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Kun Zhang

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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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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