Haitao Fu

8PUBLICATIONS
15CO-AUTHORS
Deep learningCheminformatics and quantitative structure-activity relationshipsBiomolecular modelling and designMolecular targetsEpigenetics (incl. genome methylation and epigenomics)
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Publications (8)

|Sep 15, 2026
MSGRL: A Motif-Driven Self-Supervised Graph Representation Learning Framework for Interpretable Molecular Property Prediction.

|Dec 09, 2025
DistRMI: a deep distance-aware neural network for explainable RNA loop motif-small molecule interaction prediction.

Zhaoxiang Liu, Qiqi Zhu, Qingyan Tian

|Jun 26, 2025
Bio-Inspired Mamba for Antibody-Antigen Interaction Prediction.

Xuan Liu, Haitao Fu, Yuqing Yang

|Aug 29, 2024
Multiview representation learning for identification of novel cancer genes and their causative biological mechanisms.

Jianye Yang, Haitao Fu, Feiyang Xue

|Aug 18, 2023
HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Shen Han, Haitao Fu, Yuyang Wu

|Nov 17, 2021
Defective chromatin architectures in embryonic stem cells derived from somatic cell nuclear transfer impair their differentiation potentials.

Dan-Ya Wu, Xinxin Li, Qiao-Ran Sun

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Frequent Collaborators

2 joint publications

Cheng Peng

2 joint publications

Yi-Liang Miao

1 joint publications

Feng Huang

1 joint publications

Shen Han