| MMTFN: Multi‐modal multi‐scale transformer fusion network for Alzheimer's disease diagnosis S Miao, Q Xu, W Li, C Yang, B Sheng, F Liu, TT Bezabih, X Yu International Journal of Imaging Systems and Technology 34 (1), e22970, 2024 | 23 | 2024 |
| Patch-based deep multi-modal learning framework for Alzheimer’s disease diagnosis using multi-view neuroimaging F Liu, S Yuan, W Li, Q Xu, B Sheng Biomedical Signal Processing and Control 80, 104400, 2023 | 23 | 2023 |
| De-accumulated error collaborative learning framework for predicting Alzheimer’s disease progression H Cheng, S Yuan, W Li, X Yu, F Liu, X Liu, TT Bezabih Biomedical Signal Processing and Control 89, 105767, 2024 | 12 | 2024 |
| HAMMF: hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer’s disease X Liu, W Li, S Miao, F Liu, K Han, TT Bezabih Computers in Biology and Medicine 176, 108564, 2024 | 5 | 2024 |
| Exploring multi-granularity contextual semantics for fully inductive knowledge graph completion J Wang, W Li, AM Luvembe, X Yu, X Zhang, F Liu, F Liu, H Wang, Z Wang, ... Expert Systems with Applications 260, 125407, 2025 | 1 | 2025 |
| Multi-task joint learning network based on adaptive patch pruning for Alzheimer’s disease diagnosis and clinical score prediction F Liu, S Yuan, W Li, Q Xu, X Wu, K Han, J Wang, S Miao Biomedical Signal Processing and Control 95, 106398, 2024 | 1 | 2024 |
| ConeE: Global and local context-enhanced embedding for inductive knowledge graph completion J Wang, W Li, F Liu, Z Wang, AM Luvembe, Q Jin, Q Pan, F Liu Expert Systems with Applications 246, 123116, 2024 | 1 | 2024 |
| Gait Recognition Method Based on Wearable Sensor Information Fusion R Shao, H Wang, F Liu, F Sun BIBE 2024; The 7th International Conference on Biological Information and …, 2024 | | 2024 |
