Xingjian Shi

According to our database1, Xingjian Shi authored at least 16 papers between 2014 and 2020.

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Timeline

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Bibliography

2020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J. Mach. Learn. Res., 2020

2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
CoRR, 2019

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dive into Deep Learning for Natural Language Processing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey.
CoRR, 2018

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017
Dynamic Key-Value Memory Networks for Knowledge Tracing.
Proceedings of the 26th International Conference on World Wide Web, 2017

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Spatiotemporal Modeling for Crowd Counting in Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Relational Deep Learning: A Deep Latent Variable Model for Link Prediction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dynamic Key-Value Memory Network for Knowledge Tracing.
CoRR, 2016

Natural-Parameter Networks: A Class of Probabilistic Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Relational Stacked Denoising Autoencoder for Tag Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Denoising predictive sparse decomposition.
Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014


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