Xingjian Shi
Xingjian Shi
Amazon
Verified email at connect.ust.hk - Homepage
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
16542015
Relational stacked denoising autoencoder for tag recommendation
H Wang, X Shi, DY Yeung
Twenty-ninth AAAI conference on artificial intelligence, 2015
862015
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
732018
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
702017
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
652017
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
642016
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
542017
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
252017
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
212014
Natural-parameter networks: A class of probabilistic neural networks
H Wang, SHI Xingjian, DY Yeung
Advances in Neural Information Processing Systems, 118-126, 2016
162016
Machine learning for spatiotemporal sequence forecasting: A survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
112018
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
102020
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
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
62019
Quantum language processing
N Wiebe, A Bocharov, P Smolensky, M Troyer, KM Svore
arXiv preprint arXiv:1902.05162, 2019
62019
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
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
2019
AStatistical CHARACTERIZATION OF ATTENTIONS IN GRAPH NEURAL NETWORKS
M Li, H Zhang, X Shi, M Wang, Z Zhang
Supplementary Materials for Collaborative Recurrent Autoencoder
H Wang, X Shi, DY Yeung
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Articles 1–20