Feng Ruan

According to our database1, Feng Ruan authored at least 28 papers between 2007 and 2024.

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Bibliography

2024
Nearshore Ship Detection in PolSAR Images by Integrating Superpixel-Level GP-PNF and Refined Polarimetric Decomposition.
Remote. Sens., March, 2024

2022
Low-Cost Metamaterial Antennas: Forward-Looking Imaging Experiment and Analysis.
Sensors, 2022

FastCPH: Efficient Survival Analysis for Neural Networks.
CoRR, 2022

2021
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis.
SIAM J. Math. Data Sci., 2021

Bandit Learning in Decentralized Matching Markets.
J. Mach. Learn. Res., 2021

LassoNet: A Neural Network with Feature Sparsity.
J. Mach. Learn. Res., 2021

On the Self-Penalization Phenomenon in Feature Selection.
CoRR, 2021

LassoNet: Neural Networks with Feature Sparsity.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A constrained risk inequality for general losses.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Computation offloading for multimedia workflows with deadline constraints in cloudlet-based mobile cloud.
Wirel. Networks, 2020

Deep learning for real-time image steganalysis: a survey.
J. Real Time Image Process., 2020

Searching for Interactions: Why the Laplace Kernel is your Friend.
CoRR, 2020

2019
A big data placement method using NSGA-III in meteorological cloud platform.
EURASIP J. Wirel. Commun. Netw., 2019

A neural network with feature sparsity.
CoRR, 2019

DSM: a dynamic scheduling method for concurrent workflows in cloud environment.
Clust. Comput., 2019

A QoS-Aware Workflow Scheduling Method for Cloudlet-Based Mobile Cloud Computing.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Efficient Placement of Meteorological Big Data Using NSGA-III in Cloud Environment.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2018
Stochastic Methods for Composite and Weakly Convex Optimization Problems.
SIAM J. Optim., 2018

Adapting to Unknown Noise Distribution in Matrix Denoising.
CoRR, 2018

The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information.
CoRR, 2018

Minimax Bounds on Stochastic Batched Convex Optimization.
Proceedings of the Conference On Learning Theory, 2018

2017
Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds.
Secur. Commun. Networks, 2017

Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval.
CoRR, 2017

2016
Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses.
CoRR, 2016

2011
The Application of Switched Reluctance Motor in Electric Screw Press.
Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011

2009
A fuzzy-rough case-based learning approach for intelligent die design.
Int. J. Comput. Appl. Technol., 2009

Study on Key Problems in Multi-stage Deep Drawing Numerical Simulation of Ultra-thin Sheet.
Proceedings of the International Conference on Computer Modeling and Simulation, 2009

2007
The Simulation of Metal Sheet Pressing Based on ANN.
Proceedings of the Third International Conference on Natural Computation, 2007


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