Targeting the Most Important Words Across the Entire Corpus in NLP Adversarial Attacks. - Reza Marzban; Johnson Thomas; Christopher Crick (ICAISC (2), 2021)

Deep NLP Explainer: Using Prediction Slope to Explain NLP Models. - Reza Marzban; Christopher Crick (ICANN (2), 2021)

Interpreting Convolutional Networks Trained on Textual Data. - Reza Marzban; Christopher Crick (ICPRAM, 2021)

Lifting Sequence Length Limitations of NLP Models using Autoencoders. - Reza Marzban; Christopher Crick (ICPRAM, 2021)

Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding. - Balaji Muralidharan; Hayden Beadles; Reza Marzban; Kalyan Sashank Mupparaju (CoRR, 2024)

Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets. - Ghazal Kaviani; Reza Marzban; Ghassan AlRegib (CoRR, 2024)

HiLAB: A Hybrid Inverse-Design Framework. - Reza Marzban; Hamed Abiri; Raphaël Pestourie; Ali Adibi (CoRR, 2025)

Inverse Design in Nanophotonics via Representation Learning. - Reza Marzban; Ali Adibi; Raphaël Pestourie (CoRR, 2025)