Research

(*equal contribution, #corresponding author)

Preprints

• [arXiv] Quantum Multi-Armed Bandits and Linear Bandits: Lower Bounds and Algorithms
  Maoli Liu, Zhuohua Li, and John C.S. Lui.

Publications

• [ToN’26] Efficient Quantum Link Selection and Fidelity Estimation Under Success Rate Constraints
  Maoli Liu, Zhuohua Li, Xuchuang Wang, and John C.S. Lui.
  To appear in IEEE Transactions on Networking, 2026.

• [AAAI’26-AIA] A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses
  Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, and John C.S. Lui.
  In Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, Special Track on AI Alignment. Singapore, January 2026. (AI Alignment Track AR: 106/468=22.6%)
  [arXiv]
• [ToN’26] Multipath Inter-Domain Routing Protocols for Quantum Networks with Online Path Selection
  Zhuohua Li, Maoli Liu, Kechao Cai, Jonathan Allcock, Shengyu Zhang, and John C.S. Lui.
  IEEE Transactions on Networking, 2026.
• [KDD’25] Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits
  Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C.S. Lui.
  In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Toronto, Canada, August 2025. (February Cycle AR: 365/1988=18.4%)
  [arXiv]
• [ICLR’25] Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
  Zhuohua Li*, Maoli Liu*#, Xiangxiang Dai, John C.S. Lui.
  International Conference on Learning Representations (ICLR), 2025.
  [Updated arXiv Version] | [OpenReview] | [Poster]
• [ICLR’25] Stochastic Bandits Robust to Adversarial Attacks
  Xuchuang Wang, Maoli Liu, Jinhang Zuo , Xutong Liu , John C.S. Lui , and Mohammad Hajiesmaili.
  International Conference on Learning Representations (ICLR), 2025.
  [OpenReview]
• [WWW’25] Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning
  Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui.
  The Web Conference (WWW), 2025. (AR: 409/2062=19.8%)
  [PDF] | [Poster]
• [INFOCOM’25] Learning Best Paths in Quantum Networks
  Xuchuang Wang, Maoli Liu#, Xutong Liu#, Zhuohua Li, Mohammad Hajiesmaili, John C.S. Lui, Don Towsley.
  IEEE International Conference on Computer Communications (INFOCOM), 2025. (AR: 272/1458=18.7%)
  [arXiv]
• [IJCAI’24] FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients.
  Zhuohua Li*, Maoli Liu*, John C.S. Lui.
  In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24). Jeju, South Korea, August 2024. (AR: 791/5651=14.0%, Long Oral: 128/5651=2.3%)
  [arXiv] | [Poster]
• [INFOCOM’24] LinkSelFiE: Link Selection and Fidelity Estimation in Quantum Networks.
  Maoli Liu, Zhuohua Li, Xuchuang Wang, and John C.S. Lui.
  In Proceedings of the IEEE Conference on Computer Communications (INFOCOM) 2024. Vancouver, Canada, May 2024. (AR: 256/1307=19.6%)
  [PDF] | [code]
• [INFOCOM’24] Quantum BGP with Online Path Selection via Network Benchmarking.
  Maoli Liu*, Zhuohua Li*, Kechao Cai, Jonathan Allcock, Shengyu Zhang, and John C.S. Lui.
  In Proceedings of the IEEE Conference on Computer Communications (INFOCOM) 2024. Vancouver, Canada, May 2024. (AR: 256/1307=19.6%)
  [PDF] | [code]
• [ToN’24] Tracking Influencers in Decaying Social Activity Streams With Theoretical Guarantees
  Junzhou Zhao, Pinghui Wang, Wei Zhang, Zhaosong Zhang, Maoli Liu, Jing Tao, John CS Lui
  IEEE/ACM Transactions on Networking, vol. 32, no. 2, pp. 1461-1476, April 2024.
• [IEEE Network’22] Quantum Networks with Multiple Service Providers: Transport Layer Protocols and Research Opportunities.
  Maoli Liu, Jonathan Allcock, Kechao Cai, Shengyu Zhang, and John C.S. Lui.
  IEEE Network, 2022, 36(5): 56-62.
  [PDF]