Peixin Zhang

Orcid: 0000-0001-5039-5651

According to our database1, Peixin Zhang authored at least 28 papers between 2017 and 2024.

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Bibliography

2024
Resilient Watermarking for LLM-Generated Codes.
CoRR, 2024

2023
Parallel Doubly Fed Symbol Timing Recovery Algorithm and FPGA Implementation for Burst Broadband Satellite Access.
IEEE Trans. Very Large Scale Integr. Syst., December, 2023

Boosting Adversarial Training in Safety-Critical Systems Through Boundary Data Selection.
IEEE Robotics Autom. Lett., December, 2023

QuoTe: Quality-oriented Testing for Deep Learning Systems.
ACM Trans. Softw. Eng. Methodol., September, 2023

Backdoor Attack through Machine Unlearning.
CoRR, 2023

Towards Certified Probabilistic Robustness with High Accuracy.
CoRR, 2023

2022
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.
IEEE Trans. Software Eng., 2022

A comparative study on Chinese open domain suggestion mining.
J. Intell. Fuzzy Syst., 2022

Information Tracking Extraction for Emergency Scenario Response.
Proceedings of the Intelligent Information Processing XI, 2022

2021
An Emergency Measure Completeness Evaluation Method Based on UGC Data.
Mob. Inf. Syst., 2021

An improved time support estimation method for overlapping automatic dependent surveillance-broadcast signals in low signal-to-noise ratio region.
Int. J. Satell. Commun. Netw., 2021

Fairness Testing of Deep Image Classification with Adequacy Metrics.
CoRR, 2021

2020
Improved ASM-TER Training Sequence Detection and Fine Doppler Frequency Estimation Methods from a Satellite.
J. Sensors, 2020

A dynamic CSFICA and feature-based collision detection method in multichannel space-based AIS.
Int. J. Satell. Commun. Netw., 2020

White-box fairness testing through adversarial sampling.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks.
Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

2019
Novel error correction algorithms for ADS-B signals with matched filter based decoding.
Phys. Commun., 2019

There is Limited Correlation between Coverage and Robustness for Deep Neural Networks.
CoRR, 2019

A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals.
IEEE Access, 2019

Using Augmented Reality Techniques to Simulate Training and Assistance in Electric Power.
Proceedings of the Data Science, 2019

Adversarial sample detection for deep neural network through model mutation testing.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
A constant false alarm rate frame detector for satellite-based automatic identification system.
Int. J. Satell. Commun. Netw., 2018

An improved least squares constant modulus algorithm for collision messages separation in multichannel space-based AIS.
Int. J. Satell. Commun. Netw., 2018

Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing.
CoRR, 2018

Global regularity of 3D nonhomogeneous incompressible magneto-micropolar system with the density-dependent viscosity.
Comput. Math. Appl., 2018

Global strong solutions to the 3D incompressible MHD equations with density-dependent viscosity.
Comput. Math. Appl., 2018

Towards optimal concolic testing.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
An Efficient Localization Method for Mobile Nodes in Wireless Sensor Networks.
Int. J. Online Eng., 2017


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