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 | 247* | 2019 |
Neural Architecture Transfer Z Lu, G Sreekumar, E Goodman, W Banzhaf, K Deb, VN Boddeti IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 58 | 2021 |
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 | 57 | 2020 |
Multiobjective evolutionary design of deep convolutional neural networks for image classification Z Lu, I Whalen, Y Dhebar, K Deb, ED Goodman, W Banzhaf, VN Boddeti IEEE Transactions on Evolutionary Computation 25 (2), 277-291, 2020 | 52* | 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 | 36 | 2020 |
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 | 29 | 2020 |
FaPN: Feature-aligned pyramid network for dense image prediction S Huang, Z Lu, R Cheng, C He Proceedings of the IEEE/CVF International Conference on Computer Vision, 864-873, 2021 | 11 | 2021 |
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 | 9 | 2017 |
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 | 6* | 2018 |
A new many-objective evolutionary algorithm based on generalized Pareto dominance S Zhu, L Xu, ED Goodman, Z Lu IEEE Transactions on Cybernetics, 2021 | 5 | 2021 |
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 | 5 | 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 | 5 | 2015 |
End-to-End Dense Video Captioning with Parallel Decoding T Wang, R Zhang, Z Lu, F Zheng, R Cheng, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
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 |
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 |
Approximate Bilevel Optimization with Population-Based Evolutionary Algorithms K Deb, A Sinha, P Malo, Z Lu Bilevel Optimization, 361-402, 2020 | 2 | 2020 |
Minimizing Expected Deviation in Upper-level Outcomes Due to Lower-level Decision-making in Hierarchical Multi-objective Problems K Deb, Z Lu, I Kropp, JS Hernandez-Suarez, R Hussein, S Miller, ... IEEE Transactions on Evolutionary Computation, 2022 | | 2022 |
Semantic-Aware Pretraining for Dense Video Captioning T Wang, Z Liu, F Zheng, Z Lu, R Cheng, P Luo arXiv preprint arXiv:2204.07449, 2022 | | 2022 |
Accelerating multi-objective neural architecture search by random-weight evaluation S Hu, R Cheng, C He, Z Lu, J Wang, M Zhang Complex & Intelligent Systems, 1-10, 2021 | | 2021 |