About

Hello! This is Jina Kim (김지나 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.

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[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).😀
[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!🎉
[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!🎉 Thanks to whom enjoyed my poster pitch and voted for my research.🤗 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.🤗

[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!🎉

[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.😀

[June 2022] I won the first place poster award at the UCGIS Symposium '22!🎉

[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!😊

[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.🎊

[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.🎉

[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.🤗

[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 Minnesota’s 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.🎉

[Dec. 2020] Successfully defended my Master's thesis! Thanks to everyone who has supported me throughout this journey.😀

Publications

[2023]

GeoAI for the Digitization of Historical Maps
Yao-Yi Chiang, Muhao Chen, Weiwei Duan, Jina Kim, Craig A. Knoblock, Stefan Leyk, Zekun Li, Yijun Lin, Min Namgung, Basel Shbita, Johannes H. Uhl (2023).
In Handbook of Geospatial Artificial Intelligence, pp. 217-247, Springer.

Towards Learning of Spatial Triad from Online Text
Jina Kim, Yao-Yi Chiang. (2023).
ACM SIGSPATIAL '23 Student Research Competition. First Place in the Graduate Category

An Automatic Approach to Finding Geographic Name Changes on Historical Maps
Rhett M Olson, Jina Kim, Yao-Yi Chiang. (2023).
ACM SIGSPATIAL '23 Student Research Competition. First Place in the Undergraduate Category

The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, Yao-Yi Chiang. (2023).
ACM SIGSPATIAL '23 Demo Paper.

Computational Approaches to Developing the Implicit Media Bias Dataset: Assessing Political Orientations of Nonpolitical News Article
Seungpeel Lee, Jina Kim, Dongjae Kim, Ki Joon Kim, Eunil Park. (2023).
Applied Mathematics and Computation, 458, 128219. (SCIE, JCR 2022 IF=4.000)

Can book covers help predict bestsellers using machine learning approaches?
Seungpeel Lee, Jina Kim, Eunil Park. (2023).
Telematics and Informatics, 78, 101948. (SSCI, JCR 2021 IF=9.140)

[2022]

SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
Zekun Li, Jina Kim, Yao-Yi Chiang, Muhao Chen. (2022).
EMNLP '22 Findings.

Behind the Scenes of K-pop Fandom: Unveiling K-pop Fandom Collaboration Network
Jiwon Kang, Jina Kim, Migyeong Yang, Eunil Park, Minsam Ko, Munyoung Lee, Jinyoung Han. (2022).
Quality & Quantity, 56, 1481–1502. (SSCI)

Classifying apartment defect repair tasks in South Korea: A machine learning approach
Eunhye Kim, Honggeun Ji, Jina Kim, Eunil Park. (2022).
Journal of Asian Architecture and Building Engineering, 21(6), 2503-2510. (A&HCI, SCIE, JCR 2020 IF=0.692)

Automated crack detection via semantic segmentation approaches using advanced U-Net architectures.
Honggeun Ji, Jina Kim, Syjung Hwang, Eunil Park. (2022).
Intelligent Automation & Soft Computing, 34(1), 593-607. (SCIE, JCR 2021 IF=3.401)

Understanding social resistance to determine the future of Internet of Things (IoT) services
Jina Kim, Eunil Park. (2022).
Behaviour & Information Technology, 41(3), 547-557. (SSCI, JCR 2020 IF=3.086)

Deep learning model based on expectation-confirmation theory to predict customer satisfaction in hospitality services
Soyoung Oh, Honggeun Ji, Jina Kim, Eunil Park, Angel P.del Pobil. (2022).
Information Technology & Tourism, 24, 109-126. (SSCI, JCR 2020 IF=2.449)

Integrating Deep Learning and Machine Translation for Understanding Unrefined Languages
Honggeun Ji, Soyoung Oh, Jina Kim, Seong Choi, Eunil Park. (2022).
Computers, Materials & Continua, 70(1), 669-678. (SCIE, JCR 2020 IF=3.772)

[2021]

Between Comments and Repeat Visit: Capturing Repeat Visitors with a Hybrid Approach
Jina Kim**, Yeonju Jang**, Kunwoo Bae, Soyoung Oh, Nam Jeong Jeong, Eunil Park, Jinyoung Han, Angel P.del Pobil. (2021).
Data Technologies and Applications, 55(4), 542-557. (SSCI, JCR 2020 IF=1.667)

What books will be your bestseller? A machine learning approach with Amazon Kindle
Seungpeel Lee, Honggeun Ji, Jina Kim*, Eunil Park. (2021).
The Electronic Library, 39(1), 137-151. (SSCI, JCR 2020 IF=1.453)

Machine Learning for Mental Health in Social Media: Bibliometric Study
Jina Kim, Daeun Lee, Eunil Park. (2021).
Journal of Medical Internet Research, 23(3), e24870. (SCIE, JCR 2020 IF=5.428)

A deep hybrid learning model for customer repurchase behavior
Jina Kim, Honggeun Ji, Soyoung Oh, Syjung Hwang, Eunil Park, Angel P.del Pobil. (2021).
Journal of Retailing and Consumer Services, 59, 102381. (SSCI, JCR 2020 IF=7.135)

[2020]

Who will be your next customer: A machine learning approach to customer return visits in airline services
Syjung Hwang, Jina Kim, Eunil Park, Sang Jib Kwon. (2020).
Journal of Business Research, 121, 121-126. (SSCI, JCR 2020 IF=7.550)

A deep learning model for detecting mental illness from user content on social media
Jina Kim, Jieon Lee, Eunil Park, Jinyoung Han. (2020).
Scientific Reports, 10, 11846. (SCIE, JCR 2020 IF=4.379) [Dataset]

Can AI be a content generator? Effects of content generators and information delivery methods on the psychology of content consumers
Jina Kim, Soyeon Shin, Kunwoo Bae, Soyoung Oh, Eunil Park, Angel P.del Pobil. (2020).
Telematics and Informatics, 55, 101452. (SSCI, JCR 2020 IF=6.182)

Cross-cultural comparison of interactive streaming services: Evidence from Twitch
Soyoung Oh, Jina Kim, Honggeun Ji, Eunil Park, Jinyoung Han, Minsam Ko, Munyoung Lee. (2020).
Telematics and Informatics, 55, 101434. (SSCI, JCR 2020 IF=6.182)

[2019]

Who will Subscribe to My Streaming Channel?: The Case of Twitch
Jina Kim, Kunwoo Bae, Eunil Park, Angel P.del Pobil. (2019).
CSCW 2019 Extended Abstracts.

Determinants of customer satisfaction with airline services: An analysis of customer feedback big data
Eunil Park, Yeonju Jang, Jina Kim, Nam Jeong Jeong, Kunwoo Bae, Angel P.del Pobil. (2019).
Journal of Retailing and Consumer Services, 51, 186-190. (SSCI, JCR 2019 IF=4.219)

Beyond coolness: Predicting the technology adoption of interactive wearable devices
Jina Kim, Eunil Park. (2019).
Journal of Retailing and Consumer Services, 49, 114-119. (SSCI, JCR 2019 IF=4.219)

* = co-corresponding author, ** = equal contribution

Fun Projects

Drone Live Video Streaming Solution using Raspberry PI
HIFLY Team Project [Video]

We implemented a streaming system which can forward live video stream to multiple users from a Phantom4, a drone made by DJI. Also, we constructed the streaming server on Raspberry Pi 3 board for high mobility. The video stream can be played on any devices if the HTML5 standard web browser is utilized.

Education

Visiting Scholar in Language Technologies Institute, Jan. to Jul. 2020
Carnegie Mellon University

Pittsburgh, USA

M.Sc. in Interaction Science, Feb. 2021
Sungkyunkwan University

Seoul, Republic of Korea

B.S. in Computer Engineering, Feb. 2019
Hansung University

Seoul, Republic of Korea

Work Experience

Applied Scientist Intern @ Amazon, Jun. to Aug. 2024

Seattle, USA

AI Scientist Intern @ Raon Data, Mar. to Jun. 2021

Seoul, Republic of Korea

Undergraduate Intern @ Electronics and Telecommunications Research Institute (ETRI), Jun. to Aug. 2018

Daejeon, Republic of Korea