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

Featured Co-authors

Hao Wang
268 publications
Zhangyang Wang
182 publications
Irwin King
79 publications
Yi Zhu
74 publications
Mu Li
56 publications
George Karypis
54 publications
Hang Zhang
40 publications
Shuai Zheng
40 publications
Zhi Zhang
39 publications
Dit-Yan Yeung
36 publications
Yuyang Wang
33 publications

∙ 07/12/2022

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

Conventionally, Earth system (e.g., weather and climate) forecasting rel...

Zhihan Gao, et al. ∙

∙ 07/04/2022

Removing Batch Normalization Boosts Adversarial Training

Adversarial training (AT) defends deep neural networks against adversari...

Haotao Wang, et al. ∙

∙ 04/13/2022

Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar

We introduce NSEdit (neural-symbolic edit), a novel Transformer-based co...

Yaojie Hu, et al. ∙

∙ 11/04/2021

Benchmarking Multimodal AutoML for Tabular Data with Text Fields

We consider the use of automated supervised learning systems for data ta...

Xingjian Shi, et al. ∙

∙ 09/23/2021

Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing

We aim to identify how different components in the KD pipeline affect th...

Haoyu He, et al. ∙

∙ 07/09/2019

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

We present GluonCV and GluonNLP, the deep learning toolkits for computer...

Jian Guo, et al. ∙

∙ 05/27/2019

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

We propose a new STAcked and Reconstructed Graph Convolutional Networks ...

Jiani Zhang, et al. ∙

∙ 08/21/2018

Machine Learning for Spatiotemporal Sequence Forecasting: A Survey

Spatiotemporal systems are common in the real-world. Forecasting the mul...

Xingjian Shi, et al. ∙

∙ 03/20/2018

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

We propose a new network architecture, Gated Attention Networks (GaAN), ...

Jiani Zhang, et al. ∙

∙ 07/25/2017

Spatiotemporal Modeling for Crowd Counting in Videos

Region of Interest (ROI) crowd counting can be formulated as a regressio...

Feng Xiong, et al. ∙

∙ 06/12/2017

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

With the goal of making high-resolution forecasts of regional rainfall, ...

Xingjian Shi, et al. ∙

∙ 11/24/2016

Dynamic Key-Value Memory Networks for Knowledge Tracing

Knowledge Tracing (KT) is a task of tracing evolving knowledge state of ...

Jiani Zhang, et al. ∙

∙ 11/02/2016

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

Hybrid methods that utilize both content and rating information are comm...

Hao Wang, et al. ∙

∙ 11/02/2016

Natural-Parameter Networks: A Class of Probabilistic Neural Networks

Neural networks (NN) have achieved state-of-the-art performance in vario...

Hao Wang, et al. ∙

∙ 06/13/2015

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

The goal of precipitation nowcasting is to predict the future rainfall i...

Xingjian Shi, et al. ∙