Chu Wang

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All published works

Action	Title	Year	Authors
+	Local Spectral Graph Convolution for Point Set Feature Learning	2018	Chu Wang Babak Samari Kaleem Siddiqi
+	Self-Sustaining Iterated Learning	2016	Bernard Chazelle Chu Wang

Common Coauthors

Coauthor	Papers Together
Kaleem Siddiqi	1
Bernard Chazelle	1
Babak Samari	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Spectral Graph Theory	1996	Fan Chung	1
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	1
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	1
+ PDF Chat	Eigenvalues and Condition Numbers of Random Matrices	1988	Alan Edelman	1
+ PDF Chat	The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains	2013	David I Shuman Sunil K. Narang Pascal Frossard Antonio Ortega Pierre Vandergheynst	1
+ PDF Chat	Smallest singular value of a random rectangular matrix	2009	Mark Rudelson Roman Vershynin	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+ PDF Chat	Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs	2017	Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda Michael M. Bronstein	1
+	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2016	Charles R. Qi Hao Su Kaichun Mo Leonidas Guibas	1
+	Multi-view Convolutional Neural Networks for 3D Shape Recognition	2015	Hang Su Subhransu Maji Evangelos Kalogerakis Erik Learned-Miller	1
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	1
+ PDF Chat	SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation	2017	Li Yi Hao Su Xingwen Guo Leonidas Guibas	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1