Artiklar med krav på offentlig åtkomst - Na ZouLäs mer
Inte tillgängliga någonstans: 3
Data-centric AI: techniques and future perspectives
D Zha, KH Lai, F Yang, N Zou, H Gao, X Hu
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Krav: US National Science Foundation
Unifying fourteen post-hoc attribution methods with taylor interactions
H Deng, N Zou, M Du, W Chen, G Feng, Z Yang, Z Li, Q Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (7), 4625-4640, 2024
Krav: National Natural Science Foundation of China
Additive manufacturing for civil infrastructure design and construction: Current state and gaps
A Bhardwaj, N Zou, ZJ Pei
International Manufacturing Science and Engineering Conference 51357 …, 2018
Krav: US National Science Foundation
Tillgängliga någonstans: 32
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems 36 (4), 25-34, 2020
Krav: US National Science Foundation, US Department of Defense
Non-local u-nets for biomedical image segmentation
Z Wang, N Zou, D Shen, S Ji
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6315-6322, 2020
Krav: US National Science Foundation, US Department of Defense
In-processing modeling techniques for machine learning fairness: A survey
M Wan, D Zha, N Liu, N Zou
ACM Transactions on Knowledge Discovery from Data 17 (3), 1-27, 2023
Krav: US National Science Foundation
Specae: Spectral autoencoder for anomaly detection in attributed networks
Y Li, X Huang, J Li, M Du, N Zou
Proceedings of the 28th ACM international conference on information and …, 2019
Krav: US National Science Foundation
Additive manufacturing processes for infrastructure construction: a review
A Bhardwaj, SZ Jones, N Kalantar, Z Pei, J Vickers, T Wangler, ...
Journal of Manufacturing Science and Engineering 141 (9), 091010, 2019
Krav: UK Engineering and Physical Sciences Research Council
Mitigating gender bias in captioning systems
R Tang, M Du, Y Li, Z Liu, N Zou, X Hu
Proceedings of the Web Conference 2021, 633-645, 2021
Krav: US National Science Foundation
Metabolic connectivity for differential diagnosis of dementing disorders
D Titov, J Diehl-Schmid, K Shi, R Perneczky, N Zou, T Grimmer, J Li, ...
Journal of Cerebral Blood Flow & Metabolism 37 (1), 252-262, 2017
Krav: UK Medical Research Council
Learning fair graph representations via automated data augmentations
H Ling, Z Jiang, Y Luo, S Ji, N Zou
International Conference on Learning Representations (ICLR), 2023
Krav: US National Science Foundation
Multi-channel graph neural networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conferences on Artificial Intelligence, 2020
Krav: US National Science Foundation, US Department of Defense
Graph mixup with soft alignments
H Ling, Z Jiang, M Liu, S Ji, N Zou
International Conference on Machine Learning, 21335-21349, 2023
Krav: US National Science Foundation
Modeling and change detection of dynamic network data by a network state space model
N Zou, J Li
IISE Transactions 49 (1), 45-57, 2017
Krav: US National Science Foundation
A transfer learning approach for predictive modeling of degenerate biological systems
N Zou, Y Zhu, J Zhu, M Baydogan, W Wang, J Li
Technometrics 57 (3), 362-373, 2015
Krav: US National Institutes of Health
Towards automated imbalanced learning with deep hierarchical reinforcement learning
D Zha, KH Lai, Q Tan, S Ding, N Zou, XB Hu
Proceedings of the 31st ACM International Conference on Information …, 2022
Krav: US National Science Foundation
Reliant: Fair knowledge distillation for graph neural networks
Y Dong, B Zhang, Y Yuan, N Zou, Q Wang, J Li
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
Krav: US National Science Foundation
Fair graph distillation
Q Feng, ZS Jiang, R Li, Y Wang, N Zou, J Bian, X Hu
Advances in Neural Information Processing Systems 36, 80644-80660, 2023
Krav: US National Science Foundation
A unified Taylor framework for revisiting attribution methods
H Deng, N Zou, M Du, W Chen, G Feng, X Hu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11462 …, 2021
Krav: National Natural Science Foundation of China
Learning hierarchical and shared features for improving 3D neuron reconstruction
H Yuan, N Zou, S Zhang, H Peng, S Ji
2019 IEEE International Conference on Data Mining (ICDM), 806-815, 2019
Krav: US National Science Foundation
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