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Semi-Supervised Active Learning with Temporal Output Discrepancy



Siyu Huang , Tianyang Wang , Haoyi Xiong , Jun Huan , Dejing Dou

* ICCV 2021. Code is available at https://github.com/siyuhuang/TOD 

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Attentive Social Recommendation: Towards User And Item Diversities



Dongsheng Luo , Yuchen Bian , Xiang Zhang , Jun Huan

* 8 Pages 

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Generating Person Images with Appearance-aware Pose Stylizer



Siyu Huang , Haoyi Xiong , Zhi-Qi Cheng , Qingzhong Wang , Xingran Zhou , Bihan Wen , Jun Huan , Dejing Dou

* Appearing at IJCAI 2020. The code is available at https://github.com/siyuhuang/PoseStylizer 

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Parameter-Free Style Projection for Arbitrary Style Transfer



Siyu Huang , Haoyi Xiong , Tianyang Wang , Qingzhong Wang , Zeyu Chen , Jun Huan , Dejing Dou

* 9 pages, 12 figures 

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Ultrafast Photorealistic Style Transfer via Neural Architecture Search



Jie An , Haoyi Xiong , Jun Huan , Jiebo Luo


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SecureGBM: Secure Multi-Party Gradient Boosting



Zhi Fengy , Haoyi Xiong , Chuanyuan Song , Sijia Yang , Baoxin Zhao , Licheng Wang , Zeyu Chen , Shengwen Yang , Liping Liu , Jun Huan

* The first two authors contributed equally to the manuscript. The paper has been accepted for publication in IEEE BigData 2019 

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Towards Making Deep Transfer Learning Never Hurt



Ruosi Wan , Haoyi Xiong , Xingjian Li , Zhanxing Zhu , Jun Huan

* accapted as long paper at the 19th IEEE International Conference on Data Mining, 2019 
* 10 pages 

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NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks



Isaac Ahern , Adam Noack , Luis Guzman-Nateras , Dejing Dou , Boyang Li , Jun Huan


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