Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights. - Yuexu Jiang; Yan Wang 028; Wei Pang 001; Liang Chen 021; Huiyan Sun; Yanchun Liang 001; Enrico Blanzieri (BIBM, 2014)

Multi-Classification of Cancer Samples Based on Co-Expression Analyses. - Hongyang Jiang 002; Qiang Huang; Liang Chen 021; Zhi Li; Ying Xu 001; Huiyan Sun; Yi Chang 001 (BIBM, 2019)

Trends in the development of miRNA bioinformatics tools. - Liang Chen 021; Liisa Heikkinen; Changliang Wang; Yang Yang; Huiyan Sun; Garry Wong (Briefings Bioinform., 2019)

Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. - Huiyan Sun; Liang Chen 021; Sha Cao; Yanchun Liang 001; Ying Xu 001 (Genom. Proteom. Bioinform., 2019)

Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. - Qiang Huang; Tingyu Xia; Huiyan Sun; Makoto Yamada; Yi Chang 001 (AAAI, 2020)

Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. - Hongyang Jiang 002; Zhihang Wang; Chaoyi Yin; Peishuo Sun; Ying Xu 001; Huiyan Sun (BIBM, 2020)

An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data. - Yingze Xu; Yan Wang 028; Xuping Xie; Feilong Wang; Qiong Chen; Huiyan Sun (BIBM, 2021)

A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network. - Wei Xing; Kangping Wang; Huiyan Sun; Yan Wang 028 (CSAE, 2021)

The bioinformatics toolbox for circRNA discovery and analysis. - Liang Chen 021; Changliang Wang; Huiyan Sun; Juexin Wang; Yanchun Liang 001; Yan Wang 028; Garry Wong (Briefings Bioinform., 2021)

SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. - Qiang Huang; Jing Ma 002; Jundong Li; Huiyan Sun; Yi Chang 001 (ECML/PKDD (4), 2022)

Identification of key somatic oncogenic mutation based on a confounder-free causal inference model. - Yijun Liu; Ji Sun; Huiyan Sun; Yi Chang (PLoS Comput. Biol., 2022)

Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases. - Nan Sheng; Lan Huang 002; Yan Wang 028; Ling Gao; Huiyan Sun; Xuping Xie (BIBM, 2023)

Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. - Yujie Gu; Huiyan Sun; Yansong Wang; Haobo Shi (IJCNN, 2023)

De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network. - Yonghe Zhao; Qiang Huang; Haolong Zeng; Yun Pen; Huiyan Sun (CoRR, 2023)

VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference. - Yonghe Zhao; Qiang Huang; Siwei Wu; Yun Peng; Huiyan Sun (CoRR, 2023)

A Study on the Impact of Non-confounding Covariates on the Inferential Performance of Methods based on the Potential Outcome Framework. - Yonghe Zhao; Shuai Fu; Huiyan Sun (CoRR, 2023)

Gene regulatory network inference based on causal discovery integrating with graph neural network. - Ke Feng; Hongyang Jiang 002; Chaoyi Yin; Huiyan Sun (Quant. Biol., 2023)

Estimating Individual Causal Treatment Effect by Variable Decomposition. - Hongyang Jiang 002; Yonghe Zhao; Qiang Huang; Yangkun Cao; Huiyan Sun; Yi Chang 001 (IJCNN, 2024)

Process optimization and cryogenic evaluation of spin-orbit torque magnetic random access memory. - Zhongkui Zhang; Xiaofei Fan; Danrong Xiong; Huiyan Sun; Xiantao Shang; Bowen Man; Cong Zhang; Shuhui Li; Renjie Su; Chengyuan Sun; Jennifer Zhou; Hongxi Liu; et al. (IMW, 2024)

ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering. - Benjie Zhou; Hongyang Jiang 002; Yuezhu Wang; Yujie Gu; Huiyan Sun (ISBRA (1), 2024)

Identifying cancer prognosis genes through causal learning. - Siwei Wu; Chaoyi Yin; Yuezhu Wang; Huiyan Sun (Briefings Bioinform., 2024)

SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation. - Hongyang Jiang 002; Yuezhu Wang; Chaoyi Yin; Hao Pan; Liqun Chen; Ke Feng; Yi Chang 001; Huiyan Sun (Comput. Biol. Medicine, 2024)

A General Causal Inference Framework for Cross-Sectional Observational Data. - Yonghe Zhao; Huiyan Sun (CoRR, 2024)

Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. - Qiang Huang; Jing Ma 002; Jundong Li; Ruocheng Guo; Huiyan Sun; Yi Chang 001 (ACM Trans. Knowl. Discov. Data, 2024)

De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network. - Yonghe Zhao; Qiang Huang; Haolong Zeng; Yun Peng; Huiyan Sun (Data Min. Knowl. Discov., 2024)

Cancer gene identification through integrating causal prompting large language model with omics data-driven causal inference. - Haolong Zeng; Chaoyi Yin; Chunyang Chai; Yuezhu Wang; Qi Dai; Huiyan Sun (Briefings Bioinform., 2025)