Optical fiber laser sensor for liquid level measurement based on multimode interference effect. - Ziyang Guo; Qingqiang Meng; Menghui Zhou; Xinyong Dong (WOCC, 2016)

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. - Menghui Zhou; Xulong Wang 001; Yun Yang 003; Fengtao Nan; Yu Zhang 128; Jun Qi 001; Po Yang 001 (MSN, 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 Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. - Yu Zhang 128; Vitaveska Lanfranchi; Xulong Wang 001; Menghui Zhou; Po Yang 001 (BIBM, 2022)

Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (CIKM, 2022)

Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. - Yu Zhang 128; Menghui Zhou; Tong Liu 014; Vitaveska Lanfranchi; Po Yang 001 (EMBC, 2022)

Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. - Xiangchao Chang; Menghui Zhou; Fengtao Nan; Yun Yang 003; Po Yang 001 (MSN, 2022)

Robust Temporal Smoothness in Multi-Task Learning. - Menghui Zhou; Yu Zhang 128; Yun Yang 003; Tong Liu 014; Po Yang 001 (AAAI, 2023)

Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. - Xulong Wang 001; Yu Zhang 128; Menghui Zhou; Tong Liu 014; Jun Qi 001; Po Yang 001 (BIBM, 2023)

Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. - Xulong Wang 001; Menghui Zhou; Yu Zhang 128; Kang Liu; Jun Qi 001; Po Yang 001 (BIBM, 2023)

Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. - Menghui Zhou; Tong Liu 014; Xulong Wang 001; Kang Liu; Yu Zhang 128; Po Yang 001 (BIBM, 2023)

Automatic Temporal Relation in Multi-Task Learning. - Menghui Zhou; Po Yang 001 (KDD, 2023)

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. - Shuhao Zhang 007; Gaoshan Bi; Jun Qi 001; Yun Yang 003; Xiangzeng Kong; Fengtao Nan; Menghui Zhou; Po Yang 001 (IEEE Internet Things J., 2023)

Efficient multi-task learning with adaptive temporal structure for progression prediction. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (Neural Comput. Appl., 2023)

Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. - Xuanhan Fan; Menghui Zhou; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment. - Mingchang Xu; Jun Qi 001; Xulong Wang 001; Menghui Zhou; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. - Zheyuan Xu; Xulong Wang 001; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Learning Interpretable Continuous Representation for Alzheimer's Disease Classification. - Menghui Zhou; Mingxia Wang; Yu Zhang 128; Zhipeng Yuan; Vitaveska Lanfranchi; Po Yang 001 (BIBM, 2024)

A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. - Xuanhan Fan; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (IJCNN, 2024)

Enhanced Runge-Kutta-driven feature selection model for early detection of gastroesophageal reflux disease. - Jinlei Mao; Zhihao Zhu; Minjun Xia; Menghui Zhou; Li Wang; Jianfu Xia; Zhifei Wang (Comput. Biol. Medicine, 2024)

Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. - Xiangchao Chang; Menghui Zhou; Xulong Wang 001; Yun Yang 003; Po Yang 001 (Knowl. Based Syst., 2024)

Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. - Peng Yue; Ziheng Li; Menghui Zhou; Xulong Wang 001; Po Yang 001 (Sensors, 2024)

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. - Menghui Zhou; Xulong Wang 001; Tong Liu 014; Yun Yang 003; Po Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis. - Zhaodong Chen; Mingxia Wang; Fengtao Nan; Yun Yang 003; Shunbao Li; Menghui Zhou; Jun Qi 001; Hanwen Wang; Po Yang 001 (Eng. Appl. Artif. Intell., 2025)