Yu-Zhen Janice Chen

27 papers A* 5A 2Misc 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Quantum Advantage in Localizing Transmission Loss Change in Optical Networks.
CoRR
Yufei Zheng, Yu-Zhen Janice Chen, Prithwish Basu, Don Towsley
2025 — conf
Asynchronous Multi-Agent Bandits: Fully Distributed
SIGMETRICS (Abstracts)
Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
2025 J jnl
Asynchronous Multi-Agent Bandits: Fully Distributed
Proc. ACM Meas. Anal. Comput. Syst.
Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
2025 J jnl
On Collaboration in Distributed Parameter Estimation With Resource Constraints.
IEEE Trans. Netw. Serv. Manag.
Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley
2025 J jnl
Online Experimental Design for Network Tomography.
CoRR
Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Mohammad Hajiesmaili, John C. S. Lui, Ting He, Don Towsley
2025 J jnl
Performance of Gaussian Boson Sampling on Planted Bipartite Clique Detection.
CoRR
Yu-Zhen Janice Chen, Laurent Massoulié, Don Towsley
2025 A* conf
Quantum Best Arm Identification with Quantum Oracles.
AAAI
Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
2025 J jnl
Quantum Network Tomography for General Topology with SPAM Errors.
CoRR
Xuchuang Wang, Matheus Guedes de Andrade, Guus Avis, Yu-Zhen Janice Chen, Mohammad Hajiesmaili, Don Towsley
2024 — conf
Quickest Change Detection with Confusing Change.
IEEECONF
Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley
2024 J jnl
Quickest Change Detection with Confusing Change.
CoRR
Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley
2023 A* conf
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits.
ICLR
Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
2023 A conf
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
UAI
Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
2023 J jnl
Learning With Guarantee Via Constrained Multi-Armed Bandit: Theory and Network Applications.
IEEE Trans. Mob. Comput.
Kechao Cai, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui
2023 J jnl
On Collaboration in Distributed Parameter Estimation with Resource Constraints.
CoRR
Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley
2023 A conf
On-Demand Communication for Asynchronous Multi-Agent Bandits.
AISTATS
Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley
2023 J jnl
On-Demand Communication for Asynchronous Multi-Agent Bandits.
CoRR
Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley
2023 J jnl
Quantum Best Arm Identification.
SIGMETRICS Perform. Evaluation Rev.
Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
2022 A* conf
Distributed Bandits with Heterogeneous Agents.
INFOCOM
Lin Yang, Yu-Zhen Janice Chen, Mohammad Hassan Hajiesmaili, John C. S. Lui, Don Towsley
2022 J jnl
Distributed Bandits with Heterogeneous Agents.
CoRR
Lin Yang, Yu-Zhen Janice Chen, Mohammad Hassan Hajiesmaili, John C. S. Lui, Don Towsley
2022 — conf
Hierarchical Learning Algorithms for Multi-scale Expert Problems.
SIGMETRICS (Abstracts)
Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, Don Towsley
2022 J jnl
Hierarchical Learning Algorithms for Multi-scale Expert Problems.
Proc. ACM Meas. Anal. Comput. Syst.
Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, Don Towsley
2022 J jnl
To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints?
CoRR
Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley
2021 A* conf
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback.
NeurIPS
Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley
2021 J jnl
Learning to count: A deep learning framework for graphlet count estimation.
Netw. Sci.
Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov
2021 Misc conf
To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints?
CISS
Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley
2018 A* conf
An Online Learning Approach to Network Application Optimization with Guarantee.
INFOCOM
Kechao Cai, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui
2018 J jnl
Graphlet Count Estimation via Convolutional Neural Networks.
CoRR
Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov