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On the Role of Sparsity and DAG Constraints for Learning Linear DAGs


Jun 17, 2020
Ignavier Ng, AmirEmad Ghassami, Kun Zhang

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* 24 pages, 10 figures 

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Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach


May 25, 2020
Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang

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* Accepted by SIGIR2020 

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A Causal View on Robustness of Neural Networks


May 03, 2020
Cheng Zhang, Kun Zhang, Yingzhen Li

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Learning from Positive and Unlabeled Data by Identifying the Annotation Process


Mar 02, 2020
Naji Shajarisales, Peter Spirtes, Kun Zhang

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* Submitted to UAI 2020 

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Domain Adaptation As a Problem of Inference on Graphical Models


Feb 14, 2020
Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour

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* 17 pages; 6 figures 

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Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach


Jan 28, 2020
Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang

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* The updated version is publised in AAAI 2020 

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Deep Technology Tracing for High-tech Companies


Jan 02, 2020
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma

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* 6 pages, 7 figures 

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Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs


Dec 12, 2019
Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si

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Transfer Learning-Based Outdoor Position Recovery with Telco Data


Dec 10, 2019
Yige Zhang, Aaron Yi Ding, Jorg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao

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