Publications
(*equal contribution)
Conferences:
[Preprint] Cost-Effective Online Multi-LLM Selection with Versatile Reward Models
Xiangxiang Dai, Jin Li, Xutong Liu, Anqi Yu, John C.S. Lui.
[arXiv][Sigmetrics] Combinatorial Logistic Banditss
Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C.S. Lui.
Accepted in the ACM International Conference on Measurement and Modeling of Computer Systems (Sigmetrics), 2025. (20/110 = 18.2%, TH-CPL A)
[arXiv][ACM MM] AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics
Xiangxiang Dai, Zeyu Zhang, Peng Yang, Yuedong Xu, Xutong Liu, John C.S. Lui.
Accepted in the ACM Multimedia (MM), 2024. (1149/4385 = 26.2%, CCF A)
[Link] [arXiv], [Poster], [Code], [ACM showcase on Kudos][IWQoS] Quantifying the Merits of Network-Assist Online Learning in Optimizing Network Protocols
Xiangxiang Dai*, Zhiyong Wang*, Jiancheng Ye, and John C.S. Lui.
Accepted in the IEEE/ACM International Symposium on Quality of Service (IWQoS), 2024. (81/326 = 24.8%, CCF B)
[Link], [PDF], [Slides]
Journals:
[TKDE] Conversational Recommendation with Online Learning and Clustering on Misspecified Users
Xiangxiang Dai*, Zhiyong Wang*, Jize Xie, Xutong Liu, John C.S. Lui.
Accepted in the IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (CCF A)
[Link][TKDE] Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems
Xiangxiang Dai*, Zhiyong Wang*, Jize Xie, Tong Yu, and John C.S. Lui.
Accepted in the IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (CCF A)
[Link][TII] RESPIRE: Reducing Spatial–Temporal Redundancy for Efficient Edge-Based Industrial Video Analytics
Xiangxiang Dai, Peng Yang, Xinyu Zhang, Zhewei Dai, and Li Yu.
Accepted in the IEEE Transactions on Industrial Informatics (TII), 2022. (SCI Q1)
[Link]