Shangde Gao on Muck Rack

Shangde Gao

As seen in: Nature, Wiley Online Library
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Shangde

Contact Shangde, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Demand-oriented regionalization with local data

|
By Shangde Gao, Changjie Chen, Seyedeh Mobina Noorani
| Nature Verified
Abstract Climate adaptation planning often relies on census-based or neighborhood boundaries, yet such fixed units seldom match the diverse and evolving problems that interventions seek to resolve. This underscores the necessity of designing demand-oriented regionalization that is problem-specific and responsive to local priorities.
Open in Who Shared Issue with article?

[2512.00748] Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization

|
By Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (694) Issue with article?

[2511.10857] Enhancing Demand-Oriented Regionalization with Agentic AI and Local Heterogeneous Data for Adaptation Planning

|
By Karla Saldaña, Shangde Gao, Changjie Chen, Seyedeh Mobina
| arxiv.org
arXiv:2511.10857 (cs) View PDF HTML (experimental) Comments: Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2511.10857 [cs.AI] (or arXiv:2511.10857v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2511.10857 Submission history From: Shangde Gao [ view email] [v1] Thu, 13 Nov 2025 23:50:36 UTC (5,789 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps...
Open in Who Shared View Duplicates (36) Issue with article?
See all 5 licensed articles (6 Total)
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified