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2020 – today
- 2025
[j2]Jin Liu, Junbin Mao, Hanhe Lin
, Hulin Kuang, Shirui Pan, Xusheng Wu, Shan Xie, Fei Liu, Yi Pan:
Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery. IEEE Trans. Comput. Biol. Bioinform. 22(2): 842-854 (2025)- [j1]Junbin Mao, Jin Liu, Xu Tian, Yi Pan, Emanuele Trucco, Hanhe Lin:
Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction. IEEE Trans. Medical Imaging 44(3): 1334-1346 (2025) - [i2]Ludi Li, Junbin Mao, Hanhe Lin, Xu Tian, Fang-Xiang Wu, Jin Liu:
CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification. CoRR abs/2510.17584 (2025) - 2024
- [c5]Kun Liu, Min Li, Chu He, Xu Tian, Junbin Mao, Min Zeng, Jin Liu:
UniSleepPos: Sleep Posture Identification System Utilizing Millimeter-wave Radar. BIBM 2024: 2232-2237 - [c4]Jin Liu, Hao Du, Junbin Mao, Jianchun Zhu, Xu Tian:
A Novel Dual Interactive Network for Parkinson's Disease Diagnosis Based on Multi-modality Magnetic Resonance Imaging. ISBRA (2) 2024: 434-444 - 2023
- [c3]Junbin Mao, Hanhe Lin, Xu Tian, Yi Pan, Jin Liu:
FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. BIBM 2023: 1356-1361 - [c2]Jin Liu, Jianchun Zhu, Xu Tian, Junbin Mao, Yi Pan:
Multi-atlas Representations Based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis. PRCV (13) 2023: 460-471 - [i1]Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Shirui Pan, Yi Pan:
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR abs/2303.03388 (2023) - 2022
- [c1]Junbin Mao, Yu Sheng, Wei Lan, Xu Tian, Jin Liu, Yi Pan:
Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. ICIRA (1) 2022: 341-348
Coauthor Index
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