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MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

Jul 07, 2020
Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu


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Trust in Recommender Systems: A Deep Learning Perspective

Apr 08, 2020
Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu


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Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

Sep 18, 2019
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li


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Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning

Jul 31, 2019
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong

* 12 pages 

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Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals

Jul 31, 2019
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao

* 12 pages 

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GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest

Jun 24, 2018
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang


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Opinion Fraud Detection via Neural Autoencoder Decision Forest

May 09, 2018
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning


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