 J jnl
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.
Briefings Bioinform.
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou
2022 — conf
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning.
BIBM
Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou
2022 — conf
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework.
BIBM
Zixuan Wang, Yongqing Zhang, Yun Yu, Maocheng Wang, Yuhang Liu, Quan Zou
2022 J jnl
Towards a better understanding of TF-DNA binding prediction from genomic features.
Comput. Biol. Medicine
Zixuan Wang, Meiqin Gong, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Yongqing Zhang
2021 — conf
By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics.
BIBM
Yongqing Zhang, Zixuan Wang, Yuhang Liu, Libo Lu, Xiaoyao Tan, Quan Zou
2021 J jnl
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method.
Briefings Bioinform.
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Jiliu Zhou, Quan Zou