Huiyan Sun
Orcid: 0000-0002-4664-7147
According to our database1,
Huiyan Sun
authored at least 18 papers
between 2014 and 2024.
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Bibliography
2024
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.
ACM Trans. Knowl. Discov. Data, April, 2024
2023
Gene regulatory network inference based on causal discovery integrating with graph neural network.
Quant. Biol., December, 2023
A Study on the Impact of Non-confounding Covariates on the Inferential Performance of Methods based on the Potential Outcome Framework.
CoRR, 2023
CoRR, 2023
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network.
CoRR, 2023
Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense.
Proceedings of the International Joint Conference on Neural Networks, 2023
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Identification of key somatic oncogenic mutation based on a confounder-free causal inference model.
PLoS Comput. Biol., September, 2022
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
2021
Briefings Bioinform., 2021
A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network.
Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021
An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Identification of Cancer Development Related Pathways Based on Co-Expression Analyses.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name.
Genom. Proteom. Bioinform., 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2014
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014