Yeung, Dit-Yan

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Shi, X., Chen, Z., Wang, H., Yeung, D.-Y., Wong, W.-K., & Woo, W.-C. (2015) · arXiv

Hydrological Forecasting Using AIPrecipitation Measurement and Analysis

Cited by 7,709

Collaborative Deep Learning for Recommender Systems

Wang, H., Wang, N., & Yeung, D.-Y. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 1,657

Parzen-window network intrusion detectors

Yeung, D.-Y., & Chow, C. (2003) · Object recognition supported by user interaction for service robots

Network Security and Intrusion DetectionArtificial Immune Systems Applications

Cited by 277

A Survey on Bayesian Deep Learning

Wang, H., & Yeung, D.-Y. (2021) · ACM Computing Surveys

Gaussian Processes and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 247

Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs

Mi, F., & Yeung, D.-Y. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence

Online Learning and AnalyticsStudent Assessment and Feedback

Cited by 34

RoboDreamer: Learning Compositional World Models for Robot Imagination

Zhou, S., Du, Y., Chen, J., Li, Y., Yeung, D.-Y., & Gan, C. (2024) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 4