Haochen Zhao
Orcid: 0009-0007-9234-3594
According to our database1,
Haochen Zhao
authored at least 29 papers
between 2018 and 2024.
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Bibliography
2024
A many-objective optimization-based local tensor factorization model for skin cancer detection.
Concurr. Comput. Pract. Exp., March, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
A game theory based many-objective hybrid tensor decomposition for skin cancer prediction.
Expert Syst. Appl., 2024
Proceedings of the Knowledge Science, Engineering and Management, 2024
DVMPDC: A Deep Learning Model Based on Dual-View Representation and Multi-Strategy Pooling for Predicting Synergistic Drug Combinations.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction Through Knowledge Transfer on Protein Language Model.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
MEMDA: A Multi-similarity Integration Pre-completion Algorithm with Error Correction for Predicting Microbe-Drug Associations.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
2023
Bioinform., September, 2023
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
SCN-MLTPP: A Multi-Label Classifier for Predicting Therapeutic Properties of Peptides Using the Stacked Capsule Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Coarse to Fine Segmentation Method Enables Accurate and Efficient Segmentation of Organs and Tumor in Abdominal CT.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
2022
Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme.
CoRR, 2022
HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism.
Bioinform., 2022
NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks.
Briefings Bioinform., 2022
A similarity-based deep learning approach for determining the frequencies of drug side effects.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks.
Briefings Bioinform., 2022
Uncertainty-aware Mean Teacher Framework with Inception and Squeeze-and-Excitation Block for MICCAI FLARE22 Challenge.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
Focal U-Net: A Focal Self-attention based U-Net for Breast Lesion Segmentation in Ultrasound Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Predicting of microbe-drug associations via a pre-completion-based label propagation algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals.
Bioinform., 2021
A novel graph attention model for predicting frequencies of drug-side effects from multi-view data.
Briefings Bioinform., 2021
2020
A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration.
Comput. Math. Methods Medicine, 2019
2018
A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs.
Comput. Math. Methods Medicine, 2018
BMC Bioinform., 2018