Xiaofan Liang
Biographic Data
| ID | 6505704 |
|---|---|
| NAME | Xiaofan Liang |
| GIVEN NAMES | Xiaofan |
| FAMILY NAME | Liang |
| SIGNATURE | LIANG X |
| AFFILIATIONS | Georgia Institute of Technology |
| ORCID | 0000-0002-0378-3608 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
What and How Should Urban Planners Learn in the AI Era? Exploring Urban AI Pedagogy from a Pilot Course in Urban Planning Education
Artificial intelligence (AI) promises to transform urban planning research, practice, and education, yet few curricula address “Urban AI.” This paper presents the pedagogical design of a pilot Urban AI course and argues for three meta learning goals: applying AI effectively and appropriately in urban challenges, addressing its social, environmental, and governance impacts, and developing normative judgments and professional identities around AI. …
Intercity connectivity and urban innovation
Impacts of Covid-19 on Biodiversity Conservation and Community Networks at Kibale National Park, Uganda
Conservation, like all aspects of society, was severely affected by the COVID-19 pandemic. Although there have been projections and speculations about impacts on conservation plans and actions, data about the extent of these impacts are sparse. We contribute evidence from a research field site in Kibale National Park, Uganda. Our analysis shows that many of the fears concerning the negative conservation impacts of COVID-19 were borne out. Long-te…
Jiawei Taohe Chengqi decoction inhibition of the notch signal pathway affects macrophage reprogramming to inhibit HSCs activation for the treatment of hepatic fibrosis
Lessons from a Human-in-the-Loop Machine Learning Approach for Identifying Vacant, Abandoned, and Deteriorated Properties in Savannah, Georgia
Addressing strategies for managing vacant, abandoned, and deteriorated (VAD) properties is important for maintaining healthy communities. Yet, the process of identifying these properties can be difficult. Here, we create a human-in-the-loop machine learning (HITLML) model called VADecide and apply it to a parcel-level case study in Savannah, Georgia. The results show a higher prediction accuracy than was achieved when using a machine learning mod…
Measuring McCities
Urban planners have a stake in preserving restaurants that are unique to local areas in order to cultivate a distinctive, authentic landscape. Yet, over time, chain restaurants (i.e. franchises) have largely replaced independently owned restaurants, creating a landscape of placelessness. In this research, we explored which (types of) locales have an independent food culture and which resemble McCities: foodscapes where the food offerings can be f…
Characteristics of Jetters and Little Boxes
Individuals connect to sets of places through travel, migration, telecommunications, and social interactions. This set of multiplex network connections comprises an individual’s “extensibility,” a human geography term that qualifies one’s geographic reach as locally‐focused or globally extensible. Here we ask: Are there clear signals of global vs. local extensibility? If so, what demographic and social life factors correlate with each type of pat…
Characteristics of Jetters and Little Boxes
Individuals connect to sets of places through travel, migration, telecommunications, and social interactions. This set of multiplex network connections comprises an individual’s “extensibility,” a human geography term that qualifies one’s geographic reach as locally‐focused or globally extensible. Here we ask: Are there clear signals of global vs. local extensibility? If so, what demographic and social life factors correlate with each type of pat…
Measuring McCities
Urban planners have a stake in preserving restaurants that are unique to local areas in order to cultivate a distinctive, authentic landscape. Yet, over time, chain restaurants (i.e. franchises) have largely replaced independently owned restaurants, creating a landscape of placelessness. In this research, we explored which (types of) locales have an independent food culture and which resemble McCities: foodscapes where the food offerings can be f…
Characteristics of Jetters and Little Boxes
Individuals connect to sets of places through travel, migration, telecommunications, and social interactions. This set of multiplex network connections comprises an individual’s “extensibility,” a human geography term that qualifies one’s geographic reach as locally‐focused or globally extensible. Here we ask: Are there clear signals of global vs. local extensibility? If so, what demographic and social life factors correlate with each type of pat…
Intercity connectivity and urban innovation
Impacts of Covid-19 on Biodiversity Conservation and Community Networks at Kibale National Park, Uganda
Conservation, like all aspects of society, was severely affected by the COVID-19 pandemic. Although there have been projections and speculations about impacts on conservation plans and actions, data about the extent of these impacts are sparse. We contribute evidence from a research field site in Kibale National Park, Uganda. Our analysis shows that many of the fears concerning the negative conservation impacts of COVID-19 were borne out. Long-te…
Jiawei Taohe Chengqi decoction inhibition of the notch signal pathway affects macrophage reprogramming to inhibit HSCs activation for the treatment of hepatic fibrosis
Lessons from a Human-in-the-Loop Machine Learning Approach for Identifying Vacant, Abandoned, and Deteriorated Properties in Savannah, Georgia
Addressing strategies for managing vacant, abandoned, and deteriorated (VAD) properties is important for maintaining healthy communities. Yet, the process of identifying these properties can be difficult. Here, we create a human-in-the-loop machine learning (HITLML) model called VADecide and apply it to a parcel-level case study in Savannah, Georgia. The results show a higher prediction accuracy than was achieved when using a machine learning mod…
What and How Should Urban Planners Learn in the AI Era? Exploring Urban AI Pedagogy from a Pilot Course in Urban Planning Education
Artificial intelligence (AI) promises to transform urban planning research, practice, and education, yet few curricula address “Urban AI.” This paper presents the pedagogical design of a pilot Urban AI course and argues for three meta learning goals: applying AI effectively and appropriately in urban challenges, addressing its social, environmental, and governance impacts, and developing normative judgments and professional identities around AI. …
Geography (5 works) · Sociology (4 works) · Population (3 works) · Archaeology (2 works) · Business (2 works) · Computer Science (2 works) · Demography (2 works) · Economic geography (2 works) · Economic growth (2 works) · Environmental planning (2 works)