| 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 | 97 | 2018 |
| 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 | 78 | 2020 |
| 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 | 54 | 2019 |
| 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 | 51 | 2020 |
| 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 | 30 | 2018 |
| 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 | 28 | 2019 |
| Long-term impacts of fair machine learning X Zhang, MM Khalili, M Liu Ergonomics in Design 28 (3), 7-11, 2020 | 25 | 2020 |
| 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 | 23 | 2021 |
| 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 | 18 | 2019 |
| 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 | 14 | 2019 |
| Fairness and accuracy under domain generalization TH Pham, X Zhang, P Zhang In 11th International Conference on Learning Representations (ICLR), 2023., 2023 | 11 | 2023 |
| Fair Sequential Selection Using Supervised Learning Models MM Khalili, X Zhang, M Abroshan Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 11 | 2021 |
| 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 | 11 | 2019 |
| Public good provision games on networks with resource pooling MM Khalili, X Zhang, M Liu Network Games, Control, and Optimization: Proceedings of NETGCOOP 2018, New …, 2019 | 11 | 2019 |
| 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 | 9 | 2022 |
| Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning TH Pham, C Yin, L Mehta, X Zhang, P Zhang IEEE International Conference on Data Mining (ICDM), 2021 | 9 | 2021 |
| Incentive mechanisms for strategic classification and regression problems K Jin, X Zhang, MM Khalili, P Naghizadeh, M Liu Proceedings of the 23rd ACM Conference on Economics and Computation, 760-790, 2022 | 6 | 2022 |
| Effective premium discrimination for designing cyber insurance policies with rare losses MM Khalili, X Zhang, M Liu Decision and Game Theory for Security: 10th International Conference …, 2019 | 6 | 2019 |
| Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm MM Khalili, X Zhang, M Liu IEEE Access, 2020 | 5 | 2020 |
| 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 | 4 | 2022 |
Mingyan LiuUniversity of Michigan, Electrical Engineering & Computer ScienceVerified email at umich.edu
