Huiyan Sun+, Yi Zhou+, Michael Francis Skaro, Yiran Wu, Zexing Qu, Fenglou Mao, Suwen Zhao, Ying Xu*. (2020). Metabolic Reprogramming in Cancer is Induced to Increase Proton Production. Cancer Research, DOI: 10.1158/0008-5472.CAN-19-3392.
Yi Zhou+, Huiyan Sun+, Ying Xu*. (2020). Metabolic reprogramming in cancer: The bridge that connects intracellular stresses and cancer behaviors. National Science Review 7(8):1270-1273.
Huiyan Sun, Liang Chen, Sha Cao, Yanchun Liang, Ying Xu*. (2019). Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. Genomics, Proteomics & Bioinformatics,17(3).
Huiyan Sun, Chi Zhang, Sha Cao, Tao Sheng, Ning Dong, Ying Xu*. (2018). Fenton reactions drive nucleotide and ATP syntheses in cancer, Journal of Molecular Cell Biology,10(5):448-459.
Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun*, Yi Chang*. (2023). Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. ACM Transactions on Knowledge Discovery from Data, doi.org/10.1145/3628449
Ke Feng, Hongyang Jiang, Chaoyi Yin, Huiyan Sun*. (2023).Gene regulatory network inference based on causal discovery integrating with graph neural network. Quantitative Biology.
Yujie Gu, Huiyan Sun*, Yansong Wang, Haobo Shi. (2023). Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. International Joint Conference on Neural Networks IJCNN 2023
Yijun Liu, Fuhu Song, Zhi Li, Liang Chen, Ying Xu, Huiyan Sun*, Yi Chang*.(2023). DBPOM: a comprehensive database of pharmaco-omics for cancer precision medicine. Frontiers in Pharmacology, 14, 32
Hongzhi Song, Chaoyi Yin, Z Li, Ke Feng, Yangkun Cao, Yujie Gu, Huiyan Sun*(2023). Identification of Cancer Driver Genes by Integrating Multi-omics Data with Graph Neural Networks. Metabolites 13 (3), 339
Yijun Liu, Ji Sun, Huiyan Sun*, Yi Chang*.(2022). Identification of key somatic oncogenic mutation based on a confounder-free causal inference model. PLOS Computational Biology, doi:10.1371/journal.pcbi.1010529
Qiang Huang, Jundong Li, Huiyan Sun*, Yi Chang*. SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. ECML-PKDD 2022
Chaoyi Yin+, Yangkun Cao+, Peishuo Sun, Hengyuan Zhang, Zhi Li*, Ying Xu, Huiyan Sun* (2022) Molecular Subtyping of Cancer based on Robust Graph Neural Network and Multi-omics Data Integration. Frontiers in genetics, doi: 10.3389/fgene.2022.884028.
Peishuo Sun, Ying Wu, Chaoyi Yin, Hongyang Jiang, Ying Xu, Huiyan Sun*. (2022) Molecular Subtyping of Cancer based on Distinguishing Co-expression Modules and Machine Learning. Frontiers in Genetics, doi: 10.3389/fgene.2022.866005
Yingze Xu, Yan Wang*, Xuping Xie, Feilong Wang, Qi Chen, Huiyan Sun* (2021) An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data. IEEE BIBM 2021.
Qiang Huang, Tingyu Xia, Huiyan Sun*, Makoto Yamada*, Yi Chang. Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks. AAAI 2020.
Liang Chen+, Changliang Wang+, Huiyan Sun+, Juexin Wang, Yanchun Liang, Garry Wong*. (2020). The bioinformatics toolbox for circRNA discovery and analysis. Briefings in Bioinformatics, DOI: 10.1093/bib/bbaa001.
Huiyan Sun+, Yi Zhou+, Hongyang Jiang, Ying Xu*. (2020). Elucidation of Functional Roles of Sialic Acids in Cancer Migration. Frontiers in Oncology, DOI: 10.3389/fonc.2020.00401.
Hongyang Jiang+, Zhihang Wang+, Chaoyi Yin, Peishuo Sun, Ying Xu*, Huiyan Sun*. (2020). Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. IEEE BIBM 2020.
Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun*, Chang Yi, Multi-classification of Cancer Samples based on Co-expression Analyses. IEEE BIBM 2019.
Chen Liang, Sun Huiyan, Wang Changliang, Yang Yang, Zhang Menglei, Wong Garry*.(2018).miRNA Arm Switching Identifies Novel Tumour Biomarkers, Ebiomedicine, 38:37-46.
