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Earthformer: Exploring Space-Time Transformers for Earth System Forecasting


Jul 12, 2022
Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung

* Technical report 

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Removing Batch Normalization Boosts Adversarial Training


Jul 04, 2022
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

* ICML 2022 

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Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar


Apr 13, 2022
Yaojie Hu, Xingjian Shi, Qiang Zhou, Lee Pike

* ICLR 2022 Deep Learning for Code workshop 

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Benchmarking Multimodal AutoML for Tabular Data with Text Fields


Nov 04, 2021
Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola

* Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks 2021 

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


Sep 23, 2021
Haoyu He, Xingjian Shi, Jonas Mueller, Zha Sheng, Mu Li, George Karypis


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


Jul 09, 2019
Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng


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


May 27, 2019
Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King


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Machine Learning for Spatiotemporal Sequence Forecasting: A Survey


Aug 21, 2018
Xingjian Shi, Dit-Yan Yeung


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


Mar 20, 2018
Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung


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


Oct 05, 2017
Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo

* NIPS 2017 Spotlight 

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