Xiang Li, Hao Wang, Fangyu Liu, Ye Li, Han Zhang*, Fangmin Sun*. A Transfer Learning Method for Cross-Scenario Abnormal Running Posture Detection Based on Wearable Sensors. IEEE Transactions on Consumer Electronics. (Q2 of CAS, Q1 of JCR, IF:10.9, Accepted)[Paper]

Hao Wang¹, Fangyu Liu¹, Xiang Li, Huazhen Huang, Ye Li, Fangmin Sun*. MixMatch-based semi-supervised learning approach for cross-domain locomotion and transportation mode recognition. Companion of the 2025 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. (UbiComp Workshop 2025, CCF-A, EI, Accepted, ¹ equal contribution)[Paper]

Fangyu Liu¹, Hao Wang¹, Huazhen Huang, Xiang Li, Ye Li, Fangmin Sun*. A sensor-site hybrid algorithm pipeline for locomotion and transportation mode recognition. Companion of the 2025 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. (UbiComp Workshop 2025, CCF-A, EI, Accepted, ¹ equal contribution)[Paper]

Hao Wang¹, Fangyu Liu¹, Xiang Li, Ye Li, Fangmin Sun*. A Key Feature Screening Method for Human Activity Recognition Based on Multi-head Attention Mechanism. IEEE International Joint Conference on Biometrics. (IJCB 2025, CCF-C, EI, Accepted, ¹ equal contribution)[Paper][Poster]

Fangyu Liu, Hao Wang, Weilin Zang, Ye Li, Fangmin Sun*. Influencing Factors Mining and Modeling of Energy Expenditure in Running Based on Wearable Sensors. Proceedings of the 2024 International Conference on Sports Technology and Performance Analysis. (ICSTPA 2024, EI)[Paper][Poster]

Ruijie Shao, Hao Wang, Fangyu Liu, Fangmin Sun*. Gait Recognition Method Based on Wearable Sensor Information Fusion. The 7th International Conference on Biological Information and Biomedical Engineering. (BIBE 2024, EI)[Paper][Poster][Award][Promotion]

Jingchao Wang, Weimin Li*, Alex Munyole Luvembe, Xiao Yu, Xinyi Zhang, Fangyu Liu, Fangfang Liu, Hao Wang, Zhenhai Wang, Qun Jin. Exploring multi-granularity contextual semantics for fully inductive knowledge graph completion. Expert Systems With Applications. (CCF-C, Q1 of CAS, Q1 of JCR, IF:7.5)[Paper]

Xiao Liu, Weimin Li*, Shang Miao, Fangyu Liu, Ke Han, Tsigabu Teame Bezabih. HAMMF: Hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer's disease. Computers in Biology and Medicine. (Q2 of CAS, Q1 of JCR, IF:6.3)[Paper]

Fangyu Liu¹, Shizhong Yuan¹, Weimin Li*, Qun Xu, Xing Wu, Ke Han*, Jingchao Wang, Shang Miao. Multi-task joint learning network based on adaptive patch pruning for Alzheimer's disease diagnosis and clinical score prediction. Biomedical Signal Processing and Control. (Q2 of CAS, Q1 of JCR, IF:4.9, ¹ equal contribution)[Paper]

Jingchao Wang, Weimin Li*, Fangfang Liu, Zhenhai Wang, Alex Munyole Luvembe, Qun Jin, Quanke Pan, Fangyu Liu. ConeE: Global and local context-enhanced embedding for inductive knowledge graph completion. Expert Systems With Applications, 2024. (CCF-C, Q1 of CAS, Q1 of JCR, IF:7.5)[Paper]

Hongli Cheng¹, Shizhong Yuan¹, Weimin Li*, Xiao Yu, Fangyu Liu, Xiao Liu, Tsigabu Teame Bezabih. De-accumulated error collaborative learning framework for predicting Alzheimer's disease progression. Biomedical Signal Processing and Control, 2024. (Q2 of CAS, Q1 of JCR, IF:4.9, ¹ equal contribution)[Paper]

Shang Miao^#, Qun Xu^#, Weimin Li*, Chao Yang*, Bin Sheng, Fangyu Liu, Tsigabu T. Bezabih, Xiao Yu. MMTFN: Multi-modal Multi-scale transformer fusion network for Alzheimer's disease diagnosis. International Journal of Imaging Systems and Technology, 2024. (Q4 of CAS, Q2 of JCR, IF:2.5, ^# senior authors)[Paper]

Fangyu Liu¹, Shizhong Yuan¹, Weimin Li*, Qun Xu**, Bin Sheng. Patch-based deep multi-modal learning framework for Alzheimer's disease diagnosis using multi-view neuroimaging. Biomedical Signal Processing and Control, 2023. (Q2 of CAS, Q1 of JCR, IF:4.9, ¹ equal contribution)[Paper]