STNet: Selective Tuning of Convolutional Networks for Object Localization. - Mahdi Biparva; John K. Tsotsos (ICCV Workshops, 2017)

Priming Neural Networks. - Amir Rosenfeld; Mahdi Biparva; John K. Tsotsos (CVPR Workshops, 2018)

Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. - David Fernández Llorca; Mahdi Biparva; Rubén Izquierdo Gonzalo; John K. Tsotsos (ITSC, 2020)

Selective Segmentation Networks Using Top-Down Attention. - Mahdi Biparva; John K. Tsotsos (CoRR, 2020)

Compact Neural Representation Using Attentive Network Pruning. - Mahdi Biparva; John K. Tsotsos (CoRR, 2020)

Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks. - Mahdi Biparva; John K. Tsotsos (CoRR, 2020)

DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision. - Mohammad Ali Alomrani; Mahdi Biparva; Yingxue Zhang 001; Mark Coates (CoRR, 2022)

Video Action Recognition for Lane-Change Classification and Prediction of Surrounding Vehicles. - Mahdi Biparva; David Fernández Llorca; Rubén Izquierdo Gonzalo; John K. Tsotsos (IEEE Trans. Intell. Veh., 2022)

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. - Lyndon Boone; Mahdi Biparva; Parisa Mojiri Forooshani; Joel Ramirez; Mario Masellis; Robert Bartha; Sean Symons; Stephen C. Strother; Sandra E. Black; Chris Heyn; Anne L. Martel; Richard H. Swartz; et al. (NeuroImage, 2023)

EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. - Mohammad Dehghan; Mohammad Ali Alomrani; Sunyam Bagga; David Alfonso-Hermelo; Khalil Bibi; Abbas Ghaddar; Yingxue Zhang 001; Xiaoguang Li; Jianye Hao; Qun Liu 001; Jimmy Lin; Boxing Chen; et al. (ACL (1), 2024)

ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning. - Mahdi Naseri; Mahdi Biparva (CoRR, 2024)

WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization. - Ali Saheb Pasand; Reza Moravej; Mahdi Biparva; Ali Ghodsi 001 (CoRR, 2024)

Scalable Graph Self-Supervised Learning. - Ali Saheb Pasand; Reza Moravej; Mahdi Biparva; Raika Karimi; Ali Ghodsi 001 (CoRR, 2024)

Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers. - Raika Karimi; Faezeh Faez; Yingxue Zhang 001; Xing Li; Lei Chen 031; Mingxuan Yuan; Mahdi Biparva (CoRR, 2024)

DyG2Vec: Efficient Representation Learning for Dynamic Graphs. - Mohammad Ali Alomrani; Mahdi Biparva; Yingxue Zhang 001; Mark Coates (Trans. Mach. Learn. Res., 2024)

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. - Mahdi Biparva; Raika Karimi; Faezeh Faez; Yingxue Zhang 001 (Trans. Mach. Learn. Res., 2024)

MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization. - Faezeh Faez; Raika Karimi; Yingxue Zhang 001; Xing Li; Lei Chen 031; Mingxuan Yuan; Mahdi Biparva (ASP-DAC, 2025)

When Engineering Outruns Intelligence: A Re-evaluation of Instruction-Guided Navigation. - Matin Aghaei; Mohammad Ali Alomrani; Yingxue Zhang 001; Mahdi Biparva (CoRR, 2025)