| 2024 | ACSSC | Graph Signal Processing: Frequency Analysis for Similar Matrices. | John Shi, Jos M. F. Moura |
| 2024 | ACSSC | Graph Signal Representations. | John Shi, Jos M. F. Moura |
| 2024 | ICASSP | Graph Convolutional Neural Networks In The Companion Model. | John Shi, Shreyas Chaudhari, Jos M. F. Moura |
| 2024 | ICASSP | Graph Signal Processing: The 2D Companion Model. | John Shi, Jos M. F. Moura |
| 2023 | ACSSC | Graph Classification via Simple Graph Based Features. | Farida Abdelmoneum, John Shi, Jos M. F. Moura |
| 2023 | ACSSC | Extending DSP to Graph Signal Processing: The Companion Approach. | John Shi, Jos M. F. Moura |
| 2022 | ACSSC | From DSP to GSP: Sampling in Both Domains. | John Shi, Jos M. F. Moura |
| 2021 | ACSSC | Using Sparse Spectral Shifts in Graph CNNs. | Austin Lin, Wendy Summer, John Shi, Mark Cheung, Jos M. F. Moura |
| 2020 | ACSSC | Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. | Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, Jos M. F. Moura |
| 2020 | ACSSC | A Dual Approach to Graph CNNs. | John Shi, Mark Cheung, Wendy Summer, Jos M. F. Moura |
| 2019 | ACSSC | Pooling in Graph Convolutional Neural Networks. | Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, Jos M. F. Moura |
| 2019 | ACSSC | Topics in Graph Signal Processing: Convolution and Modulation. | John Shi, Jos M. F. Moura |
| 2018 | ACSSC | Classification with Vertex-Based Graph Convolutional Neural Networks. | John Shi, Mark Cheung, Jian Du, Jos M. F. Moura |
| 2001 | SMC | Modeling of supercritical fluid extraction by artificial neural networks. | Hao Li, Simon X. Yang, John Shi |