| Convolutional LSTM network: A machine learning approach for precipitation nowcasting X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo Advances in neural information processing systems 28, 2015 | 10908 | 2015 |
| Collaborative deep learning for recommender systems H Wang, N Wang, DY Yeung Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 2022 | 2015 |
| Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model X Shi, H Wang, Z Gao, L Lausen, DY Yeung, W WOO, W Wong Advances in Neural Information Processing Systems, 5620-5630, 2017 | 1060 | 2017 |
| Rethinking knowledge graph propagation for zero-shot learning M Kampffmeyer, Y Chen, X Liang, H Wang, Y Zhang, EP Xing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 389 | 2019 |
| Towards Bayesian Deep Learning: A Framework and Some Existing Methods H Wang, DY Yeung IEEE Transactions on Knowledge and Data Engineering 28 (12), 3395-3408, 2016, 2016 | 370 | 2016 |
| Delving into Deep Imbalanced Regression Y Yang, K Zha, YC Chen, H Wang, D Katabi International Conference on Machine Learning (ICML), 2021 | 368 | 2021 |
| A Survey on Bayesian Deep Learning H Wang, DY Yeung ACM Computing Surveys (CSUR) 53 (5), 1-37, 2020 | 275 | 2020 |
| Collaborative Topic Regression with Social Regularization for Tag Recommendation H Wang, B Chen, WJ Li International Joint Conference on Artificial Intelligence (IJCAI), 2719-2725, 2013 | 213 | 2013 |
| Extracting Multi-Person Respiration from Entangled RF Signals S Yue, H He, H Wang, H Rahul, D Katabi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 208 | 2018 |
| Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals Y Yang, Y Yuan, G Zhang, H Wang, YC Chen, Y Liu, CG Tarolli, ... Nature Medicine 28 (10), 2207-2215, 2022 | 205 | 2022 |
| Deep Learning and the Weather Forecasting Problem: Precipitation Nowcasting Z Gao, X Shi, H Wang, DY Yeung, W Woo, WK Wong Book Chapter of Deep Learning for the Earth Sciences: A Comprehensive …, 2021 | 176* | 2021 |
| Earthformer: Exploring Space-Time Transformers for Earth System Forecasting Z Gao, X Shi, H Wang, Y Zhu, Y Wang, M Li, DY Yeung Advances in Neural Information Processing Systems (NeurIPS), 2022 | 173 | 2022 |
| Relational Stacked Denoising Autoencoder for Tag Recommendation H Wang, X Shi, DY Yeung AAAI Conference on Artificial Intelligence (AAAI), 3052-3058, 2015 | 163 | 2015 |
| Continuously Indexed Domain Adaptation H Wang, H He, D Katabi International Conference on Machine Learning (ICML), 2020 | 137 | 2020 |
| BodyCompass: Monitoring Sleep Posture with Wireless Signals S Yue, Y Yang, H Wang, H Rahul, D Katabi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 132 | 2020 |
| Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks H Wang, X Shi, DY Yeung Advances in Neural Information Processing Systems 29, 2016 | 127 | 2016 |
| Language models as recommender systems: Evaluations and limitations Y Zhang, H Ding, Z Shui, Y Ma, J Zou, A Deoras, H Wang NeurIPS 2021 Workshop, 2021 | 101* | 2021 |
| Zero-Shot Recommender Systems H Ding, Y Ma, A Deoras, Y Wang, H Wang ICLR 2022 Workshop on Deep Generative Models for Highly Structured Data, 2021 | 96 | 2021 |
| Natural-parameter networks: A class of probabilistic neural networks H Wang, X Shi, DY Yeung Advances in neural information processing systems 29, 2016 | 93 | 2016 |
| Paint transformer: Feed forward neural painting with stroke prediction S Liu, T Lin, D He, F Li, R Deng, X Li, E Ding, H Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 92 | 2021 |
Dit-Yan YeungChair Professor, Department of CSE, HKUST, Hong KongVerified email at cse.ust.hk
