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A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction

Apr 05, 2021
Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo

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Mutual Information Maximization for Effective Lip Reading

Mar 13, 2020
Xing Zhao, Shuang Yang, Shiguang Shan, Xilin Chen

* 8 pages, Accepted in the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) 

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Learning to Hash with Graph Neural Networks for Recommender Systems

Mar 04, 2020
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu

* 11 pages, 7 figures 

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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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Attenuating Random Noise in Seismic Data by a Deep Learning Approach

Oct 28, 2019
Xing Zhao, Ping Lu, Yanyan Zhang, Jianxiong Chen, Xiaoyang Li

* 33 pages, 11 figures 

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Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings

Aug 18, 2019
Bao Xin Chen, Raghavender Sahdev, Dekun Wu, Xing Zhao, Manos Papagelis, John K. Tsotsos

* Workshop of International Conference of Robotics and Automation, 2019 

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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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Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders

Nov 09, 2015
Zhouhan Lin, Yushi Chen, Xing Zhao, Gang Wang

* Accepted as a conference paper at ICICS 2013, an updated version. Codes published. 9 pages, 6 figures 

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