Assistant Professor
Department of Communication, UCLA
jjoo at comm.ucla.edu 

Positions

Education

• PhD, Computer Science, UCLA, 2015
• MS, Computer Science, Columbia University, 2010
• BS, Computer Science and Engineering, Seoul National University, 2008

Publications

• Automatically Detecting Image-Text Mismatch on Instagram with Deep Learning
  Yui Ha, Kunwoo Park, Su Jung Kim, Jungseock Joo, Meeyoung Cha
  Journal of Advertising. Accepted
  
  
• Cross-domain Classification of Facial Appearance of Leaders
  Jeewoo Yoon, Jungseock Joo, Eunil Park and Jinyoung Han
  International Conference on Social Informatics. 2020
  
  
• Communicating Artificial Intelligence (AI): Theory, Research, and Practice
  Seungahn Nah, Jasmine McNealy, Jang Hyun Kim, Jungseock Joo
  Communication Studies. 2020
  
  
• News and Geolocated Social Media Accurately Measure Protest Size Variation
  Anton Sobolev, Keith Chen, Jungseock Joo, and Zachary C. Steinert-Threlkeld
  American Political Science Review. 2020
  
  
• Understanding the Political Ideology of Legislators from Social Media Images   [pdf]
• Nan Xi, Di Ma, Marcus Liou, Zachary C. Steinert-Threlkeld, Jason Anastasopoulos, and Jungseock Joo
  
• The International AAAI Conference on Web and Social Media (ICWSM), 2020. 
  
  
• FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age   [pdf]  [code/data]
• Kimmo Kärkkäinen, Jungseock Joo
  
• arXiv, 2019
  
• 
  
• Automated Coding of Televised Leader Displays: Detecting Nonverbal Political Behavior With Computer Vision and Deep Learning
• Jungseock Joo, Erik Bucy, and Claudia Seidel
  
• International Journal of Communication. 2019.
  
  
• Characterizing Clickbaits on Instagram   [pdf]
  
• Yu-I Ha, Jeongmin Kim, Donghyeon Wonn, Meeyoung Cha, and Jungseock Joo
  
• The International AAAI Conference on Web and Social Media (ICWSM), 2018. 
  
  
• Toward an Infrastructure for Data-driven Multimodal Communication Research    [pdf]
  Francis F Steen, Anders Hougaard, Jungseock Joo, Inés Olza, Cristóbal Pagán Cánovas, Anna Pleshakova, Soumya Ray, Peter Uhrig, Javier Valenzuela, Jacek Woźny, Mark Turner
  Linguistics Vanguard, 2018. 
  
  
• Red Hen Lab: Dataset and Tools for Multimodal Human Communication Research   [pdf]
  Jungseock Joo, Francis F. Steen, and Mark Turner
  KI-Künstliche Intelligenz, 2018. 
  
  
• Protest Activity Detection and Perceived Violence Estimation from Social Media Images    [pdf]  [code]
  Donghyeon Won, Zachary C. Steinert-Threlkeld, and Jungseock Joo
  Proceedings of the ACM International Conference on Multimedia (ACM MM), 2017. 
  
  
• Cultural Diffusion and Trends in Facebook Photographs    [pdf]  [slides]
  Quanzeng You, Darío García-García, Manohar Paluri, Jiebo Luo, and Jungseock Joo
  The International AAAI Conference on Web and Social Media (ICWSM), 2017.
  
  
• Predicting Popular and Viral Image Cascades in Pinterest    [pdf]
  Jinyoung Han, Daejin Choi, Jungseock Joo, and Chen-Nee Chuah
  The International AAAI Conference on Web and Social Media (ICWSM), 2017.
  
  
• Fashion Conversation Data on Instagram  [pdf]
  
• Yu-I Ha, Sejeong Kwon, Meeyoung Cha, and Jungseock Joo
  
• The International AAAI Conference on Web and Social Media (ICWSM), 2017.
  
  
• Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph  [pdf]
Weixin Li, Jungseock Joo, Hang Qi, and Song-Chun Zhu 
IEEE Transactions on Multimedia, 2017. 


• Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face [pdf]
  Jungseock Joo, Francis F. Steen, and Song-Chun Zhu
  Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015.


• Coiling of Elastic Rods on Rigid Substrates [pdf] [html]
  Mohammad K Jawed, Fang Da, Jungseock Joo, Eitan Grinspun, and Pedro M Reis
  Proceedings of the National Academy of Sciences of the USA (PNAS), 111:41, 14663-14668, 2014.
  


• Visual Persuasion: Inferring Communicative Intents of Images [pdf] [project]
  Jungseock Joo, Weixin Li, Francis F. Steen, and Song-Chun Zhu
  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  - MEDIA - Is a Picture Worth 1,000 Polls? by Virginia Postrel. Bloomberg View. June 25, 2014.


• Human Attribute Recognition by Rich Appearance Dictionary [pdf]
  Jungseock Joo, Shuo Wang, and Song-Chun Zhu
  Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013.


• Weakly Supervised Learning for Attribute Localization in Outdoor Scenes [pdf]
  Shuo Wang, Jungseock Joo, Yizhou Wang, and Song-Chun Zhu
  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.


• Hierarchical Organization by And-Or Tree [pdf]
  Jungseock Joo, Shuo Wang, and Song-Chun Zhu
  Book chapter in Handbook of Perceptual Organization, eds.J. Wagemans, Springer, 2012

• UCLA CommSt 155: Artificial Intelligence and New Media. 2017 -
• UCLA CommSt 158: Revolutions in Communication Technology. 2015 -