Sungkyu Shaun Park

Sleep & Mental Health

[A framework paper] for tracking daily well-being using smartwatches published in IEEE Internet Computing, Aug 2020.  

[A sleep clustering paper] published in JMIR mHealth & uHealth (JMU), Dec 2019.  

[A sleep prediction work] presented at KDD'19 (poster session), Aug 2019.  
[Full paper] + [Promotional video clip] for KDD'19.  

[A paper about the effects of child maltreatment on sleep] published in a Korean psychiatric journal (생물치료정신의학), Jun 2022.
[An effectiveness verification paper] on the app Sleeps published in a Korean psychiatric journal (생물치료정신의학), Feb 2021.  

[Science Slam D] I gave a 10-min talk about sleep in Daejeon, Oct 2021 ➥ a news article (in Korean).  
[IBS Interview] My work has been introduced in an interview article at IBS, Mar 2021 (in Korean)!  
[Annual Report] The work has been honorably featured in The 2020 Annual Report of KAIST School of Computing, Feb 2021 (see p. 19, in Korean).  
[Newspaper Column] The work has been introduced in The Korea Economic Daily, Nov 2020.  
[Research Highlight] The work has been introduced in KAIST School of Computing, Oct 2020.  

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Online Fake News

[One extended abstract] titled "Do Differences in National or Political Identity Matter More for Preferences?" was presented at the poster session of IC2S2 2022 in Jul 2022.

[One paper] titled "An Experimental Study to Understand User Experience and Perception Bias Occurred by Fact-checking Messages" was presented at The Web Conference 2021 in Apr 2021.
[Related research] titled "The Presence of Unexpected Biases in Online Fact-checking" has been published in The Harvard Kennedy School (HKS) Misinformation Review in Jan 2021.

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Natural Language Processing (NLP)

A topic modeling paper "Contrastive Neural Topic Model Using Term Weighting" won the Outstanding Paper Award at the Conference of Korean Artificial Intelligence Association, 1 August 2022.  

[One paper] titled "COVID-19 Discourse on Twitter: Case Study of Risk Communication in Four Asian Countries" has been accepted at JMIR (Impact Factor = 5.03 [SCIE]), Mar 2021.  
➥ This paper has been featured on PreventionWeb, managed by the UN Office for Disaster Risk Reduction (UNDRR) in Sep 2021! - please see [here].

[A preprint] to explore COVID-19 tweet topics in 4 countries has been released at arXiv, Jun 2020.  
➥ [The same version] has been displayed in Europe PMC, March 2021.  
➥ [A related post] on Medium.  

[An in-depth report] on fake news and infodemic has been released in Donga Science, Dec 2020.  

[A short paper] on a Risk Communication Event Detection Model via contrastive learning has been presented at the 3rd Workshop on NLP for Internet Freedom in COLING 2020, Dec 2020.  

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Unsupervised Learning

[One paper] titled "Improving Unsupervised Image Clustering With Robust Learning" was presented at CVPR'21 in Jun 2021.

[One paper] titled "Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification" was presented at ECCV'20, Aug 2020.

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Culture & Fashion

[One paper] titled "Using Web Data to Reveal 22-Year History of Sneaker Designs" was presented at ACM The Web Conference (WWW) 2022, Apr 2022.
➥ This paper was one of the BEST PAPER CANDIDATES (top 3.41% of the accepted papers)!
➥ [Research Highlight] The work has been introduced in KAIST School of Computing, Aug 2022.

[Our artwork] titled "the sneakers universe" was accepted for the AI x ART contest exhibit held by National Science Museum, Dec 2021 ➥ please see an IBS News article (in Korean).

[One abstract] titled "The Shape of Design History: Exploring Evolution of Sneakers Design at Scale Using Neural Embedding" was presented at IC2S2'21, Jul 2021.
➥ If you interested in this abstract please check the presentation video [here].

[One paper] titled "Neural Embedding of Sneaker Designs over 23 Years" was presented at KCC'21 (Korea Computer Congress), Jun 2020.

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More & More

[An extended abstract] to prpose approaches to successful entry of the ride-sharing service for startups has been presented at CHI'17, May 2017.

More exciting projects will come out shortly! Please stay tuned :)

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