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Hao Wang
Hao Wang
Assistant Professor of Computer Science, Rutgers University
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
93982015
Collaborative deep learning for recommender systems
H Wang, N Wang, DY Yeung
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
19082015
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
8982017
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
3652019
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
3312016
Delving into Deep Imbalanced Regression
Y Yang, K Zha, YC Chen, H Wang, D Katabi
International Conference on Machine Learning (ICML), 2021
2582021
A Survey on Bayesian Deep Learning
H Wang, DY Yeung
ACM Computing Surveys (CSUR) 53 (5), 1-37, 2020
2072020
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
1912013
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
1732018
Relational Stacked Denoising Autoencoder for Tag Recommendation
H Wang, X Shi, DY Yeung
AAAI Conference on Artificial Intelligence (AAAI), 3052-3058, 2015
1592015
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
126*2021
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
1232016
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
1222022
Continuously Indexed Domain Adaptation
H Wang, H He, D Katabi
International Conference on Machine Learning (ICML), 2020
1142020
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
1052020
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
972022
Natural-parameter networks: A class of probabilistic neural networks
H Wang, X Shi, DY Yeung
Advances in neural information processing systems 29, 2016
822016
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction
H Wang, X Shi, DY Yeung
AAAI Conference on Artificial Intelligence (AAAI), 2688-2694, 2017
802017
Relational collaborative topic regression for recommender systems
H Wang, WJ Li
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1343-1355, 2015
792015
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
71*2021
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