Yao, Lina

Adversarially Regularized Graph Autoencoder for Graph Embedding

Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 929

Deep Learning for Sensor-based Human Activity Recognition

Chen, K., Zhang, D., Yao, L., Guo, B., Yu, Z., & Liu, Y. (2022) · ACM Computing Surveys

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 690

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

Chen, K., Yao, L., Zhang, D., Wang, X., Chang, X., & Nie, F. (2020) · IEEE Transactions on Neural Networks and Learning Systems

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 368

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

Chen, K., Zhang, D., Yao, L., Guo, B., Yu, Z., & Liu, Y. (2020) · arXiv

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 314

A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers

Zhang, X., Yao, L., Wang, X., Monaghan, J., McAlpine, D., & Zhang, Y. (2021) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 296

The Future of False Information Detection on Social Media: New Perspectives and Trends

Guo, B., Ding, Y., Yao, L., Liang, Y., & Yu, Z. (2021) · ACM Computing Surveys

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 122

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

Liu, L., Zhou, T., Long, G., Jiang, J., Yao, L., & Zhang, C. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 65

Multi-modality Sensor Data Classification with Selective Attention

Zhang, X., Yao, L., Huang, C., Wang, S., Tan, M., Long, G., & Wang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 41

Adversarial Multi-view Networks for Activity Recognition

Bai, L., Yao, L., Wang, X., Kanhere, S. S., Guo, B., & Yu, Z. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 40

A unified framework for data integrity protection in people-centric smart cities

Altulyan, M., Yao, L., Kanhere, S. S., Wang, X., & Huang, C. (2020) · Multimedia Tools and Applications

Blockchain Technology Applications and SecurityCloud Data Security Solutions

Cited by 37

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN

Zhang, X., Yao, L., Wang, X., Zhang, W., Zhang, S., & Liu, Y. (2019) · 2019 IEEE International Conference on Data Mining (ICDM)

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 22

VID: Human identification through vein patterns captured from commodity depth cameras

Shah, S. W., Kanhere, S. S., Zhang, J., & Yao, L. (2021) · IET Biometrics

Biometric Identification and SecurityGait Recognition and Analysis

Cited by 5

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms

Huang, C., Huang, H., Yu, T., Xie, K., Wu, J., Zhang, S., Mcauley, J., Jannach, D., & Yao, L. (2025) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0