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Journal Articles
- 2024
[j4]Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates:
DyG2Vec: Efficient Representation Learning for Dynamic Graphs. Trans. Mach. Learn. Res. 2024 (2024)- [j3]Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang:
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j2]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:
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. NeuroImage 278: 120289 (2023) - 2022
- [j1]Mahdi Biparva, David Fernández Llorca, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Video Action Recognition for Lane-Change Classification and Prediction of Surrounding Vehicles. IEEE Trans. Intell. Veh. 7(3): 569-578 (2022)
Conference and Workshop Papers
- 2024
- [c4]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:
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. ACL (1) 2024: 14169-14187 - 2020
- [c3]David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. ITSC 2020: 1-6 - 2018
- [c2]Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos:
Priming Neural Networks. CVPR Workshops 2018: 2011-2020 - 2017
- [c1]Mahdi Biparva, John K. Tsotsos:
STNet: Selective Tuning of Convolutional Networks for Object Localization. ICCV Workshops 2017: 2715-2723
Informal and Other Publications
- 2024
- [i16]Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang:
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. CoRR abs/2402.05944 (2024) - [i15]Mahdi Naseri, Mahdi Biparva:
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning. CoRR abs/2402.06737 (2024) - [i14]Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Ali Ghodsi:
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization. CoRR abs/2402.09586 (2024) - [i13]Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali Ghodsi:
Scalable Graph Self-Supervised Learning. CoRR abs/2402.09603 (2024) - [i12]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:
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. CoRR abs/2406.10393 (2024) - [i11]Faezeh Faez, Raika Karimi, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva:
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization. CoRR abs/2409.06077 (2024) - [i10]Raika Karimi, Faezeh Faez, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva:
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers. CoRR abs/2409.10653 (2024) - 2022
- [i9]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:
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. CoRR abs/2203.06060 (2022) - [i8]Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates:
DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision. CoRR abs/2210.16906 (2022) - 2021
- [i7]Mahdi Biparva, David Fernández Llorca, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Video action recognition for lane-change classification and prediction of surrounding vehicles. CoRR abs/2101.05043 (2021) - 2020
- [i6]Mahdi Biparva, John K. Tsotsos:
Selective Segmentation Networks Using Top-Down Attention. CoRR abs/2002.01125 (2020) - [i5]Mahdi Biparva, John K. Tsotsos:
Compact Neural Representation Using Attentive Network Pruning. CoRR abs/2005.04559 (2020) - [i4]David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. CoRR abs/2008.10869 (2020) - [i3]Mahdi Biparva, John K. Tsotsos:
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks. CoRR abs/2011.10857 (2020) - 2017
- [i2]Mahdi Biparva, John K. Tsotsos:
STNet: Selective Tuning of Convolutional Networks for Object Localization. CoRR abs/1708.06418 (2017) - [i1]Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos:
Priming Neural Networks. CoRR abs/1711.05918 (2017)
Coauthor Index
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