representative publications

@inproceedings{wang2026coexistence,
  title = {Quantum-Classical Coexistence Network Tomography},
  author = {Wang, Xuchuang and Chapman, Joseph C. and Guedes de Andrade, Matheus and Chen, Yu-Zhen Janice and Lukens, Joseph M. and Vardoyan, Gayane and Towsley, Don},
  booktitle = {IEEE International Conference on Quantum Computing and Engineering (Quantum Week)},
  year = {2026},
  significance = {Characterizes quantum links that share fiber with classical traffic, where noise from co-propagating channels corrupts the measurements, and shows how to localize faulty links despite that interference -- tomography for the deployed fiber quantum networks will actually run on.}
}

@inproceedings{wang2025robust,
  title = {Stochastic Bandits Robust to Adversarial Attacks},
  author = {Wang, Xuchuang and Liu, Maoli and Zuo, Jinhang and Liu, Xutong and Lui, John C.S. and Hajiesmaili, Mohammad},
  booktitle = {International Conference on Learning Representations},
  year = {2025},
  significance = {Provides regret guarantees for stochastic bandits against a strong adversary that can corrupt rewards after observing the learner's actions, making bandit learning usable in settings where some feedback is manipulated.}
}

@inproceedings{wang2025asynchronous,
  title = {Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms},
  author = {Wang*, Xuchuang and Chen*, Yu-Zhen Janice and Yang, Lin and Liu, Xutong and Hajiesmaili, Mohammad and Towsley, Don and Lui, John C.S.},
  booktitle = {ACM International Conference on Measurement and Modeling of Computer Systems},
  year = {2025},
  significance = {Drops the lock-step assumption that pervades multi-agent bandit analyses and compares fully distributed against leader-coordinated protocols, clarifying the communication-versus-regret tradeoff that governs how cooperating learners should share information.}
}

@inproceedings{wang2025best,
  title = {Best Arm Identification with Quantum Oracles},
  author = {Wang, Xuchuang and Chen, Yu-Zhen Janice and Guedes de Andrade, Matheus and Allcock, Jonathan and Hajiesmaili, Mohammad and Lui, John C.S. and Towsley, Don},
  booktitle = {The 39th Annual AAAI Conference on Artificial Intelligence},
  year = {2025},
  significance = {Studies best-arm identification when the learner can issue quantum queries to the reward oracle, quantifying the speedup that quantum-enhanced sequential decision-making offers over classical bandit algorithms.}
}

@inproceedings{wang2025learn,
  title = {Learning Best Paths in Quantum Networks},
  author = {Wang, Xuchuang and Liu, Maoli and Liu, Xutong and Li, Zhuohua and Hajiesmaili, Mohammad and Lui, John C.S. and Towsley, Don},
  booktitle = {Proceedings of the IEEE Conference on Computer Communications},
  year = {2025},
  significance = {Casts entanglement path selection in quantum networks as an online learning problem and gives a routing algorithm that adapts to unknown, noisy link fidelities -- a building block for routing on the quantum internet.}
}