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Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement

Oct 16, 2020
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou


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XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup

Jul 20, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou


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Generating Person Images with Appearance-aware Pose Stylizer

Jul 17, 2020
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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RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr

Jul 07, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou

* Accepted by ICML'2020 

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COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization

Apr 26, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu


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Parameter-Free Style Projection for Arbitrary Style Transfer

Mar 17, 2020
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou

* 9 pages, 12 figures 

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Curriculum Audiovisual Learning

Jan 26, 2020
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou


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Ultrafast Photorealistic Style Transfer via Neural Architecture Search

Dec 05, 2019
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo


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SecureGBM: Secure Multi-Party Gradient Boosting

Nov 27, 2019
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

Nov 18, 2019
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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Fast Universal Style Transfer for Artistic and Photorealistic Rendering

Jul 06, 2019
Jie An, Haoyi Xiong, Jiebo Luo, Jun Huan, Jinwen Ma


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The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation

Jun 18, 2019
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Zhanxing Zhu


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StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks

Jun 06, 2019
Jie An, Haoyi Xiong, Jinwen Ma, Jiebo Luo, Jun Huan


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DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

Jan 26, 2019
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan

* Accepted at ICLR 2019 

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Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent

Jan 18, 2019
Wenqing Hu, Zhanxing Zhu, Haoyi Xiong, Jun Huan

* first and preliminary version 

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CSWA: Aggregation-Free Spatial-Temporal Community Sensing

Nov 15, 2017
Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das

* This paper has been accepted by AAAI 2018. First two authors are equally contributed 

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FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification

Apr 25, 2017
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo


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Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis

Oct 19, 2016
Haoyi Xiong, Yanjie Fu, Wenqing Hu, Guanling Chen, Laura E. Barnes


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CT-Mapper: Mapping Sparse Multimodal Cellular Trajectories using a Multilayer Transportation Network

Apr 22, 2016
Fereshteh Asgari, Alexis Sultan, Haoyi Xiong, Vincent Gauthier, Mounim El-Yacoubi

* Under revision in Computer Communication Journal 

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