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2020 – today
- 2024
[j8]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: 108690 (2024)- [j7]Yonghe Zhao, Qiang Huang, Haolong Zeng, Yun Peng, Huiyan Sun:
De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network. Data Min. Knowl. Discov. 38(6): 3783-3804 (2024) - [j6]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): 48:1-48:21 (2024) - [c12]Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang:
Estimating Individual Causal Treatment Effect by Variable Decomposition. IJCNN 2024: 1-10 - [c11]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: 1-4 - [c10]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: 322-334 - [i4]Yonghe Zhao, Huiyan Sun:
A General Causal Inference Framework for Cross-Sectional Observational Data. CoRR abs/2404.18197 (2024) - 2023
- [j5]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): 434-450 (2023) - [c9]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: 622-629 - [c8]Yujie Gu, Huiyan Sun, Yansong Wang, Haobo Shi:
Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. IJCNN 2023: 1-8 - [i3]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 abs/2307.12625 (2023) - [i2]Yonghe Zhao, Qiang Huang, Siwei Wu, Yun Peng, Huiyan Sun:
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference. CoRR abs/2308.00904 (2023) - [i1]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 abs/2308.11676 (2023) - 2022
- [j4]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): 1010529 (2022) - [c7]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: 400-417 - 2021
- [j3]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): 1706-1728 (2021) - [c6]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: 562-567 - [c5]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: 56:1-56:6 - 2020
- [c4]Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang:
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI 2020: 4182-4189 - [c3]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: 108-114
2010 – 2019
- 2019
- [j2]Liang Chen, Liisa Heikkinen, Changliang Wang, Yang Yang, Huiyan Sun, Garry Wong:
Trends in the development of miRNA bioinformatics tools. Briefings Bioinform. 20(5): 1836-1852 (2019) - [j1]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): 273-286 (2019) - [c2]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: 197-201 - 2014
- [c1]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: 480-483
Coauthor Index
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