| Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation T Rios, B van Stein, T Bäck, B Sendhoff, S Menzel IEEE Transactions on Evolutionary Computation 26 (2), 206-217, 2021 | 26 | 2021 |
| On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization T Rios, T Bäck, B van Stein, B Sendhoff, S Menzel 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 791-798, 2019 | 24 | 2019 |
| Feature Visualization for 3D Point Cloud Autoencoders T Rios, B van Stein, S Menzel, T Back, B Sendhoff, P Wollstadt 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 22 | 2020 |
| On the performance of oversampling techniques for class imbalance problems J Kong, T Rios, W Kowalczyk, S Menzel, T Bäck Pacific-Asia Conference on Knowledge Discovery and Data Mining, 84-96, 2020 | 21 | 2020 |
| Exploiting Generative Models for Performance Predictions of 3D Car Designs S Saha, T Rios, LL Minku, BV Stein, P Wollstadt, X Yao, T Back, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-9, 2021 | 17 | 2021 |
| Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders T Rios, B van Stein, P Wollstadt, T Bäck, B Sendhoff, S Menzel 2021 IEEE Congress on Evolutionary Computation (CEC), 514-521, 2021 | 14 | 2021 |
| Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders T Rios, P Wollstadt, B van Stein, T Bäck, Z Xu, B Sendhoff, S Menzel 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1367-1374, 2019 | 13 | 2019 |
| Large Language and Text-to-3D Models for Engineering Design Optimization T Rios, S Menzel, B Sendhoff 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1704-1711, 2023 | 10 | 2023 |
| Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization T Rios, B Van Stein, T Bäck, B Sendhoff, S Menzel 2021 International Conference on 3D Vision (3DV), 1024-1033, 2021 | 9 | 2021 |
| Learning hyperparameter predictors for similarity-based multidisciplinary topology optimization M Bujny, MS Yousaf, N Zurbrugg, D Detwiler, S Menzel, S Ramnath, ... Scientific Reports 13 (1), 14856, 2023 | 4 | 2023 |
| Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds T Rios, J Kong, B van Stein, T Bäck, P Wollstadt, B Sendhoff, S Menzel 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 942-949, 2020 | 4 | 2020 |
| Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model M Wong, T Rios, S Menzel, YS Ong arXiv preprint arXiv:2406.09143, 2024 | 3 | 2024 |
| Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks S Saha, T Rios, S Menzel, B Sendhoff, T Bäck, X Yao, Z Xu, P Wollstadt 2019 International Conference on Data Mining Workshops (ICDMW), 785-792, 2019 | 3 | 2019 |
| Large language model-assisted surrogate modelling for engineering optimization T Rios, F Lanfermann, S Menzel 2024 IEEE Conference on Artificial Intelligence (CAI), 796-803, 2024 | 2 | 2024 |
| LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking M Wong, J Liu, T Rios, S Menzel, YS Ong arXiv preprint arXiv:2406.14917, 2024 | 2 | 2024 |
| Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior S Saha, T Rios, LL Minku, X Yao, Z Xu, B Sendhoff, S Menzel 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 858-866, 2019 | 2 | 2019 |
| A modularized level set topology optimization methodology for vibro-acoustic problems A Neofytou, J Hyun, M Bujny, T Rios, S Menzel, HA Kim AIAA SCITECH 2023 Forum, 0974, 2023 | 1 | 2023 |
| Level set topology optimization with sparse automatic differentiation A Neofytou, T Rios, M Bujny, S Menzel, HA Kim Structural and Multidisciplinary Optimization 67 (10), 178, 2024 | | 2024 |
| Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models M Wong, T Rios, S Menzel, YS Ong 2024 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2024 | | 2024 |
| Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery Q Xu, J Liu, M Wong, G Jin, R Lau, YS Ong, S Menzel, T Rios, JH Lim, ... 2024 IEEE Conference on Artificial Intelligence (CAI), 1432-1435, 2024 | | 2024 |
