Han Bao

According to our database, Han Bao authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Referee-Meta-Learning for Fast Adaptation of Locational Fairness.

Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou

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.

Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia

Knowl. Inf. Syst., November, 2023

Harnessing heterogeneity in space with statistically guided meta-learning.

Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam

Knowl. Inf. Syst., June, 2023

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.

Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun

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.

Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li

ACM Trans. Intell. Syst. Technol., 2022

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).

Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam

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.

Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia

Proceedings of the IEEE International Conference on Data Mining, 2022

Sailing in the location-based fairness-bias sphere.

Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

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.

Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Significant DBSCAN+: Statistically Robust Density-based Clustering.

Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou

ACM Trans. Intell. Syst. Technol., 2021

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.

Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam

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.

Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

Discovering Spatial Mixture Patterns of Interest.

Yiqun Xie, Han Bao, Yan Li, Shashi Shekhar

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.

Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan

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.

Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019

Novel Radiomic Features Based on Graph Theory for PET Image Analysis.

Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li

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.

Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, Quanzheng Li

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets.

Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight

Proceedings of the IEEE International Conference on Data Mining, 2018