RESPIRE: Reducing Spatial-Temporal Redundancy for Efficient Edge-Based Industrial Video Analytics. - Xiangxiang Dai; Peng Yang 004; Xinyu Zhang; Zhewei Dai; Li Yu 003 (IEEE Trans. Ind. Informatics, 2022)

Quantifying the Merits of Network-Assist Online Learning in Optimizing Network Protocols. - Xiangxiang Dai; Zhiyong Wang; Jiancheng Ye; John C. S. Lui (IWQoS, 2024)

AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics. - Xiangxiang Dai; Zeyu Zhang; Peng Yang 004; Yuedong Xu 001; Xutong Liu 002; John C. S. Lui (ACM Multimedia, 2024)

Cost-Effective Online Multi-LLM Selection with Versatile Reward Models. - Xiangxiang Dai; Jin Li; Xutong Liu 002; Anqi Yu; John C. S. Lui (CoRR, 2024)

Conversational Recommendation With Online Learning and Clustering on Misspecified Users. - Xiangxiang Dai; Zhiyong Wang; Jize Xie; Xutong Liu 002; John C. S. Lui (IEEE Trans. Knowl. Data Eng., 2024)

Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems. - Xiangxiang Dai; Zhiyong Wang; Jize Xie; Tong Yu 001; John C. S. Lui (IEEE Trans. Knowl. Data Eng., 2024)

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts. - Zhuohua Li 001; Maoli Liu; Xiangxiang Dai; John C. S. Lui (ICLR, 2025)

Combinatorial Logistic Bandits. - Xutong Liu 002; Xiangxiang Dai; Xuchuang Wang; Mohammad Hajiesmaili; John C. S. Lui (SIGMETRICS (Abstracts), 2025)

Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning. - Zhuohua Li 001; Maoli Liu; Xiangxiang Dai; John C. S. Lui (WWW, 2025)

Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification. - Xiangxiang Dai; Yuejin Xie; Maoli Liu; Xuchuang Wang; Zhuohua Li 001; Huanyu Wang; John C. S. Lui (CoRR, 2025)

Offline Learning for Combinatorial Multi-armed Bandits. - Xutong Liu 002; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (CoRR, 2025)

Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits. - Maoli Liu; Zhuohua Li 001; Xiangxiang Dai; John C. S. Lui (CoRR, 2025)

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations. - Xiangxiang Dai; Xiaowei Sun; Jinhang Zuo; Xutong Liu 002; John C. S. Lui (CoRR, 2025)

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution. - Manhin Poon; Xiangxiang Dai; Xutong Liu 002; Fang Kong 002; John C. S. Lui; Jinhang Zuo (CoRR, 2025)

Enhancing Cooperative LiDAR-Based Perception Accuracy in Vehicular Edge Networks. - Jiawei Hou; Peng Yang 004; Xiangxiang Dai; Tian Qin; Feng Lyu 001 (IEEE Trans. Intell. Transp. Syst., 2025)

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. - Xutong Liu 002; Baran Atalar; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Wei Chen 013; Carlee Joe-Wong (CoRR, 2025)