Xin Zhu

According to our database, Xin Zhu authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network.

Xin Zhu, Hongyi Pan, Ahmet Enis Çetin

IEEE Internet Things J., June, 2025

The Unsupervised Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT.

Xin Zhu, Ahmet Enis Çetin

IEEE Internet Things J., April, 2025

Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets.

Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Salih Atici, Ahmet Enis Çetin

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer.

Xin Zhu, Ahmet Enis Çetin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression.

Xin Zhu, Daoguang Yang, Hongyi Pan, Hamid Reza Karimi, Didem Ozevin, Ahmet Enis Çetin

Eng. Appl. Artif. Intell., January, 2024

DCT-Based Decorrelated Attention for Vision Transformers.

Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Enis Çetin, Ulas Bagci

CoRR, 2024

The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Massive Random Access.

Xin Zhu, Ahmet Enis Çetin

CoRR, 2024

A Probabilistic Hadamard U-Net for MRI Bias Field Correction.

Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci

CoRR, 2024

AlN Sputtering Parameter Estimation Using A Multichannel Parallel DCT Neural Network.

Yingyi Luo, Talha M. Khan, Emadeldeen Hamdan, Xin Zhu, Hongyi Pan, Didem Ozevin, A. Enis Çetin

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

A Probabilistic Hadamard U-Net for MRI Bias Field Correction.

Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer.

Xin Zhu, Hongyi Pan, Shuaiang Rong, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2024

Stein Variational Gradient Descent-Based Detection for Random Access with Preambles in MTC.

Xin Zhu, Hongyi Pan, Salih Atici, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2024

Domain Generalization with fourier Transform and soft thresholding.

Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Domain Generalization with Fourier Transform and Soft Thresholding.

Hongyi Pan, Bin Wang, Zheyuan Zhan, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci

CoRR, 2023

Orthogonal Transform Domain Approaches for the Convolutional Layer.

Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Çetin

CoRR, 2023

A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer.

Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Enis Çetin

Proceedings of the International Conference on Machine Learning, 2023

Real-Time Wireless ECG-Derived Respiration Rate Estimation using an Autoencoder with a DCT Layer.

Hongyi Pan, Xin Zhu, Zhilu Ye, Pai-Yen Chen, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer.

Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Çetin

CoRR, 2022