Network Alignment by Propagating Reliable Similarities. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (CoRR, 2019)

On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware. - Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Avradip Mandal; Sarvagya Upadhyay; Ilya Safro; Arnab Roy 001 (CoRR, 2019)

Transferability of optimal QAOA parameters between random graphs. - Alexey Galda; Xiaoyuan Liu 001; Danylo Lykov; Yuri Alexeev; Ilya Safro (QCE, 2021)

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. - Xiaoyuan Liu 001; Anthony Angone; Ruslan Shaydulin; Ilya Safro; Yuri Alexeev; Lukasz Cincio (CoRR, 2021)

ELRUNA: Elimination Rule-based Network Alignment. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (ACM J. Exp. Algorithmics, 2021)

Partitioning Dense Graphs with Hardware Accelerators. - Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Indradeep Ghosh; Ilya Safro (ICCS (3), 2022)

Towards Practical Explainability with Cluster Descriptors. - Xiaoyuan Liu 001; Ilya Tyagin; Hayato Ushijima-Mwesigwa; Indradeep Ghosh; Ilya Safro (ICDM (Workshops), 2022)

Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. - Xiaoyuan Liu 001; Ruslan Shaydulin; Ilya Safro (QCE, 2022)

Leveraging special-purpose hardware for local search heuristics. - Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Avradip Mandal; Sarvagya Upadhyay; Ilya Safro; Arnab Roy 001 (Comput. Optim. Appl., 2022)

Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. - Anthony Angone; Xiaoyuan Liu 001; Ruslan Shaydulin; Ilya Safro (HPEC, 2023)

Decomposition Based Refinement for the Network Interdiction Problem. - Krish Matta; Xiaoyuan Liu 001; Ilya Safro (HPEC, 2023)

Learning to Optimize Quantum Neural Networks Without Gradients. - Ankit Kulshrestha; Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Ilya Safro (QCE, 2023)

An Ising-based Model for Qubit Mapping. - Hayato Ushijima-Mwesigwa; Xiaoyuan Liu 001 (SC Workshops, 2023)

Learning To Optimize Quantum Neural Network Without Gradients. - Ankit Kulshrestha; Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Ilya Safro (CoRR, 2023)

QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. - Ankit Kulshrestha; Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Bao Bach; Ilya Safro (QCE, 2024)