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
SHI Xingjian, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
Advances in neural information processing systems, 802-810, 2015
22462015
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
1262017
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
1202018
Relational stacked denoising autoencoder for tag recommendation
H Wang, X Shi, DY Yeung
Twenty-ninth AAAI conference on artificial intelligence, 2015
992015
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
832017
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
792017
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
702016
Relational deep learning: A deep latent variable model for link prediction
H Wang, X Shi, DY Yeung
Thirty-First AAAI Conference on Artificial Intelligence, 2017
362017
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
262020
Natural-parameter networks: A class of probabilistic neural networks
H Wang, SHI Xingjian, DY Yeung
Advances in Neural Information Processing Systems, 118-126, 2016
242016
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
Machine learning for spatiotemporal sequence forecasting: A survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
202018
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
142019
Quantum language processing
N Wiebe, A Bocharov, P Smolensky, M Troyer, KM Svore
arXiv preprint arXiv:1902.05162, 2019
82019
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
72016
WOO, W.-c. 2015. Convolutional lstm network: A machine learning approach for precipitation nowcasting
X Shi, Z Chen, H Wang, DY Yeung, W Wong
Cortes, C.; Lawrence, ND; Lee, DD; Sugiyama, M, 802-810, 0
5
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
32016
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
The system can't perform the operation now. Try again later.
Articles 1–20