Xiaoyuan Liu - RankMe

24 papers Misc 4Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Neural Architecture Search Algorithms for Quantum Autoencoders. CoRR Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
2025	—	`conf`	Partition-based Surface Code Compilation. HPEC Hanjing Xu, Xiaoyuan Liu, Ankit Kulshrestha, Hayato Ushijima-Mwesigwa
2025	—	`conf`	QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks. HPEC Hanjing Xu, Xiaoyuan Liu, Alex Pothen, Ilya Safro
2025	J	`jnl`	QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks. CoRR Hanjing Xu, Xiaoyuan Liu, Alex Pothen, Ilya Safro
2024	Misc	`conf`	QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. QCE Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro
2024	J	`jnl`	QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. CoRR Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro
2023	—	`conf`	An Ising-based Model for Qubit Mapping. SC Workshops Hayato Ushijima-Mwesigwa, Xiaoyuan Liu
2023	—	`conf`	Decomposition Based Refinement for the Network Interdiction Problem. HPEC Krish Matta, Xiaoyuan Liu, Ilya Safro
2023	J	`jnl`	Decomposition Based Refinement for the Network Interdiction Problem. CoRR Krish Matta, Xiaoyuan Liu, Ilya Safro
2023	—	`conf`	Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. HPEC Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
2023	J	`jnl`	Learning To Optimize Quantum Neural Network Without Gradients. CoRR Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
2023	Misc	`conf`	Learning to Optimize Quantum Neural Networks Without Gradients. QCE Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
2022	J	`jnl`	Leveraging special-purpose hardware for local search heuristics. Comput. Optim. Appl. Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy
2022	—	`conf`	Partitioning Dense Graphs with Hardware Accelerators. ICCS (3) Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
2022	J	`jnl`	Partitioning Dense Graphs with Hardware Accelerators. CoRR Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
2022	Misc	`conf`	Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. QCE Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
2022	J	`jnl`	Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. CoRR Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
2022	—	`conf`	Towards Practical Explainability with Cluster Descriptors. ICDM (Workshops) Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
2022	J	`jnl`	Towards Practical Explainability with Cluster Descriptors. CoRR Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
2021	J	`jnl`	ELRUNA: Elimination Rule-based Network Alignment. ACM J. Exp. Algorithmics Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
2021	J	`jnl`	Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. CoRR Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio
2021	Misc	`conf`	Transferability of optimal QAOA parameters between random graphs. QCE Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro
2019	J	`jnl`	Network Alignment by Propagating Reliable Similarities. CoRR Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
2019	J	`jnl`	On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware. CoRR Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy