Pei Yuan Wu

Orcid: 0000-0001-7860-3678

Affiliations:
  • National Taiwan University, Taipei, Taiwan
  • Taiwan Semiconductor Manufacturing Company, Hsinchu, Taiwan (2015 - 2017)
  • Princeton University, NJ, USA (PhD 2015)


According to our database1, Pei Yuan Wu authored at least 24 papers between 2000 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Federated Learning for distribution skewed data using sample weights.
CoRR, 2024

2023
SecureTVM: A TVM-based Compiler Framework for Selective Privacy-preserving Neural Inference.
ACM Trans. Design Autom. Electr. Syst., July, 2023

Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques.
IEEE Trans. Inf. Forensics Secur., 2023

Viewing Bias Matters in 360<sup>°</sup> Videos Visual Saliency Prediction.
IEEE Access, 2023

SepMM: A General Matrix Multiplication Optimization Approach for Privacy-Preserving Machine Learning.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Improved Photometric Stereo through Efficient and Differentiable Shadow Estimation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Sample Complexity of Kernel-Based Q-Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Optimization and Evaluation of Multidetector Deep Neural Network for High-Accuracy Wi-Fi Fingerprint Positioning.
IEEE Internet Things J., 2022

Fusion-Based Smartphone Positioning Using Unsupervised Calibration of Crowdsourced Wi-Fi FTM.
IEEE Access, 2022

CTGAN : Cloud Transformer Generative Adversarial Network.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Physical Tampering Detection Using Single COTS Wi-Fi Endpoint.
Sensors, 2021

2020
Compressive Privacy Generative Adversarial Network.
IEEE Trans. Inf. Forensics Secur., 2020

AutoGAN-based dimension reduction for privacy preservation.
Neurocomputing, 2020


2017
Collaborative PCA/DCA Learning Methods for Compressive Privacy.
ACM Trans. Embed. Comput. Syst., 2017

Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System.
IEEE Trans. Cybern., 2017

Privacy-preserving PCA on horizontally-partitioned data.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2017

2014
Cost-effective kernel ridge regression implementation for keystroke-based active authentication system.
Proceedings of the IEEE International Conference on Acoustics, 2014

Using density invariant graph Laplacian to resolve unobservable parameters for three-dimensional optical bio-imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Capturing Cognitive Fingerprints from Keystroke Dynamics.
IT Prof., 2013

2012
Perturbation regulated kernel regressors for supervised machine learning.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

On efficient learning and classification kernel methods.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Numerical ranges as circular discs.
Appl. Math. Lett., 2011

2000
Polygons and Numerical Ranges.
Am. Math. Mon., 2000


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