overview

Dr. Zou's research focus is statistical machine learning on large scale, dynamic and networked data with various real-world applications. Specifically, her interests include fairness in machine learning from a computational perspective, interpretable machine learning, integrating Bayesian statistics and sparse learning models for transfer learning, statistical and predictive modeling of dynamic and multi-dimensional data for network evolution and change detection. She is also interested in brain informatics to model brain connectivity for cognitive performance assessment, biomarker identification and disease diagnosis.

education and training
selected publications
Academic Articles8
  • Du, M., Yang, F., Zou, N. a., & Hu, X (2021). Fairness in Deep Learning: A Computational Perspective. IEEE Intelligent Systems. 36(4), 25-34.
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  • Bhardwaj, A., Jones, S. Z., Kalantar, N., Pei, Z., Vickers, J., Wangler, T., Zavattieri, P., & Zou, N. a (2019). Additive Manufacturing Processes for Infrastructure Construction: A Review. Journal of Manufacturing Science and Engineering. 141(9),
  • Huang, X., Li, J., Zou, N. a., & Hu, X (2018). A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Transactions on Knowledge Discovery from Data. 12(6), 1-24.
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  • Zou, N. a., & Huang, X. (2018). Empirical Bayes Transfer Learning for Uncertainty Characterization in Predicting Parkinsons Disease Severity. IISE Transactions on Healthcare Systems Engineering. (3), 219.
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  • Zou, N. a., & Li, J. (2017). Modeling and change detection of dynamic network data by a network state space model. IISE Transactions. 49(1), 45-57.
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Conference Papers9
  • Tang, R., Du, M., Li, Y., Liu, Z., Zou, N. a., & Hu, X (2021). Mitigating Gender Bias in Captioning Systems. Proceedings of the Web Conference 2021, WWW '21: The Web Conference 2021. 633-645.
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  • Deng, H., Zou, N. a., Du, M., Chen, W., Feng, G., Hu, X., & Intelligence, A (2021). A Unified Taylor Framework for Revisiting Attribution Methods. THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 35, 11462-11469.
  • Li, Y., Zha, D., Venugopal, P., Zou, N. a., & Hu, X (2020). PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. Companion Proceedings of the Web Conference 2020, WWW '20: The Web Conference 2020. 153-157.
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  • Wang, Z., Zou, N. a., Shen, D., Ji, S., & Intelligence, A (2020). Non-Local U-Nets for Biomedical Image Segmentation. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 34, 6315-6322.
  • Yuan, H., Zou, N. a., Zhang, S., Peng, H., & Ji, S (2019). Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. 2019 IEEE International Conference on Data Mining (ICDM), 2019 IEEE International Conference on Data Mining (ICDM). 00, 806-815.
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Email
nzou1@tamu.edu
First Name
Na
Last Name
Zou
mailing address
Texas A&M University; Industrial Engineering; 3131 TAMU
College Station, TX 77843-3131
USA