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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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LookHops: light multi-order convolution and pooling for graph classification

Dec 28, 2020
Zhangyang Gao, Haitao Lin, Stan. Z Li

* 9 pages, 5 figures 

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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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Clustering Based on Graph of Density Topology

Sep 24, 2020
Zhangyang Gao, Haitao Lin, Stan. Z Li

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Neural Pose Transfer by Spatially Adaptive Instance Normalization

Mar 16, 2020
Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang

* Accepted by CVPR2020 

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Pulsars Detection by Machine Learning with Very Few Features

Feb 20, 2020
Haitao Lin, Xiangru Li, Ziying Luo

* 13 pages, 7 figures 

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