1. | Xi J#, Ye L, Huang Q, et al. Tolerating data missing in breast cancer diagnosis from clinical ultrasound reports via knowledge graph inference[C]. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021: 3756-3764.(CCF A类,第一作者) |
2. | Yu Y#, Shi W, Xie G*, Xi J*. Pathological Tissue-level Contour Genomic Profile Interpretation of Lung Adenocarcinoma via Spatial and Morphological Features Co-action Graph Neural Network[C]//2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023: 958-964. (CCF A类,通讯作者) |
3. | Xi J#, Sun D#, Chang C, et al. An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers[J]. Computers in Biology and Medicine, 2023, 155: 106672. (中科院二区,第一作者) |
4. | Xi J#, Wang D, Yang X, et al. Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability[J]. Biomedical Signal Processing and Control, 2023, 79: 104144. (中科院二区,第一作者) |
5. | Xi J#, Yuan X, Wang M, et al. Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication[J]. Bioinformatics, 2020, 36(6): 1855-1863. (中科院二区,第一作者) |