Han Bao

Orcid: 0000-0002-0109-8260

Affiliations:

University of Iowa, Iowa City, IA, USA

According to our database¹, Han Bao authored at least 29 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization.

[BibT_eX]

[DOI]

CoRR, May, 2026

SkillGen: Verified Inference-Time Agent Skill Synthesis.

[BibT_eX]

[DOI]

CoRR, May, 2026

PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs.

[BibT_eX]

[DOI]

CoRR, April, 2026

Position: General Alignment Has Hit a Ceiling; Edge Alignment Must Be Taken Seriously.

[BibT_eX]

[DOI]

CoRR, February, 2026

Capability-Oriented Training Induced Alignment Risk.

[BibT_eX]

[DOI]

CoRR, February, 2026

Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction.

[BibT_eX]

[DOI]

CoRR, February, 2026

IntraAI: Bridging Human-AI Understanding Through Intelligent Interface Design.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2025

2024

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2024

AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., November, 2023

Harnessing heterogeneity in space with statistically guided meta-learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., June, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Sailing in the location-based fairness-bias sphere.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2021

Significant DBSCAN+: Statistically Robust Density-based Clustering.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Discovering Spatial Mixture Patterns of Interest.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Han Bao

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