| 2025 | SIGCSE | An Undergraduate Course on Computer Architecture. | Przemyslaw Nowak, Dariusz Puchala, Kamil Stokfiszewski |
| 2023 | DCC | Neural implementation of non-linear scalar quantization. | Oleksandr Pankiv, Dariusz Puchala |
| 2023 | DCC | Permutation coding using divide-and-conquer strategy. | Kun Tu, Dariusz Puchala |
| 2022 | DCC | Robust and efficient optimization scheme leading to KL transform. | Oleksandr Pankiv, Dariusz Puchala, Kamil Stokfiszewski |
| 2021 | DCC | Convolutional Neural Network for Image Compression with Application to JPEG Standard. | Dariusz Puchala, Kamil Stokfiszewski |
| 2021 | ICCS | Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems. | Dariusz Puchala, Kamil Stokfiszewski |
| 2020 | DCC | Encryption Before Compression Coding Scheme for JPEG Image Compression Standard. | Dariusz Puchala, Kamil Stokfiszewski, Mykhaylo Yatsymirskyy |
| 2018 | CSIT | GPU Accelerated Image Binarization Based on First and Second Order Integral Images. | Dariusz Puchala, Kamil Stokfiszewski |
| 2018 | CSIT | Effectiveness of GPU Realizations of Parallel Prefix-Sums Computation Algorithms. | Kamil Stokfiszewski, Dariusz Puchala, Mykhaylo Yatsymirskyy |
| 2017 | CSIT | The class of involutory parametric orthogonal transforms of cosine-Walsh type. | Dariusz Puchala |
| 2015 | IDEAL | Effective Realizations of Biorthogonal Wavelet Transforms of Lengths 2K + 1/2K - 1 with Lattice Structures on GPU and CPU. | Dariusz Puchala, Bartomiej Szczepaniak, Mykhaylo Yatsymirskyy |
| 2008 | ICAISC | Neural Network in Fast Adaptive Fourier Descriptor Based Leaves Classification. | Dariusz Puchala, Mykhaylo Yatsymirskyy |