Xingjian Shi
TitleCited byYear
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
567*2015
Relational Stacked Denoising Autoencoder for Tag Recommendation.
H Wang, X Shi, DY Yeung
AAAI, 3052-3058, 2015
482015
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
312016
Spatiotemporal modeling for crowd counting in videos
F Xiong, X Shi, DY Yeung
Computer Vision (ICCV), 2017 IEEE International Conference on, 5161-5169, 2017
172017
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
172017
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
132014
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
122017
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction.
H Wang, X Shi, DY Yeung
AAAI, 2688-2694, 2017
72017
Natural-parameter networks: A class of probabilistic neural networks
H Wang, SHI Xingjian, DY Yeung
Advances in Neural Information Processing Systems, 118-126, 2016
72016
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
62016
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
42018
Sparse coding based lip texture representation for visual speaker identification
JY Lai, SL Wang, XJ Shi, AWC Liew
Digital Signal Processing (DSP), 2014 19th International Conference on, 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
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
2018
Supplementary Materials for Collaborative Recurrent Autoencoder
H Wang, X Shi, DY Yeung
Supplementary Materials for Natural-Parameter Networks: A Class of Probabilistic Neural Networks
H Wang, X Shi, DY Yeung
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Articles 1–16