Shuwen Xiong

17 papers B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Modal Contrastive Learning Framework for Cyclic Peptide Permeability Prediction.
IEEE Trans. Comput. Biol. Bioinform.
Shuwen Xiong, Feifei Cui, Zilong Zhang, Rao Zeng, Ran Su, Leyi Wei
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
PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction.
J. Cheminformatics
Changhang Lin, Shuwen Xiong, Jinjin Li, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei
2026 J jnl
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data.
Neural Networks
Junming Zhang, Shuwen Xiong, Yugui Xu, Yongqing Zhang
2025 J jnl
Deep Learning in Antimicrobial Peptide Prediction.
J. Chem. Inf. Model.
Changhang Lin, Shuwen Xiong, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei
2025 B conf
Enhancing Drug Synergy Prediction via flexible Fusion of Multimodal Heterogeneous Data.
IJCNN
Yugui Xu, Hao Yuan, Xinyu Mao, Zhigan Zhou, Yuhang Liu, Shuwen Xiong, Zixuan Wang, Yongqing Zhang
2025 J jnl
Integrating Protein Language Models and Geometric Deep Learning for Peptide Toxicity Prediction.
J. Chem. Inf. Model.
Yanling Wang, Na Li, Xiao Wang, Feng Cao, Shuwen Xiong, Leyi Wei
2025 J jnl
MMGCSyn: Explainable synergistic drug combination prediction based on multimodal fusion.
Future Gener. Comput. Syst.
Yongqing Zhang, Hao Yuan, Yuhang Liu, Shuwen Xiong, Zhigan Zhou, Yugui Xu, Xinyu Mao, Meiqin Gong
2025 J jnl
NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks.
J. Chem. Inf. Model.
Jinjin Li, Shuwen Xiong, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei
2025 J jnl
UMPPI: Unveiling Multilevel Protein-Peptide Interaction Prediction via Language Models.
J. Chem. Inf. Model.
Shuwen Xiong, Jiajie Cai, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei
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 — 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 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