Mahdi Biparva

According to our database, Mahdi Biparva authored at least 18 papers between 2017 and 2025.

Collaborative distances:

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

2025

When Engineering Outruns Intelligence: A Re-evaluation of Instruction-Guided Navigation.

Matin Aghaei, Mohammad Ali Alomrani, Yingxue Zhang, Mahdi Biparva

CoRR, July, 2025

MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization.

Faezeh Faez, Raika Karimi, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization.

Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang

Trans. Mach. Learn. Res., 2024

DyG2Vec: Efficient Representation Learning for Dynamic Graphs.

Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

Trans. Mach. Learn. Res., 2024

Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers.

Raika Karimi, Faezeh Faez, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva

CoRR, 2024

Scalable Graph Self-Supervised Learning.

Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali Ghodsi

CoRR, 2024

WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization.

Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Ali Ghodsi

CoRR, 2024

ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning.

Mahdi Naseri, Mahdi Biparva

CoRR, 2024

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, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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, Maged Goubran

NeuroImage, September, 2023

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

DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision.

Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

CoRR, 2022

2020

Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks.

Mahdi Biparva, John K. Tsotsos

CoRR, 2020

Compact Neural Representation Using Attentive Network Pruning.

Mahdi Biparva, John K. Tsotsos

CoRR, 2020

Selective Segmentation Networks Using Top-Down Attention.

Mahdi Biparva, John K. Tsotsos

CoRR, 2020

Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles.

David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2018

Priming Neural Networks.

Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

STNet: Selective Tuning of Convolutional Networks for Object Localization.

Mahdi Biparva, John K. Tsotsos

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017