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Xueru Zhang
Xueru Zhang
Assistant Professor, Computer Science and Engineering, The Ohio State University
Verified email at osu.edu - Homepage
Title
Cited by
Cited by
Year
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
X Zhang, MM Khalili, M Liu
35th International Conference on Machine Learning (ICML 2018), 2018
692018
How Do Fair Decisions Fare in Long-term Qualification?
X Zhang, R Tu, Y Liu, M Liu, H Kjellström, K Zhang, C Zhang
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
412020
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
X Zhang, M Khaliligarekani, C Tekin, M Liu
Advances in Neural Information Processing Systems (NeurIPS 2019), 15243-15252, 2019
412019
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
X Zhang, M Liu
Springer Studies in Systems, Decision and Control, Handbook on RL and …, 2020
312020
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms
X Zhang, MM Khalili, M Liu
IEEE Transactions on Information Forensics and Security (TIFS), 2019, 2019
232019
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
X Zhang, MM Khalili, M Liu
56th Annual Allerton Conference on Communication, Control, and Computing, 2018
222018
Long-term impacts of fair machine learning
X Zhang, MM Khalili, M Liu
ergonomics in design 28 (3), 7-11, 2020
172020
Predictive cruise control with private vehicle-to-vehicle communication for improving fuel consumption and emissions
X Zhang, C Huang, M Liu, A Stefanopoulou, T Ersal
IEEE Communications Magazine 57 (10), 91-97, 2019
142019
Contract Design for Purchasing Private Data Using a Biased Differentially Private Algorithm
MM Khalili, X Zhang, M Liu
The 14th Workshop on the Economics of Networks, Systems and Computation …, 2019
132019
Improving Fairness and Privacy in Selection Problems
MM Khalili, X Zhang, M Abroshan, S Sojoudi
the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
102021
Incentivizing Effort in Interdependent Security Games Using Resource Pooling
MM Khalili, X Zhang, M Liu
The 14th Workshop on the Economics of Networks, Systems and Computation …, 2019
102019
Public good provision games on networks with resource pooling
MM Khalili, X Zhang, M Liu
Network Games, Control, and Optimization, 271-287, 2019
72019
Fair Sequential Selection Using Supervised Learning Models
MM Khalili, X Zhang, M Abroshan
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
52021
Effective premium discrimination for designing cyber insurance policies with rare losses
MM Khalili, X Zhang, M Liu
International Conference on Decision and Game Theory for Security, 259-275, 2019
32019
A Robust Energy and Emissions Conscious Cruise Controller for Connected Vehicles with Privacy Considerations
C Huang, X Zhang, R Salehi, T Ersal, AG Stefanopoulou
2020 American Control Conference (ACC), 4881-4886, 2020
22020
Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm
MM Khalili, X Zhang, M Liu
IEEE Access, 2020
22020
Fairness Interventions as (Dis) Incentives for Strategic Manipulation
X Zhang, MM Khalili, K Jin, P Naghizadeh, M Liu
International Conference on Machine Learning, 26239-26264, 2022
12022
Resource Pooling for Shared Fate: Incentivizing Effort in Interdependent Security Games through Cross-investments
MM Khalili, X Zhang, M Liu
IEEE Transactions on Control of Network Systems (TCNS), 2020
12020
Differentially private real-time release of sequential data
X Zhang, MM Khalili, M Liu
ACM Transactions on Privacy and Security 26 (1), 1-29, 2022
2022
Incentive Mechanisms for Strategic Classification and Regression Problems
KUN JIN, X ZHANG, MM KHALILI, P NAGHIZADEH, M LIU
2022
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