An Online Learning Approach to Network Application Optimization with Guarantee. - Kechao Cai; Xutong Liu 002; Yu-Zhen Janice Chen; John C. S. Lui (INFOCOM, 2018)

Graphlet Count Estimation via Convolutional Neural Networks. - Xutong Liu 002; Yu-Zhen Janice Chen; John C. S. Lui; Konstantin Avrachenkov (CoRR, 2018)

Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning. - Xutong Liu 002; Jinhang Zuo; Xiaowei Chen 002; Wei Chen 013; John C. S. Lui (ICML, 2021)

Learning to count: A deep learning framework for graphlet count estimation. - Xutong Liu 002; Yu-Zhen Janice Chen; John C. S. Lui; Konstantin Avrachenkov (Netw. Sci., 2021)

Online Competitive Influence Maximization. - Jinhang Zuo; Xutong Liu 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (AISTATS, 2022)

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (NeurIPS, 2022)

Federated online clustering of bandits. - Xutong Liu 002; Haoru Zhao; Tong Yu 001; Shuai Li 010; John C. S. Lui (UAI, 2022)

Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits. - Zhiyong Wang; Xutong Liu 002; Shuai Li 010; John C. S. Lui (AAAI, 2023)

On-Demand Communication for Asynchronous Multi-Agent Bandits. - Yu-Zhen Janice Chen; Lin Yang 013; Xuchuang Wang; Xutong Liu 002; Mohammad H. Hajiesmaili; John C. S. Lui; Don Towsley (AISTATS, 2023)

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits. - Xuchuang Wang; Lin Yang 013; Yu-Zhen Janice Chen; Xutong Liu 002; Mohammad Hajiesmaili; Don Towsley; John C. S. Lui (ICLR, 2023)

Contextual Combinatorial Bandits with Probabilistically Triggered Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman; Wei Chen 013 (ICML, 2023)

Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. - Xutong Liu 002; Jinhang Zuo; Hong Xie 004; Carlee Joe-Wong; John C. S. Lui (INFOCOM, 2023)

Online Clustering of Bandits with Misspecified User Models. - Zhiyong Wang; Jize Xie; Xutong Liu 002; Shuai Li 010; John C. S. Lui (NeurIPS, 2023)

Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? - Xuchuang Wang; Lin Yang 013; Yu-Zhen Janice Chen; Xutong Liu 002; Mohammad Hajiesmaili; Don Towsley; John C. S. Lui (UAI, 2023)

Contextual Combinatorial Bandits with Probabilistically Triggered Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Mohammad H. Hajiesmaili; Adam Wierman; Wei Chen 020 (CoRR, 2023)

Learning With Guarantee Via Constrained Multi-Armed Bandit: Theory and Network Applications. - Kechao Cai; Xutong Liu 002; Yu-Zhen Janice Chen; John C. S. Lui (IEEE Trans. Mob. Comput., 2023)

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. - Hantao Yang; Xutong Liu 002; Zhiyong Wang; Hong Xie 004; John C. S. Lui; Defu Lian; Enhong Chen (AAAI, 2024)

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. - Xutong Liu 002; Siwei Wang 002; Jinhang Zuo; Han Zhong; Xuchuang Wang; Zhiyong Wang; Shuai Li 010; Mohammad Hajiesmaili; John C. S. Lui; Wei Chen 020 (ICML, 2024)

Quantum Algorithm for Online Exp-concave Optimization. - Jianhao He; Chengchang Liu; Xutong Liu 002; Lvzhou Li; John C. S. Lui (ICML, 2024)

Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach. - Xutong Liu 002; Jinhang Zuo; Junkai Wang; Zhiyong Wang; Yuedong Xu 001; John C. S. Lui (INFOCOM, 2024)

AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics. - Xiangxiang Dai; Zeyu Zhang; Peng Yang 004; Yuedong Xu 001; Xutong Liu 002; John C. S. Lui (ACM Multimedia, 2024)

Cost-Effective Online Multi-LLM Selection with Versatile Reward Models. - Xiangxiang Dai; Jin Li; Xutong Liu 002; Anqi Yu; John C. S. Lui (CoRR, 2024)

Stochastic Bandits Robust to Adversarial Attacks. - Xuchuang Wang; Jinhang Zuo; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili (CoRR, 2024)

Conversational Recommendation With Online Learning and Clustering on Misspecified Users. - Xiangxiang Dai; Zhiyong Wang; Jize Xie; Xutong Liu 002; John C. S. Lui (IEEE Trans. Knowl. Data Eng., 2024)

Stochastic Bandits Robust to Adversarial Attacks. - Xuchuang Wang; Maoli Liu; Jinhang Zuo; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili (ICLR, 2025)

Robust Contextual Combinatorial Multi-Armed Bandits for Unreliable Network Systems. - Junkai Wang; Xutong Liu 002; Jinhang Zuo; Yuedong Xu 001 (INFOCOM, 2025)

Learning Best Paths in Quantum Networks. - Xuchuang Wang; Maoli Liu; Xutong Liu 002; Zhuohua Li 001; Mohammad Hajiesmaili; John C. S. Lui; Don Towsley (INFOCOM, 2025)

Combinatorial Logistic Bandits. - Xutong Liu 002; Xiangxiang Dai; Xuchuang Wang; Mohammad Hajiesmaili; John C. S. Lui (SIGMETRICS (Abstracts), 2025)

Offline Learning for Combinatorial Multi-armed Bandits. - Xutong Liu 002; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (CoRR, 2025)

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models. - Mengfan Xu; Liren Shan; Fatemeh Ghaffari; Xuchuang Wang; Xutong Liu 002; Mohammad Hajiesmaili (CoRR, 2025)

Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms. - Xuchuang Wang; Yu-Zhen Janice Chen; Xutong Liu 002; Lin Yang 013; Mohammad Hajiesmaili; Don Towsley; John C. S. Lui (Proc. ACM Meas. Anal. Comput. Syst., 2025)

Fusing Reward and Dueling Feedback in Stochastic Bandits. - Xuchuang Wang; Qirun Zeng; Jinhang Zuo; Xutong Liu 002; Mohammad Hajiesmaili; John C. S. Lui; Adam Wierman (CoRR, 2025)

Offline Clustering of Linear Bandits: Unlocking the Power of Clusters in Data-Limited Environments. - Jingyuan Liu; Zeyu Zhang; Xuchuang Wang; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili; Carlee Joe-Wong (CoRR, 2025)

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations. - Xiangxiang Dai; Xiaowei Sun; Jinhang Zuo; Xutong Liu 002; John C. S. Lui (CoRR, 2025)

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution. - Manhin Poon; Xiangxiang Dai; Xutong Liu 002; Fang Kong 002; John C. S. Lui; Jinhang Zuo (CoRR, 2025)

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. - Xutong Liu 002; Baran Atalar; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Wei Chen 013; Carlee Joe-Wong (CoRR, 2025)

Dynamic Incentive Allocation for City-Scale Deep Decarbonization. - Anupama Sitaraman; Adam Lechowicz; Noman Bashir; Xutong Liu 002; Mohammad Hajiesmaili; Prashant J. Shenoy (ACM J. Comput. Sustain. Soc., 2025)