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TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series

Oct 04, 2020
Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song


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Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Dec 18, 2019
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

* AAAI 2020 

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A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Nov 20, 2018
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla


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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Aug 14, 2017
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison Cottrell

* International Joint Conference on Artificial Intelligence (IJCAI), 2017 

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Exemplar-Centered Supervised Shallow Parametric Data Embedding

Jul 05, 2017
Martin Renqiang Min, Hongyu Guo, Dongjin Song

* accepted to IJCAI2017 

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A Shallow High-Order Parametric Approach to Data Visualization and Compression

Aug 16, 2016
Martin Renqiang Min, Hongyu Guo, Dongjin Song


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