Menghui Zhou - RankMe

30 papers A* 2A 1B 1Journal 12Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis. BIBM Delin Ma, Menghui Zhou, Yun Yang, Po Yang, Jun Qi
2025	J	`jnl`	Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis. CoRR Delin Ma, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2025	J	`jnl`	Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis. Eng. Appl. Artif. Intell. Zhaodong Chen, Mingxia Wang, Fengtao Nan, Yun Yang, Shunbao Li, Menghui Zhou, Jun Qi, Hanwen Wang, Po Yang
2025	—	`conf`	Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression. BIBM Zixiang Xu, Menghui Zhou, Xuanhan Fan, Yun Yang, Po Yang, Jun Qi
2025	J	`jnl`	Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression. CoRR Zixiang Xu, Menghui Zhou, Jun Qi, Xuanhan Fan, Yun Yang, Po Yang
2024	J	`jnl`	A Multi-Classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease. IEEE Trans. Comput. Biol. Bioinform. Fengtao Nan, Shunbao Li, Jiayu Wang, Yahui Tang, Jun Qi, Menghui Zhou, Zhong Zhao, Yun Yang, Po Yang
2024	B	`conf`	A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. IJCNN Xuanhan Fan, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2024	—	`conf`	Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. BIBM Zheyuan Xu, Xulong Wang, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2024	—	`conf`	Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. BIBM Xuanhan Fan, Menghui Zhou, Yu Zhang, Jun Qi, Yun Yang, Po Yang
2024	J	`jnl`	Enhanced Runge-Kutta-driven feature selection model for early detection of gastroesophageal reflux disease. Comput. Biol. Medicine Jinlei Mao, Zhihao Zhu, Minjun Xia, Menghui Zhou, Li Wang, Jianfu Xia, Zhifei Wang
2024	J	`jnl`	Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowl. Based Syst. Xiangchao Chang, Menghui Zhou, Xulong Wang, Yun Yang, Po Yang
2024	J	`jnl`	Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang
2024	—	`conf`	Learning Interpretable Continuous Representation for Alzheimer's Disease Classification. BIBM Menghui Zhou, Mingxia Wang, Yu Zhang, Zhipeng Yuan, Vitaveska Lanfranchi, Po Yang
2024	—	`conf`	Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment. BIBM Mingchang Xu, Jun Qi, Xulong Wang, Menghui Zhou, Yun Yang, Po Yang
2024	J	`jnl`	Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. Sensors Peng Yue, Ziheng Li, Menghui Zhou, Xulong Wang, Po Yang
2023	A*	`conf`	Automatic Temporal Relation in Multi-Task Learning. KDD Menghui Zhou, Po Yang
2023	J	`jnl`	Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
2023	—	`conf`	Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. BIBM Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang
2023	—	`conf`	Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. BIBM Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang
2023	J	`jnl`	Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet Things J. Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang
2023	A*	`conf`	Robust Temporal Smoothness in Multi-Task Learning. AAAI Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang
2023	—	`conf`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2023	J	`jnl`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2022	—	`conf`	Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. MSN Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang
2022	—	`conf`	Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. BIBM Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang
2022	A	`conf`	Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
2022	—	`conf`	Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. EMBC Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi, Po Yang
2021	—	`conf`	Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang
2021	J	`jnl`	Students Perceptions, System Characteristics and Online Learning During the COVID-19 Epidemic School Disruption. Int. J. Distance Educ. Technol. Benazir Quadir, Menghui Zhou
2016	—	`conf`	Optical fiber laser sensor for liquid level measurement based on multimode interference effect. WOCC Ziyang Guo, Qingqiang Meng, Menghui Zhou, Xinyong Dong