Na Zou
Cited by
Cited by
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems 36 (4), 25-34, 2020
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
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
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
Pyodds: An end-to-end outlier detection system with automated machine learning
Y Li, D Zha, P Venugopal, N Zou, X Hu
Companion Proceedings of the Web Conference 2020, 153-157, 2020
Shortcut learning of large language models in natural language understanding
M Du, F He, N Zou, D Tao, X Hu
Communications of the ACM 67 (1), 110-120, 2023
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
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
3D printing of biomass-fungi composite material: a preliminary study
A Bhardwaj, J Vasselli, M Lucht, Z Pei, B Shaw, Z Grasley, X Wei, N Zou
Manufacturing Letters 24, 96-99, 2020
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
Fmp: Toward fair graph message passing against topology bias
Z Jiang, X Han, C Fan, Z Liu, N Zou, A Mostafavi, X Hu
arXiv preprint arXiv:2202.04187, 2022
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
Multi-channel graph neural networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conferences on Artificial Intelligence, 2020
3D printing of biomass–fungi composite material: Effects of mixture composition on print quality
A Bhardwaj, AM Rahman, X Wei, Z Pei, D Truong, M Lucht, N Zou
Journal of Manufacturing and Materials Processing 5 (4), 112, 2021
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
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
Modeling techniques for machine learning fairness: A survey
M Wan, D Zha, N Liu, N Zou
arXiv preprint arXiv:2111.03015, 2021
Metabolic connectivity as index of verbal working memory
N Zou, G Chetelat, MG Baydogan, J Li, FU Fischer, D Titov, J Dukart, ...
Journal of Cerebral Blood Flow & Metabolism 35 (7), 1122-1126, 2015
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
Graph mixup with soft alignments
H Ling, Z Jiang, M Liu, S Ji, N Zou
International Conference on Machine Learning, 21335-21349, 2023
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