DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer. - Hongyi Pan; Xin Zhu 005; Salih Atici; Ahmet Enis Çetin (CoRR, 2022)

Real-Time Wireless ECG-Derived Respiration Rate Estimation using an Autoencoder with a DCT Layer. - Hongyi Pan; Xin Zhu 005; Zhilu Ye; Pai-Yen Chen; Ahmet Enis Çetin (ICASSP, 2023)

A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer. - Hongyi Pan; Xin Zhu 005; Salih Furkan Atici; Ahmet Enis Çetin (ICML, 2023)

Orthogonal Transform Domain Approaches for the Convolutional Layer. - Hongyi Pan; Xin Zhu 005; Salih Atici; Ahmet Enis Çetin (CoRR, 2023)

Domain Generalization with Fourier Transform and Soft Thresholding. - Hongyi Pan; Bin Wang 068; Zheyuan Zhan; Xin Zhu 005; Debesh Jha; Ahmet Enis Çetin; Concetto Spampinato; Ulas Bagci (CoRR, 2023)

Domain Generalization with fourier Transform and soft thresholding. - Hongyi Pan; Bin Wang 068; Zheyuan Zhang; Xin Zhu 005; Debesh Jha; Ahmet Enis Çetin; Concetto Spampinato; Ulas Bagci (ICASSP, 2024)

Stein Variational Gradient Descent-Based Detection for Random Access with Preambles in MTC. - Xin Zhu 005; Hongyi Pan; Salih Atici; Ahmet Enis Çetin (ICASSP, 2024)

Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer. - Xin Zhu 005; Hongyi Pan; Shuaiang Rong; Ahmet Enis Çetin (ICASSP, 2024)

A Probabilistic Hadamard U-Net for MRI Bias Field Correction. - Xin Zhu 005; Hongyi Pan; Batuhan Gundogdu; Debesh Jha; Yury Velichko; Adam B. Murphy; Ashley Ross; Baris Turkbey; Ahmet Enis Çetin; Ulas Bagci (MLMI@MICCAI (1), 2024)

AlN Sputtering Parameter Estimation Using A Multichannel Parallel DCT Neural Network. - Yingyi Luo; Talha M. Khan; Emadeldeen Hamdan; Xin Zhu 005; Hongyi Pan; Didem Ozevin; A. Enis Çetin (VTS, 2024)

A Probabilistic Hadamard U-Net for MRI Bias Field Correction. - Xin Zhu 005; Hongyi Pan; Yury Velichko; Adam B. Murphy; Ashley Ross; Baris Turkbey; Ahmet Enis Çetin; Ulas Bagci (CoRR, 2024)

The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Massive Random Access. - Xin Zhu 005; Ahmet Enis Çetin (CoRR, 2024)

DCT-Based Decorrelated Attention for Vision Transformers. - Hongyi Pan; Emadeldeen Hamdan; Xin Zhu 005; Koushik Biswas; Ahmet Enis Çetin; Ulas Bagci (CoRR, 2024)

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression. - Xin Zhu 005; Daoguang Yang; Hongyi Pan; Hamid Reza Karimi; Didem Ozevin; Ahmet Enis Çetin (Eng. Appl. Artif. Intell., 2024)

Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer. - Xin Zhu 005; Ahmet Enis Çetin (ISCAS, 2025)

Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets. - Hongyi Pan; Emadeldeen Hamdan; Xin Zhu 005; Salih Atici; Ahmet Enis Çetin (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Unsupervised Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT. - Xin Zhu 005; Ahmet Enis Çetin (IEEE Internet Things J., 2025)

Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network. - Xin Zhu 005; Hongyi Pan; Ahmet Enis Çetin (IEEE Internet Things J., 2025)