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Empirical Quantitative Analysis of COVID-19 Forecasting Models


Oct 01, 2021
Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda Petzold

* ICDM workshop 2021 

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Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning


Jan 06, 2020
Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu

* ICDM 2019, 1504-1509 
* The paper was accepted in the proceedings of the IEEE International Conference on Data Mining 2019 (ICDM'19), 1504-1509 

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Dynamic Graph Embedding via LSTM History Tracking


Nov 05, 2019
Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu


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Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning


Aug 16, 2019
Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen

* 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) 

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Drug Selection via Joint Push and Learning to Rank


May 18, 2018
Yicheng He, Junfeng Liu, Xia Ning


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