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Younghoon Kim

Associate ProfessorDept. of Artificial IntelligenceHanyang University ERICA 
[Address]55 Hanyangdaehak-ro, Sangnok-gu,Ansan, Gyonggi, Korea
[E-mail]nongaussian@hanyang.ac.kr

Research Group [연구실]

Big Data Mining Lab. [Home page]

Introduction

Currently, I am an associate professor with Hanyang University ERICA, Korea. I received a Ph.D from Seoul National University in 2013 under the supervision of Professor Kyuseok Shim, and a B.S. degree in Computer Science & Engineering from Seoul National University in 2006. I am working in the area of deep neural network optimization, query optimization in Database, big data mining focusing on social network services.

PUBLICATION

International Conference

Testing the Channels of Convolutional Neural Networks (AAAI 2023): Kang Choi, Donghyun Son, Younghoon Kim, Jiwon Seo

Optimizing Deep Neural Network Quantizations for Noisy Environment (CC 2020): Youngseok Kim, Junyeol Lee, Younghoon Kim, Jiwon Seo

Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion (EDBT 2019): Woohwan Jung, Younghoon Kim, Kyuseok Shim

Interactive Sleep Stage Labelling Tool For Diagnosing Sleep Disorder Using Deep Learning (EMBC 2018): Woonghee Lee, Younghoon Kim

Classification of Heart Diseases Based On ECG Signals Using Long Short-Term Memory (EMBC 2018): Ming Liu, Younghoon Kim

ActiveMotif: Interactive motif discovery with human feedback (EMBC 2017): Younghoon Kim, Woonghee Lee, Keonwoo Kim

ViewMap: Sharing Private In-Vehicle Dashcam Videos (USENIX NSDI 2017): Minho Kim, Jaemin Lim, Hyunwoo Yu, Kiyeon Kim, Younghoon Kim, Suk-Bok Lee

Parallel Computation of k-Nearest Neighbor Joins Using MapReduce (IEEE International Conference on Big Data 2016): Wooyeol Kim, Younghoon Kim, and Kyuseok Shim

TOPTRAC: Topical Trajectory Pattern Mining (KDD 2015): Younghoon Kim, Jiawei Han, Canzhou Yuan

Latent Ranking Analysis using Pairwise Comparisons (ICDM 2014): Younghoon Kim, Wooyeol Kim, Kyuseok Shim

Efficient top-k algorithms for approximate substring matching (SIGMOD  2013): Younghoon Kim, Kyuseok Shim

DIGTOBI: a recommendation system for Digg articles using probabilistic modeling (WWW 2013): Younghoon Kim, Yoonjae Park, Kyuseok Shim

Parallel Top-K Similarity Join Algorithms Using MapReduce (ICDE 2012): Younghoon Kim, Kyuseok Shim

HotDigg: Finding Recent Hot Topics from Digg (DASFAA 2012): Younghoon Kim, Kyuseok Shim

TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling (ICDM 2011): Younghoon Kim, Kyuseok Shim

Efficient processing of substring match queries with inverted q-gram indexes (ICDE 2010): Younghoon Kim, Kyoung-Gu Woo, Hyoungmin Park, Kyuseok Shim

International Journal

Adversarial Attacks on Medical Segmentation Model via Transformation of Feature Statistics, Applied Sciences (2024), Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim 

Enhancing CT Segmentation Security against Adversarial Attack: Most Activated Filter Approach, Applied Sciences (2024), Woonghee Lee and Younghoon Kim 

Pixel Diffuser: Practical Interactive Medical Image Segmentation without Ground Truth,  Bioengineering (2023), Mingeon Ju, Jaewoo Yang, Jaeyoung Lee, Moonhyun Lee, Junyung Ji and Younghoon Kim 

MT-VTON: Multilevel Transformation-Based Virtual Try-On for Enhancing Realism of Clothing, Applied Sciences (2023), Jaeyoung Lee, Moonhyun Lee and Younghoon Kim

Automated Clinical Impression Generation for Medical Signal Data Searches, Applied Sciences (2023), Woonghee Lee, Jaewoo Yang, Doyeong Park and Younghoon Kim 

Model Interpretation Considering Both Time and Frequency Axes Given Time Series Data, Applied Sciences (2022), Woonghee Lee, Gayeon Kim, Jeonghyeon Yu and Younghoon Kim 

All You Need Is a Few Dots to Label CT Images For Organ Segmentation, Applied Sciences (2022), Mingeon Ju, Moonhyun Lee, Jaeyoung Lee, Jaewoo Yang, Seunghan Yoon, Younghoon Kim 

Contextual Imputation With Missing Sequence of EEG Signals Using Generative Adversarial Networks, IEEE Access (2021), Woonghee Lee, Jaeyoung Lee, Younghoon Kim

Detection of Rapidly Spreading Hashtags via Social Networks, IEEE Access (2020), Younghoon Kim, Jiwon Seo

Forecasting Solar Power Using Long-Short Term Memory and Convolutional Neural Networks , IEEE Access 6: 73068-73080 (2018), Woonghee Lee, Keonwoo Kim, Junsep Park, Jinhee Kim, Younghoon Kim

Latent ranking analysis using pairwise comparisons in crowdsourcing platforms, Inf. Syst. 65: 7-21 (2017), Younghoon Kim, Wooyeol Kim, Kyuseok Shim

Integration of graphs from different data sources using crowdsourcing, Journal of Information Sciences, 385: 438-456 (2017), Younghoon Kim, Woohwan Jung, Kyuseok Shim

DBCURE-MR: An efficient density-based clustering algorithm for large data using MapReduce, Inf. Syst. 42: 15-35 (2014), Younghoon Kim, Kyuseok Shim, Min-Soeng Kim, June Sup Lee

TWILITE: A recommendation system for Twitter using a probabilistic model based on latent Dirichlet allocation, Inf. Syst. 42: 59-77 (2014), Younghoon Kim, Kyuseok Shim

Efficient processing of substring match queries with inverted variable-length gram indexes, Inf. Sci. 244: 119-141 (2013), Younghoon Kim, Hyoungmin Park, Kyuseok Shim, Kyoung-Gu Woo

EDUCATION & RESEARCH EXPERIENCE

UNIV. OF ILLINOIS AT URBANA-CHAMPAIGN (UIUC), Illinois, US

Postdoctoral researcher, Feb. 2014 ~ Aug. 2014

SEOUL NATIONAL UNIV., Seoul, Korea

Postdoctoral researcher, Mar. 2013 ~ Jan. 2014

SEOUL NATIONAL UNIV., Seoul, Korea

Ph.D. in Electrical Engineering and Computer Science

Dissertation: “Similarity Query Processing Techniques for Text Data”

Mar. 2007 ~ Feb. 2013

SEOUL NATIONAL UNIV., Seoul, Korea

Bachelor of Science in Computer Science & Engineering

Mar. 1998 ~ Feb. 2006

INDUSTRIAL EXPERIENCE

Daum Communication, Inc.

Seoul, Korea — 2006

Softwise, Inc.

Seoul, Korea — 2001-2004