Xiangxiang Zeng

Hong Kong Baptist University — Hong Kong

Computer Science · Physical Sciences

65h-index16.8kcitations361works14.42yr avg
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Research Topics

Computational Drug Discovery Methods(119), DNA and Biological Computing(68), Advanced biosensing and bioanalysis techniques(60), Bioinformatics and Genomic Networks(59), Machine Learning in Materials Science(57)

Publications361 total

MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer
Briefings in Bioinformatics·2025· 1 citedOpen Access
MicroEnvPPI: Microenvironment-Aware Optimization Enables Generalizable Protein–Protein Interaction Prediction
Journal of Chemical Information and Modeling·2025
ZeroGEN: leveraging language models for zero-shot ligand design from protein sequences
Bioinformatics·2025Open Access
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
arXiv (Cornell University)·2025Open Access
Predicting Drug–Drug Interaction via Dual-Drug Visual Representation
Journal of Chemical Information and Modeling·2025
An image-based protein–ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training
Bioinformatics·2025Open Access
MaskMol: knowledge-guided molecular image pre-training framework for activity cliffs with pixel masking
BMC Biology·2025· 2 citedOpen Access
HyperACP: A cutting-edge hybrid framework for anticancer peptide classification via scalable feature extraction and adaptive neighbor-based synthesis
PLoS Computational Biology·2025Open Access
PreRBP: Interpretable deep learning for RNA-protein binding site prediction with attention mechanism
Analytical Biochemistry·2025
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
2025· 2 cited
Electron Density-enhanced Molecular Geometry Learning
2025
Cross-Cancer Knowledge Transfer in WSI-based Prognosis Prediction
arXiv (Cornell University)·2025Open Access
ImageDDI: Image-enhanced molecular motif sequence representation for drug–drug interaction prediction
Information Fusion·2025· 4 cited
PreAIS: Prediction of A-to-I editing sites based on DNN-CNN deep learning models
Computational Biology and Chemistry·2025· 2 cited
Inductive‐Associative Meta‐learning Pipeline with Human Cognitive Patterns for Unseen Drug‐Target Interaction Prediction
Advanced Science·2025Open Access
GraphGIM: rethinking molecular graph contrastive learning via geometry image modeling
BMC Biology·2025· 1 citedOpen Access
CMOMO: a deep multi-objective optimization framework for constrained molecular multi-property optimization
Briefings in Bioinformatics·2025· 1 citedOpen Access
Self-supervised learning in drug discovery
Science China Information Sciences·2025· 12 cited
Discovery of EP4 antagonists with image-guided explainable deep learning workflow
National Science Open·2025Open Access
Wireless spiking neural P systems
Journal of Membrane Computing·2025· 1 citedOpen Access
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Frequent Co-authors

Quan Zou(15), Feixiong Cheng(8), Ruth Nussinov(7), Xiangrong Liu(6), Xiangzheng Fu(4), Lijun Cai(4), Dongsheng Cao(3), Siyi Zhu(3), Yadi Zhou(3), Xuan Lin(3), Tengfei Ma(3), Yuansheng Liu(3), Yansen Su(3), Yuansheng Liu(3), Bosheng Song(3), Yajie Meng(3), Changcheng Lu(3), Xingyi Zhang(3), Alfonso Rodríguez‐Patón(3), Zhenhua Wu(2)