New Publication on Vision Language Multi-modal Learning : IM2City: image geo-localization via multi-modal learning
Sep 21, 2022
Wu, M. and Huang, Q., 2022, November. IM2City: image geo-localization via multi-modal learning. In Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (pp. 50-61). Download
New Publication on Scientific Report: Graph Neural Networks for Individual Travel Activity Inference
Sep 21, 2022
Liu X., Wu M., Peng B., and Huang Q., 2022. Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data. Scientific Report. DOI : 10.1038/s41598-022-19441-9. Download
Students’ Milestone: Vicky (Senior) and Boyuan (Junior) got their first lead-author paper accepted
April 4, 2022
Vicky: Tianhui (Vicky) Cai, Hongyu Gan, Bo Peng, Qunying Huang, Zhiqiang Zou, 2022. Real-time Classification of Disaster Images from Social Media with a Self-supervised Learning Framework. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 17 – 22 July, 2022, Kuala Lumpur, Malaysia. Accepted
Boyuan: Boyuan Zou, Bo Peng, Qunying Huang, 2022. Flood Depth Assessment with Location-Based Social Networks Data and Google Street View — a Case Study with Buildings as Reference Objects. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 17 – 22 July, 2022, Kuala Lumpur, Malaysia. Accepted
Congrats, Vicky and Boyuan!
New Grant from USDA: Developing an integrated deep learning model framework for county-level crop yield prediction
March 18, 2022
Collaborating with Drs. Zhou Zhang (UW-Madison, PI) and Zhengwei Yang (USDA NASS, Co-PI), Dr. Huang (Co-PI) recently received funding for a project titled “DSFAS-AI: Developing an integrated deep learning model framework for county-level crop yield prediction in support of USDA NASS operation” through NIFA AFRI’s Data Science for Food and Agricultural Systems program. It was among 13 projects selected to share $7 million in funding.
Student’s Achievement: Meiliu (1st year Ph.D) won John Odland student paper competition, SAM, AAG
Feb 26, 2022
Congratulations to Meiliu, who won the second place of the John Odland student paper competition, hosted by the Spatial Analysis and Modeling specialty group of the AAG annual meeting.
In Nov, 2021, Meiliu also won the second place of the CPGIS Student Paper Competition, on the 28th International Conference on Geoinformatics.
Meanwhile, Meiliu had her first lead-author paper published this Jan.
Wu, M. and Huang, Q., 2022. Human movement patterns of different racial-ethnic and economic groups in US top 50 populated cities: What can social media tell us about isolation?. Annals of GIS, pp.1-23. DOI: 10.1080/19475683.2022.2026471. Download
Keep it up, Meiliu!
Student’s Milestone: Bo Peng successfully defended his Ph.D dissertation!
Dec 10, 2021
Big congratulations to Bo who successfully defended his dissertation, titled “Geography Informed Machine Learning for Remote Sensing of Disasters: A Case Study of Floods”. Next, Bo will start a new chapter of his career at the PAII Inc as a Senior Research Scientist in CA, continuing the work of leveraging GeoAI, Computer Vision and Remote Sensing for Social Goods! Well done, Dr. Peng!
New Publication on IJDE: Situational awareness information extraction with Geographic context-aware text mining
August 31, 2021
Reference: Scheele C., Yu M. and Huang Q., 2021. Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features. International Journal of Digital Earth, pp.1-23. DOI: https://doi.org/10.1080/17538947.2021.1968048. Download
Hiring: 3~4 student hourly positions for remote sensing data annotation and processing
Feb 12, 2021
We are seeking several hourly students to help annotate (label) a set of satellite imagery for the research of AI for Earth Observation. The responsibilities will include interacting with researchers to understand the labels, learning the use of the labeling platform, and labeling satellite images at the pixel level.
New Publication on J-STARS: Real-time urban flood mapping with self-supervised learning framework
Feb 2, 2021
- Peng B., Huang Q., Vongkusolkit J., Gao S., Wright D., Fang Z. and Qiang Y., 2021. Urban Flood Mapping with Bi-temporal Multispectral Imagery via a Self-supervised Learning Framework. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 14: 2001-2016. doi: 10.1109/JSTARS.2020.3047677.
Altas’s work was featured in multiple news
Nov 9, 2020
A geographic shift: Majority of Dane County COVID-19 cases now outside Madison…. Source >>
‘Improve their awareness of danger’: UW-Madison Ph.D. student creates COVID-19 data dashboard……Source >>
COVID-19 Data Dashboard
Oct 22, 2020
Oct 22, 2020
Review paper on situational awareness extraction during natural hazards through social media accepted in Annals of GIS 2020
(2020) Situational awareness extraction: a comprehensive review of social media data classification during natural hazards, Annals of GIS,
August 25, 2020
IJGI Special Issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics”
We are inviting submissions to a new special issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics” by the ISPRS International Journal of Geo-Information. Articles being submitted should involve advancement to theories and methods and/or applications integrating spatial and temporal datasets at varying scales for crisis informatics. The articles should leverage existing theories and/or develop new theories of scaling and spatiotemporal modeling while taking advantage of big data theories and technologies to aid with crisis/disaster preparedness, mitigation, recovery, and resilience.
This Special Issue is scheduled to be published by 30 April 2021. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website.
August 25, 2020
IEEE ICMLA 2020 Special Session on AI with Geographic Information Systems for Social Good
The purpose of the IEEE ICMLA 2020 workshop on AI with Geographic Information Systems for Social Good is to disseminate the research focusing on social problems for which the synthesis of AI and GIS has the potential to offer innovative solutions. This workshop aims to bring together researchers and practitioners across AI, GIS, and a range of application domains on the frontiers of frameworks, theories, and methods.
The workshop will take place on December 14-17, 2020, in Miami, Florida, USA.