| 2025 | QCE | Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of Low Depth. | Bao G. Bach, Filip B. Maciejewski, Ilya Safro |
| 2025 | QCE | Optimal Fermion-Qubit Mappings via Quadratic Assignment. | Mitchell Chiew, Cameron Ibrahim, Ilya Safro, Sergii Strelchuk |
| 2025 | QCE | Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: a Machine Learning Approach. | Kien X. Nguyen, Bao Bach, Ilya Safro |
| 2025 | QCE | QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks. | Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Samee U. Khan, Ilya Safro, Khoa Luu |
| 2025 | QCE | QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits. | Ilya Tyagin, Marwa H. Farag, Kyle Sherbert, Karunya Shirali, Yuri Alexeev, Ilya Safro |
| 2024 | QCE | MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA. | Bao Bach, Jose Falla, Ilya Safro |
| 2024 | QCE | Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization. | Cameron Ibrahim, Teague Tomesh, Zain H. Saleem, Ilya Safro |
| 2024 | QCE | QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. | Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro |
| 2023 | QCE | Learning to Optimize Quantum Neural Networks Without Gradients. | Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro |
| 2023 | QCE | Parameter Transferability in QAOA Under Noisy Conditions. | Quinn Langfitt, Jose Falla, Ilya Safro, Yuri Alexeev |
| 2023 | SC | QArchSearch: A Scalable Quantum Architecture Search Package. | Ankit Kulshrestha, Ilya Safro, Yuri Alexeev |
| 2022 | AAAI | Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. | Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro |
| 2022 | ICCS | Partitioning Dense Graphs with Hardware Accelerators. | Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro |
| 2022 | ICDM | Towards Practical Explainability with Cluster Descriptors. | Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro |
| 2022 | QCE | BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. | Ankit Kulshrestha, Ilya Safro |
| 2022 | QCE | Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. | Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro |
| 2021 | QCE | Transferability of optimal QAOA parameters between random graphs. | Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro |
| 2020 | CIKM | AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach. | Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro |
| 2017 | ESANN | Algebraic multigrid support vector machines. | Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, Andr Luckow, Talayeh Razzaghi, Ilya Safro |
| 2017 | KDD | MOLIERE: Automatic Biomedical Hypothesis Generation System. | Justin Sybrandt, Michael Shtutman, Ilya Safro |
| 2015 | FUSION | Multiscale network generation. | Alexander Gutfraind, Ilya Safro, Lauren Ancel Meyers |
| 2015 | FUSION | Fast imbalanced classification of healthcare data with missing values. | Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nick Marko |
| 2015 | ICCS | Scalable Multilevel Support Vector Machines. | Talayeh Razzaghi, Ilya Safro |