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Explainable Fairness in Recommendation


Apr 24, 2022
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang


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RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network


Feb 28, 2022
Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong

* WWW'22 

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Flexible learning of quantum states with generative query neural networks


Feb 14, 2022
Yan Zhu, Ya-Dong Wu, Ge Bai, Yuexuan Wang, Giulio Chiribella


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Efficient Dynamic Graph Representation Learning at Scale


Dec 14, 2021
Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song


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Time-based Sequence Model for Personalization and Recommendation Systems


Aug 27, 2020
Tigran Ishkhanov, Maxim Naumov, Xianjie Chen, Yan Zhu, Yuan Zhong, Alisson Gusatti Azzolini, Chonglin Sun, Frank Jiang, Andrey Malevich, Liang Xiong

* 17 pages, 7 figures 

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Representation Learning by Reconstructing Neighborhoods


Nov 06, 2018
Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn Keogh


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The UCR Time Series Archive


Oct 17, 2018
Hoang Anh Dau, Anthony Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn Keogh


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Admissible Time Series Motif Discovery with Missing Data


Feb 15, 2018
Yan Zhu, Abdullah Mueen, Eamonn Keogh


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Interactive Reinforcement Learning for Object Grounding via Self-Talking


Dec 02, 2017
Yan Zhu, Shaoting Zhang, Dimitris Metaxas

* NIPS 2017 - Visually-Grounded Interaction and Language (ViGIL) Workshop 

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Semantic Amodal Segmentation


Dec 14, 2016
Yan Zhu, Yuandong Tian, Dimitris Mexatas, Piotr Dollár

* major update including new COCO data, metrics, and baselines 

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