Publications

Working Paper

• Contextual Combinatorial Bandits with Probabilistically Triggered Arms.
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen.
  

• Constraint-aware Combinatorial Multi-Armed Bandits: A Computational Efficient Relaxation and Rounding Approach.
  Xutong Liu, Ruofeng Yang, Shuai Li, Hong Xie, John C.S. Lui.

• DCM-TS: Online Learning to Rank with Multiple Clicks via Thompson Sampling.
  Xutong Liu, Shuai Li, John C.S. Lui.

Conference Paper

• On-Demand Communication for Asynchronous Multi-Agent Bandits.
  Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C.S. Lui, Don Towsley.
  To appear in The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
  

• Achieve Near-Optimal Individual Regret and Low Communications in Multi-Agent Bandits.
  Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui.
  To appear in The 11th International Conference on Learning Representations (ICLR), 2023.
  [openreview]

• Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback.
  Xutong Liu*, Jinhang Zuo*, Hong Xie, Carlee Joe-Wong, John C.S. Lui. (* means equal contribution.)
  To appear in IEEE International Conference on Computer Communications (INFOCOM), 2023. (252/1312=19.2%).
  

• Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits.
  Zhiyong Wang, Xutong Liu, Shuai Li, John C.S. Lui.
  Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023. (1721/8777=19.6%).
  [arXiv] [slides] [poster]

• Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms.
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen.
  Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. (2665/10411=25.6%).
  [openreview] [arXiv] [paper] [slides] [poster]

• Federated Online Clustering of Bandits.
  Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C.S. Lui.
  The 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022. (230/712=32%).
  [openreview] [paper] [arXiv][slides] [poster] [code]

• Online Competitive Influence Maximization.
  Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen.
  The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), (492/1685=29%)
  [link] [arXiv]

• Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning.
  Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C.S. Lui.
  The 38th International Conference on Machine Learning (ICML), Long Oral, 2021. (166/5513=3%).
  [link] [paper] [arXiv] [slides] [poster] [video]

• Graphlet Count Estimation via Convolutional Neural Networks.
  Xutong Liu, Yu-Zhen Chen, John C.S. Lui, Konstantin Avrachenkov.
  COMPLEX NETWORKS, 2018.
  [PDF]

• An Online Learning Approach to Network Application Optimization with Guarantee.
  Kechao Cai, Xutong Liu, Yuzhen Janice Chen, and John C.S. Lui.
  IEEE International Conference on Computer Communications (INFOCOM), 2018.
  [PDF]

Journal Paper

• Learning with Guarantee via Constrained Multi-armed Bandit: Theory and Network Applications.
  Kechao Cai, Xutong Liu, Yuzhen Janice Chen, and John C.S. Lui.
  IEEE Transactions on Mobile Computing (IEEE TMC), 2022.
  DOI: https://doi.org/10.1109/TMC.2022.3173792

• Learning to Count: a Deep Learning Framework for Graphlet Count Estimation.
  Xutong Liu, Yu-Zhen Chen, John C.S. Lui., Konstantin Avrachenkov.
  Network Science Journal.
  DOI: https://doi.org/10.1017/nws.2020.35.