| NSGA-Net: neural architecture search using multi-objective genetic algorithm Z Lu, I Whalen, V Boddeti, Y Dhebar, K Deb, E Goodman, W Banzhaf Genetic and Evolutionary Computation Conference (GECCO) 🏆, 2019 | 516* | 2019 |
| FaPN: Feature-aligned pyramid network for dense image prediction S Huang, Z Lu, R Cheng, C He IEEE/CVF International Conference on Computer Vision (ICCV), 864-873, 2021 | 172 | 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), 35-51, 2020 | 169 | 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, 2021 | 158 | 2021 |
| Neural architecture transfer Z Lu, G Sreekumar, E Goodman, W Banzhaf, K Deb, VN Boddeti IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 2971-2989, 2021 | 152 | 2021 |
| End-to-end dense video captioning with parallel decoding T Wang, R Zhang, Z Lu, F Zheng, R Cheng, P Luo IEEE/CVF International Conference on Computer Vision (ICCV), 6847-6857, 2021 | 139 | 2021 |
| Bilevel optimization based on iterative approximation of multiple mappings A Sinha, Z Lu, K Deb, P Malo Journal of Heuristics 26, 151-185, 2020 | 58 | 2020 |
| MUXConv: Information multiplexing in convolutional neural networks Z Lu, K Deb, VN Boddeti IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12044 …, 2020 | 57 | 2020 |
| Neural architecture search as multiobjective optimization benchmarks: Problem formulation and performance assessment Z Lu, R Cheng, Y Jin, KC Tan, K Deb IEEE transactions on evolutionary computation, 2023 | 47 | 2023 |
| A new many-objective evolutionary algorithm based on generalized Pareto dominance S Zhu, L Xu, ED Goodman, Z Lu IEEE Transactions on Cybernetics 52 (8), 7776-7790, 2021 | 42 | 2021 |
| Gamma challenge: glaucoma grading from multi-modality images J Wu, H Fang, F Li, H Fu, F Lin, J Li, Y Huang, Q Yu, S Song, X Xu, Y Xu, ... Medical Image Analysis 90, 102938, 2023 | 40 | 2023 |
| Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix T Wang, W Jiang, Z Lu, F Zheng, R Cheng, C Yin, P Luo International Conference on Machine Learning, 22680-22690, 2022 | 25 | 2022 |
| Revisiting residual networks for adversarial robustness S Huang, Z Lu, K Deb, VN Boddeti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| 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 | 14 | 2017 |
| Towards transmission-friendly and robust cnn models over cloud and device C Ding, Z Lu, F Juefei-Xu, VN Boddeti, Y Li, J Cao IEEE Transactions on Mobile Computing, 2022 | 12 | 2022 |
| Surrogate-assisted multiobjective neural architecture search for real-time semantic segmentation Z Lu, R Cheng, S Huang, H Zhang, C Qiu, F Yang IEEE Transactions on Artificial Intelligence, 2022 | 11 | 2022 |
| Handling decision variable uncertainty in bilevel optimization problems Z Lu, K Deb, A Sinha 2015 IEEE Congress on Evolutionary Computation (CEC), 1683-1690, 2015 | 9 | 2015 |
| 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 | 8 | 2021 |
| 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 | 8* | 2018 |
| Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives C Ding, Z Lu, S Wang, R Cheng, VN Boddeti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
