Publications

(*equal contribution, #corresponding author)

Preprints

• [arXiv] Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution
  Manhin Poon, Xiangxiang Dai, Xutong Liu, FangKong, John C.S. Lui, Jinhang Zuo.
  

• [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.
  

Journals:

• [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]

• [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]

• [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]
  

Conferences:

• [SIGKDD] A Unified Online-Offline Framework for Co-Branding Campaign Recommendations
  Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C.S. Lui.
  Accepted in the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025. (AR: 365/1988=18.4%)
  [Link], [arXiv], [Code], [Promotional Video], [Slides]
  

• [SIGKDD] Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits
  Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C.S. Lui.
  Accepted in the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025. (AR: 365/1988=18.4%)
  [Link], [arXiv]

• [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. (AR: 35/223 = 15.7%)
  🏆Best Paper Finalists (Top 5)
  [Link], [arXiv], [Code], [Slides]

• [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.
  Accepted in the International Conference on Machine Learning (ICML), 2025. (AR: 3260/12107=26.3%).
  [Link], [arXiv], [Slides]

• [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. (AR: 3706/11672=32.08%)
  [OpenReview], [Poster], [arXiv]

• [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 ACM The Web Conference (WWW), 2025. (AR: 409/2062=19.8%)
  [Link], [Poster]

• [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. (AR: 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. (AR: 81/326 = 24.8%)
  [Link], [PDF], [Slides]