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)

To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints? - Yu-Zhen Janice Chen; Daniel S. Menasché; Don Towsley (CISS, 2021)

Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback. - Lin Yang 013; Yu-Zhen Janice Chen; Stephen Pasteris; Mohammad H. Hajiesmaili; John C. S. Lui; Don Towsley (NeurIPS, 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)

Distributed Bandits with Heterogeneous Agents. - Lin Yang 013; Yu-Zhen Janice Chen; Mohammad Hassan Hajiesmaili; John C. S. Lui; Don Towsley (INFOCOM, 2022)

Hierarchical Learning Algorithms for Multi-scale Expert Problems. - Lin Yang 013; Yu-Zhen Janice Chen; Mohammad H. Hajiesmaili; Mark Herbster; Don Towsley (Proc. ACM Meas. Anal. Comput. Syst., 2022)

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)

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)

Quantum Best Arm Identification. - Xuchuang Wang; Yu-Zhen Janice Chen; Matheus Guedes de Andrade; Mohammad Hajiesmaili; John C. S. Lui; Don Towsley (SIGMETRICS Perform. Evaluation Rev., 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)

Quickest Change Detection with Confusing Change. - Yu-Zhen Janice Chen; Jinhang Zuo; Venugopal V. Veeravalli; Don Towsley (IEEECONF, 2024)

Quantum Best Arm Identification with Quantum Oracles. - Xuchuang Wang; Yu-Zhen Janice Chen; Matheus Guedes de Andrade; Jonathan Allcock; Mohammad Hajiesmaili; John C. S. Lui; Don Towsley (AAAI, 2025)

On Collaboration in Distributed Parameter Estimation With Resource Constraints. - Yu-Zhen Janice Chen; Daniel S. Menasché; Don Towsley (IEEE Trans. Netw. Serv. Manag., 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)

A Quantum Advantage in Localizing Transmission Loss Change in Optical Networks. - Yufei Zheng; Yu-Zhen Janice Chen; Prithwish Basu; Don Towsley (CoRR, 2025)

Online Experimental Design for Network Tomography. - Xuchuang Wang; Yu-Zhen Janice Chen; Matheus Guedes de Andrade; Mohammad Hajiesmaili; John C. S. Lui; Ting He 001; Don Towsley (CoRR, 2025)