Han Bao
Orcid: 0000-0002-0109-8260Affiliations:
- University of Iowa, Iowa City, IA, USA
According to our database1,
Han Bao
authored at least 19 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.
IEEE Trans. Knowl. Data Eng., September, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.
Knowl. Inf. Syst., November, 2023
Knowl. Inf. Syst., June, 2023
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features.
ACM Trans. Intell. Syst. Technol., 2022
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
ACM Trans. Intell. Syst. Technol., 2021
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
Proceedings of the IEEE International Conference on Data Mining, 2021
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
2020
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Proceedings of the IEEE International Conference on Data Mining, 2018