Huiyan Sun

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Feature Selection

Breast Cancer Patients

Observational Data

Top Venues

Briefings Bioinform.

Publications

Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Benjie Zhou, Hongyang Jiang, Yuezhu Wang, Yujie Gu, Huiyan Sun
ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering. ISBRA (1) (2024)
Hongyang Jiang, Yuezhu Wang, Chaoyi Yin, Hao Pan, Liqun Chen, Ke Feng, Yi Chang, Huiyan Sun
SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation. Comput. Biol. Medicine 178 (2024)
Yonghe Zhao, Huiyan Sun
A General Causal Inference Framework for Cross-Sectional Observational Data. CoRR (2024)
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
Process optimization and cryogenic evaluation of spin-orbit torque magnetic random access memory. IMW (2024)
Yonghe Zhao, Qiang Huang, Siwei Wu, Yun Peng, Huiyan Sun
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference. CoRR (2023)
Yujie Gu, Huiyan Sun, Yansong Wang, Haobo Shi
Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. IJCNN (2023)
Yonghe Zhao, Shuai Fu, Huiyan Sun
A Study on the Impact of Non-confounding Covariates on the Inferential Performance of Methods based on the Potential Outcome Framework. CoRR (2023)
Nan Sheng, Lan Huang, Yan Wang, Ling Gao, Huiyan Sun, Xuping Xie
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases. BIBM (2023)
Yonghe Zhao, Qiang Huang, Haolong Zeng, Yun Pen, Huiyan Sun
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network. CoRR (2023)
Ke Feng, Hongyang Jiang, Chaoyi Yin, Huiyan Sun
Gene regulatory network inference based on causal discovery integrating with graph neural network. Quant. Biol. 11 (4) (2023)
Yijun Liu, Ji Sun, Huiyan Sun, Yi Chang
Identification of key somatic oncogenic mutation based on a confounder-free causal inference model. PLoS Comput. Biol. 18 (9) (2022)
Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. ECML/PKDD (4) (2022)
Yingze Xu, Yan Wang, Xuping Xie, Feilong Wang, Qiong Chen, Huiyan Sun
An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data. BIBM (2021)
Liang Chen, Changliang Wang, Huiyan Sun, Juexin Wang, Yanchun Liang, Yan Wang, Garry Wong
The bioinformatics toolbox for circRNA discovery and analysis. Briefings Bioinform. 22 (2) (2021)
Wei Xing, Kangping Wang, Huiyan Sun, Yan Wang
A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network. CSAE (2021)
Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI (2020)
Hongyang Jiang, Zhihang Wang, Chaoyi Yin, Peishuo Sun, Ying Xu, Huiyan Sun
Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. BIBM (2020)
Liang Chen, Liisa Heikkinen, Changliang Wang, Yang Yang, Huiyan Sun, Garry Wong
Trends in the development of miRNA bioinformatics tools. Briefings Bioinform. 20 (5) (2019)
Huiyan Sun, Liang Chen, Sha Cao, Yanchun Liang, Ying Xu
Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. Genom. Proteom. Bioinform. 17 (3) (2019)
Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang
Multi-Classification of Cancer Samples Based on Co-Expression Analyses. BIBM (2019)
Yuexu Jiang, Yan Wang, Wei Pang, Liang Chen, Huiyan Sun, Yanchun Liang, Enrico Blanzieri
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights. BIBM (2014)