| Evolving Deep Neural Networks R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ... arXiv preprint arXiv:1703.00548, 8, 2017 | 1120* | 2017 |
| Image Based Localization in Indoor Environments JZ Liang, N Corso, E Turner, A Zakhor 2013 Fourth International Conference on Computing for Geospatial Research …, 2013 | 144 | 2013 |
| Evolutionary Architecture Search For Deep Multitask Networks J Liang, E Meyerson, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference, 466-473, 2018 | 141 | 2018 |
| Evolutionary Neural AutoML for Deep Learning J Liang, E Meyerson, B Hodjat, D Fink, K Mutch, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference, 401-409, 2019 | 110 | 2019 |
| Artificial intelligence in the age of neural networks and brain computing R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ... Elsevier, 2019 | 49 | 2019 |
| Image-Based Positioning of Mobile Devices in Indoor Environments JZ Liang, N Corso, E Turner, A Zakhor Multimodal location estimation of videos and images, 85-99, 2015 | 34 | 2015 |
| Evolutionary Bilevel Optimization for Complex Control Tasks JZ Liang, R Miikkulainen Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015 | 29 | 2015 |
| UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions P MacAlpine, J Hanna, J Liang, P Stone Robot Soccer World Cup, 118-131, 2015 | 28 | 2015 |
| Evolution of Deep Neural Network Structures JZ Liang, R Miikkulainen US Patent App. 15/794,905, 2018 | 24* | 2018 |
| Reduced-Complexity Data Acquisition System for Image-Based Localization in Indoor Environments JZ Liang, N Corso, E Turner, A Zakhor International Conference on Indoor Positioning and Indoor Navigation, 1-9, 2013 | 21 | 2013 |
| Designing counterfactual generators using deep model inversion J Thiagarajan, VS Narayanaswamy, D Rajan, J Liang, A Chaudhari, ... Advances in Neural Information Processing Systems 34, 16873-16884, 2021 | 19 | 2021 |
| Chapter 15-evolving deep neural networks R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ... Artificial Intelligence in the Age of Neural Networks and Brain Computing …, 0 | 18 | |
| Regularized Evolutionary Population-Based Training J Liang, S Gonzalez, H Shahrzad, R Miikkulainen arXiv preprint arXiv:2002.04225, 2021 | 9* | 2021 |
| Evolutionary architectures for evolution of deep neural networks JZ Liang, E Meyerson, R Miikkulainen US Patent 11,003,994, 2021 | 8 | 2021 |
| Multiobjective coevolution of deep neural network architectures JZ Liang, E Meyerson, R Miikkulainen US Patent App. 16/671,274, 2020 | 4 | 2020 |
| Discovering gated recurrent neural network architectures A Rawal, J Liang, R Miikkulainen Deep Neural Evolution: Deep Learning with Evolutionary Computation, 233-251, 2020 | 3 | 2020 |
| Population-Based Training for Loss Function Optimization J Liang, S Gonzalez, R Miikkulainen arXiv preprint arXiv:2002.04225, 2020 | 3 | 2020 |
| Training Stacked Denoising Autoencoders for Representation Learning J Liang, K Kelly arXiv preprint arXiv:2102.08012, 2014 | 1 | 2014 |
| Asynchronous Evolution of Deep Neural Network Architectures J Liang, H Shahrzad, R Miikkulainen arXiv preprint arXiv:2308.04102, 2023 | | 2023 |
| System and Method For Regularized Evolutionary Population-Based Training J Liang, R Miikkulainen, H Shahrzad, S Gonzalez US Patent App. 17/389,961, 2023 | | 2023 |
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu
