Na Zou

Orcid: 0000-0003-1984-795X

According to our database¹, Na Zou authored at least 60 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Shortcut Learning of Large Language Models in Natural Language Understanding.

[BibT_eX]

[DOI]

Commun. ACM, January, 2024

Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

Gradient Rewiring for Editable Graph Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2024

IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Chasing Fairness in Graphs: A GNN Architecture Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Marginal Nodes Matter: Towards Structure Fairness in Graphs.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2023

In-Processing Modeling Techniques for Machine Learning Fairness: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, April, 2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2023

CODA: Temporal Domain Generalization via Concept Drift Simulator.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Fairness: Age-Harmless Parkinson's Detection via Voice.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Assumption-free Bias Mitigation.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

[BibT_eX]

[DOI]

CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions.

[BibT_eX]

[DOI]

CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

CoRR, 2023

RELIANT: Fair Knowledge Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Mitigating Algorithmic Bias with Limited Annotations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.

[BibT_eX]

[DOI]

Zhimeng Stephen Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fair Graph Distillation.

[BibT_eX]

[DOI]

Qizhang Feng

Zhimeng Stephen Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-centric AI: Techniques and Future Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DIVISION: Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Graph Mixup with Soft Alignments.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Fair Graph Representations via Automated Data Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

Defense Against Explanation Manipulation.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Mitigating Relational Bias on Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

CoRR, 2022

Fair Machine Learning in Healthcare: A Review.

[BibT_eX]

[DOI]

CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.

[BibT_eX]

[DOI]

CoRR, 2022

Projection Uniformity of Asymmetric Fractional Factorials.

[BibT_eX]

[DOI]

Axioms, 2022

AutoVideo: An Automated Video Action Recognition System.

[BibT_eX]

[DOI]

Alfredo Costilla-Reyes

Na Zou

Xia Hu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

2021

Social network and family business: Uncovering hybrid family firms.

[BibT_eX]

[DOI]

Ronald S. Burt

Sonja Opper

Na Zou

Soc. Networks, 2021

Fairness in Deep Learning: A Computational Perspective.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

Modeling Techniques for Machine Learning Fairness: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

AutoVideo: An Automated Video Action Recognition System.

[BibT_eX]

[DOI]

CoRR, 2021

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Unified Taylor Framework for Revisiting Attribution Methods.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.

[BibT_eX]

[DOI]

Yuening Li

Daochen Zha

Praveen Kumar Venugopal

Na Zou

Xia Hu

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Multi-Channel Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Non-Local U-Nets for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-Channel Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

PyODDS: An End-to-End Outlier Detection System.

[BibT_eX]

[DOI]

CoRR, 2019

Modeling and simulation of human lower extremity motion.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

多特征融合红外舰船尾流检测方法研究 (Research on Multi Feature Fusion Infrared Ship Wake Detection).

[BibT_eX]

[DOI]

Na Zou

Jinwen Tian

计算机科学, 2018

A Data Adaptive Biological Sequence Representation for Supervised Learning.

[BibT_eX]

[DOI]

Hande Cakin

Berk Görgülü

Mustafa Gökçe Baydogan

Na Zou

Jing Li

J. Heal. Informatics Res., 2018

Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

2015

A probabilistic framework of transfer learning - theory and application.

[BibT_eX]

[DOI]

Na Zou

PhD thesis, 2015

A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.

[BibT_eX]

[DOI]

Na Zou

Yun Zhu

Ji Zhu

Mustafa Gökçe Baydogan

Wei Wang

Jing Li

Technometrics, 2015

2011

Design efficiency for minimum projection uniformity designs with two levels.

[BibT_eX]

[DOI]

Hong Qin

Na Zou

Shangli Zhang

J. Syst. Sci. Complex., 2011

Na Zou

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...