About
I am an assistant professor at AIGS, UNIST. I strive to derive human-like machine intelligence from interactive and autonomous learning experiences. I focus on exploiting/uncovering the merits of Bayesian learning that provides principled way of allowing machine intelligence to adapt and generalize to unseen data/environments in conjunction with the deep learning models and frameworks.
If you are interested in working with me, send me an email or visit the lab page.
2021 - 2023 Postdoctoral Researcher at RIKEN, AIP: Team [approximate Bayesian inference (ABI)]((https://team-approx-bayes.github.io/)
2020 - 2021 Researcher at Microsoft Research Cambridge
2019 Research Intern at Microsoft Research Cambridge
2017 Research Intern at Max Planck Institute for Software Systems
Recent Publications
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zhang and Miltiadis Allamanis. "CoRGi: Content-Rich Graph Neural Networks with Attention", International Conference on Knowledge Discovery and Data Mining (KDD), 2022
Jooyeon Kim and Alice Oh. "Emergent Communication under Varying Sizes and Connectivities", Advances in Neural Information Processing Systems (NeurIPS), 2021
Sungjoon Park, Yeon Seonwoo, Jiseon Kim, Jooyeon Kim and Alice Oh. "Denoising Recurrent Neural Networks for Classifying Crash-Related Events", Transactions on Intelligent Transportation Systems (T-ITS), 2019
Jooyeon Kim, Dongkwan Kim, and Alice Oh. "Homogeneity-Based Transmissive Process To Model True and False News in Social Networks", International Conference on Web Search and Data Mining (WSDM), 2019
Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schoelkopf and Manuel Gomez-Rodriguez. "Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation", International Conference on Web Search and Data Mining (WSDM), 2018
Jooyeon Kim, Dongwoo Kim and Alice Oh. "Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora", Transactions of the Association for Computational Linguistics (TACL), 2017
Jooyeon Kim, Brian Keegan, Sungjoon Park and Alice Oh. "The Proficiency-Congruency Dilemma: Virtual Team Design and Performance in Multiplayer Online Games", International Conference on Human Factors in Computing Systems (CHI), 2016
Jooyeon Kim, Joon Hee Kim, Dongwoo Kim and Alice Oh. "Diversity-Seeking Users and Their Influence on Social News Sites", KDD Workshop on Data Science for News Publishing (NewsKDD), 2014
Education
- Ph.D., School of Computing, KAIST, 2020
- M.S., School of Computing, KAIST, 2016
- B.E., Department of Systems Innovation, The University of Tokyo, 2014