Publications

(*equal contribution)

Preprints

• [arXiv] Offline Learning for Combinatorial Multi-armed Bandits
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee-Joe Wong, John C.S. Lui, Wei Chen.
  

• [arXiv] Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification
  Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C.S. Lui.
  

• [arXiv] Cost-Effective Online Multi-LLM Selection with Versatile Reward Models
  Xiangxiang Dai, Jin Li, Xutong Liu, Anqi Yu, John C.S. Lui.
  

Conferences:

• [ICLR] Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
  Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui.
  Accepted in the International Conference on Learning Representations (ICLR), 2025.
  [OpenReview]

• [WWW] Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning
  Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui.
  Accepted in the The Web Conference (WWW), 2025. (409/2062=19.8%)
  

• [Sigmetrics] Combinatorial Logistic Bandits
  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. (35/223 = 15.7%)
  [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%)
  [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%)
  [Link], [PDF], [Slides]
  

Journals:

• [T-ITS] Enhancing Cooperative LiDAR-based Perception Accuracy in Vehicular Edge Networks
  Jiawei Hou, Peng Yang, Xiangxiang Dai, Tian Qin, Feng Lyu.
  Accepted in the IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2025.
  [Link]

• [TON] Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem with Triggered or Self-Reliant Arms
  Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C.S. Lui.
  Accepted in the IEEE/ACM Transactions on Networking (TON), 2025.
  [Link]

• [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.
  [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.
  [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.
  [Link]