| NSGA-NET: neural architecture search using multi-objective genetic algorithm Z Lu, I Whalen, V Boddeti, Y Dhebar, K Deb, E Goodman, W Banzhaf Proceedings of the Genetic and Evolutionary Computation Conference, 419-427, 2019 | 96* | 2019 |
| Bilevel optimization based on iterative approximation of multiple mappings A Sinha, Z Lu, K Deb, P Malo Journal of Heuristics 26 (2), 151-185, 2020 | 14 | 2020 |
| Muxconv: Information multiplexing in convolutional neural networks Z Lu, K Deb, VN Boddeti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 8 | 2020 |
| Multi-objective evolutionary design of deep convolutional neural networks for image classification Z Lu, I Whalen, Y Dhebar, K Deb, E Goodman, W Banzhaf, VN Boddeti IEEE Transactions on Evolutionary Computation, 2020 | 7* | 2020 |
| Handling practicalities in agricultural policy optimization for water quality improvements B Barnhart, Z Lu, M Bostian, A Sinha, K Deb, L Kurkalova, M Jha, ... Proceedings of the Genetic and Evolutionary Computation Conference, 1065-1072, 2017 | 7 | 2017 |
| NSGANetV2: Evolutionary multi-objective surrogate-assisted neural architecture search Z Lu, K Deb, E Goodman, W Banzhaf, VN Boddeti European Conference on Computer Vision (ECCV), 2020 | 5 | 2020 |
| Solving a supply-chain management problem using a bilevel approach Z Lu, K Deb, E Goodman, J Wassick Proceedings of the Genetic and Evolutionary Computation Conference, 1185-1192, 2017 | 4 | 2017 |
| Finding reliable solutions in bilevel optimization problems under uncertainties Z Lu, K Deb, A Sinha Proceedings of the Genetic and Evolutionary Computation Conference 2016, 941-948, 2016 | 4 | 2016 |
| Handling decision variable uncertainty in bilevel optimization problems Z Lu, K Deb, A Sinha 2015 IEEE Congress on Evolutionary Computation (CEC), 1683-1690, 2015 | 4 | 2015 |
| Neural architecture transfer Z Lu, G Sreekumar, E Goodman, W Banzhaf, K Deb, VN Boddeti arXiv preprint arXiv:2005.05859, 2020 | 3 | 2020 |
| Uncertainty handling in bilevel optimization for robust and reliable solutions Z Lu, K Deb, A Sinha International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2018 | 3* | 2018 |
| Balancing survival of feasible and infeasible solutions in constraint evolutionary optimization algorithms Z Lu, K Deb, H Singh 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 3 | 2018 |
| Towards optimal ship design and valuable knowledge discovery under uncertain conditions K Deb, Z Lu, CB McKesson, CC Trumbach, L DeCan 2015 IEEE Congress on Evolutionary Computation (CEC), 1815-1822, 2015 | 3 | 2015 |
| Multi-objective Neural Architecture Search with Almost No Training S Hu, R Cheng, C He, Z Lu arXiv preprint arXiv:2011.13591, 2020 | | 2020 |
| Evolutionary Multi-Objective Bi-Level Optimization for Efficient Deep Neural Network Architecture Design Z Lu Michigan State University, 2020 | | 2020 |
| Approximate Bilevel Optimization with Population-Based Evolutionary Algorithms K Deb, A Sinha, P Malo, Z Lu Bilevel Optimization, 361-402, 2020 | | 2020 |
| The (M-1)+ 1 framework of relaxed Pareto dominance for evolutionary many-objective optimization S Zhu, L Xu, E Goodman, K Deb, Z Lu | | |
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
