| 2026 | AAAI | 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, John C. S. Lui |
| 2026 | AAAI | Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution. | Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo |
| 2026 | ICDE | Trading Vector Data in Vector Databases. | Jin Cheng, Xiangxiang Dai, Ningning Ding, John C. S. Lui, Jianwei Huang |
| 2026 | INFOCOM | Constraint-Aware Combinatorial Bandits: Theoretical Foundations and Network Applications. | Xiangxiang Dai, Jin Li, Xutong Liu, Anqi Yu, John C. S. Lui |
| 2026 | INFOCOM | Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference. | Ziyi Han, Xutong Liu, Ruiting Zhou, Xiangxiang Dai, John C. S. Lui |
| 2026 | INFOCOM | BEVCooper: Accurate and Communication-Efficient Bird's-Eye-View Perception in Vehicular Networks. | Jiawei Hou, Peng Yang, Xiangxiang Dai, Mingliu Liu, Conghao Zhou |
| 2026 | INFOCOM | Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. | Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong |
| 2026 | WWW | BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning. | Jin Cheng, Xiangxiang Dai, Ningning Ding, John C. S. Lui, Jianwei Huang |
| 2025 | ICLR | Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts. | Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui |
| 2025 | ICML | Offline Learning for Combinatorial Multi-armed Bandits. | Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen |
| 2025 | KDD | A Unified Online-Offline Framework for Co-Branding Campaign Recommendations. | Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui |
| 2025 | KDD | Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits. | Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C. S. Lui |
| 2025 | WWW | Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning. | Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui |
| 2025 | SIGMETRICS | Combinatorial Logistic Bandits. | Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui |
| 2024 | IWQoS | Quantifying the Merits of Network-Assist Online Learning in Optimizing Network Protocols. | Xiangxiang Dai, Zhiyong Wang, Jiancheng Ye, John C. S. Lui |