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Xun Qian

SGD: General Analysis and Improved Rates
2019 · Gower, Robert Mansel, Loizou, Nicolas, et al. · arXiv (Cornell University) · 156
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Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
2020 · Li, Zhize, Kovalev, Dmitry, et al. · arXiv (Cornell University) · 91
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FedNL: Making Newton-Type Methods Applicable to Federated Learning
2021 · Safaryan, Mher, Islamov, Rustem, et al. · arXiv (Cornell University) · 61
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A model of distributionally robust two-stage stochastic convex programming with linear recourse
2017 · Bin Li, Xun Qian, et al. · Applied Mathematical Modelling · 31
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Distributed Second Order Methods with Fast Rates and Compressed Communication
2021 · Islamov, Rustem, Qian, Xun, et al. · arXiv (Cornell University) · 30
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Error Compensated Distributed SGD Can Be Accelerated
2020 · Qian, Xun, Richtárik, Peter, et al. · arXiv (Cornell University) · 23
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L-SVRG and L-Katyusha with Arbitrary Sampling
2019 · Qian, Xun, Qu, Zheng, et al. · arXiv (Cornell University) · 16
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MISO is Making a Comeback With Better Proofs and Rates
2019 · Qian, Xun, Sailanbayev, Alibek, et al. · arXiv (Cornell University) · 15
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Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
2022 · Islamov, Rustem, Qian, Xun, et al. · arXiv (Cornell University) · 14
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Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
2021 · Qian, Xun, Islamov, Rustem, et al. · arXiv (Cornell University) · 12
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SGD with Arbitrary Sampling: General Analysis and Improved Rates.
2019 · Xun Qian, Peter Richtárik, et al. · International Conference on Machine Learning · 9
Communication-Efficient Gluon in Federated Learning
2026 · Qian, Xun, Gaponov, Alexander, et al. · arXiv (Cornell University) · 6
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DocReLM: Mastering Document Retrieval with Language Model
2024 · Wei, Gengchen, Pang, Xinle, et al. · arXiv (Cornell University) · 6
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Convergence Analysis of Muon-type Methods with Inexact LMO in the Degenerate Case
2026 · Qian, Xun, Richtárik, Peter · arXiv (Cornell University) · 5
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Communication-efficient distributed learning with Local Immediate Error Compensation
2025 · Yifei Cheng, Li Shen, et al. · Neural Networks · 5
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The Convergent Generalized Central Paths for Linearly Constrained Convex Programming
2018 · Xun Qian, Li-Zhi Liao, et al. · SIAM Journal on Optimization · 5
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Error Compensated Loopless SVRG, Quartz, and SDCA for Distributed Optimization
2021 · Qian, Xun, Dong, Hanze, et al. · arXiv (Cornell University) · 4
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A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming
2018 · Xun Qian, Li-Zhi Liao, et al. · Mathematical Programming · 3
Broximal Alignment for Global Non-Convex Optimization
2026 · Gruntkowska, Kaja, Li, Hanmin, et al. · arXiv (Cornell University) · 2
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A matrix-free interior point continuous trajectory for linearly constrained convex programming
2024 · Qian, Xun, Liao, Li-Zhi, et al. · arXiv (Cornell University) · 1
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Generalized Affine Scaling Trajectory Analysis for Linearly Constrained Convex Programming
2018 · Xun Qian, Li-Zhi Liao · Lecture notes in computer science · 1
Analysis of some interior point continuous trajectories for convex programming
2017 · Xun Qian, Li-Zhi Liao, et al. · Optimization · 1
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GenXR-Bench: Benchmarking Coding Agents for Interactive XR Development
2026 · Huang, William, Li, David, et al. · arXiv (Cornell University)
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A Stochastic Block-coordinate Proximal Newton Method for Nonconvex Composite Minimization
2024 · Zhu, Hong, Qian, Xun · arXiv (Cornell University)
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Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity
2023 · Qian, Xun, Dong, Hanze, et al. · arXiv (Cornell University)
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Works count: 28
Citation count: 497
H-index: 10
I10-index: 10
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