Pengfei Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning	2020	Pengfei Liu Yimin Liu Tianyao Huang Yuxiang Lu Xiqin Wang
+ PDF Chat	Local-Set-Based Graph Signal Reconstruction	2015	Xiaohan Wang Pengfei Liu Yuantao Gu

Common Coauthors

Coauthor	Papers Together
Xiqin Wang	1
Tianyao Huang	1
Xiaohan Wang	1
Yuantao Gu	1
Yimin Liu	1
Yuxiang Lu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Spectral Graph Theory	1996	Fan Chung	1
+	Learning Laplacian Matrix in Smooth Graph Signal Representations	2014	Xiaowen Dong Dorina Thanou Pascal Frossard Pierre Vandergheynst	1
+	Irregular Sampling and Frames	1992	John J. Benedetto	1
+ PDF Chat	Sampling, Filtering and Sparse Approximations on Combinatorial Graphs	2010	Isaac Z. Pesenson Meyer Z. Pesenson	1
+ PDF Chat	Discrete stochastic models for traffic flow	1995	Michael Schreckenberg Andreas Schadschneider Kai Nagel Nobutaka Ito	1
+ PDF Chat	Poincaré and Plancherel--Polya Inequalities in Harmonic Analysis on Weighted Combinatorial Graphs	2013	Hartmut Führ Isaac Z. Pesenson	1
+ PDF Chat	Discrete Signal Processing on Graphs	2013	Aliaksei Sandryhaila José M. F. Moura	1
+ PDF Chat	Perfect Reconstruction Two-Channel Wavelet Filter Banks for Graph Structured Data	2012	Sunil K. Narang Antonio Ortega	1
+ PDF Chat	Variational Splines and Paley–Wiener Spaces on Combinatorial Graphs	2008	Isaac Z. Pesenson	1
+	Vertex-frequency analysis on graphs	2015	David I Shuman Benjamin Ricaud Pierre Vandergheynst	1
+ PDF Chat	Sampling in Paley-Wiener spaces on combinatorial graphs	2008	Isaac Z. Pesenson	1
+	A discrete theory of irregular sampling	1993	Karlheinz Gröchenig	1
+ PDF Chat	A Distributed Tracking Algorithm for Reconstruction of Graph Signals	2015	Xiaohan Wang Mengdi Wang Yuantao Gu	1
+	Poincaré-Type inequalities and reconstruction of Paley-Wiener functions on manifolds	2004	Isaac Z. Pesenson	1
+ PDF Chat	Localized iterative methods for interpolation in graph structured data	2013	Sunil K. Narang Akshay Gadde Eduard Sanou Antonio Ortega	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
+	Approximating signals supported on graphs	2012	Xiaofan Zhu Michael Rabbat	1
+ PDF Chat	A Spectral Graph Uncertainty Principle	2013	Ameya Agaskar Yue M. Lu	1
+ PDF Chat	Active semi-supervised learning using sampling theory for graph signals	2014	Akshay Gadde Aamir Anis Antonio Ortega	1
+ PDF Chat	Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames	2015	David I Shuman Christoph Wiesmeyr Nicki Holighaus Pierre Vandergheynst	1
+ PDF Chat	An Introduction to Frames and Riesz Bases	2005	Eric Weber Ole Christensen	1
+ PDF Chat	Reconstruction algorithms in irregular sampling	1992	Karlheinz Gröchenig	1
+ PDF Chat	Throughput-Optimal Opportunistic Scheduling in the Presence of Flow-Level Dynamics	2011	Shihuan Liu Lei Ying R. Srikant	1
+	Wavelets on graphs via spectral graph theory	2010	David K. Hammond Pierre Vandergheynst Rémi Gribonval	1
+	Recovery of signals from nonuniform samples using iterative methods	1991	Farokh Marvasti Mostafa Analoui M. Gamshadzahi	1
+ PDF Chat	On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance	2008	Qing Zhao Bhaskar Krishnamachari Keqin Liu	1
+	A Framework for Multiscale Transforms on Graphs.	2013	David I Shuman Mohammad Javad Faraji Pierre Vandergheynst	1
+	Learning Graphs from Signal Observations under Smoothness Prior.	2014	Xiaowen Dong Dorina Thanou Pascal Frossard Pierre Vandergheynst	1
+ PDF Chat	Spectrum Sharing Radar: Coexistence via Xampling	2017	Déborah Cohen Kumar Vijay Mishra Yonina C. Eldar	1
+	Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach	2018	Hao-Hsuan Chang Hao Song Yang Yi Jianzhong Zhang Haibo He Lingjia Liu	1
+ PDF Chat	Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access	2018	Oshri Naparstek Kobi Cohen	1
+	A Multiscale Pyramid Transform for Graph Signals	2013	David I Shuman Mohammad Javad Faraji Pierre Vandergheynst	1
+	Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames	2013	David I Shuman Christoph Wiesmeyr Nicki Holighaus Pierre Vandergheynst	1
+	Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks	2018	Shangxing Wang Hanpeng Liu Pedro Henrique Gomes Bhaskar Krishnamachari	1
+ PDF Chat	Reinforcement learning-based waveform optimization for MIMO multi-target detection	2018	Li Wang Stefano Fortunati Maria Greco Fulvio Gini	1
+	Diffusion wavelets	2006	Ronald R. Coifman Mauro Maggioni	1
+	Vertex-Frequency Analysis on Graphs	2013	David I Shuman Benjamin Ricaud Pierre Vandergheynst	1
+	Theory and practice of irregular sampling	2021	Hans G. Feichtinger Karlheinz Gröchenig	1
+	Nonuniform sampling : theory and practice	2001	Farokh Marvasti	1