| 2026 | AAAI | Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model. | Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng, Leszek Rutkowski, Qi Zhang, Liang Ding, Dacheng Tao |
| 2026 | AAAI | Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation. | Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Leszek Rutkowski, Dacheng Tao |
| 2026 | AAAI | SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. | Shuhan Xu, Siyuan Liang, Hongling Zheng, Aishan Liu, Xinbiao Wang, Yong Luo, Fu Lin, Leszek Rutkowski, Dacheng Tao |
| 2026 | ACL | Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees. | Zheng Zhang, Qi Liu, Siyuan Liang, Ning Li, Zirui Hu, Weibo Gao, Rui Li, Zhenya Huang, Leszek Rutkowski, Baosheng Yu, Dacheng Tao |
| 2026 | ACL | Distillation Traps and Guards: A Calibration Knob for LLM Distillability. | Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, Dacheng Tao |
| 2025 | ICAISC | Approximate Importance-Based Sampling for Neural Network Training. | Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski |
| 2025 | ICCS | Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics. | Piotr Urbanczyk, Aleksandra Urbanczyk, Magdalena Krl, Leszek Rutkowski, Marek Kisiel-Dorohinicki |
| 2024 | ICAISC | Speedup of Training Deep Neural Networks in the Streaming Approach Using Genetic Algorithms with an Application of Drift Detection. | Piotr Duda, Mateusz Wojtulewicz, Robert Nowicki, Leszek Rutkowski |
| 2023 | ICAISC | The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach. | Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski |
| 2023 | ICCCI | Two-Dimensional Pheromone in Ant Colony Optimization. | Grazyna Starzec, Mateusz Starzec, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Leszek Rutkowski, Marek Kisiel-Dorohinicki, Aleksander Byrski |
| 2023 | ICDM | On Computing Paradigms - Where Will Large Language Models Be Going. | Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang |
| 2022 | ICAISC | A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. | Krzysztof Cpalka, Krystian Lapa, Leszek Rutkowski |
| 2022 | IJCNN | A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. | Rafal Grycuk, Tomasz Galkowski, Rafal Scherer, Leszek Rutkowski |
| 2021 | ICAISC | The Streaming Approach to Training Restricted Boltzmann Machines. | Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer |
| 2021 | ICAISC | Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. | Maciej Jaworski, Leszek Rutkowski, Pawel Staszewski, Patryk Najgebauer |
| 2020 | ICAISC | Concept Drift Detection Using Autoencoders in Data Streams Processing. | Maciej Jaworski, Leszek Rutkowski, Plamen Angelov |
| 2020 | ICAISC | A Novel Explainable Recommender for Investment Managers. | Tomasz Rutkowski, Radoslaw Nielek, Danuta Rutkowska, Leszek Rutkowski |
| 2020 | ICAISC | Explainable Cluster-Based Rules Generation for Image Retrieval and Classification. | Pawel Staszewski, Maciej Jaworski, Leszek Rutkowski, Dacheng Tao |
| 2020 | IJCNN | Fully Convolutional Network for Removing DCT Artefacts From Images. | Patryk Najgebauer, Rafal Scherer, Leszek Rutkowski |
| 2019 | ICAISC | Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine. | Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader |
| 2019 | ICAISC | Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection. | Patryk Najgebauer, Rafal Grycuk, Leszek Rutkowski, Rafal Scherer, Agnieszka Siwocha |
| 2019 | ICAISC | On Proper Designing of Deep Structures for Image Classification. | Piotr Woldan, Pawel Staszewski, Leszek Rutkowski, Konrad Grzanek |
| 2019 | ICONIP | On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine. | Maciej Jaworski, Piotr Duda, Danuta Rutkowska, Leszek Rutkowski |
| 2019 | ICONIP | On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining. | Danuta Rutkowska, Leszek Rutkowski |
| 2018 | ICAISC | On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data. | Jinde Cao, Leszek Rutkowski |
| 2018 | IJCNN | Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine. | Maciej Jaworski, Piotr Duda, Leszek Rutkowski |
| 2018 | ISNN | Online GRNN-Based Ensembles for Regression on Evolving Data Streams. | Piotr Duda, Maciej Jaworski, Leszek Rutkowski |
| 2017 | ICAISC | Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift. | Maciej Jaworski, Piotr Duda, Leszek Rutkowski, Patryk Najgebauer, Miroslaw Pawlak |
| 2017 | MMAR | Novel method for joining missing line fragments for medical image analysis. | Patryk Najgebauer, Leszek Rutkowski, Rafal Scherer |
| 2016 | ICAISC | Hybrid Splitting Criterion in Decision Trees for Data Stream Mining. | Maciej Jaworski, Leszek Rutkowski, Miroslaw Pawlak |
| 2016 | IJCNN | A method for automatic adjustment of ensemble size in stream data mining. | Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda |
| 2016 | MMAR | Novel rough neural network for classification with missing data. | Robert K. Nowicki, Rafal Scherer, Leszek Rutkowski |
| 2015 | ICAISC | Fast Dictionary Matching for Content-Based Image Retrieval. | Patryk Najgebauer, Janusz Rygal, Tomasz Nowak, Jakub Romanowski, Leszek Rutkowski, Sviatoslav Voloshynovskiy, Rafal Scherer |
| 2015 | ICAISC | Customization of Joint Articulations Using Soft Computing Methods. | Arkadiusz Szarek, Marcin Korytkowski, Leszek Rutkowski, Magdalena Scherer, Janusz Szyprowski, Dimce Kostadinov |
| 2014 | IJCNN | A novel application of Hoeffding's inequality to decision trees construction for data streams. | Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Leszek Rutkowski |
| 2014 | IJCNN | The Parzen kernel approach to learning in non-stationary environment. | Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda |
| 2013 | ICAISC | Object Detection by Simple Fuzzy Classifiers Generated by Boosting. | Marcin Gabryel, Marcin Korytkowski, Rafal Scherer, Leszek Rutkowski |
| 2012 | ICAISC | Application of Neural Networks in Assessing Changes around Implant after Total Hip Arthroplasty. | Arkadiusz Szarek, Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Janusz Szyprowski |
| 2012 | ICAISC | Forecasting Wear of Head and Acetabulum in Hip Joint Implant. | Arkadiusz Szarek, Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Janusz Szyprowski |
| 2011 | ICCCI | AdaBoost Ensemble of DCOG Rough-Neuro-Fuzzy Systems. | Marcin Korytkowski, Robert Nowicki, Leszek Rutkowski, Rafal Scherer |
| 2010 | ICAISC | On Automatic Design of Neuro-fuzzy Systems. | Krzysztof Cpalka, Leszek Rutkowski, Meng Joo Er |
| 2010 | ICAISC | An Efficient Adaptive Fuzzy Neural Network (EAFNN) Approach for Short Term Load Forecasting. | Juan Du, Meng Joo Er, Leszek Rutkowski |
| 2010 | ICAISC | Fault Diagnosis of an Air-Handling Unit System Using a Dynamic Fuzzy-Neural Approach. | Juan Du, Meng Joo Er, Leszek Rutkowski |
| 2010 | ICAISC | Evolutionary Designing of Logic-Type Fuzzy Systems. | Marcin Gabryel, Leszek Rutkowski |
| 2010 | ICAISC | Neural Network-Based Assessment of Femur Stress after Hip Joint Alloplasty. | Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Arkadiusz Szarek |
| 2010 | ICAISC | Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. | Leszek Rutkowski, Andrzej Przybyl, Krzysztof Cpalka, Meng Joo Er |
| 2010 | IJCNN | An online approach towards self-generating fuzzy neural networks with applications. | Liu Fan, Meng Joo Er, Leszek Rutkowski |
| 2009 | ICANN | A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis. | Krzysztof Cpalka, Olga Yu. Rebrova, Leszek Rutkowski |
| 2008 | ICAISC | An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems. | Krzysztof Cpalka, Leszek Rutkowski |
| 2008 | ICAISC | On Differential Stroke Diagnosis by Neuro-fuzzy Structures. | Krzysztof Cpalka, Olga Yu. Rebrova, Tomasz Galkowski, Leszek Rutkowski |
| 2008 | ICAISC | Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm. | Marcin Gabryel, Leszek Rutkowski |
| 2008 | ICAISC | Evolutionary Methods to Create Interpretable Modular System. | Marcin Korytkowski, Marcin Gabryel, Leszek Rutkowski, Stanislaw Drozda |
| 2008 | ICAISC | From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier. | Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer |
| 2007 | CIDM | On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems. | Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Grzegorz Drozda |
| 2007 | PPAM | Modular Rough Neuro-fuzzy Systems for Classification. | Rafal Scherer, Marcin Korytkowski, Robert Nowicki, Leszek Rutkowski |
| 2006 | ICAISC | Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems. | Marcin Gabryel, Leszek Rutkowski |
| 2006 | ICAISC | Combining Logical-Type Neuro-fuzzy Systems. | Marcin Korytkowski, Robert Nowicki, Leszek Rutkowski, Rafal Scherer |
| 2006 | IJCNN | On Combining Backpropagation with Boosting. | Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer |
| 2005 | IJCNN | Flexible Takagi-Sugeno fuzzy systems. | Krzysztof Cpalka, Leszek Rutkowski |
| 2004 | ICAISC | Fuzzy Modelling with a Compromise Fuzzy Reasoning. | Krzysztof Cpalka, Leszek Rutkowski |
| 2004 | ICAISC | Neuro-Fuzzy Relational Classifiers. | Rafal Scherer, Leszek Rutkowski |
| 2003 | IJCNN | A hierarchical neuro-fuzzy system based on S-implications. | Robert Nowicki, Rafal Scherer, Leszek Rutkowski |
| 2001 | PPAM | Connectionist Structures of Type 2 Fuzzy Inference Systems. | Janusz T. Starczewski, Leszek Rutkowski |
| 1996 | ICIP | Neural networks and semi-closed-loop predictive vector quantization for image compression. | Robert Cierniak, Leszek Rutkowski |