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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
SHI Xingjian, Z Chen, H Wang, DY Yeung, W Wong, W Woo
Advances in Neural Information Processing Systems, 802-810, 2015
6230*2015
Collaborative deep learning for recommender systems
H Wang, N Wang, DY Yeung
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
16282015
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
5032017
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
2622016
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
2522019
Collaborative Topic Regression with Social Regularization for Tag Recommendation.
H Wang, B Chen, WJ Li
IJCAI, 2719-2725, 2013
1562013
Relational Stacked Denoising Autoencoder for Tag Recommendation.
H Wang, X Shi, DY Yeung
AAAI, 3052-3058, 2015
1472015
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
1112016
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
1032018
A Survey on Bayesian Deep Learning
H Wang, DY Yeung
ACM Computing Surveys (CSUR) 53 (5), 1-37, 2020
862020
Delving into Deep Imbalanced Regression
Y Yang, K Zha, YC Chen, H Wang, D Katabi
International Conference on Machine Learning (ICML), 2021
672021
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction.
H Wang, X Shi, DY Yeung
AAAI, 2688-2694, 2017
652017
Relational collaborative topic regression for recommender systems
H Wang, WJ Li
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1343-1355, 2015
622015
Continuously Indexed Domain Adaptation
H Wang, H He, D Katabi
International Conference on Machine Learning (ICML), 2020
582020
Natural-parameter networks: A class of probabilistic neural networks
H Wang, X Shi, DY Yeung
Advances in neural information processing systems 29, 2016
552016
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
50*2021
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
442020
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
H He, H Wang, GH Lee, Y Tian
International Conference on Learning Representations (ICLR), 2019
38*2019
ZM-Net: Real-time Zero-shot Image Manipulation Network
H Wang, X Liang, H Zhang, DY Yeung, EP Xing
arXiv preprint arXiv:1703.07255, 2017
352017
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
262021
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