| Adaptive cross-generation differential evolution operators for multiobjective optimization X Qiu, JX Xu, KC Tan, HA Abbass IEEE Transactions on Evolutionary Computation 20 (2), 232-244, 2015 | 116 | 2015 |
| A new differential evolution algorithm for minimax optimization in robust design X Qiu, JX Xu, Y Xu, KC Tan IEEE transactions on cybernetics 48 (5), 1355-1368, 2017 | 87 | 2017 |
| Multiple exponential recombination for differential evolution X Qiu, KC Tan, JX Xu IEEE transactions on cybernetics 47 (4), 995-1006, 2016 | 78 | 2016 |
| Quantifying point-prediction uncertainty in neural networks via residual estimation with an i/o kernel X Qiu, E Meyerson, R Miikkulainen International Conference on Learning Representations (ICLR), 2020, 2019 | 64 | 2019 |
| Dynamic multiobjective optimization using evolutionary algorithm with Kalman filter A Muruganantham, Y Zhao, SB Gee, X Qiu, KC Tan Procedia Computer Science 24, 66-75, 2013 | 55 | 2013 |
| From prediction to prescription: evolutionary optimization of nonpharmaceutical interventions in the COVID-19 pandemic R Miikkulainen, O Francon, E Meyerson, X Qiu, D Sargent, E Canzani, ... IEEE Transactions on Evolutionary Computation 25 (2), 386-401, 2021 | 46 | 2021 |
| Effective reinforcement learning through evolutionary surrogate-assisted prescription O Francon, S Gonzalez, B Hodjat, E Meyerson, R Miikkulainen, X Qiu, ... Proceedings of the 2020 Genetic and evolutionary computation conference, 814-822, 2020 | 20 | 2020 |
| A novel diversity maintenance scheme for evolutionary multi-objective optimization SB Gee, X Qiu, KC Tan Intelligent Data Engineering and Automated Learning–IDEAL 2013: 14th …, 2013 | 14 | 2013 |
| Enhancing evolutionary optimization in uncertain environments by allocating evaluations via multi-armed bandit algorithms X Qiu, R Miikkulainen US Patent 11,574,201, 2023 | 13 | 2023 |
| Ascend by Evolv: AI-based massively multivariate conversion rate optimization R Miikulainen, M Brundage, J Epstein, T Foster, B Hodjat, N Iscoe, J Jiang, ... AI Magazine 41 (1), 44-60, 2020 | 12 | 2020 |
| Enhancing evolutionary conversion rate optimization via multi-armed bandit algorithms X Qiu, R Miikkulainen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9581-9588, 2019 | 9 | 2019 |
| Machine learning enhanced multi-objective evolutionary algorithm based on decomposition YS Liau, KC Tan, J Hu, X Qiu, SB Gee Intelligent Data Engineering and Automated Learning–IDEAL 2013: 14th …, 2013 | 9 | 2013 |
| An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem JK Chong, X Qiu 2016 IEEE Congress on Evolutionary Computation (CEC), 4096-4103, 2016 | 8 | 2016 |
| Detecting misclassification errors in neural networks with a gaussian process model X Qiu, R Miikkulainen Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8017-8027, 2022 | 7 | 2022 |
| A new framework for self-adapting control parameters in multi-objective optimization X Qiu, W Xu, JX Xu, KC Tan Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 6 | 2015 |
| Evaluating medical aesthetics treatments through evolved age-estimation models R Miikkulainen, E Meyerson, X Qiu, U Sinha, R Kumar, K Hofmann, ... Proceedings of the Genetic and Evolutionary Computation Conference, 1009-1017, 2021 | 5 | 2021 |
| From prediction to prescription: Ai-based optimization of non-pharmaceutical interventions for the covid-19 pandemic R Miikkulainen, O Francon, E Meyerson, X Qiu, E Canzani, B Hodjat arXiv preprint arXiv:2005.13766, 2020 | 5 | 2020 |
| A novel differential evolution (DE) algorithm for multi-objective optimization X Qiu, J Xu, KC Tan 2014 IEEE Congress on Evolutionary Computation (CEC), 2391-2396, 2014 | 5 | 2014 |
| Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings) E Meyerson, X Qiu, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference, 739-748, 2022 | 3 | 2022 |
| Shortest edit path crossover: a theory-driven solution to the permutation problem in evolutionary neural architecture search X Qiu, R Miikkulainen International Conference on Machine Learning, 28422-28447, 2023 | 2 | 2023 |
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu
