Journal

• M Lee & Y Kang, 2024
  A Study on Multi-Critic Reinforcement Learning Considering Multifaceted Reward Functions: Application to Recommender Systems, The Journal of Society for e-Business Studies

• M Iqbal & Y Kang, 2024
  Circular economy of food: A secondary supply chain model on food waste management incorporating IoT based technology, Journal of Cleaner Production

• J Maeng, D Min, & Y Kang, 2023
  Intelligent Charging and Discharging of Electric Vehicles in a Vehicle-to-Grid System Using a Reinforcement Learning-Based Approach, Sustainable Energy, Grids and Networks

• H Jo, & Y Kang, 2023
  Enhancing Legal AI Research: Automatic Labeling for Legal Precedents Datasets and Evaluating Case Similarity Using BERT, Asia-pacific Journal of Convergent Research Interchange

• J Liu, & Y Kang, 2023
  Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to Understand Candlesticks, Expert Systems with Applications

• Thoummala N, Y Kang, & Min D, 2023
  A deep learning-based approach to a newsvendor problem considering uncertainty and time-varying costs, Optimization Letters

• P Lyu, SH Kang, Y Kang, MS Choi, 2021
  Supply Chain Finance and Financing Constraints : Evidence from Chinese Multinational Manufacturing Firms, The Journal of Eurasian Studies

• MW Iqbal, Y Kang, 2021
  Waste-to-energy supply chain management with energy feasibility condition, JOURNAL OF CLEANER PRODUCTION

• MB Ramzan, Y Kang, MW Iqbal, 2021
  Development of a Competency Assessment Model for Measurement of the Human Inspection Skill, FIBRES & TEXTILES IN EASTERN EUROPE

• D Min, Y Kang, 2021
  A learning-based approach for dynamic freight brokerages with transfer and territory-based assignment, COMPUTERS & INDUSTRIAL ENGINEERING

• MW Iqbal, Y Kang, HW Jeon, 2020
  Zero waste strategy for green supply chain management with minimization of energy consumption, JOURNAL OF CLEANER PRODUCTION

• Y Kang, S Lee, B Do Chung, 2019
  Learning-based logistics planning and scheduling for crowdsourced parcel delivery, COMPUTERS & INDUSTRIAL ENGINEERING

• MW Iqbal, Y Kang, 2019
  Advanced preservation policy for deteriorating products during transportation and at retailer within a supply chain, IEOM 2019

• Y Kang, M Kang, K Chung, 2019
  Analysis of Accounts Receivable Aging Using Variable Order Markov Model, Journal of Society for e-Business Studies

• J Kim, B Do Chung, Y Kang, B Jeong, 2018
  Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty, JOURNAL OF CLEANER PRODUCTION

• Y Kang, 2018
  An Order Control Policy in Crowdsourced Parcel Pickup and Delivery Service, Advances in Production Management Systems

• HW Jeon, S Lee, A Kargarian, Y Kang, 2017
  power demand risk models on milling machines, Journal of Cleaner Production

• S Lee, Y Kang, NS Ialongo, VV Prabhu, 2016
  Predictive analytics for delivering prevention services, EXPERT SYSTEMS WITH APPLICATIONS

• Y Kang, MR Steis, 2016
  Measuring agreement between healthcare survey instruments using mutual information, BMC MEDICAL INFORMATICS AND DECISION MAKING

• Y Kang, AM Sawyer, PM Griffin, VV Prabhu, 2016
  Modelling adherence behaviour for the treatment of obstructive sleep apnoea, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

• S Lee, Y Kang, VV Prabhu, 2016
  Smart logistics: distributed control of green crowdsourced parcel services, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

• AM Sawyer, Y Kang, V Honavar, P Griffin, 2015
  Stimulating new and innovative perspectives on old and persistent problems: A commentary on ‘attempters adherers and non-adherers: Latent profile analysis of CPAP use with correlates’ by wohlgemuth et al., Sleep Medicine

Thesis

Master thesis

• 박건희, 2025, Local Sparse PCA를 활용한 공간 패턴 발견에 관한 연구

• Angelica Audrey, 2025, Enhancing User Click Probability Prediction Using Auxiliary Ads: An Ensemble and Reinforcement Learning Approach

• 이도연, 2024, Historical Data Embedding Using Hopfield Networks in Reinforcement Learning-Based Recommender Systems

• 류명진, 2024, Risk-Sensitive Strategies for Recommender System Addressing Uncertain Returns

• 이미희, 2023, 다각적인 보상 함수를 고려한 Multi-Critic 강화학습에 관한 연구

• 김홍, 2023, 개인 사용자 및 그룹 선호도를 고려한 강화학습 기반 추천 시스템

• 김지윤, 2023, Diagnostic Classification Framework of Ambient Sensor Data for Aging in Place Smart Home Environments

• 유정, 2023, An Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning

• 남보라, 2023, Pre-defined Curriculum Learning for Time Series Classification

• 우정연, 2023, A Study on BERT based medical Open Information Extraction and Relation Prediction

• 조희진, 2022, A study on dataset for training and similarities of labor legal precedents using BERT-based approach

• 맹주리, 2022, A learning-based optimal charging discharging strategy for electric vehicles under vehicle-to-grid scheme

• 권소정, 2022, A study on Dynamic Markdown Pricing Strategy for Offline Retail Stores Using a Reinforcement Learning Approach

• 김단비, 2021, A study on dynamic markdown pricing model for perishable products under online market environment

Undergraduate Interns Alumni

• 김나영, 2024
  

• 황선경, 2024
  

• 정유빈, 2024
  

• 손예원, 2025