Na Zou

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 74

Top Venues

CoRR

KDD

AAAI

ACM Trans. Knowl. Discov. Data

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR (2024)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI (2024)
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR (2024)
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67 (1) (2024)
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD (2024)
Sirui Ding, Shenghan Zhang, Xia Hu, Na Zou
Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective. J. Biomed. Informatics 156 (2024)
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI (2023)
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
Graph Mixup with Soft Alignments. ICML (2023)
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR (2023)
Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling. J. Biomed. Informatics 143 (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR (2023)
Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. CoRR (2023)
Yicheng Wang, Xiaotian Han, Leisheng Yu, Na Zou
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice. CoRR (2023)
Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
Fair Graph Distillation. NeurIPS (2023)
Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. ACM Trans. Knowl. Discov. Data 17 (3) (2023)
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM (2023)
Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu
Mitigating Algorithmic Bias with Limited Annotations. ECML/PKDD (2) (2023)
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu
DIVISION: Memory Efficient Training via Dual Activation Precision. ICML (2023)
Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
Data-centric AI: Techniques and Future Perspectives. KDD (2023)
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR (2023)
Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. NeurIPS (2023)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR (2023)
Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Hu
Weight Perturbation Can Help Fairness under Distribution Shift. CoRR (2023)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. CoRR (2023)
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. 25 (2) (2023)
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
Learning Fair Graph Representations via Automated Data Augmentations. ICLR (2023)
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR (2023)
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
Towards Assumption-free Bias Mitigation. CoRR (2023)
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. 2023 (2023)
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR (2023)
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR (2023)
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR (2023)
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
Graph Mixup with Soft Alignments. CoRR (2023)
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
Mitigating Relational Bias on Knowledge Graphs. CoRR (2022)
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR (2022)
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM (2022)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR (2022)
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla Reyes, Na Zou, Xia Hu
AutoVideo: An Automated Video Action Recognition System. IJCAI (2022)
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu
Towards Memory Efficient Training via Dual Activation Precision. CoRR (2022)
Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
Defense Against Explanation Manipulation. Frontiers Big Data 5 (2022)
Qizhang Feng, Mengnan Du, Na Zou, Xia Hu
Fair Machine Learning in Healthcare: A Review. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR (2022)
Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Hu
Mitigating Algorithmic Bias with Limited Annotations. CoRR (2022)
Kang Wang, Zujun Ou, Hong Qin, Na Zou
Projection Uniformity of Asymmetric Fractional Factorials. Axioms 11 (12) (2022)
Ronald S. Burt, Sonja Opper, Na Zou
Social network and family business: Uncovering hybrid family firms. Soc. Networks 65 (2021)
Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
Defense Against Explanation Manipulation. CoRR (2021)
Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
Mitigating Gender Bias in Captioning Systems. WWW (2021)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
A Unified Taylor Framework for Revisiting Attribution Methods. AAAI (2021)
Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
Modeling Techniques for Machine Learning Fairness: A Survey. CoRR (2021)
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. KDD (2021)
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR (2021)
Mengnan Du, Fan Yang, Na Zou, Xia Hu
Fairness in Deep Learning: A Computational Perspective. IEEE Intell. Syst. 36 (4) (2021)
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu
AutoVideo: An Automated Video Action Recognition System. CoRR (2021)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
A General Taylor Framework for Unifying and Revisiting Attribution Methods. CoRR (2021)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Multi-Channel Graph Neural Networks. IJCAI (2020)
Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) (2020)
Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji
Non-Local U-Nets for Biomedical Image Segmentation. AAAI (2020)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
A Unified Taylor Framework for Revisiting Attribution Methods. CoRR (2020)
Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR (2020)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Multi-Channel Graph Convolutional Networks. CoRR (2019)
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR (2019)
Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. ICDM (2019)
Meng Zhang, Na Zou, Ge Cao, Chunxiao Li
Modeling and simulation of human lower extremity motion. ICTC (2019)
Yuening Li, Daochen Zha, Na Zou, Xia Hu
PyODDS: An End-to-End Outlier Detection System. CoRR (2019)
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM (2019)
Mengnan Du, Fan Yang, Na Zou, Xia Hu
Fairness in Deep Learning: A Computational Perspective. CoRR (2019)
Xiao Huang, Jundong Li, Na Zou, Xia Hu
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Na Zou, Jinwen Tian
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). 计算机科学 45 (11A) (2018)
Hande Cakin, Berk Görgülü, Mustafa Gökçe Baydogan, Na Zou, Jing Li
A Data Adaptive Biological Sequence Representation for Supervised Learning. J. Heal. Informatics Res. 2 (4) (2018)
Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation. CoRR (2018)
Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan, Wei Wang, Jing Li
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems. Technometrics 57 (3) (2015)
Hong Qin, Na Zou, Shangli Zhang
Design efficiency for minimum projection uniformity designs with two levels. J. Syst. Sci. Complex. 24 (4) (2011)

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Publication Activity (10 Years)

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Na Zou