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Xin Du

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles


Sep 21, 2021
Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy

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StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement


Aug 02, 2021
Yuda Song, Hui Qian, Xin Du

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A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage


Mar 16, 2020
Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu

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* 8 pages, 7 figures, accepted by ECAI 2020 
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Causal Discovery from Incomplete Data: A Deep Learning Approach


Jan 15, 2020
Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy

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Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data


Apr 30, 2019
Xin Du, Lei Sun, Wouter Duivesteijn, Alexander Nikolaev, Mykola Pechenizkiy

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Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention


Mar 27, 2019
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li

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struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding


May 25, 2018
Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy

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Semi-supervised structured output prediction by local linear regression and sub-gradient descent


Aug 16, 2016
Ru-Ze Liang, Wei Xie, Weizhi Li, Xin Du, Jim Jing-Yan Wang, Jingbin Wang

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* arXiv admin note: substantial text overlap with arXiv:1604.03010 
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Semi-supervised learning of local structured output predictors


Apr 11, 2016
Xin Du

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