What Moser Could Have Asked: Counting Hamilton Cycles in Tournaments. - Neil J. Calkin; Beth Novick; Hayato Ushijima-Mwesigwa (Am. Math. Mon., 2016)

Graph Partitioning using Quantum Annealing on the D-Wave System. - Hayato Ushijima-Mwesigwa; Christian F. A. Negre; Susan M. Mniszewski (CoRR, 2017)

Utility Maximization Framework for Opportunistic Wireless Electric Vehicle Charging. - M. D. Zadid Khan; Mashrur Chowdhury; Sakib Mahmud Khan; Ilya Safro; Hayato Ushijima-Mwesigwa (CoRR, 2017)

Community Detection Across Emerging Quantum Architectures. - Ruslan Shaydulin; Hayato Ushijima-Mwesigwa; Ilya Safro; Susan M. Mniszewski; Yuri Alexeev (CoRR, 2018)

Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles. - Zadid Khan; Sakib Mahmud Khan; Mashrur Chowdhury; Ilya Safro; Hayato Ushijima-Mwesigwa (Comput. Aided Civ. Infrastructure Eng., 2019)

A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers. - Ruslan Shaydulin; Hayato Ushijima-Mwesigwa; Christian F. A. Negre; Ilya Safro; Susan M. Mniszewski; Yuri Alexeev (Computer, 2019)

Detecting Multiple Communities Using Quantum Annealing on the D-Wave System. - Christian F. A. Negre; Hayato Ushijima-Mwesigwa; Susan M. Mniszewski (CoRR, 2019)

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. - Hayato Ushijima-Mwesigwa; Jeffrey D. Hyman; Aric A. Hagberg; Ilya Safro; Satish Karra; Carl W. Gable; Gowri Srinivasan (CoRR, 2019)

Multilevel Combinatorial Optimization Across Quantum Architectures. - Hayato Ushijima-Mwesigwa; Ruslan Shaydulin; Christian F. A. Negre; Susan M. Mniszewski; Yuri Alexeev; 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)

Centralities for networks with consumable resources. - Hayato Ushijima-Mwesigwa; Zadid Khan; Mashrur A. Chowdhury; Ilya Safro (Netw. Sci., 2019)

Compressed Quadratization of Higher Order Binary Optimization Problems. - Avradip Mandal; Arnab Roy 001; Sarvagya Upadhyay; Hayato Ushijima-Mwesigwa (DCC, 2020)

Ising-Based Consensus Clustering on Specialized Hardware. - Eldan Cohen; Avradip Mandal; Hayato Ushijima-Mwesigwa; Arnab Roy 001 (IDA, 2020)

Binary Matrix Factorization on Special Purpose Hardware. - Osman Asif Malik; Hayato Ushijima-Mwesigwa; Arnab Roy 001; Avradip Mandal; Indradeep Ghosh (CoRR, 2020)

Unified Clustering and Outlier Detection on Specialized Hardware. - Eldan Cohen; Hayato Ushijima-Mwesigwa; Avradip Mandal; Arnab Roy 001 (ICASSP, 2021)

Digital Annealing Route to Complex Magnetic Phase Discovery. - Akshat A. Jha; Eliana L. Stoyanoff; Guga Khundzakishvili; Paul Kairys; Hayato Ushijima-Mwesigwa; Arnab Banerjee (ICRC, 2021)

Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware. - Pouya Rezazadeh Kalehbasti; Hayato Ushijima-Mwesigwa; Avradip Mandal; Indradeep Ghosh (IDA, 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)

Scaling Vehicle Routing Problem Solvers with QUBO-based Specialized Hardware. - Hanjing Xu; Hayato Ushijima-Mwesigwa; Indradeep Ghosh (SEC, 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)

Clustering Vehicle Routing Problems on Specialized Hardware. - Hanjing Xu; Hayato Ushijima-Mwesigwa (ICRC, 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)

PrecipDiff: Leveraging Image Diffusion Models to Enhance Satellite-Based Precipitation Observations. - Ting-Yu Dai; Hayato Ushijima-Mwesigwa (AAAI, 2025)