Menghui Zhou

According to our database, Menghui Zhou authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation.

Peng Yue, Ziheng Li, Menghui Zhou, Xulong Wang, Po Yang

Sensors, February, 2024

2023

Efficient multi-task learning with adaptive temporal structure for progression prediction.

Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang

Neural Comput. Appl., August, 2023

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.

Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang

IEEE Internet Things J., 2023

Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.

Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang

CoRR, 2023

Automatic Temporal Relation in Multi-Task Learning.

Menghui Zhou, Po Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction.

Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression.

Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.

Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Robust Temporal Smoothness in Multi-Task Learning.

Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model.

Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study.

Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi, Po Yang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression.

Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning.

Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Students Perceptions, System Characteristics and Online Learning During the COVID-19 Epidemic School Disruption.

Benazir Quadir, Menghui Zhou

Int. J. Distance Educ. Technol., 2021

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.

Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2016

Optical fiber laser sensor for liquid level measurement based on multimode interference effect.

Ziyang Guo, Qingqiang Meng, Menghui Zhou, Xinyong Dong

Proceedings of the 25th Wireless and Optical Communication Conference, 2016