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Zirui Zhou

Personalized Cross-Silo Federated Learning on Non-IID Data
2021 · Yutao Huang, Lingyang Chu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 803
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A unified approach to error bounds for structured convex optimization problems
2017 · Zirui Zhou, Anthony Man-Cho So · Mathematical Programming · 181
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Improving Fairness for Data Valuation in Horizontal Federated Learning
2022 · Zhenan Fan, Huang Fang, et al. · IEEE International Conference on Data Engineering (ICDE) · 81
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Beyond convex relaxation: A polynomial-time non-convex optimization approach to network localization
2013 · Senshan Ji, Kam-Fung Sze, et al. · IEEE Conference on Computer Communications (INFOCOM) · 56
Towards Fair Federated Learning
2021 · Zirui Zhou, Lingyang Chu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 49
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
2013 · Ke Hou, Zirui Zhou, et al. · 46
Predicting Credit Card Transaction Fraud Using Machine Learning Algorithms
2019 · Jiaxin Gao, Zirui Zhou, et al. · Journal of Intelligent Learning Systems and Applications · 45
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A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo–Tseng error bound property
2018 · Man-Chung Yue, Zirui Zhou, et al. · Mathematical Programming · 45
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Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization
2018 · Zhaosong Lu, Zirui Zhou, et al. · Mathematical Programming · 44
Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming
2019 · Zhaosong Lu, Zirui Zhou · SIAM Journal on Optimization · 35
On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition
2019 · Man-Chung Yue, Zirui Zhou, et al. · SIAM Journal on Optimization · 28
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Iteration-Complexity of First-Order Augmented Lagrangian Methods for Convex Conic Programming
2023 · Zhaosong Lu, Zirui Zhou · SIAM Journal on Optimization · 25
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Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework
2024 · Mahdi Mostajabdaveh, Timothy T. Yu, et al. · INFOR Information Systems and Operational Research · 23
Evaluating LLM Reasoning in the Operations Research Domain with ORQA
2025 · Mahdi Mostajabdaveh, Timothy Tin Long Yu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 19
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Achieving Model Fairness in Vertical Federated Learning
2021 · Liu, Changxin, Fan, Zhenan, et al. · arXiv (Cornell University) · 18
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Personalized Federated Learning: An Attentive Collaboration Approach.
2020 · Yutao Huang, Lingyang Chu, et al. · arXiv (Cornell University) · 18
$\ell_{1,p}$-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods
2015 · Zirui Zhou, Qi Zhang, et al. · International Conference on Machine Learning · 17
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information
2014 · Yinqing Xu, Tianyi Lin, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 11
Sparse bounds for the bilinear spherical maximal function
2023 · Tainara Borges, Benjamin Foster, et al. · Journal of the London Mathematical Society · 10
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Penalty and Augmented Lagrangian Methods for Constrained DC Programming
2022 · Zhaosong Lu, Zhe Sun, et al. · Mathematics of Operations Research · 9
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Network-wide Traffic Signal Optimization under Connected Vehicles Environment
2021 · Liang Hu, Lanjun Wang, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 7
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
2021 · Wang, Peng, Liu, Huikang, et al. · arXiv (Cornell University) · 6
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Cubic Regularization Methods with Second-Order Complexity Guarantee Based on a New Subproblem Reformulation
2022 · Ru-Jun Jiang, Zhi-Shuo Zhou, et al. · Journal of the Operations Research Society of China · 5
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An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud
2021 · Hu, Liang, Zhu, Jiangcheng, et al. · arXiv (Cornell University) · 5
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SMARTAPS: Tool-augmented LLMs for Operations Management
2025 · Yu, Timothy Tin Long, Mostajabdaveh, Mahdi, et al. · arXiv (Cornell University) · 4
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Works count: 31
Citation count: 1,608
H-index: 17
I10-index: 19
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