Huiyan Sun

27 papers A* 1B 2Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Biological Regulatory Network Inference through Circular Causal Structure Learning.
CoRR
Hongyang Jiang, Yuezhu Wang, Ke Feng, Chaoyi Yin, Yi Chang, Huiyan Sun
2025 J jnl
Cancer gene identification through integrating causal prompting large language model with omics data-driven causal inference.
Briefings Bioinform.
Haolong Zeng, Chaoyi Yin, Chunyang Chai, Yuezhu Wang, Qi Dai, Huiyan Sun
2025 J jnl
Identifying cancer prognosis genes through causal learning.
Briefings Bioinform.
Siwei Wu, Chaoyi Yin, Yuezhu Wang, Huiyan Sun
2024 J jnl
A General Causal Inference Framework for Cross-Sectional Observational Data.
CoRR
Yonghe Zhao, Huiyan Sun
2024 J jnl
De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network.
Data Min. Knowl. Discov.
Yonghe Zhao, Qiang Huang, Haolong Zeng, Yun Peng, Huiyan Sun
2024 B conf
Estimating Individual Causal Treatment Effect by Variable Decomposition.
IJCNN
Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang
2024 J jnl
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.
ACM Trans. Knowl. Discov. Data
Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
2024 — conf
Process optimization and cryogenic evaluation of spin-orbit torque magnetic random access memory.
IMW
Zhongkui Zhang, Xiaofei Fan, Danrong Xiong, Huiyan Sun, Xiantao Shang, Bowen Man, Cong Zhang, Shuhui Li, Renjie Su, Chengyuan Sun, Jennifer Zhou, Hongxi Liu, Gefei Wang
2024 J jnl
SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation.
Comput. Biol. Medicine
Hongyang Jiang, Yuezhu Wang, Chaoyi Yin, Hao Pan, Liqun Chen, Ke Feng, Yi Chang, Huiyan Sun
2024 — conf
ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering.
ISBRA (1)
Benjie Zhou, Hongyang Jiang, Yuezhu Wang, Yujie Gu, Huiyan Sun
2023 J jnl
A Study on the Impact of Non-confounding Covariates on the Inferential Performance of Methods based on the Potential Outcome Framework.
CoRR
Yonghe Zhao, Shuai Fu, Huiyan Sun
2023 — conf
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.
BIBM
Nan Sheng, Lan Huang, Yan Wang, Ling Gao, Huiyan Sun, Xuping Xie
2023 J jnl
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network.
CoRR
Yonghe Zhao, Qiang Huang, Haolong Zeng, Yun Pen, Huiyan Sun
2023 J jnl
Gene regulatory network inference based on causal discovery integrating with graph neural network.
Quant. Biol.
Ke Feng, Hongyang Jiang, Chaoyi Yin, Huiyan Sun
2023 B conf
Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense.
IJCNN
Yujie Gu, Huiyan Sun, Yansong Wang, Haobo Shi
2023 J jnl
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference.
CoRR
Yonghe Zhao, Qiang Huang, Siwei Wu, Yun Peng, Huiyan Sun
2022 J jnl
Identification of key somatic oncogenic mutation based on a confounder-free causal inference model.
PLoS Comput. Biol.
Yijun Liu, Ji Sun, Huiyan Sun, Yi Chang
2022 — conf
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.
ECML/PKDD (4)
Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang
2021 — conf
A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network.
CSAE
Wei Xing, Kangping Wang, Huiyan Sun, Yan Wang
2021 — conf
An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data.
BIBM
Yingze Xu, Yan Wang, Xuping Xie, Feilong Wang, Qiong Chen, Huiyan Sun
2021 J jnl
The bioinformatics toolbox for circRNA discovery and analysis.
Briefings Bioinform.
Liang Chen, Changliang Wang, Huiyan Sun, Juexin Wang, Yanchun Liang, Yan Wang, Garry Wong
2020 — conf
Identification of Cancer Development Related Pathways Based on Co-Expression Analyses.
BIBM
Hongyang Jiang, Zhihang Wang, Chaoyi Yin, Peishuo Sun, Ying Xu, Huiyan Sun
2020 A* conf
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks.
AAAI
Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang
2019 — conf
Multi-Classification of Cancer Samples Based on Co-Expression Analyses.
BIBM
Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang
2019 J jnl
Trends in the development of miRNA bioinformatics tools.
Briefings Bioinform.
Liang Chen, Liisa Heikkinen, Changliang Wang, Yang Yang, Huiyan Sun, Garry Wong
2019 J jnl
Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name.
Genom. Proteom. Bioinform.
Huiyan Sun, Liang Chen, Sha Cao, Yanchun Liang, Ying Xu
2014 — conf
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights.
BIBM
Yuexu Jiang, Yan Wang, Wei Pang, Liang Chen, Huiyan Sun, Yanchun Liang, Enrico Blanzieri