John Shi

According to our database, John Shi authored at least 17 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sampling in the Graph Signal Processing Companion Model.

John Shi, José M. F. Moura

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Graph Signal Processing: The 2D Companion Model.

John Shi, José M. F. Moura

Proceedings of the IEEE International Conference on Acoustics, 2024

Graph Convolutional Neural Networks In The Companion Model.

John Shi, Shreyas Chaudhari, José M. F. Moura

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Extending DSP to Graph Signal Processing: The Companion Approach.

John Shi, José M. F. Moura

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Graph Classification via Simple Graph Based Features.

Farida Abdelmoneum, John Shi, José M. F. Moura

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Graph Signal Processing: Dualizing GSP Sampling in the Vertex and Spectral Domains.

John Shi, José M. F. Moura

IEEE Trans. Signal Process., 2022

From DSP to GSP: Sampling in Both Domains.

John Shi, José M. F. Moura

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Using Sparse Spectral Shifts in Graph CNNs.

Austin Lin, Wendy Summer, John Shi, Mark Cheung, José M. F. Moura

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology.

Mark Cheung, John Shi, Oren Wright, Lavender Yao Jiang, Xujin Liu, José M. F. Moura

IEEE Signal Process. Mag., 2020

A Dual Approach to Graph CNNs.

John Shi, Mark Cheung, Wendy Summer, José M. F. Moura

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification.

Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Topics in Graph Signal Processing: Convolution and Modulation.

John Shi, José M. F. Moura

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Pooling in Graph Convolutional Neural Networks.

Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

On Graph Convolution for Graph CNNs.

Jian Du, John Shi, Soummya Kar, José M. F. Moura

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Classification with Vertex-Based Graph Convolutional Neural Networks.

John Shi, Mark Cheung, Jian Du, José M. F. Moura

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2003

Modeling of Supercritical Fluid Extraction by Neural Networks.

Simon X. Yang, Hao Li, John Shi

Intell. Autom. Soft Comput., 2003

2001

Modeling of supercritical fluid extraction by artificial neural networks.

Hao Li, Simon X. Yang, John Shi

Proceedings of the IEEE International Conference on Systems, 2001