Haitao Fu
Orcid: 0000-0001-9673-6845
According to our database1,
Haitao Fu
authored at least 13 papers
between 2008 and 2024.
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Bibliography
2024
2023
HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.
Briefings Bioinform., September, 2023
Frontiers Neurorobotics, August, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Proceedings of the IEEE European Test Symposium, 2023
2022
Hierarchical graph representation learning for the prediction of drug-target binding affinity.
Inf. Sci., 2022
MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks.
Bioinform., 2022
GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.
Briefings Bioinform., 2022
2021
Proceedings of the IEEE International Test Conference in Asia, 2021
A robust drug representation learning model for eliminating cell specificity in gene expression profile and its application.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2009
Modulation Classification Based on Cyclic Spectral Features for Co-Channel Time-Frequency Overlapped Two-Signal.
Proceedings of the 2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009
2008
J. Circuits Syst. Comput., 2008