Predicting transcription factor binding sites by a multi-modal representation learning method based on cross-attention network. - Yuxiao Wei; Qi Zhang 126; Liwei Liu 001 (Appl. Soft Comput., 2024)

GraphPro: An interpretable graph neural network-based model for identifying promoters in multiple species. - Qi Zhang 126; Yuxiao Wei; Liwei Liu 001 (Comput. Biol. Medicine, 2024)

MMD-DTA: A Multi-Modal Deep Learning Framework for Drug-Target Binding Affinity and Binding Region Prediction. - Qi Zhang 126; Yuxiao Wei; Bo Liao; Liwei Liu 001; Shengli Zhang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

SSCRB: Predicting circRNA-RBP Interaction Sites Using a Sequence and Structural Feature-Based Attention Model. - Liwei Liu 001; Yuxiao Wei; Qi Zhang 126; Qi Zhao 010 (IEEE J. Biomed. Health Informatics, 2024)

MMF-MCP: A Deep Transfer Learning Model Based on Multimodal Information Fusion for Molecular Feature Extraction and Carcinogenicity Prediction. - Liwei Liu 001; Qi Zhang 126; Yuxiao Wei (J. Chem. Inf. Model., 2025)

MTF-hERG: A Multi-Type Features Fusion-Based Framework for Predicting hERG Cardiotoxicity of Compounds. - Liwei Liu 001; Qi Zhang 126; Yuxiao Wei (IEEE Trans. Comput. Biol. Bioinform., 2025)

The improved de Bruijn graph for multitask learning: predicting functions, subcellular localization, and interactions of noncoding RNAs. - Yuxiao Wei; Qi Zhang 126; Liwei Liu 001 (Briefings Bioinform., 2025)