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Menghui Zhou
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2020 – today
- 2024
- [j7]Jinlei Mao, Zhihao Zhu, Minjun Xia, Menghui Zhou, Li Wang, Jianfu Xia, Zhifei Wang:
Enhanced Runge-Kutta-driven feature selection model for early detection of gastroesophageal reflux disease. Comput. Biol. Medicine 175: 108394 (2024) - [j6]Xiangchao Chang
, Menghui Zhou
Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowl. Based Syst. 301: 112187 (2024) - [j5]Peng Yue, Ziheng Li, Menghui Zhou, Xulong Wang, Po Yang:
Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. Sensors 24(4): 1196 (2024) - [j4]Menghui Zhou
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. 36(10): 5206-5220 (2024) - [c12]Xuanhan Fan, Menghui Zhou, Jun Qi, Yun Yang, Po Yang:
A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. IJCNN 2024: 1-8 - 2023
- [j3]Shuhao Zhang
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet Things J. 10(8, April 15): 6742-6755 (2023) - [j2]Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. 35(22): 16305-16320 (2023) - [c11]Menghui Zhou
Robust Temporal Smoothness in Multi-Task Learning. AAAI 2023: 11426-11434 - [c10]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM 2023: 940-943 - [c9]Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang:
Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. BIBM 2023: 3265-3272 - [c8]Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang:
Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. BIBM 2023: 4444-4451 - [c7]Menghui Zhou
Automatic Temporal Relation in Multi-Task Learning. KDD 2023: 3570-3580 - [i1]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR abs/2311.03557 (2023) - 2022
- [c6]Yu Zhang, Vitaveska Lanfranchi
Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. BIBM 2022: 2735-2742 - [c5]Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM 2022: 2743-2752 - [c4]Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi
Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. EMBC 2022: 979-985 - [c3]Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang:
Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. MSN 2022: 687-691 - 2021
- [j1]Benazir Quadir, Menghui Zhou:
Students Perceptions, System Characteristics and Online Learning During the COVID-19 Epidemic School Disruption. Int. J. Distance Educ. Technol. 19(2): 15-33 (2021) - [c2]Menghui Zhou
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN 2021: 366-373
2010 – 2019
- 2016
- [c1]Ziyang Guo, Qingqiang Meng, Menghui Zhou, Xinyong Dong:
Optical fiber laser sensor for liquid level measurement based on multimode interference effect. WOCC 2016: 1-4
Coauthor Index
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