Lai Z-R, Wang W#. Invariant risk minimization is a total variation model. In: Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Vienna, Austria: 2024: 25913-25935.(CCF A类会议)
Yang J, Wang W#, Zhang X. scSemiGCN: boosting cell-type annotation from noise-resistant graph neural networks with extremely limited supervision. Bioinformatics, 2024, 40(2): btae091.（中国数学会T1期刊）
Wang W, Zhang X, Dai D-Q. springD2A: capturing uncertainty in disease-drug association prediction. Bioinformatics, 2022, 38(5):1353–1360. （中国数学会T1期刊）
Zhang X, Wang W, Ren C-X, Dai D-Q. Learning representation for multiple biological networks via a robust graph regularized integration approach. Briefings in Bioinformatics, 2022, 23(1):bbab409.（中科院TOP期刊，IF:9.5）
Song W, Wang W, Dai D-Q. Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data. Briefings in Bioinformatics, 2022, 23(1):bbab398.中科院TOP期刊，IF:9.5）
Liu Y, Wang W, Ren C-X, Dai D-Q. MetaCon: meta contrastive learning for microsatellite instability detection. In: 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Strasbourg, France: 2021:267–276. （CCF B类会议）
Wang W, Zhang X, Dai D-Q. DeFusion: a denoised network regularization framework for multi-omics integration. Briefings in Bioinformatics, 2021, 22(5):bbab057.中科院TOP期刊，IF:13.994）
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