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GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction


Jun 21, 2021
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li


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Self-supervised on Graphs: Contrastive, Generative,or Predictive


May 24, 2021
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li


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AutoMix: Unveiling the Power of Mixup


Mar 24, 2021
Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li

* The first version of AutoMix. 13 pages, 11 figures 

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Conditional Local Filters with Explainers for Spatio-Temporal Forecasting


Jan 04, 2021
Haitao Lin, Zhangyang Gao, Lirong Wu, Stan. Z. Li


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Consistent Representation Learning for High Dimensional Data Analysis


Dec 01, 2020
Stan Z. Li, Lirong Wu, Zelin Zang


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Deep Manifold Computing and Visualization


Oct 28, 2020
Stan Z. Li, Zelin Zang, Lirong Wu


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Invertible Manifold Learning for Dimension Reduction


Oct 07, 2020
Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li

* 18 pages. We propose a novel invertible dimension reduction process for manifold learning with a neural network implementation, and explore the inherent difficulty of manifold learning in real-world secnarios by the way 

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Deep Clustering and Representation Learning that Preserves Geometric Structures


Sep 29, 2020
Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan. Z Li

* 20 pages 

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Deep Clustering and Representation Learning with Geometric Structure Preservation


Sep 21, 2020
Lirong Wu, Zicheng Liu, Jun Xia, Siyuan Li, Stan. Z Li

* 20 pages 

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Markov-Lipschitz Deep Learning


Jun 21, 2020
Stan Z. Li, Zelin Zhang, Lirong Wu


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A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video


Jan 18, 2020
Lirong Wu, Kejie Huang, Haibin Shen, Lianli Gao


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A GAN-based Tunable Image Compression System


Jan 18, 2020
Lirong Wu, Kejie Huang, Haibin Shen


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