| 2024 | GECCO | Intepretable Local Explanations Through Genetic Programming. | Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2024 | IVCNZ | Re-Identification of Individual Kākā: An Explainable DINO-Based Model. | Paula Maddigan, Oskar Ehrhardt, Andrew Lensen, Rachael C. Shaw |
| 2023 | EUROGP | A Genetic Programming Encoder for Increasing Autoencoder Interpretability. | Finn Schofield, Luis Slyfield, Andrew Lensen |
| 2023 | GECCO | Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. | Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2022 | CEC | Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. | Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2022 | GECCO | Improving the search of learning classifier systems through interpretable feature clustering. | Hayden Andersen, Andrew Lensen, Will N. Browne |
| 2022 | GECCO | Large scale image classification using GPU-based genetic programming. | Peng Zeng, Andrew Lensen, Yanan Sun |
| 2022 | PRICAI | Speeding up Genetic Programming Based Symbolic Regression Using GPUs. | Rui Zhang, Andrew Lensen, Yanan Sun |
| 2021 | CEC | Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. | Hayden Andersen, Andrew Lensen, Bing Xue |
| 2021 | CEC | Using Genetic Programming to Find Functional Mappings for UMAP Embeddings. | Finn Schofield, Andrew Lensen |
| 2021 | EUROGP | Mining Feature Relationships in Data. | Andrew Lensen |
| 2020 | CEC | Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. | Finn Schofield, Andrew Lensen |
| 2019 | EUROGP | Can Genetic Programming Do Manifold Learning Too? | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2018 | CEC | Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. | Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2018 | EUROGP | Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2018 | GECCO | Automatically evolving difficult benchmark feature selection datasets with genetic programming. | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2017 | GECCO | GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2017 | GECCO | Improving | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2016 | EUROGP | Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. | Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue |
| 2015 | CEC | Genetic Programming for algae detection in river images. | Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma |
| 2015 | IVCNZ | A hybrid Genetic Programming approach to feature detection and image classification. | Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue |