Zhou, Jiayu

Transfer Learning in Deep Reinforcement Learning: A Survey

Zhu, Z., Lin, K., Jain, A. K., & Zhou, J. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 861

Missing Modalities Imputation via Cascaded Residual Autoencoder

Tran, L., Liu, X., Zhou, J., & Jin, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 256

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders

Ma, T., Xiao, C., Zhou, J., & Wang, F. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Computational Drug Discovery MethodsAdvanced Graph Neural Networks

Cited by 220

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey

Wu, J., Dong, F., Leung, H., Zhu, Z., Zhou, J., & Drew, S. (2024) · ACM Computing Surveys

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 130

Cosmo: contrastive fusion learning with small data for multimodal human activity recognition

Ouyang, X., Shuai, X., Zhou, J., Shi, I. W., Xie, Z., Xing, G., & Huang, J. (2022) · Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

Context-Aware Activity Recognition SystemsIoT and Edge/Fog Computing

Cited by 94

Deep Multi-view Information Bottleneck

Wang, Q., Boudreau, C., Luo, Q., Tan, P.-N., & Zhou, J. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 77

Fedface: Collaborative learning of face recognition model

Aggarwal, D., Zhou, J., & Jain, A. K. (2021) · 2021 IEEE International Joint Conference on Biometrics (IJCB)

Privacy-Preserving Technologies in DataFace recognition and analysis

Cited by 67

Learning across Diverse Biomedical Data Modalities and Cohorts: Challenges and Opportunities for Innovation

Rajendran, S., Pan, W., Sabuncu, M. R., Chen, Y., Zhou, J., & Wang, F. (2024) · Patterns

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 47

Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning

Zhou, M., Tang, A. S., Zhang, H., Xu, Z., Ke, A. M. C., Su, C., Huang, Y., Mantyh, W. G., Jaffee, M. S., Rankin, K. P., et al. (2025) · Journal of Biomedical Informatics

Dementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Cited by 9