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Jong‐Seok Lee

Korea Advanced Institute of Science and Technology · 医学

研究室紹介

Professor Jong-Seok Lee's research lab specializes in data-driven modeling and machine learning applications across diverse domains, including environmental hydraulics, biomedical informatics, recommender systems, and clinical decision support. The lab focuses on developing robust algorithms for imbalanced data classification, detecting adversarial attacks in recommendation systems, and improving predictive models in healthcare through advanced statistical and machine learning techniques. Recent work emphasizes real-world applicability, such as optimizing drug response prediction in oncology and enhancing audio-visual speech recognition under noisy conditions.

machine learningimbalanced datarecommender systemshealthcare predictionhydraulic modeling

Research Overview

Papers
401
Total Citations
17,650
Papers (5y)
71
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
71total
2021
2022
2023
2024
2025
Citations per year (5y)
5,290total
20212022202320242025

Selected Papers

15
1
Article|135 citations·2006
Downstream Hydraulic Geometry of Alluvial Channels
Jong‐Seok Lee, Pierre Y. Juliën
SJR Q2Journal of Hydraulic Engineering

This study extends the earlier contribution of Julien and Wargadalam in 1995. A larger database for the downstream hydraulic geometry of alluvial channels is examined through a nonlinear regression analysis. The database consists of a total of 1,485 measurements, 1,125 of which describe field data used for model calibration. The remaining 360 field and laboratory measurements are used for validation. The data used for validation include sand-bed, gravel-bed, and cobble-bed streams with meanderin

EcologyEnvironmental Science
2
Article|98 citations·2011
Shilling Attack Detection—A New Approach for a Trustworthy Recommender System
Jong‐Seok Lee, Dan Zhu
SJR Q1INFORMS journal on computing

Recommender systems rely on the opinions of many users to predict the preferences of potential customers. These systems have been broadly used to make quality recommendations to increase sales. However, recommender systems are vulnerable to even small data inputs of malicious information. Inappropriate products can be offered to users by injecting a few unscrupulous “shilling” profiles into the recommender system. This research proposes to identify a cluster of profiles by focusing on “filler” r

Information SystemsComputer Science
3
Article|98 citations·2025
Datopotamab Deruxtecan in Advanced or Metastatic Non–Small Cell Lung Cancer With Actionable Genomic Alterations: Results From the Phase II TROPION-Lung05 Study
Jacob Sands, Myung‐Ju Ahn, Aaron Lisberg, Byoung Chul Cho, George Blumenschein, Elaine Shum, Elvire Pons‐Tostivint, Yasushi Goto, Kiyotaka Yoh, Rebecca S. Heist, Junichi Shimizu, Jong Seok Lee
SJR Q1Journal of Clinical OncologyOA

PURPOSE Datopotamab deruxtecan (Dato-DXd) is a trophoblast cell-surface antigen-2–directed antibody-drug conjugate with a highly potent topoisomerase I inhibitor payload. The TROPION-Lung05 phase II trial (ClinicalTrials.gov identifier: NCT04484142 ) evaluated the safety and clinical activity of Dato-DXd in patients with advanced/metastatic non–small cell lung cancer (NSCLC) with actionable genomic alterations progressing on or after targeted therapy and platinum-based chemotherapy. PATIENTS AND

OncologyMedicine
4
Article|77 citations·2013
Performance of the Geriatric Nutritional Risk Index in predicting 28-day hospital mortality in older adult patients with sepsis
Jong Seok Lee, Han Sung Choi, Young Gwan Ko, Dong Hwan Yun
SJR Q1Clinical Nutrition
PhysiologyMedicine
5
Article|70 citations·2014
Robust outlier detection using the instability factor
Jihyun Ha, Seulgi Seok, Jong‐Seok Lee
SJR Q1Knowledge-Based Systems
Artificial IntelligenceComputer Science
6
Article|63 citations·2019
AUC4.5: AUC-Based C4.5 Decision Tree Algorithm for Imbalanced Data Classification
Jong‐Seok Lee
SJR Q1IEEE AccessOA

This paper presents a modification of Quinlan’s C4.5 algorithm for imbalanced data classification. While the C4.5 algorithm uses the difference in information entropy to determine the goodness of a split, the proposed method, which is named AUC4.5, examines the difference in the area under the ROC curve (AUC) of a split. It implies that our method attempts to maximize the AUC value of a trained decision tree in order to cope with class imbalance in data. An extensive experimental study was perfo

Artificial IntelligenceComputer Science
7
Article|60 citations·2008
Robust Audio-Visual Speech Recognition Based on Late Integration
Jong Seok Lee, Cheol Hoon Park
SJR Q1IEEE Transactions on Multimedia

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Audio-visual speech recognition (AVSR) using acoustic and visual signals of speech has received attention because of its robustness in noisy environments. In this paper, we present a late integration scheme-based AVSR system whose robustness under various noise conditions is improved by enhancing the performance of the three parts composing the system. First, we improve the performance of the visual

Signal ProcessingComputer Science
8
Article|58 citations·2015
A precise ranking method for outlier detection
Jihyun Ha, Seulgi Seok, Jong‐Seok Lee
SJR Q1Information Sciences
Artificial IntelligenceComputer Science
9
Article|54 citations·2016
Validation of the Martin Method for Estimating Low-Density Lipoprotein Cholesterol Levels in Korean Adults: Findings from the Korea National Health and Nutrition Examination Survey, 2009-2011
Jong Seok Lee, Sungok Jang, Hee Jeong Son
SJR Q1PLoS ONEOA

Despite the importance of accurate assessment for low-density lipoprotein cholesterol (LDL-C), the Friedewald formula has primarily been used as a cost-effective method to estimate LDL-C when triglycerides are less than 400 mg/dL. In a recent study, an alternative to the formula was proposed to improve estimation of LDL-C. We evaluated the performance of the novel method versus the Friedewald formula using a sample of 5,642 Korean adults with LDL-C measured by an enzymatic homogeneous assay (LDL

SurgeryMedicine
10
Article|52 citations·2008
Two-way cooperative prediction for collaborative filtering recommendations
Jong‐Seok Lee, Sigurður Ólafsson
SJR Q1Expert Systems with Applications
Information SystemsComputer Science
11
Article|47 citations·2014
Antiviral activity of ginseng extract against respiratory syncytial virus infection
Jong Seok Lee, Eunju Ko, Hye Suk Hwang, Yuna Lee, Young-Man Kwon, Min‐Chul Kim, Sang‐Moo Kang
SJR Q1International Journal of Molecular MedicineOA

Panax ginseng has been known to have a number of immuno-modulatory effects. In this study, we investigated whether Panax Korean red ginseng extract (KRGE) has in vitro and in vivo antiviral effects on respiratory syncytial virus (RSV) infection. KRGE improved the survival of human lung epithelial cells against RSV infection and inhibited RSV replication. In addition, KRGE treatment suppressed the expression of RSV-induced inflammatory cytokine genes (IL-6 and IL-8) and the formation of reactive

EpidemiologyMedicine
12
Article|45 citations·2002
Isoflurane Depresses Baroreflex Control of Heart Rate in Decerebrate Rats
Jong Seok Lee, Don R. Morrow, Michael Andresen, Kyoung S. K. Chang
SJR Q1AnesthesiologyOA

BACKGROUND: Isoflurane inhibits baroreflex control of heart rate (HR) by poorly understood mechanisms. The authors examined whether suprapontine central nervous system cardiovascular regulatory sites are required for anesthetic depression. METHODS: The effects of isoflurane (1 and 2 rat minimum alveolar concentration [MAC]) on the baroreflex control of HR were determined in sham intact and midcollicular-transected decerebrate rats. Intravenous phenylephrine (0.2-12 microg/kg) and nitroprusside (

Endocrine and Autonomic SystemsNeuroscience
13
Article|43 citations·2011
Therapeutic Effect of Korean Red Ginseng on Inflammatory Cytokines in Rats with Focal Cerebral Ischemia/Reperfusion Injury
Jong Seok Lee, Han Sung Choi, Sung Wook Kang, Joo‐Ho Chung, Hun Kuk Park, Ju Yeon Ban, Oh Young Kwon, Hoon Pyo Hong, Young Gwan Ko
SJR Q1The American Journal of Chinese Medicine

This study aims to identify the therapeutic effect of Korean red ginseng (KRG) on the expression of inflammatory cytokines in rats with focal cerebral ischemia/reperfusion injury. Adult male Sprague-Dawley rats were subjected to transient middle cerebral artery occlusion (tMCAO) for two hours. They were fed KRG extract (100 mg/kg/day per orally) or saline after reperfusion. Tests for neurological deficits, using the modified neurologic severity score and the corner turn test, were performed befo

Molecular BiologyBiochemistry, Genetics and Molecular Biology
14
Article|40 citations·2023
Maximizing AUC to learn weighted naive Bayes for imbalanced data classification
Taeheung Kim, Jong‐Seok Lee
SJR Q1Expert Systems with Applications
Artificial IntelligenceComputer Science
15
Article|39 citations·2010
Data clustering by minimizing disconnectivity
Jong‐Seok Lee, Sigurður Ólafsson
SJR Q1Information Sciences
Artificial IntelligenceComputer Science

Research Areas

Pulmonary and Respiratory MedicineSurgeryOncologyAnesthesiology and Pain MedicineArtificial IntelligenceEpidemiology

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