Xutong Liu

According to our database, Xutong Liu authored at least 37 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dynamic Incentive Allocation for City-Scale Deep Decarbonization.

Anupama Sitaraman, Adam Lechowicz, Noman Bashir, Xutong Liu, Mohammad Hajiesmaili, Prashant J. Shenoy

ACM J. Comput. Sustain. Soc., September, 2025

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation.

Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong

CoRR, August, 2025

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution.

Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo

CoRR, June, 2025

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations.

Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui

CoRR, May, 2025

Offline Clustering of Linear Bandits: Unlocking the Power of Clusters in Data-Limited Environments.

Jingyuan Liu, Zeyu Zhang, Xuchuang Wang, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili, Carlee Joe-Wong

CoRR, May, 2025

Fusing Reward and Dueling Feedback in Stochastic Bandits.

Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Adam Wierman

CoRR, April, 2025

Asynchronous Multi-Agent Bandits: Fully Distributed <i>vs</i>. Leader-Coordinated Algorithms.

Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proc. ACM Meas. Anal. Comput. Syst., March, 2025

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models.

Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili

CoRR, February, 2025

Offline Learning for Combinatorial Multi-armed Bandits.

Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen

CoRR, January, 2025

Combinatorial Logistic Bandits.

Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui

Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

Learning Best Paths in Quantum Networks.

Xuchuang Wang, Maoli Liu, Xutong Liu, Zhuohua Li, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the IEEE INFOCOM 2025, 2025

Robust Contextual Combinatorial Multi-Armed Bandits for Unreliable Network Systems.

Junkai Wang, Xutong Liu, Jinhang Zuo, Yuedong Xu

Proceedings of the IEEE INFOCOM 2025, 2025

Stochastic Bandits Robust to Adversarial Attacks.

Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Conversational Recommendation With Online Learning and Clustering on Misspecified Users.

Xiangxiang Dai, Zhiyong Wang, Jize Xie, Xutong Liu, John C. S. Lui

IEEE Trans. Knowl. Data Eng., December, 2024

Stochastic Bandits Robust to Adversarial Attacks.

Xuchuang Wang, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili

CoRR, 2024

Cost-Effective Online Multi-LLM Selection with Versatile Reward Models.

Xiangxiang Dai, Jin Li, Xutong Liu, Anqi Yu, John C. S. Lui

CoRR, 2024

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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach.

Xutong Liu, Jinhang Zuo, Junkai Wang, Zhiyong Wang, Yuedong Xu, John C. S. Lui

Proceedings of the IEEE INFOCOM 2024, 2024

Quantum Algorithm for Online Exp-concave Optimization.

Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C. S. Lui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond.

Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.

Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning With Guarantee Via Constrained Multi-Armed Bandit: Theory and Network Applications.

Kechao Cai, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui

IEEE Trans. Mob. Comput., September, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.

Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad H. Hajiesmaili, Adam Wierman, Wei Chen

CoRR, 2023

Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?

Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Online Clustering of Bandits with Misspecified User Models.

Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C. S. Lui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback.

Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui

Proceedings of the IEEE INFOCOM 2023, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.

Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen

Proceedings of the International Conference on Machine Learning, 2023

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits.

Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On-Demand Communication for Asynchronous Multi-Agent Bandits.

Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits.

Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Federated online clustering of bandits.

Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui

Proceedings of the Uncertainty in Artificial Intelligence, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Competitive Influence Maximization.

Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Learning to count: A deep learning framework for graphlet count estimation.

Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov

Netw. Sci., October, 2021

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

Proceedings of the 38th International Conference on Machine Learning, 2021

2018

Graphlet Count Estimation via Convolutional Neural Networks.

Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov

CoRR, 2018

An Online Learning Approach to Network Application Optimization with Guarantee.

Kechao Cai, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018