Xingjian Shi
Xingjian Shi
Amazon
Verified email at connect.ust.hk - 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, 802-810, 2015
28372015
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
Advances in neural information processing systems, 5617-5627, 2017
1662017
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
1532018
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
1102017
Relational stacked denoising autoencoder for tag recommendation
H Wang, X Shi, DY Yeung
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
1092015
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
982017
Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks
H Wang, X Shi, DY Yeung
Advances in Neural Information Processing Systems 29, 415-423, 2016
792016
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
452020
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
412017
Machine learning for spatiotemporal sequence forecasting: A survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
282018
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
272019
Natural-parameter networks: A class of probabilistic neural networks
H Wang, X Shi, DY Yeung
Advances in Neural Information Processing Systems 29, 118-126, 2016
262016
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
232014
Quantum language processing
N Wiebe, A Bocharov, P Smolensky, M Troyer, KM Svore
arXiv preprint arXiv:1902.05162, 2019
132019
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
112016
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
42016
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
32014
Denoising predictive sparse decomposition
L Qian, X Shi
2014 International Conference on Big Data and Smart Computing (BIGCOMP), 223-228, 2014
12014
A Statistical Characterization of Attentions in Graph Neural Networks
M Li, H Zhang, X Shi, M Wang, Z Zhang
International Conference on Learning Representations (ICLR, 2019), New …, 0
1
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
2020
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Articles 1–20