Mingyi Zhou

According to our database1, Mingyi Zhou authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models.
CoRR, 2024

Investigating White-Box Attacks for On-Device Models.
CoRR, 2024

Concealing Sensitive Samples against Gradient Leakage in Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022
Local Label Point Correction for Edge Detection of Overlapping Cervical Cells.
Frontiers Neuroinformatics, 2022

Defense against Privacy Leakage in Federated Learning.
CoRR, 2022

2021
Prediction Potential of Remote Sensing-Related Variables in the Topsoil Organic Carbon Density of Liaohekou Coastal Wetlands, Northeast China.
Remote. Sens., 2021

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions.
CoRR, 2021

Deep Learning-Based Regional Sub-models Integration for Parkinson's Disease Diagnosis Using Diffusion Tensor Imaging.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
Decision-based Universal Adversarial Attack.
CoRR, 2020

ProbaNet: Proposal-balanced Network for Object Detection.
CoRR, 2020

Adversarial Imitation Attack.
CoRR, 2020

DaST: Data-Free Substitute Training for Adversarial Attacks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Tensor rank learning in CP decomposition via convolutional neural network.
Signal Process. Image Commun., 2019

Early diagnosis of Parkinson's disease from multiple voice recordings by simultaneous sample and feature selection.
Expert Syst. Appl., 2019

Reliable Parkinson's Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model.
IEEE Access, 2019

An Automated Diagnostic System for Heart Disease Prediction Based on χ<sup>2</sup> Statistical Model and Optimally Configured Deep Neural Network.
IEEE Access, 2019


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