| 2024 | IVCNZ | Investigating Feature Clustering for Generalised 3D Point Cloud Part Segmentation. | Nirmal Das, Steven Mills, Lech Szymanski, Xinyu Jiang, Tapabrata Chakraborti |
| 2024 | IVCNZ | Image Segmentation with a Deep Declarative Network. | Lech Szymanski, Steven Mills, Garth Wales, Hayden McAlister |
| 2021 | IVCNZ | Coarse facial feature detection in sheep. | Lech Szymanski, Michael Lee |
| 2020 | IVCNZ | Predicting Cherry Quality Using Siamese Networks. | Yerren van Sint Annaland, Lech Szymanski, Steven Mills |
| 2020 | IVCNZ | Deep Sheep: kinship assignment in livestock from facial images. | Lech Szymanski, Michael Lee |
| 2019 | CogSci | A Convolutional Self-organizing Map for Visual Category Learning. | Chris Gorman, Lech Szymanski, Anthony V. Robins, Alistair Knott |
| 2018 | IVCNZ | Stacked Hourglass CNN for Handwritten Character Location. | Hannah Clark-Younger, Steven Mills, Lech Szymanski |
| 2017 | IVCNZ | Increasing the accuracy of convolutional neural networks with progressive reinitialisation. | Craig Atkinson, Brendan McCane, Lech Szymanski |
| 2017 | IVCNZ | CNN for historic handwritten document search. | Lech Szymanski, Steven Mills |
| 2016 | ICPR | Deep networks are efficient for circular manifolds. | Brendan McCane, Lech Szymanski |
| 2014 | IVCNZ | Hierarchical Structure from Motion from Endoscopic Video. | Steven Mills, Lech Szymanski, Reuben Johnson |
| 2013 | IJCNN | Learning in deep architectures with folding transformations. | Lech Szymanski, Brendan McCane |
| 2013 | IVCNZ | Singularity resolution for dimension reduction. | Shawn Martin, Lech Szymanski |
| 2012 | IJCNN | Push-pull separability objective for supervised layer-wise training of neural networks. | Lech Szymanski, Brendan McCane |
| 2012 | IJCNN | Deep, super-narrow neural network is a universal classifier. | Lech Szymanski, Brendan McCane |
| 2005 | Interspeech | Comb filter decomposition for robust ASR. | Lech Szymanski, Martin Bouchard |