Hello! This is Jina Kim (κΉμ§λ in Korean). I am a PhD student in the Computer Science & Engineering Department at the University of Minnesota and a member of Knowledge Computing Lab, advised by Prof. Yao-Yi Chiang.
My research interests lie in spatial artificial intelligence and multimodal learning.
I mainly focus on developing techniques to automatically extract meaningful information from large-scale, multimodal spatial data.
Heterogeneous spatial data includes overhead images, trajectories, and documents such as scanned images (e.g., scanned maps) or natural language documents containing valuable geographic information.
I am also interested in validating technologies beyond accuracy by using social science methodologies.
For more information about my research experience, please refer to my Curriculum Vitae (PDF).
I obtained my Master's degree in Interaction Science from Sungkyunkwan University under Prof. Eunil Park's supervision where I found my passion in conducting interdisciplinary research to solve real-world problems.
During my Master's, I have completed the Intensive Artificial Intelligence Program offered by the Language Technologies Institute at Carnegie Mellon University.
Before that I received my Bachelor's degree in Computer Engineering from Hansung University.
About
News click here to view more/less π
- [Oct. 2024] At ACM SIGSPATIAL 2024, I presented our paper, "Context-Aware Trajectory Anomaly Detection," as the second author at the 1st GeoAnomalies workshop! I had the great pleasure of co-organizing a DEI networking event, serving as a judge for the Student Research Competition, and leading a book giveaway event.π
- [July 2024] I won the Best Overall Map at the 2024 U-Spatial Mapping Prize! Check out our award-winning map, "City Harmony: Exploring Shared Urban Characteristics."
- [June 2024] I am very excited to join the Video Intelligence Platform team at Amazon as an Applied Scientist Intern this summer! I will contribute to developing multimodal models on video understanding.
- [Mar. 2024] I will serve as one of the very first members of the ACM SIGSPATIAL's Diversity, Equity, and Inclusion (DEI).π
- [Nov. 2023] I won the first place in the Student Research Competition at the ACM SIGSPATIAL '23, with my research titled "Towards Learning of Spatial Triad from Online Text." My undergraduate intern, Rhett Olson, also won the first place in the undergraduate track!π
- [Nov. 2023] I will attend the ACM SIGSPATIAL '23 for participating the Student Research Competition, presenting the mapKurator system, and organizing SpatialW networking event!
- [Aug. 2023] I attended DARPA CriticalMAAS project kick-off meeting held in the National Conservation Training Center. I am super excited to contribute to representation learning techniques capturing spatial characteristics!
- [Apr. 2023] My poster on meaningful representations from multimodal spatial data won first place for the best poster award at SIAM SDM '23!π Thanks to whom enjoyed my poster pitch and voted for my research.π€ Link to the poster.
- [Apr. 2023] SIAM SDM '23 is approaching! I will co-organize the networking session for the underrepresented groups and moderate a panel at the doctoral forum.
- [Apr. 2023] I presented our mapKurator pipeline at the David Rumsey Map Center in Stanford. Link to the recordings.
- [Mar. 2023] I will co-organize a session and have presentations in the GeoAI and Deep Learning Symposium at 2023 AAG Annual Meeting! Check out details via the program file.
- [Nov. 2022] SpatialW official website is released! We have several Board of Directors positions available. Please check out the details via the website.π€
- [Oct. 2022] I am excited to co-organize the first networking event for female graduate students at SIGSPATIAL '22! Please fill out the survey form if you're interested in!
- [Oct. 2022] Our spatial language model SpaBERT paper was accepted to EMNLP '22 findings!π
- [Oct. 2022] I won the travel grant from SIGSPATIAL '22. I look forward to meeting you all in-person in Seattle in November!
- [Sep. 2022] I presented our mapKurator pipeline and results of Sanborn fire insurance maps at the Library of Congress.π
- [June 2022] I won the first place poster award at the UCGIS Symposium '22!π
- [May 2022] I am super excited to co-organize "Reading and Linking Place: Text on Historical Maps" workshop at the UCGIS Symposium '22. I will also be presenting the poster in-person!π
- [Apr. 2022] Our two extended abstracts were accepted to Spatial Humanities '22. The link to the papers will be released soon!
- [Mar. 2022] Machines Reading Maps has started a new collaboration with the David Rumsey Map Collection.π
- [Nov. 2021] I received the 2nd prize in the High-Potential Individuals Global Training Program Achievement Award from the Ministry of Science and ICT, Korea.π
- [Nov. 2021] I will serve as a student volunteer at the SIGSPATIAL '21!
- [Aug. 2021] I am thrilled to join Machines Reading Maps project! I look forward to contributing my skills and collaborating with amazing team members.π€
- [Jun. 2021] Our dx-SKKU&Raon team won a second prize in Fake-EmoReact challenge hosted by SocialNLP @ NAACL '21!
- [Mar. 2021] I decided to pursue my doctoral study at the University of Minnesotaβs CS&E!
- [Feb. 2021] Bibliometric analysis paper on mental health and machine learning in social media was accepted in Journal of Medical Internet Research!
- [Feb. 2021] Our paper on capturing customers' repeat visits through hybrid approaches was finally accepted in Data Technologies and Applications!
- [Jan. 2021] Honored to attend the Global Young Scientists Summit (GYSS) 2021! Thank you NRF of Korea for the nomination.
- [Jan. 2021] Our paper on book recommendation was accepted in the Electronic Library.π
- [Dec. 2020] Successfully defended my Master's thesis! Thanks to everyone who has supported me throughout this journey.π