Xingjian Shi
Xingjian Shi
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Convolutional LSTM network: A machine learning approach for precipitation nowcasting
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
arXiv preprint arXiv:1506.04214, 2015
Deep learning for precipitation nowcasting: A benchmark and a new model
X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, W Woo
arXiv preprint arXiv:1706.03458, 2017
Gaan: Gated attention networks for learning on large and spatiotemporal graphs
J Zhang, X Shi, J Xie, H Ma, I King, DY Yeung
arXiv preprint arXiv:1803.07294, 2018
Dynamic key-value memory networks for knowledge tracing
J Zhang, X Shi, I King, DY Yeung
Proceedings of the 26th international conference on World Wide Web, 765-774, 2017
Relational stacked denoising autoencoder for tag recommendation
H Wang, X Shi, DY Yeung
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Spatiotemporal modeling for crowd counting in videos
F Xiong, X Shi, DY Yeung
Proceedings of the IEEE International Conference on Computer Vision, 5151-5159, 2017
Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks
H Wang, X Shi, DY Yeung
arXiv preprint arXiv:1611.00454, 2016
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ...
Journal of Machine Learning Research 21 (23), 1-7, 2020
Relational deep learning: A deep latent variable model for link prediction
H Wang, X Shi, DY Yeung
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Machine learning for spatiotemporal sequence forecasting: A survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
STAR-GCN: stacked and reconstructed graph convolutional networks for recommender systems
J Zhang, X Shi, S Zhao, I King
arXiv preprint arXiv:1905.13129, 2019
Natural-parameter networks: A class of probabilistic neural networks
H Wang, X Shi, DY Yeung
arXiv preprint arXiv:1611.00448, 2016
Distributed stochastic ADMM for matrix factorization
ZQ Yu, XJ Shi, L Yan, WJ Li
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
Quantum language processing
N Wiebe, A Bocharov, P Smolensky, M Troyer, KM Svore
arXiv preprint arXiv:1902.05162, 2019
Visual speaker identification and authentication by joint spatiotemporal sparse coding and hierarchical pooling
JY Lai, SL Wang, AWC Liew, XJ Shi
Information Sciences 373, 219-232, 2016
A deep-learning method for precipitation nowcasting
W Wong, XJ Shi, DY Yeung, WC Woo
WMO WWRP 4th International Symposium on Nowcasting and Veryshort-range …, 2016
Sparse coding based lip texture representation for visual speaker identification
JY Lai, SL Wang, XJ Shi, AWC Liew
2014 19th International Conference on Digital Signal Processing, 607-610, 2014
Denoising predictive sparse decomposition
L Qian, X Shi
2014 International Conference on Big Data and Smart Computing (BIGCOMP), 223-228, 2014
Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data
J Mueller, X Shi, A Smola
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Dive into Deep Learning for Natural Language Processing
H Lin, X Shi, L Lausen, A Zhang, H He, S Zha, A Smola
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
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