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
37072015
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
2382018
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
2302017
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
1762017
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
1202017
Relational stacked denoising autoencoder for tag recommendation
H Wang, X Shi, DY Yeung
Twenty-ninth AAAI conference on artificial intelligence, 2015
1202015
Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks
H Wang, X Shi, DY Yeung
arXiv preprint arXiv:1611.00454, 2016
882016
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, ...
J. Mach. Learn. Res. 21 (23), 1-7, 2020
812020
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
552019
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
482017
Machine learning for spatiotemporal sequence forecasting: A survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
452018
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
342016
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
242014
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
122016
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
52016
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
22014
Symbolic Music Generation with Transformer-GANs
A Muhamed, L Li, X Shi, S Yaddanapudi, W Chi, D Jackson, R Suresh, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 408-417, 2021
12021
Multimodal AutoML on Tables with Text Fields
X Shi, J Mueller, N Erickson, M Li, A Smola
2021
Multimodal AutoML on Structured Tables with Text Fields
X Shi, J Mueller, N Erickson, M Li, A Smola
8th ICML Workshop on Automated Machine Learning (AutoML), 2021
2021
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