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.2022.3173792Learning 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.