Hao WANG
Hao WANG
Massachusetts Institutue of Technology
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
19482015
Collaborative deep learning for recommender systems
H Wang, N Wang, DY Yeung
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
9122015
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
107*2016
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
972017
Collaborative Topic Regression with Social Regularization for Tag Recommendation.
H Wang, B Chen, WJ Li
IJCAI, 2719-2725, 2013
952013
Relational Stacked Denoising Autoencoder for Tag Recommendation.
H Wang, X Shi, DY Yeung
AAAI, 3052-3058, 2015
932015
Collaborative recurrent autoencoder: recommend while learning to fill in the blanks
H Wang, SHI Xingjian, DY Yeung
Advances In Neural Information Processing Systems, 415-423, 2016
682016
Relational collaborative topic regression for recommender systems
H Wang, WJ Li
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1343-1355, 2015
442015
Rethinking knowledge graph propagation for zero-shot learning
M Kampffmeyer, Y Chen, X Liang, H Wang, Y Zhang, EP Xing
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
412019
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction.
H Wang, X Shi, DY Yeung
AAAI, 2688-2694, 2017
272017
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
252017
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
H Wang, SHI Xingjian, DY Yeung
Advances In Neural Information Processing Systems, 118-126, 2016
192016
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
152018
Online Egocentric Models for Citation Networks.
H Wang, WJ Li
IJCAI, 2726-2732, 2013
72013
Bayesian Modelling and Monte Carlo Inference for GAN
H He, H Wang, GH Lee, Y Tian
International Conference on Learning Representations, 2019
6*2019
Recurrent Poisson Process Unit for Speech Recognition
H Huang, H Wang, B Mak
AAAI, 2019
32019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
H Wang, C Mao, H He, M Zhao, TS Jaakkola, D Katabi
AAAI, 2019
22019
Bayesian Deep Learning for Integrated Intelligence: Bridging the Gap between Perception and Inference
H Wang
The Hong Kong University of Science and Technology, 2017
2017
Supplementary Materials for Natural-Parameter Networks: A Class of Probabilistic Neural Networks
H Wang, X Shi, DY Yeung
Supplementary Materials for Collaborative Recurrent Autoencoder
H Wang, X Shi, DY Yeung
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