Xingjian Shi

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The Hong Kong University of Science and Technology

PhD in HKUST, Data Analyst(Intern) at Alibaba.com from Jul 2013 – Feb 2014

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

We present GluonCV and GluonNLP, the deep learning toolkits for computer...
07/09/2019 ∙ by Jian Guo, et al. ∙ 5 ∙ share

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STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

We propose a new STAcked and Reconstructed Graph Convolutional Networks ...
05/27/2019 ∙ by Jiani Zhang, et al. ∙ 12 ∙ share

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Machine Learning for Spatiotemporal Sequence Forecasting: A Survey

Spatiotemporal systems are common in the real-world. Forecasting the mul...
08/21/2018 ∙ by Xingjian Shi, et al. ∙ 0 ∙ share

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GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

We propose a new network architecture, Gated Attention Networks (GaAN), ...
03/20/2018 ∙ by Jiani Zhang, et al. ∙ 0 ∙ share

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Spatiotemporal Modeling for Crowd Counting in Videos

Region of Interest (ROI) crowd counting can be formulated as a regressio...
07/25/2017 ∙ by Feng Xiong, et al. ∙ 0 ∙ share

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Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

With the goal of making high-resolution forecasts of regional rainfall, ...
06/12/2017 ∙ by Xingjian Shi, et al. ∙ 0 ∙ share

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Dynamic Key-Value Memory Networks for Knowledge Tracing

Knowledge Tracing (KT) is a task of tracing evolving knowledge state of ...
11/24/2016 ∙ by Jiani Zhang, et al. ∙ 0 ∙ share

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Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

Hybrid methods that utilize both content and rating information are comm...
11/02/2016 ∙ by Hao Wang, et al. ∙ 0 ∙ share

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Natural-Parameter Networks: A Class of Probabilistic Neural Networks

Neural networks (NN) have achieved state-of-the-art performance in vario...
11/02/2016 ∙ by Hao Wang, et al. ∙ 0 ∙ share

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Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

The goal of precipitation nowcasting is to predict the future rainfall i...
06/13/2015 ∙ by Xingjian Shi, et al. ∙ 0 ∙ share

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Xingjian Shi

Featured Co-authors

Hao Wang

Irwin King

Mu Li

Dit-Yan Yeung

Shuai Zheng

Hang Zhang

Zhi Zhang

Tong He

He He

Hao Ma

Aston Zhang

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Machine Learning for Spatiotemporal Sequence Forecasting: A Survey

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Spatiotemporal Modeling for Crowd Counting in Videos

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

Dynamic Key-Value Memory Networks for Knowledge Tracing

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

Natural-Parameter Networks: A Class of Probabilistic Neural Networks

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting