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A unified approach to error bounds for structured convex optimization problems

Mathematical programming, 2017-10, Vol.165 (2), p.689-728

2017

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Robust Convex Approximation Methods for TDOA-Based Localization Under NLOS Conditions

IEEE transactions on signal processing, 2016-07, Vol.64 (13), p.3281-3296

2016

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Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold

SIAM journal on optimization, 2020-01, Vol.30 (1), p.210-239

2020

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Nonconvex Robust Low-Rank Matrix Recovery

SIAM journal on optimization, 2020-01, Vol.30 (1), p.660-686

2020

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Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization

IEEE transactions on signal processing, 2014-11, Vol.62 (21), p.5690-5705

2014

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Intravascular Imaging–Guided or Angiography-Guided Complex PCI

The New England journal of medicine, 2023-05, Vol.388 (18), p.1668-1679

2023

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Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods

Mathematical programming, 2019-11, Vol.178 (1-2), p.215-262

2019

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A Framework for One-Bit and Constant-Envelope Precoding Over Multiuser Massive MISO Channels

IEEE transactions on signal processing, 2019-10, Vol.67 (20), p.5309-5324

2019

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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

Mathematical programming, 2019-03, Vol.174 (1-2), p.327-358

2019

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Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis

IEEE transactions on signal processing, 2017-08, Vol.65 (16), p.4150-4165

2017

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Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods

SIAM journal on optimization, 2021-01, Vol.31 (3), p.1605-1634

2021

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Non-convex exact community recovery in stochastic block model

Mathematical programming, 2022-09, Vol.195 (1-2), p.1-37

2022

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Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning

IEEE transactions on signal processing, 2023-01, Vol.71, p.1-16

2023

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Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning

IEEE transactions on signal processing, 2021, Vol.69, p.4759-4773

2021

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Size-dependent acute toxicity of silver nanoparticles in mice

Journal of Toxicologic Pathology, 2018, Vol.31(1), pp.73-80

2018

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No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians

Mathematical programming, 2024-01

2024

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Local Strong Convexity of Source Localization and Error Bound for Target Tracking under Time-of-Arrival Measurements

IEEE transactions on signal processing, 2022, Vol.70, p.190-201

2022

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EpCAM and APN expression in combination with γ‐H2AX as biomarkers for detecting hepatocarcinogens in rats

Cancer science, 2023-12, Vol.114 (12), p.4763-4769

2023

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Revisiting the conversion reaction voltage and the reversibility of the CuF2 electrode in Li-ion batteries

Nano research, 2017-12, Vol.10 (12), p.4232-4244

2017

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On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition

SIAM journal on optimization, 2019-01, Vol.29 (1), p.904-932

2019

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Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants

SIAM review, 2024-01, Vol.66 (2), p.319-352

2024

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On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization

SIAM journal on optimization, 2017-01, Vol.27 (4), p.2426-2446

2017

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Comparison of efficacy and safety between third‐dose triple and third‐dose dual antihypertensive combination therapies in patients with hypertension

The journal of clinical hypertension (Greenwich, Conn.), 2023-05, Vol.25 (5), p.429-439

2023

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Phenolic Phytoalexins in Rice: Biological Functions and Biosynthesis

International journal of molecular sciences, 2015-12, Vol.16 (12), p.29120-29133

2015

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Distributionally Robust Graph Learning From Smooth Signals Under Moment Uncertainty

IEEE transactions on signal processing, 2022, Vol.70, p.6216-6231

2022

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A unified approach to error bounds for structured convex optimization problems

Robust Convex Approximation Methods for TDOA-Based Localization Under NLOS Conditions

Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold

Nonconvex Robust Low-Rank Matrix Recovery

Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization

Intravascular Imaging–Guided or Angiography-Guided Complex PCI

Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods

A Framework for One-Bit and Constant-Envelope Precoding Over Multiuser Massive MISO Channels

A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo–Tseng error bound property

Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods

Non-convex exact community recovery in stochastic block model

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning

Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning

Size-dependent acute toxicity of silver nanoparticles in mice

No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians

Local Strong Convexity of Source Localization and Error Bound for Target Tracking under Time-of-Arrival Measurements

EpCAM and APN expression in combination with γ‐H2AX as biomarkers for detecting hepatocarcinogens in rats

Revisiting the conversion reaction voltage and the reversibility of the CuF2 electrode in Li-ion batteries

On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition

Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants

On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization

Comparison of efficacy and safety between third‐dose triple and third‐dose dual antihypertensive combination therapies in patients with hypertension

Phenolic Phytoalexins in Rice: Biological Functions and Biosynthesis

Distributionally Robust Graph Learning From Smooth Signals Under Moment Uncertainty

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