Wang, Hao

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

Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals

Yang, Y., Yuan, Y., Zhang, G., Wang, H., Chen, Y.-C., Liu, Y., Tarolli, C. G., Crepeau, D., Bukartyk, J., Junna, M. R., et al. (2022) · Nature Medicine

Non-Invasive Vital Sign MonitoringParkinson's Disease Mechanisms and Treatments

Cited by 296

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

Delving into deep imbalanced regression

Yang, Y., Zha, K., Chen, Y.-C., Wang, H., & Katabi, D. (2021) · arXiv

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 229

BodyCompass: Monitoring Sleep Posture with Wireless Signals

Yue, S., Yang, Y., Wang, H., Rahul, H., & Katabi, D. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems

Cited by 112

SSR: Socratic Self-Refine for Large Language Model Reasoning

Shi, H., Liu, Y., Pang, B., Liu, Z. L., Wang, H., Savarese, S., Xiong, C., Zhou, Y., & Yavuz, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0