Zhichao Lu
Title
Cited by
Cited by
Year
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
142020
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
82020
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
72017
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
52020
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
42017
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
42016
Handling decision variable uncertainty in bilevel optimization problems
Z Lu, K Deb, A Sinha
2015 IEEE Congress on Evolutionary Computation (CEC), 1683-1690, 2015
42015
Neural architecture transfer
Z Lu, G Sreekumar, E Goodman, W Banzhaf, K Deb, VN Boddeti
arXiv preprint arXiv:2005.05859, 2020
32020
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
32018
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
32015
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
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