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Jun Huan

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An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity

Feb 03, 2019
Yingzhen Yang, Xingjian Li, 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

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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

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Instance-based Deep Transfer Learning

Sep 08, 2018
Tianyang Wang, Jun Huan, Michelle Zhu

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Data Dropout: Optimizing Training Data for Convolutional Neural Networks

Sep 07, 2018
Tianyang Wang, Jun Huan, Bo Li

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Discriminatory Transfer

Aug 07, 2017
Chao Lan, Jun Huan

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On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics

Aug 07, 2017
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan

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Learning Social Circles in Ego Networks based on Multi-View Social Graphs

Dec 24, 2016
Chao Lan, Yuhao Yang, Xiaoli Li, Bo Luo, Jun Huan

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