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Faculty of Electronics, Photonics and Microsystems

Rafał Zdunek, DSc, PhD, Eng

Email: rafal.zdunek@pwr.edu.pl

Unit: Faculty of Electronics, Photonics and Microsystems (N) » Department of Field Theory, Electronic Circuits and Optoelectronics

Rafał Zdunekul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-4, room 134
phone +48 71 320 3215

Office hours

Monday 14.00-15.00 and 17.00-18.00
Friday 11.00-13.00


Research fields

  • Machine learning; signal/image processing; nonnegative matrix factorization; tensor decompositions.

Recent papers

2018

  • Zdunek R., Fonal K. (2018), Distributed geometric nonnegative matrix factorization and hierarchical alternating least squares–based nonnegative tensor factorization with theMapReduce paradigm, Concurrency and Computation: Practice and Experience, DOI: 10.1002/cpe.4473 (in press)

2017

  • Wołczowski A., Zdunek R. (2017), Electromyography and mechanomyography signal recognition: Experimental analysis using multi-way array decomposition methods, Biocybernetics and Biomedical Engineering, Vol. 36(1), pp. 103-113.

2016

  • Zdunek R., Nowak M., Pliński E. (2016), Statistical classification of soft solder alloys by laser-induced breakdown spectroscopy: review of methods, Journal of the European Optical Society. Rapid Publications, Vol. 11, pp. 16006-1 -16006-20.
  • Wojcik M. R., Zdunek R., Antonczak A. (2016), Unsupervised verification of laser-induced breakdown spectroscopy dataset clustering, Spectrochimica Acta. Part B, Atomic Spectroscopy, Vol. 126, pp. 84-92.

2015

  • Yokota T,, Zdunek R,, Cichocki A, and Yamashita Y. (2015), Smooth Nonnegative Matrix and Tensor Factorizations for Robust Multi-way Data Analysis, Signal Processing, Vol. 113, pp. 234-249.

2014

  • Zdunek R. (2014), Regularized Nonnegative Matrix Factorization: Geometrical Interpretation and Application to Spectral Unmixing, Applied Mathematics and Computer Science, Vol. 24(2), pp. 233-247.

2013

  • Zdunek R. (2013), Improved Convolutive and Under-determined Blind Audio Source Separation with MRF Smoothing, Cognitive Computation, Vol. 5(4), pp. 493-503.

2012

  • Cichocki A., Zdunek R., Amari S-I., Hori G. and Umeno K. (2012), Signal Separating Device, Signal Separating Method, Information Recording Medium, and Program, US Patent., October 9, 2012, No. 8 285 773 B2.

2011

  • He Z., Xie S., Zdunek R., Zhou G. and Cichocki A. (2011), Symmetric Nonnegative Matrix Factorization (SNMF): Algorithms and Application to Probabilistic Clustering, IEEE Transactions on Neural Networks, Vol. 22(12), pp. 2117-2131.

Papers in DONA database


1
Article
2023
Mateusz Gabor, Rafał Zdunek, Radosław Zimroz, Jacek Wodecki, Agnieszka Wyłomańska,
Non-negative tensor factorization for vibration-based local damage detection. Mechanical Systems and Signal Processing. 2023, vol. 198, art. 110430, s. 1-17. ISSN: 0888-3270; 1096-1216
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal List
2
Article
2023
Mateusz Gabor, Rafał Zdunek,
Compressing convolutional neural networks with hierarchical Tucker-2 decomposition. Applied Soft Computing. 2023, vol. 132, art. 109856, s. 1-13. ISSN: 1568-4946; 1872-9681
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal List
3
Proceeding paper
2022
Rafał Zdunek,
Hybrid texture synthesis and interpolated structure image completion. Amsterdam : Elsevier, cop. 2022. s. 2464-2473.
Resources:DOIURLSFXOpen Access
4
Proceeding paper
2022
Rafał Zdunek, Mateusz Gabor,
Nested compression of convolutional neural networks with Tucker-2 decomposition. W: 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18-23 July 2022 : conference proceedings. Danvers, MA : IEEE, cop. 2022. s. 1-8. ISBN: 978-1-6654-9526-4; 978-1-7281-8671-9
Resources:DOIURL
5
Proceeding paper
2022
Mateusz Gabor, Rafał Zdunek,
Convolutional neural network compression via tensor-train decomposition on permuted weight tensor with automatic rank determination. W: Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 3 / eds. Derek Groen [i in.]. Cham : Springer, cop. 2022. s. 654-667. ISBN: 978-3-031-08756-1; 978-3-031-08757-8
Resources:DOIURLSFX
6
Article
2022
Rafał Zdunek, Krzysztof Fonał,
Incremental nonnegative Tucker decomposition with block-coordinate descent and recursive approaches. Symmetry-Basel. 2022, vol. 14, nr 1, art. 113, s. 1-19. ISSN: 2073-8994
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access
7
Article
2021
Rafał Zdunek, Andrzej Grobelny, Jerzy Witkowski, Radosław Igor Gnot,
On–off scheduling for electric vehicle charging in two-links charging stations using binary optimization approaches. Sensors. 2021, vol. 21, nr 21, art. 7149, s. 1-22. ISSN: 1424-8220
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access
8
Article
2021
Krzysztof Fonał, Rafał Zdunek,
Fast hierarchical tucker decomposition with single-mode preservation and tensor subspace analysis for feature extraction from augmented multimodal data. Neurocomputing. 2021, vol. 445, s. 231-243. ISSN: 0925-2312; 1872-8286
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal List
9
Article
2021
Rafał Zdunek, Tomasz Sadowski,
Image completion with approximate convex hull tensor decomposition. Signal Processing : Image Communication. 2021, vol. 95, art. 116276, s. 1-13. ISSN: 0923-5965; 1879-2677
Resources:DOISFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal List
10
Article
2020
Michał Wójcik, Pia Brinkmann, Rafał Zdunek, Daniel Riebe, Toralf Beitz, Sven Merk, Katarzyna Cieślik, David Mory, Arkadiusz Antończak,
Classification of copper minerals by handheld laser-induced breakdown spectroscopy and nonnegative tensor factorisation. Sensors. 2020, vol. 20, nr 18, art. 5152, s. 1-17. ISSN: 1424-8220
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access

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