|
Curriculum Vitae |
Jaesung Lee E: curseor at cau.ac.kr R: Automated Machine Learning, Model Selection, Neural Network Design 2026.10.- Director, AI Education Center, Chung-Ang University, Seoul, Korea 2026.03.- Professor, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2025.11.-2027.11. Review Committee Member (KOSDAQ Market Listing Committee), Korea Exchange, Seoul, Korea 2024.04.-2026.03. Adjunct Researcher, Korea Electrotechnology Research Institute, Changwon, Korea 2024.01.- Absentee Director, International Association for Artificial Intelligence and Ethics, Seoul, Korea 2023.04.-2023.12. Consultant, International Association for Artificial Intelligence and Ethics, Seoul, Korea 2021.07.-2025.08. Director, AI/ML Innovation Research Center, Chung-Ang University, Seoul, Korea 2022.01.-2023.12. Chair, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2021.03.-2026.02. Associate Professor, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2021.01.-2021.02. Assistant Professor, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2017.03.-2020.12. Assistant Professor, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea 2014.09.-2017.02. Research Professor, Research Affairs, Chung-Ang University, Seoul, Korea 2013.09.-2014.08. Full-time Researcher, Industry Academic-Cooperation Foundation, Chung-Ang University, Seoul, Korea 2013.03.-2013.08. Part-time Lecturer, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea Ph.D. First (1) Multivariate Feature Selection for Multi-label Classification, Ph.D. Dissertation, 2013 2009.03.-2013.02. Ph.D. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea M.Sc. First (1) Applying the Feature Selection Method for Improvement of Classification Accuracy of Clinical Data, Master's Thesis, 2009 2007.03.-2009.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea B.Sc. First (1) A Study on Expansion Clustering for Initialized Set, Bachelor's Thesis, 2007 2001.03.-2007.02. B.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Jaeho Choi E: jaehochoi2019 at gmail.com 2026.11.-2026.11. IBM Quantum Leadership Program, IBM Thomas J. Watson Research Center, Yorktown, New York, USA 2026.11.-2026.11. IBM Quantum Leadership Program, IBM Korea, Yeouido, Seoul, Korea 2026.09-2026.12. PI Characterizing the Graph Distinguishing Power of QAOA on k-WL-Indistinguishable Graph Pairs, QuREKA Platform, SDT Inc. 2026.09- Full-time Researcher, AutoML Lab., Chung-Ang University, Seoul, Korea M.Sc. First (4) Advanced Torrential Loss Function for Precipitation Forecasting, Physical Review Letters, 2025 2025.09.-2026.08 Research Assistant, AutoML Lab., Chung-Ang University, Seoul, Korea 2024.11.-2025.09. Research Assistant, AI/ML Innovation Research Center, Chung-Ang University, Seoul, Korea 2021.06.-2024.09. Research Scientist, Weather Radar Center, Korea Meteorological Administration, Seoul, Korea 2019.03.-2021.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Won-Seon Lim E: costor107 at gmail.com Ph.D. First (3) Proceeding Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning on the Edge, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026, 2026 Ph.D. First (4) MixER: Mixup-based Experience Replay for Online Class-Incremental Learning, IEEE Access, 2024 Ph.D. First (4) Efficient Human Activity Recognition using Lookup Table-based Neural Architecture Search for Mobile Devices, IEEE Access, 2023 Ph.D. Co (2/4) GTSNet: Flexible Architecture under Budget Constraint for Real-Time Human Activity Recognition from Wearable Sensor, Engineering Applications of Artificial Intelligence, 2023 Ph.D. Co (3/5) Achieving an Optimal Group Structure in a Neural Architecture Search, Electronics Letters, 2022 M.Sc. Co (5/7) Neural Network-based Method for Diagnosing Graves' Orbitopathy using Orbital Computed Tomography, Scientific Reports, 2022 Ph.D. Co (3/5) Multi-Temporal Sampling Module for Real-Time Human Activity Recognition, IEEE Access, 2022 2021.09.- Ph.D. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea M.Sc. First (1) Human Activity Recognition using Mobile Adaptive Deep Learning Architecture Search, Master's Thesis, 2021 2019.09.-2021.08. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
|
Heon-Sung Park E: hopo5798 at gmail.com Ph.D. First (7) Survey on Replay-based Continual Learning and Empirical Validation on Feasibility in Diverse Edge Devices using Representative Method, Mathematics, 2025 Ph.D. First (4) Real-Time On-Device Continual Learning Based on Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition, Sensors, 2025 2022.03.- Ph.D. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea M.Sc. First (1) Personalized Air Gesture Recognition using Mobile Continual Learning, Master's Thesis, 2021 2020.03.-2022.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
|
Sanghyuck Lee E: tkdgur658 at gmail.com Ph.D. First (2) Co-Activation Graph Anchor for Cross Modality Isolation in Short Video Recommendation, Neurocomputing, 2027 Ph.D. Frist (3) Decomposed Spatial Modulator for Efficient Facial-Expression Recognition, IEEE Signal Processing Letters, 2026 Ph.D. Co (3/8) A Survey of Neural Network Segmentation and Validation on Plant Specimen Images of Korean Violaceae, Expert Systems with Applications, 2026 Ph.D. First (5) Automatic Background Animation Generation Aligned with LLM-Generated Lyrics for Children's Songs, Scientific Reports, 2026 Ph.D. First (5) EP-REx: Evidence-Preserving Receptive-Field Expansion for Efficient Crack Segmentation, Symmetry, 2025 2025.09.-2025.12. Overseas International Research Collaboration (AI Graduate School), University of Birmingham, Birmingham, UK Ph.D. First (3) Proceeding Exploiting Fine-grained Skip Behaviors for Micro-video Recommendation, 39th Annual AAAI Conference on Artificial Intelligence, 2025 Ph.D. First (4) Multiple Kernel-Enhanced Encoder for Effective Herbarium Image Segmentation, Electronics Letters, 2025 Ph.D. First (4) Effective encoder-decoder network for pupil light reflex segmentation in facial photographs of ptosis patients, Scientific Reports, 2024 Ph.D. Co (3/6) Memetic Multilabel Feature Selection using Pruned Refinement Process, Journal of Big Data, 2024 Ph.D. First (4) Neural Network-based Pipeline with High-Resolution Feature Enhancement and Low-Resolution Feature Preservation for Automated Treatment Decision of Graves' Orbitopathy Patients, IEEE Access, 2024 2024.09.-2026.08. PI Graph-based Vision-Language Pre-trained Model Adapter for Part Segmentation, National Research Foundation of Korea Ph.D. First (3) Multihead Neural Network for Multiple Segmented Images-based Diagnosis of Thyroid-associated Orbitopathy Activity, IEEE Access, 2024 Ph.D. Co (4/11) Analysis of ultrasonographic images using a deep learning-based model as ancillary diagnostic tool for diagnosing gallbladder polyps, Digestive and Liver Disease, 2023 Ph.D. Co (2/5) Neural Network Application for Assessing Thyroid-Associated Orbitopathy Activity using Orbital Computed Tomography, Scientific Reports, 2023 Ph.D. Co (2/5) Effective encoder-decoder neural network for segmentation of orbital tissue in computed tomography images of Graves’ orbitopathy patients, PLoS One, 2023 2023.03.- Ph.D. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea M.Sc. First (1) A study on Group SE Blocks based Multi-Head Neural Network for Effective Medical Image Processing, Master's Thesis, 2023 2020.09.-2023.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea B.Sc. First (1) Effective Ridership Prediction for Subway Planning of Administrative Area, Bachelor's Thesis, 2020 |
|
|
A-Seong Moon E: aseong002 at gmail.com Ph.D. First (4) Effective Industrial Anomaly Localization using Class-Conditioned Irredundant Feature Patch Selection, Pattern Analysis and Applications, 2026 Ph.D. First (3) Effective Mel-Spectrogram Synthesis for Multi-Speaker Text-to-Speech with Band-Specific Acoustic Modeling, IEEE Access, 2026 Ph.D. Co (2/4) Effective Audio-Visual Event Localization using CLIP-based Global Context Regulation for Mitigating Event Overconfidence, Pattern Recognition, 2026 Ph.D. First (4) A Survey on Multimodal Emotion Recognition: Methods, Datasets, and Future Directions, CMC-Computers, Materials & Continua, 2026 Ph.D. First (3) Effective Encoder-Decoder Network for Multiple Multi-Scale Jagged Masks in Vehicle Damage Segmentation, IEEE Access, 2026 Ph.D. Co (4/8) A Survey of Neural Network Segmentation and Validation on Plant Specimen Images of Korean Violaceae, Expert Systems with Applications, 2026 Ph.D. First (6) Robust Audio-Visual Fusion for Emotion Recognition based on Cross-Modal Learning under Noisy Conditions, CMC-Computers, Materials & Continua, 2025 Ph.D. First (3) Data Augmentation for Dense Passage Retrieval using Corpus-Passage Frequency-Based Token Deletion, Journal of Big Data, 2025 Ph.D. First (3) Survey on 3D Anomaly Detection Regarding Defect Size: Tradeoff Between Accuracy and Efficiency with Future Research Direction, IEEE Access, 2025 Ph.D. Co (4/6) Memetic Multilabel Feature Selection using Pruned Refinement Process, Journal of Big Data, 2024 2023.07.-2023.07. Overseas ELTE Budapest Summer University, Eötvös Loránd University, Budapest, Hungary Ph.D. Co (5/11) Analysis of ultrasonographic images using a deep learning-based model as ancillary diagnostic tool for diagnosing gallbladder polyps, Digestive and Liver Disease, 2023 Ph.D. Co (3/4) Hypert: Hypernymy-aware BERT with Hearst Pattern Exploitation for Hypernym Discovery, Journal of Big Data, 2023 2023.03.- Ph.D. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea M.Sc. First (1) A study on Efficiency in Nerual Networks for Diagnosis of TAO Activity using Computed Tomography Images, Master's Thesis, 2023 M.Sc. 3rd Prize Link B-cell epitope (linear peptide) prediction, 2022 AI Graduate School Challenge, 2022 2022.07.-2022.12. Intern, Infomining, Seoul, Korea 2020.09.-2023.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2019.07.-2020.03. AI Engineer, LG Hitachi, Seoul, Korea |
|
Sujeong Han E: 0001entropy at gmail.com Ph.D. Co (9/13) Herbarium specimens in the age of artificial intelligence: from herbarium image identification to Integrative Taxonomic AI, Journal of Plant Research, 2026 Ph.D. First* (7) A feasibility study of deep learning-based segmentation of the inferior alveolar nerve on magnetic resonance neurography, Scientific Reports, 2026 Ph.D. First* (8) A Survey of Neural Network Segmentation and Validation on Plant Specimen Images of Korean Violaceae, Expert Systems with Applications, 2026 2025.08.-2025.08 Overseas AI for Start-Up and Scale-Up Growth, University of Glasgow, Glasgow, Scotland Ph.D. First (3) Neural network-based automated proptosis measurement using computed tomography images for patients with thyroid-associated orbitopathy, Scientific Reports, 2024 Ph.D. First (4) Automated Eyeball Volume Measurement based on CT Images Using Neural Network-based Segmentation and Simple Estimation, Scientific Reports, 2024 2023.07.-2023.08. Overseas Summer Innovation Academic Program, University of Haifa, Haifa, Israel 2023.09.- Ph.D. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea M.Sc. First (1) A study on estimating the eyeball volume using a truncated cone template based on CT images, Master's Thesis, 2023 2021.09.-2023.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Curriculum Vitae |
Hanyong Lee E: glhy0718 at gmail.com Ph.D. First* (3) Survey on Joint Compression and Fine-Tuning of Large Language Models: Methods, Toolchains, and Open Challenges under Resource Constraints, Neurocomputing, 2026 Ph.D. First* (3) OCR-Assisted Masked BERT for Homoglyph Restoration towards Multiple Phishing Text Downstream Tasks, CMC-Computers, Materials & Continua, 2025 Ph.D. First* (4) Proceeding BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks, Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025 2024.03.- Ph.D. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea M.Sc. First (1) Effective Homoglyph Attack Restoration by Utilizing Character-wise Language Model, Master's Thesis, 2024 2023.07.-2023.07. Overseas ELTE Budapest Summer University, Eötvös Loránd University, Budapest, Hungary M.Sc. 3rd Prize Link B-cell epitope (linear peptide) prediction, 2022 AI Graduate School Challenge, 2022 2022.03.-2024.02 M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2021.09.-2021.12. Intern, S2W Inc., Seongnam, Korea |
|
Haesung Oh E: harrydeoh at gmail.com Ph.D. First (3) Feature-Level Fourier Amplitude Modulation to Reduce Domain-Specific Spectral Bias for Cross-Domain Polyp Segmentation, Journal of Imaging Informatics in Medicine, Accepted Ph.D. First (3) Efficient Remote Sensing Change Detection with Adaptive Frequency Masking for Pseudo-Change Suppression, Pattern Analysis and Applications, 2026 Ph.D. Co (5/7) A feasibility study of deep learning-based segmentation of the inferior alveolar nerve on magnetic resonance neurography, Scientific Reports, 2026 2025.08.-2025.08 Overseas AI for Start-Up and Scale-Up Growth, University of Glasgow, Glasgow, Scotland 2023.07.-2023.08. Overseas Summer Innovation Academic Program, University of Haifa, Haifa, Israel Ph.D. 3rd Prize Link B-cell epitope (linear peptide) prediction, 2022 AI Graduate School Challenge, 2022 2022.07.-2022.12. Intern, Infomining, Seoul, Korea 2022.03.- Ph.D. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Gyu-Il Kim E: gyu6491 at cau.ac.kr 2025.08.-2025.08 Overseas AI for Start-Up and Scale-Up Growth, University of Glasgow, Glasgow, Scotland Ph.D. First (2) DFAN: Single Image Super-Resolution using Stationary Wavelet-based Dual Frequency Adaptation Network, Symmetry, 2025 2025.06.-2025.07 Overseas The 3rd European Summer School in Artificial Intelligence (ESSAI), Bratislava, Slovakia 2025.03.- Ph.D. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Geon-Woo Kim E: kgw20010916 at gmail.com 2026.07.-2026.07 Overseas 13th International School of Deep Learning (DeepLearn 2026), University of Orléans, Orléans, France 2026.03.- Ph.D. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
Minju Kim E: rlaalswn31422 at gmail.com M.Sc. 3rd Prize Link Medical Image Multi-Perspective Understanding: Few-Shot Domain Generalization Challenge, Chung-Ang University Medical-AI Hackathon, 2026 2026.03.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Ready to Graduate |
Seowon Kim E: ksw1912 at gmail.com 2026.03.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
Ready to Graduate |
Si-Hyeon Paik E: paiksh000912 at gmail.com 2026.03.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Gitae Lee E: gtlee1513 at gmail.com 2026.09.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Woojin Lee E: wjlee20805 at gmail.com 2026.09.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Jaegyun Park E: jgp0566.cau at gmail.com Ph.D. First (4) Efficient Cheap All-Layer Aggregation Networks for Time Series Classification in Time-Sensitive Tasks, Knowledge-Based System, 2026 Ph.D. First (3) HT-AggNet: Hierarchical temporal aggregation network with near-zero-cost layer stacking for human activity recognition, Engineering Applications of Artificial Intelligence, 2025 2024.03.- Data Scientist, SK Siltron, Seoul, Korea Ph.D. First (1) Neural Network Design Scheme in Time Series Data: New Perspective on Budget Constraint, Ph.D. Dissertation, 2025 Ph.D. First (3) Proceeding CALANet: Cheap All-Layer Aggregation for Human Activity Recognition, 38th Annual Conference on Neural Information Processing Systems, 2024 Ph.D. Co (2/6) Memetic Multilabel Feature Selection using Pruned Refinement Process, Journal of Big Data, 2024 Ph.D. First (4) GTSNet: Flexible Architecture under Budget Constraint for Real-Time Human Activity Recognition from Wearable Sensor, Engineering Applications of Artificial Intelligence, 2023 Ph.D. Co (2/5) Achieving an Optimal Group Structure in a Neural Architecture Search, Electronics Letters, 2022 Ph.D. Co (3/7) Neural Network-based Method for Diagnosing Graves' Orbitopathy using Orbital Computed Tomography, Scientific Reports, 2022 Ph.D. First (4) Multi-Temporal Sampling Module for Real-Time Human Activity Recognition, IEEE Access, 2022 Ph.D. Co (3/5) Toward a Fair Evaluation and Analysis of Feature Selection for Music Tag Classification, IEEE Access, 2021 Ph.D. First (4) Multi-population Genetic Algorithm for Multilabel Feature Selection based on Label Complementary Communication, Entropy, 2020 2020.03.-2025.02. Ph.D. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea M.Sc. First (1) Multi-label Feature Selection using Hybrid Particle Swarm Optimization, Master's Thesis, 2020 M.Sc. Co (2/4) Competitive Particle Swarm Optimization for Multi-Category Text Feature Selection, Entropy, 2019 M.Sc. Co (3/4) Memetic Feature Selection for Multilabel Text Categorization using Label Frequency Difference, Information Sciences, 2019 2018.03.-2020.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Wangduk Seo E: seowangduk at gmail.com Ph.D. Corr (5) Automatic Background Animation Generation Aligned with LLM-Generated Lyrics for Children's Songs, Scientific Reports, 2026 Ph.D. First (4) ChainImputer: Effective Neural Missing Value Imputation using Iterative Refinement based on Cumulative Feature Set, Symmetry, 2025 2024.09.- Assistant Professor, Division of Computer Science and Engineering, Kyonggi University, Suwon, Korea Ph.D. First (6) Memetic Multilabel Feature Selection using Pruned Refinement Process, Journal of Big Data, 2024 Ph.D. First (2) Proceeding Unsupervised Feature Selection towards Pattern Discrimination Power, 40th Conference on Uncertainty in Artificial Intelligence, 2024 Ph.D. First (4) A Short Survey and Comparison of CNN-based Music Genre Classification using Multiple Spectral Features, IEEE Access, 2024 2023.09.-2024.08 Full-time Researcher, AI/ML Innovation Research Center, Chung-Ang University, Seoul, Korea Ph.D. First (1) Hybrid Feature Selection for Multilabel Classification, Ph.D. Dissertation, 2023 Ph.D. Co (2/4) Efficient Human Activity Recognition using Lookup Table-based Neural Architecture Search for Mobile Devices, IEEE Access, 2023 Ph.D. First (5) Achieving an Optimal Group Structure in a Neural Architecture Search, Electronics Letters, 2022 Ph.D. First (4) Effective Memetic Algorithm for Multilabel Feature Selection using Hybridization based Communication, Expert Systems with Applications, 2022 Ph.D. Co (2/7) Neural Network-based Method for Diagnosing Graves' Orbitopathy using Orbital Computed Tomography, Scientific Reports, 2022 Ph.D. First (3) Generalized Information-theoretic Criterion for Multi-label Feature Selection, IEEE Access, 2019 Ph.D. Co (2/4) Compact Feature Subset-based Multi-label Music Categorization for Mobile Devices, Multimedia Tools and Applications, 2019 2019.03.-2023.08 Ph.D. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea M.Sc. First (1) Multi-label Feature Selection under Size Constraint Conditions, Master's Thesis, 2019 M.Sc. Co (2/4) Evolutionary Multilabel Feature Selection Using Promising Feature Subset Generation, Journal of Sensors, 2018 M.Sc. Co (2/3) Effective Evolutionary Multilabel Feature Selection under a Budget Constraint, Complexity, 2018 M.Sc. Co (2/3) Efficient Information-theoretic Unsupervised Feature Selection, Electronics Letters, 2018 2017.03.-2019.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Jinhyuk Jo E: jinhyukjo at gmail.com 2024.03.- Collaboration Professor, AI/SW Education Center, Chung-Ang University, Seoul, Korea 2022.04.-2024.02. Full-time Researcher, AI/ML Innovation Research Center, Chung-Ang University, Seoul, Korea Ph.D. First (4) Effective Computer-Assisted Pronunciation Training Based on Phone-Sensitive Word Recommendation, Concurrency and Computation: Practice and Experience, 2021 Ph.D. First (1) AI-Based Personalized Learning for English Pronunciation Training, Ph.D. Dissertation, 2020 2011.03.-2020.02. Ph.D. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea M.Sc. First (1) The Analysis of Inter-Relation Between Physical Music Feature and Korean Emotion, Master's Thesis, 2011 2009.03.-2011.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Hyun-Soon Lee
E: hslee.knu at gmail.com 2023.03.- Assistant Professor, Department of Artificial Intelligence Software, Korea Polytechnic I college, Seongnam, Korea 2022.08.-2023.02. Post Doctoral Researcher, AI/ML Innovation Research Center, Chung-Ang University, Seoul, Korea 2021.04.-2022.07. Post Doctoral Researcher, Korea Brain Research Institute, Daegu, Korea Ph.D. First (1) Development of Continuous Emotion Estimation System based on JAFFE and CK+ Dataset for Human-Robot Interaction, Ph.D. Dissertation, Kyungpook National University, 2020 Ph.D. Co (2/3) Multi-Cleaning Robots Using Cleaning Distribution Method Based on Map Decomposition in Large Environments, IEEE Access, 2020 Ph.D. First (2) Continuous emotion estimation of facial expressions on JAFFE and CK+ datasets for human-robot interaction, Intelligent Service Robotics, 2020 Ph.D. First (4) Estimation of Driver's Danger Level when Accessing the Center Console for Safe Driving, Sensors, 2018 2014.09.-2021.02. Ph.D. Course, School of Mechanical Engineering, Kyungpook National University, Daegu, Korea 2009.03.-2010.02. Software Engineer, Corporation ImageJapanSystems, Tokyo, Japan 2007.04.-2008.12. Software Engineer, Corporation MynetGroup, Tokyo, Japan 2006.04.-2007.03. Software Engineer, INJConsulting Corporation, Tokyo, Japan 2004.03.-2006.03. Software Engineer, MBridge Corporation, Deagu, Korea 2003.03.-2003.08. Part-Time Lecturer, Gyeongju University, Gyeongju, Korea M.Sc. First (1) Face Recognition System using Edge Feature Information of Image, Master's Thesis, 2002 2001.03.-2003.02. M.Sc. Course, School of Computer Engineering, Kyungpook National University, Daegu, Korea |
|
|
|
Jonghoon Chae E: jhchae.cau at gmail.com 2026.03.- Head, AI Strategy Department, Hana Financial Investment, Seoul, Korea 2024.02.-2026.01. Senior Consultant, Finance Innovation Group, Samsung SDS, Seoul, Korea Ph.D. First (1) Genetic Algorithm based Complementary Feature Selection for Music Multi-tag Classification, Ph.D. Dissertation, 2022 Ph.D. First (5) Toward a Fair Evaluation and Analysis of Feature Selection for Music Tag Classification, IEEE Access, 2021 2017.04.-2022.02. Research Engineer, AI Lab, LG Electronics 2015.02.-2017.03. Research Engineer, Acryl (Emotion AI Platform) Ph.D. Co (2/3) Effective Music Searching Approach based on Tag-Combination by exploiting Prototypical Acoustic Content, Multimedia Tools and Applications, 2017 2011.03.-2015.02. Ph.D Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
|
Hyunki Lim E: hyunki05 at gmail.com 12 2020.09.- Assistant Professor, Division of Computer Science and Engineering, Kyonggi University, Suwon, Korea 11 2018.07.-2020.08. Post Doctoral Researcher, Korea Institute of Science and Technology, Seoul, Korea 10 2018.03.-2018.06. HK Research Professor, Humanities Research Institute, Chung-Ang University, Seoul, Korea 9 Ph.D. First (1) Convex optimization based on feature selection for multi-label classification, Ph.D. Dissertation, 2018 8 Ph.D. First (3) Optimization approach for feature selection in multi-label classification, Pattern Recognition Letters, 2017 7 Ph.D. First (3) Accelerating Multi-label Feature Selection based on Low-Rank Approximation, IEICE Transactions on Information and Systems, 2016 6 Ph.D. First (3) Multi-label Learning using Mathematical Programming, IEICE Transactions on Information and Systems, 2015 5 Ph.D. Co (3/5) Efficient Dynamic Time Warping for 3D Handwriting Recognition using Gyroscope equipped Smartphones, Expert Systems with Applications, 2014 4 Ph.D. Co (2/3) Approximating Mutual Information for Multi-label Feature Selection, Electronics Letters, 2012 3 2012.03.-2018.02. Ph.D. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea 2 M.Sc. First (1) Using mutual information for selecting features in multi-label classification, Master's Thesis, 2012 1 2010.03.-2012.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Xu Miao E: xmiao.knu at gmail.com 2019.06.- Full-time Researcher, Kyungpook National University, Daegu, Korea 2019.03.-2018.05. Full-time Researcher, Industry Academic-Cooperation Foundation, Chung-Ang University, Seoul, Korea Ph.D. First (1) Development of Coverage Path Planning Method Based on Dynamic Map Decomposition for Multi-Cleaning Robot, Ph.D. Dissertation, Kyungpook National University, 2018 Ph.D. First (3) Scalable Coverage Path Planning for Cleaning Robots using Rectangular Map Decomposition on Large Environments, IEEE Access, 2018 Ph.D. Co (2/4) ROBIL: Robot Path Planning Based on PBIL Algorithm, International Journal of Advanced Robotic Systems, 2014 2013.03.-2019.02. Ph.D. Course, School of Robot Engineering, Kyungpook National University, Daegu, Korea |
|
|
Haesung Kim E: stevenkim1259 at gmail.com M.Sc. First (1) A Study on Efficient Facial Expression Recognition for Fast Inference using Dilated Mixed Convolutions, Master's Thesis, 2027 M.Sc. Co (2/3) Decomposed Spatial Modulator for Efficient Facial-Expression Recognition, IEEE Signal Processing Letters, 2026 M.Sc. Co (2/4) A Survey on Multimodal Emotion Recognition: Methods, Datasets, and Future Directions, CMC-Computers, Materials & Continua, 2026 2025.09.-2026.08. PI Lightweight Micro-Facial Expression Recognition for near-Neutral Faces Based on Self-Knowledge Distillation, National Research Foundation of Korea 2025.07.-2025.09 Teaching Assistant, Hyundai Bootcampus, Seoul, Korea M.Sc. First (3) Enhancing Facial Expression Recognition via Fine-Tuning with Supervised Contrastive Learning, IEIE, 2025 2025.03.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Hun Song E: thdgns8 at gmail.com M.Sc. First (1) A Study on Image Forgery Localization based on Distant Point Prompting for Multiple Segments in Non-Forgery Region, Master's Thesis, 2027 M.Sc. Co (2/4) Submitted Effective Image Forgery Localization based on Distant Point Prompting for Multiple Segments in Non-Forgery Regions 2025.07.-2025.09 Teaching Assistant, Hyundai Bootcampus, Seoul, Korea M.Sc. First (3) Proceeding Detecting Fake Images with Surrounding Pixel Relationships, IEIE, 2025 2025.03.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Daehyeon Kim E: rlaeogus031128 at gmail.com M.Sc. First (1) A Study on Efficient Crack Segmentation Using Evidence-Preserving Receptive-Field Expansion, Master's Thesis, 2027 2026.03.-2027.02. President, 47th Student Council, Graduate School, Chung-Ang University, Seoul, Korea M.Sc. Co (4/5) EP-REx: Evidence-Preserving Receptive-Field Expansion for Efficient Crack Segmentation, Symmetry, 2025 M.Sc. First (4) Proceeding Enhancing Feature Fusion in Skip Connections for Efficient Crack Segmentation, IEIE, 2025 2022.03.- M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2022.11.-2023.10. President, 3rd Student Council, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Namyoung Koo E: fantage9 at gmail.com M.Sc. First (1) A Study on Bitstream-Based Semiconductor Manufacturing Protocol Classification for Software-Defined Factory, Master's Thesis, 2026 2024.11.- Software Engineer, Absolics Inc., Georgia, USA 2021.06.-2024.10. Software Engineer, Freelancer, Seongnam, Korea 2020.04.-2021.05. Software Engineer, Softcamp, Seongnam, Korea 2019.02.-2019.12. Software Engineer, PlaceHub, Seoul, Korea 2017.12.-2019.02. Software Engineer, Dreamsys, Seoul, Korea 2016.08.-2017.04. Software Engineer, InnoSpark, Seongnam, Korea 2015.07.-2016.08. Software Engineer, NHN Starfish, Seongnam, Korea 2012.08.-2015.02. Software Engineer, InnoSpark, Seoul, Korea 2010.05.-2012.08. Software Engineer, Joycity, Seongnam, Korea 2008.03.-2026.08. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Kyoungmin Shin E: shinkm1104 at cau.ac.kr M.Sc. Co (3/4) Submitted Effective Image Forgery Localization based on Distant Point Prompting for Multiple Segments in Non-Forgery Regions M.Sc. Co (2/3) Efficient Remote Sensing Change Detection with Adaptive Frequency Masking for Pseudo-Change Suppression, Pattern Analysis and Applications, 2026 M.Sc. First (1) A Study on Efficient Remote Sensing Change Detection with Adaptive Frequency Masking for Pseudo-Change Suppression, Master's Thesis, 2026 M.Sc. First (3) Proceeding A Survey on Multi-Label Chest X‑Ray Classification, IEIE, 2025 M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 2024.09.-2026.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2022.02.-2023.12. Pipeline Technical Director, WESTWORLD Co.,Goyang-si, Korea |
|
|
Sang-Rak Lee E: tkdfkr1503 at gmail.com M.Sc. First (4) Effective Audio-Visual Event Localization using CLIP-based Global Context Regulation for Mitigating Event Overconfidence, Pattern Recognition, 2026 M.Sc. First (1) A Study on CLIP-Based Global Context Regulation for Audio-Visual Event Localization, Master's Thesis, 2026 2025.08.- AI/Data Manager, PIA Space, Seoul, Korea 2025.03.-2025.07. Intern, PIA Space, Seoul, Korea M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 2024.09.-2025.08. PI CLIP-based Noise-Robust Audio-visual Event Localization, National Research Foundation of Korea 2024.09.-2026.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Se-Hoon Jung E: storyfor980107 at gmail.com M.Sc. Co (2/4) Effective Industrial Anomaly Localization using Class-Conditioned Irredundant Feature Patch Selection, Pattern Analysis and Applications, 2026 M.Sc. First (1) A Study on Industrial Anomaly Localization based on Class-Conditioned Irredundant Feature Patch Selection, Master's Thesis, 2026 M.Sc. First (3) Proceeding Effective Anomaly Detection by Minimizing Background Interference, IEIE, 2025 M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 2024.09.-2026.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2017.11.-2018.10. Head of Inter-University Relations Division, 46th Student Council, Department of Software, Chung-Ang University, Seoul, Korea |
|
|
Ye-Chan Park E: qkrd1285 at cau.ac.kr M.Sc. First (1) A study on Token Masking Augmentation Using Term-Document Frequency For Language Model-Based Legal Case Classification, Master's Thesis, 2026 M.Sc. Co (3/4) A Survey on Multimodal Emotion Recognition: Methods, Datasets, and Future Directions, CMC-Computers, Materials & Continua, 2026 M.Sc. Co (3/5) Automatic Background Animation Generation Aligned with LLM-Generated Lyrics for Children's Songs, Scientific Reports, 2026 M.Sc. First (3) Text Data Augmentation For Legal Case Classification Using Token Masking Based on Term-Document Frequency, CMC-Computers, Materials & Continua, 2025 M.Sc. First* (3) OCR-Assisted Masked BERT for Homoglyph Restoration towards Multiple Phishing Text Downstream Tasks, CMC-Computers, Materials & Continua, 2025 M.Sc. First (3) SCOPUS Scaling Up: Analyzing Classification Outcomes in Large Korean Legal Document Datasets, Jahr-European Journal of Bioethics, 2025 M.Sc. First (3) Proceeding Justice AI: Implementation and Evaluation of Legal Case Retrieval AI Using Dense Passage Retrieval, ICCE, 2025 M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 2024.03.-2026.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea B.Sc. First (2) SCOPUS Test Reliability in Case Law by Analysis of Korean Precedent Judgment Criteria on the Degree of Assault and Intimidation, Jahr-European Journal of Bioethics, 2024 B.Sc. First (2) Software Aspect-level classification Program based on capturing the structural characteristics of the target, C-2023-024388, 2023 B.Sc. First (2) KCI Deep Learning for Predicting Korean Court Judgments Based on Judges' Cognitive Reasoning, Journal of Artificial Intelligence Humanities, 2023 B.Sc. First (2) KCI Analysis of Supreme Court of Korea's Judgment Criteria on the Degree of Assault and Intimidation - For Empirical Verification of the Court's Judgment Process, Journal of Artificial Intelligence Humanities, 2022 2020.03.-2024.02. B.Sc. Course, Integrated Major in Software and Humanities, Chung-Ang University, Seoul, Korea 2020.03.-2024.02. B.Sc. Course, School of Public Service, Chung-Ang University, Seoul, Korea |
|
|
Hyeon-Chang Chu E: cngusckd at gmail.com 2026.06.- AI Engineer, Vueron Technology, Seoul, Korea M.Sc. First (1) A Study on Replay based Domain Incremental Learning Using Class-Wise Feature Alignment for Alleviating Domain Shift in Feature Space, Master's Thesis, 2026 M.Sc. Co (2/7) Survey on Replay-based Continual Learning and Empirical Validation on Feasibility in Diverse Edge Devices using Representative Method, Mathematics, 2025 2024.03.-2026.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea 2023.05.-2023.11. Intern Researcher, Korea Electronics Technology Institute AI Research Center, Seongnam, Korea |
|
|
Timur Khairulov E: khairulov00 at gmail.com 2026.03.- Intern (AI Engineer), SpaceVision AI, Seoul, Korea M.Sc. Co (2/4) Efficient Cheap All-Layer Aggregation Networks for Time Series Classification in Time-Sensitive Tasks, Knowledge-Based System, 2026 M.Sc. First (1) A Study on Maximizing Joint Entropy and Pattern Discrimination for Unsupervised Feature Selection, Master's Thesis, 2026 M.Sc. Co (2/5) Automatic Background Animation Generation Aligned with LLM-Generated Lyrics for Children's Songs, Scientific Reports, 2026 M.Sc. Co (3/5) EP-REx: Evidence-Preserving Receptive-Field Expansion for Efficient Crack Segmentation, Symmetry, 2025 M.Sc. First (3) Proceeding Enhancing Unsupervised Feature Selection by Maximizing Entropy with Regularization, IEIE, 2025 M.Sc. Co (2/4) ChainImputer: Effective Neural Missing Value Imputation using Iterative Refinement based on Cumulative Feature Set, Symmetry, 2025 M.Sc. Co (2/3) Proceeding Diffusion Model-Based Generative Pipeline for Children Song Video, ICCE, 2025 2024.03.-2026.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2023.05.-2024.02. Software Developer, YADRO, Moscow, Russia |
|
|
Jeongwon Lee E: jeongwonlee0204 at gmail.com M.Sc. First (1) A Study on Storage-Efficient Segmentation Network for On-Device Skincare Device with Application to Skin Lesion, Master's Thesis, 2026 M.Sc. Co (6/8) A Survey of Neural Network Segmentation and Validation on Plant Specimen Images of Korean Violaceae, Expert Systems with Applications, 2026 2025.12.- AI Engineer, PIA Space, Seoul, Korea M.Sc. Co (2/5) EP-REx: Evidence-Preserving Receptive-Field Expansion for Efficient Crack Segmentation, Symmetry, 2025 M.Sc. Co (5/7) Survey on Replay-based Continual Learning and Empirical Validation on Feasibility in Diverse Edge Devices using Representative Method, Mathematics, 2025 M.Sc. First (3) Proceeding Proceeding Reducing Computational Overhaed in Skin Lesion Segmentation using Dynamic Selective Aggregation U-Net, IEIE, 2025 M.Sc. Co (2/3) Proceeding Justice AI: Implementation and Evaluation of Legal Case Retrieval AI Using Dense Passage Retrieval, ICCE, 2025 M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 2024.07.-2025.06. PI Robust Semantic Segmentation against Domain Shifts based on Deformable Transformer, National Research Foundation of Korea 2024.03.-2026.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Chaewoon Kim E: rlacodns7 at gmail.com 2026.07.- AI Engineer, Megazone Cloud, Gwacheon, Korea M.Sc. First (1) A Study on Dual-Path Graph Convolution Network Using Skip Graph Separation for Micro-video Recommendation, Master's Thesis, 2026 M.Sc. Co (4/7) Survey on Replay-based Continual Learning and Empirical Validation on Feasibility in Diverse Edge Devices using Representative Method, Mathematics, 2025 M.Sc. First (3) Proceeding Enhancing Representation Learning through Transformer with Positional Embedding for Automatic Playlist Continuation, IEIE, 2025 M.Sc. Co (2/3) Proceeding Automatic Playlist Generation: A Comprehensive Crux of a Methodology for Technology Trend, ICCE, 2025 M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 2024.03.-2026.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2022.10.-2024.02. Researcher (Mobile page/webapp module develop), Douzone, Seoul, Korea 2019.06.-2019.12. Intern (Mobile/Web QA), Nexon Network, Seongnam, Korea |
|
|
Donghee Kim E: donghee6 at cau.ac.kr 2026.03.- AI/Data Engineer, Auton, Anyang, Korea M.Sc. First (1) Dwarf-Net: A Study on Small Polyp Segmentation Leveraging the Capabilities of a Single Decoder Neural Network, Master's Thesis, 2026 2025.09.-2026.02. Intern, Auton, Anyang, Korea M.Sc. Co (3/6) Robust Audio-Visual Fusion for Emotion Recognition based on Cross-Modal Learning under Noisy Conditions, CMC-Computers, Materials & Continua, 2025 M.Sc. First (3) Proceeding Analyzing Small Polyps through Endoscopic Image Segmentation, IEIE, 2025 M.Sc. Co (2/4) Proceeding A Crux on Audio-Visual Emotion Recognition in the Wild with Fusion Methods, ICCE, 2025 2024.03.-2026.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Min-Kyung Sung E: clary9752 at gmail.com M.Sc. Co (2/3) Effective Encoder-Decoder Network for Multiple Multi-Scale Jagged Masks in Vehicle Damage Segmentation, IEEE Access, 2026 M.Sc. Co (5/8) A Survey of Neural Network Segmentation and Validation on Plant Specimen Images of Korean Violaceae, Expert Systems with Applications, 2026 2025.12.- AI/Data Manager, PIA Space, Seoul, Korea M.Sc. Co (3/7) Survey on Replay-based Continual Learning and Empirical Validation on Feasibility in Diverse Edge Devices using Representative Method, Mathematics, 2025 M.Sc. First (1) A Study on Effective Encoder-Decoder Neural Networks for Multiple Multi-Scale Disordered Masks in Vehicle Damage Segmentation, Master's Thesis, 2025 M.Sc. First (3) Proceeding A study on vehicle damage segmentation based on multi-scale decoder for improved damage recognition, IEIE, 2025 M.Sc. First (3) Proceeding Automatic Playlist Generation: A Comprehensive Crux of a Methodology for Technology Trend, ICCE, 2025 M.Sc. Co (2/4) Real-Time On-Device Continual Learning Based on Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition, Sensors, 2025 M.Sc. First (3) Proceeding Recent Research Trends In Open Vocabulary Segmentation Based-on Vision-Language Pre-trained Model, IEIE, 2024 M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 2023.09.-2025.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Seung-Yeon Jeong E: jq3210 at gmail.com 2026.08.- AI Researcher, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea 2026.01.-2026.07 Data Researcher, Seoul National University Hospital (SNUH) Innovative Medical Technology Research Institute, Seoul, Korea M.Sc. Co (2/6) Robust Audio-Visual Fusion for Emotion Recognition based on Cross-Modal Learning under Noisy Conditions, CMC-Computers, Materials & Continua, 2025 M.Sc. First (1) A Study on Robust Audio-Visual Fusion for Emotion Recognition Based on Cross-Modal Learning under Noisy Conditions, Master's Thesis, 2025 M.Sc. First (4) Proceeding A Crux on Audio-Visual Emotion Recognition in the Wild with Fusion Methods, ICCE, 2025 2024.12.-2025.08 AI Engineer, Delight, Seoul, Korea M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 2024.09.-2024.11. PI Robust Audio-Visual Fusion for Emotion Recognition based on Cross-Modal Learning under Noisy Conditions, National Research Foundation of Korea M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 2023.09.-2025.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Kun-Ho Lee E: dlrmsghz at gmail.com 2026.01.- AI Engineer, Quantum AI, Seoul, Korea M.Sc. Co (2/3) Survey on 3D Anomaly Detection Regarding Defect Size: Tradeoff Between Accuracy and Efficiency with Future Research Direction, IEEE Access, 2025 M.Sc. First (1) A Study on Multimodal Industrial Anomaly Detection for Irregular Surfaces using Dynamic Noise Augmentation, Master's Thesis, 2025 2024.06.-2025.08. Career Hidden Due to Privacy Issue 2023.09.-2025.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2021.09.-2022.10. Assistant Research Engineer, RIMO, Seoul, Korea 2020.06.-2021.07. Assistant Research Engineer, T3Q, Seoul, Korea |
|
|
Dahyun Song E: hyeons.opy at gmail.com M.Sc. Co (2/3) Effective Mel-Spectrogram Synthesis for Multi-Speaker Text-to-Speech with Band-Specific Acoustic Modeling, IEEE Access, 2026 2026.03.- AI/Data Engineer, Auton, Anyang, Korea 2025.09.-2026.02. Intern, Auton, Anyang, Korea M.Sc. First (1) A Study on Mel-Spectrogram Synthesis for Multi-Speaker Text-to-Speech Task based on High-Low Frequency Separation, Master's Thesis, 2025 M.Sc. First (3) Optimized Mel-Spectrogram Generation for Real-Time Multi-Speaker TTS using Frequency Band Separation, IEIE, 2025 M.Sc. First (2) Proceeding Briefing of Text-To-Speech Trends Toward Zero-Shot Multi-Speaker Synthesis, ICCE, 2025 M.Sc. Co (4/6) Proceeding A Simple Localization and Classification Framework Based on Template Matching and Self-Attention for TAO Treatment Diagnosis, ICCE, 2024 M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 M.Sc. 3rd Prize Medical Technology for Patients with Thyroid-associated Ophthalmopathy, AI Technology-based Employment and Start-up Workshop, 2023 M.Sc. First (3) Proceeding Recent Research Trends of CNN-based Music Emotion Recognition, IEIE, 2023 M.Sc. First (2) Software A Study on the Utilization of Graph Neural Networks for Aspect-based Sentiment Analysis, C-2023-022868, 2023 2023.03.-2025.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Sojeong Kim E: sojeong6894 at gmail.com M.Sc. First (3) Blended Embedding Guided Style Transfer in Inversion-Based Diffusion for Creatively-Matched Source-Reference Pairs Neurocomputing, 2026 2025.09.- AI Engineer, Komapper, Seoul, Korea M.Sc. First (1) A Study on Blended Embedding Guided Style Transfer in Inversion-Based Diffusion, Master's Thesis, 2025 M.Sc. First (3) End-to-End Design of Webtoon-Style Portrait Stylization System for Real-World Demo Booth, IEEE Access, 2025 M.Sc. First (4) Proceeding A Study of Style Transfer based on Text-to-Image Diffusion Models, ICCE, 2025 M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 M.Sc. Co (4/5) Proceeding An Efficient Fine-Tuning of Generative Language Model for Aspect-Based Sentiment Analysis, ICCE, 2024 M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 M.Sc. Event 2023 SW Education Festival - CAU Booth, Ilsan, Korea, 2023 M.Sc. Event 2023 CAU AI Symposium - AutoML Lab Booth, Seoul, Korea, 2023 M.Sc. First (2) Software A Text Guided Image Generation Model Based on Diffusion, C-2023-023598, 2023 2023.03.-2025.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2021.11.-2022.08. Staff, RIU, Seoul, Korea |
|
|
Sangkeun Park E: psk492 at gmail.com M.Sc. First (1) A Study of Effective Micro-Video Recommendation via Explicit Interaction Separation Reflecting Novelty, Master's Thesis, 2025 M.Sc. Co (2/3) Proceeding Exploiting Fine-grained Skip Behaviors for Micro-video Recommendation, 39th Annual AAAI Conference on Artificial Intelligence, 2025 M.Sc. Co (5/6) Proceeding A Simple Localization and Classification Framework Based on Template Matching and Self-Attention for TAO Treatment Diagnosis, ICCE, 2024 M.Sc. 3rd Prize Medical Technology for Patients with Thyroid-associated Ophthalmopathy, AI Technology-based Employment and Start-up Workshop, 2023 2023.03.-2025.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2019.11.-2022.03. PO, IOISOFT, Seoul, Korea 2017.08.-2019.10. Director, ENTROB, Seoul, Korea 2014.09.-2017.07. Director, Daesang Techroll, Gwangju, Gyeonggido, Korea 2011.06.-2014.06. QA Engineer, GS Engineering & Construction, Seoul, Korea |
|
|
Min-Gi Kim E: ddmr0608 at gmail.com M.Sc. Co (2/5) SCOPUS Alleviating Low-Level Information Loss in Multi-Scale Block for Effective Posterior Extraocular Muscles Segmentation, IEEE Transactions on Radiation and Plasma Medical Sciences, 2025 2025.03.- Machine Learning Engineer, Joonggonara, Seoul, Korea (Alternative Military Service) M.Sc. First (1) A Study on Posterior Extraocular Muscles Segmentation in CT Image of Dysthyroid Optic Neuropathy Patients, Master's Thesis, 2024 M.Sc. Co (3/4) Proceeding A Study of Style Transfer based on Text-to-Image Diffusion Models, ICCE, 2025 2023.09.-2024.02. Intern (AI Researcher/Multimodal AI Image Generation), NCSoft, Seongnam, Korea M.Sc. Co (3/6) Proceeding A Simple Localization and Classification Framework Based on Template Matching and Self-Attention for TAO Treatment Diagnosis, ICCE, 2024 M.Sc. 3rd Prize Medical Technology for Patients with Thyroid-associated Ophthalmopathy, AI Technology-based Employment and Start-up Workshop, 2023 M.Sc. First (2) Software Encoder-decoder for orbit tissue segmentation in CT images, C-2023-023370, 2023 2023.03.-2025.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Kyu-Min Kim E: kyumin3537 at gmail.com M.Sc. Co (2/3) Data Augmentation for Dense Passage Retrieval using Corpus-Passage Frequency-Based Token Deletion Journal of Big Data, 2025 2025.01.- AI Researcher, Korea Electronics Technology Institute (KETI), Seongnam, Korea M.Sc. First (1) A Study of Data Augmentation for Dense Passage Retrieval using Corpus-Passage Frequency-Based Token Deletion, Master's Thesis, 2024 M.Sc. First (3) Proceeding GoodGPT: Counseling-Chat, ICCE, 2025 M.Sc. Event 2024 The AI Show - AutoML Lab Booth, Seoul, Korea, 2024 M.Sc. Co (3/5) Proceeding An Efficient Fine-Tuning of Generative Language Model for Aspect-Based Sentiment Analysis, ICCE, 2024 M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 2023.03.-2025.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Sang-Hyeong Jin E: jinsanghyeong at gmail.com 2024.08.- AI Researcher, Data Design Engineering, Seoul, Korea M.Sc. First (1) A study on Effective Music Skip Prediction based on Fusion after Separated Convolution of Track and Session Features, Master's Thesis, 2024 M.Sc. First (2) Effective Music Skip Prediction based on Late Fusion Architecture for User-Interaction Noise, Expert Systems with Applications, 2024 M.Sc. First (2) Proceeding Employing Multi-branch Convolution Structure in 1D ResNet for Music Skip Prediction, ICEIC, 2023 2022.09.-2024.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Chaelyn Lee E: mylynchae at gmail.com M.Sc. First* (4) Proceeding BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks, Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025 2024.11.- AI Researcher, Korea Electronics Technology Institute (KETI), Seongnam, Korea M.Sc. First (1) Efficient Fine-tuning Approach for Large Language Models in Aspect-based Sentiment Analysis, Master's Thesis, 2024 M.Sc. First (5) Proceeding An Efficient Fine-Tuning of Generative Language Model for Aspect-Based Sentiment Analysis, ICCE, 2024 M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 M.Sc. Training Link ELTE Budapest Summer University, Eötvös Loránd University, Budapest, Hungary, 2023 M.Sc. First (2) Proceeding A Crux on Current Neural Collaborative Filtering Methods, ICEIC, 2023 2022.09.-2024.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Hye-Jin Baek E: bhj4208 at gmail.com 2026.06.- AI Engineer, POSCO DX, Pangyo, Korea M.Sc. Co (3/4) ChainImputer: Effective Neural Missing Value Imputation using Iterative Refinement based on Cumulative Feature Set, Symmetry, 2025 2024.10.-2026.05. Senior (IT Planning), Auton, Anyang, Korea Link M.Sc. First (1) A Study of Improving Neural Mising Value Imputation by Chain Approach, Master's Thesis, 2024 M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 M.Sc. Event 2023 SW Education Festival - CAU Booth, Ilsan, Korea, 2023 M.Sc. Event 2023 CAU AI Symposium - AutoML Lab Booth, Seoul, Korea, 2023 M.Sc. First (1) Proceeding Performance Analysis of Missing Value Imputation for Tabular Data, ICEIC, 2023 2022.09.-2024.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2022.02.-2022.08. AI Researcher, DKI Technology, Seoul, Korea 2020.12.-2021.12. AI Engineer, T3Q, Seoul, Korea |
|
|
Taekyung Song E: songteagyong at gmail.com 2025.12.- Researcher, Aivis, Seoul, Korea M.Sc. Co (2/4) Effective encoder-decoder network for pupil light reflex segmentation in facial photographs of ptosis patients, Scientific Reports, 2024 2024.07.-2025.11. AI Engineer, PIA Space, Seoul, Korea M.Sc. Co (4/9) Deep Semantic Segmentation Applications for Natural Disaster Detections: A Methodological Review, Ecological Indicators, 2024 M.Sc. First (1) A Study on Small Object Segmentation for Eyelid Contour Measurement, Master's Thesis, 2024 M.Sc. Co (2/4) Development of a neural network-based automated eyelid measurement system, Scientific Reports, 2024 M.Sc. Event 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023 M.Sc. Event 2023 CAU AI Symposium - AutoML Lab Booth, Seoul, Korea, 2023 M.Sc. Co (2/6) Proceeding A Simple Localization and Classification Framework Based on Template Matching and Self-Attention for TAO Treatment Diagnosis, ICCE, 2024 M.Sc. 3rd Prize Medical Technology for Patients with Thyroid-associated Ophthalmopathy, AI Technology-based Employment and Start-up Workshop, 2023 M.Sc. First (2) Proceeding Effective Eyelid Length Measurement Using Semantic Segmentation, ICEIC, 2023 M.Sc. First (2) Software Eyelid Length Inference Algorithm for TAO patient Using AI Model, C-2022-036917, 2022 M.Sc. 3rd Prize Link B-cell epitope (linear peptide) prediction, 2022 AI Graduate School Challenge, 2022 M.Sc. Co (2/3) Proceeding Comparison of Deep Learning based Segmentation Models for Measuring Eyelid Contour of TAO Patients, IEIE, 2022 2022.03.-2024.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea 2021.02.-2022.02. Security Solution Operator, SK Shieldus., Seoul, Korea |
|
|
Geonil Yun E: rjsdlf45 at gmail.com 2023.10.- AI Research Engineer, Muhayu, Seoul, Korea (Alternative Military Service) M.Sc. First (4) Hypert: Hypernymy-aware BERT with Hearst Pattern Exploitation for Hypernym Discovery, Journal of Big Data, 2023 M.Sc. First (1) Effective Hypernym Discovery Method based on Masked Language Modeling with Hearst Patterns, Master's Thesis, 2023 M.Sc. First (2) Software Hypernym discovery program using pre-trained language model, C-2023-022651, 2023 M.Sc. First (2) Proceeding Improved Phrase Embedding for Hypernym Relation Discovery, ICEIC, 2023 M.Sc. First (2) Software Hypernym discovery program based-on projection learning, C-2022-035371, 2022 M.Sc. Training Link Advanced Online & Onsite Course on Data Science & Machine Learning, University of Catania, Online, 2022 M.Sc. 2nd Prize Link B-cell epitope (linear peptide) prediction, 2022 AI Graduate School Challenge, 2022 M.Sc. First (2) Proceeding Comparison of word2vec-based Methods for Hypernym Discovery, IEIE, 2022 M.Sc. Co (4/6) Software Machine data classification program using multimodal learning, C-2022-023745, 2022 M.Sc. First (6) Software Real-time scene text recognition AI program for embedded board, C-2022-021581, 2022 M.Sc. First (6) Software Security sentence classification program using artificial intelligence language model, C-2022-021580, 2022 M.Sc. Co (5/6) Software Automatic segmentation program for major structures in the orbit for inferring thyroid ophthalmopathy, C-2021-040761, 2021 2022.01.-2022.02. Intern, S2W Inc., Seongnam, Korea 2021.09.-2023.08. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Sung-Hyun Cho E: saintcho94 at gmail.com 2026.05.- Data Scientist, Oxford DataPlan, London, UK 2024.10.-2026.04. Data Scientist, Living Optics, Oxfordshire, UK 2024.07.-2024.09. Intern (Hyperspectral Image), Living Optics, Oxford, UK M.Sc. Co (2/4) A Short Survey and Comparison of CNN-based Music Genre Classification using Multiple Spectral Features, IEEE Access, 2024 M.Sc. Co (6/11) Analysis of ultrasonographic images using a deep learning-based model as ancillary diagnostic tool for diagnosing gallbladder polyps, Digestive and Liver Disease, 2023 M.Sc. First (1) A study on Effective Music Genre Classification based on Multiple Spectral Features using Convolutional Neural Networks, Master's Thesis, 2023 M.Sc. First (3) Proceeding Effective Music Genre Classification using Late Fusion Convolutional Neural Network with Multiple Spectral Features ICCE-Asia, 2022 M.Sc. Training Link Advanced Online & Onsite Course on Data Science & Machine Learning, University of Catania, Siena, Italy, 2022 M.Sc. First (2) Proceeding Music Genre Classification Using Multiple Musical Visual Features, IEIE, 2022 M.Sc. Co (3/6) Software Machine data classification program using multimodal learning, C-2022-023745, 2022 M.Sc. Co (4/6) Software Real-time scene text recognition AI program for embedded board, C-2022-021581, 2022 M.Sc. Co (2/5) Toward a Fair Evaluation and Analysis of Feature Selection for Music Tag Classification, IEEE Access, 2021 M.Sc. Co (2/3) Proceeding Music Genre Classification using CNN architecture with feature concatenation, KISS Autumn Conf, 2021 M.Sc. Co (3/6) Proceeding An Efficient Neural Network based on Early Compression of Sparse CT Slice Images, PlatCon, 2021 M.Sc. Co (3/6) Software Automatic segmentation program for major structures in the orbit for inferring thyroid ophthalmopathy, C-2021-040761, 2021 M.Sc. Co (3/6) Software Channel Compression Neural Network for Computed Tomography Image Analysis, C-2021-027593, 2021 2021.03.-2023.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
Tae-Won Lee E: leetee95 at gmail.com 2023.07.- ML Engineer/Fab QA, Quality Assurance, DB Hitek, Eumseong, Korea M.Sc. First (1) A study on Stock Direction Prediction based on Multimodal Transformer, Master's Thesis, 2023 M.Sc. First (3) Proceeding Analysis on data fusion method for stock direction prediction, ICEIC, 2023 M.Sc. First (3) Exploitation of Macroeconomic Indicators for Stock Direction Classification using the Multimodal Fusion Transformer, IEEE Access, 2023 M.Sc. Training Link Advanced Online & Onsite Course on Data Science & Machine Learning, University of Catania, Online, 2022 M.Sc. Silver Prize Link Ubiquant Market Prediction Challenge, Kaggle, 2022 M.Sc. 3rd Prize Link B-cell epitope (linear peptide) prediction, 2022 AI Graduate School Challenge, 2022 M.Sc. First (2) Proceeding A Study on Prediction of Neural Network Stock Direction Using Technical Indicators, IEIE, 2022 M.Sc. Co (4/6) Software Security sentence classification program using artificial intelligence language model, C-2022-021580, 2022 M.Sc. Co (4/6) Proceeding An Efficient Neural Network based on Early Compression of Sparse CT Slice Images, PlatCon, 2021 M.Sc. Co (4/6) Software Automatic segmentation program for major structures in the orbit for inferring thyroid ophthalmopathy, C-2021-040761, 2021 M.Sc. Co (4/6) Software Channel Compression Neural Network for Computed Tomography Image Analysis, C-2021-027593, 2021 2021.03.-2023.02. M.Sc. Course, Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea |
|
|
|
Min-Woo Park E: mwpark1711 at gmail.com 2024.12.- Senior Researcher, SandsLab, Gwacheon, Korea 2022.08.-2024.11. Career Hidden due to Privacy Issue M.Sc. Co (2/4) Effective Memetic Algorithm for Multilabel Feature Selection using Hybridization based Communication, Expert Systems with Applications, 2022 M.Sc. First (1) A Study on Effective Multi-population Genetic Algorithm for Multi-label Feature Selection, Master's Thesis, 2020 M.Sc. Co (2/4) Multi-population Genetic Algorithm for Multilabel Feature Selection based on Label Complementary Communication, Entropy, 2020 2019.03.-2021.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Jin-Hyeong Park E: jhpark.4745 at gmail.com 2020.12.- AI Research Engineer, Neowiz, Seongnam, Korea (Alternative Military Service) M.Sc. Co (2/4) Multilabel Naive Bayes Classification Considering Label Dependence, Pattern Recognition Letters, 2020 M.Sc. Silver Prize Link University of Liverpool - Ion Switching, Kaggle Research Prediction Competition, 2020 2020.03.-2021.02. Full-time Researcher, Industry Academic-Cooperation Foundation, Chung-Ang University, Seoul, Korea M.Sc. First (1) Effective Front-end Architecture Search for Random Weight Network on Edge Device, Master's Thesis, 2020 M.Sc. Co (3/4) Compact Feature Subset-based Multi-label Music Categorization for Mobile Devices, Multimedia Tools and Applications, 2019 2018.03.-2020.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Hae-Cheon Kim
E: code.bug.station at gmail.com 2020.01.- AI Research Engineer, Kakao Brain Corp., Seongnam, Korea M.Sc. First (4) Multilabel Naive Bayes Classification Considering Label Dependence, Pattern Recognition Letters, 2020 M.Sc. First (1) Effective Multi-label Text Categorization using Pairwise Topic Dependency, Master's Thesis, 2020 M.Sc. Co (3/4) Competitive Particle Swarm Optimization for Multi-Category Text Feature Selection, Entropy, 2019 2018.03.-2020.02. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |
|
Curriculum Vitae |
Injun Yu
E: injun.cau at gmail.com 2023.09.- AI Research Engineer, Hanwha Momentum, Seongnam, Korea 2020.05.-2023.08. Career Hidden due to Privacy Issue M.Sc. Co (2/4) Memetic Feature Selection for Multilabel Text Categorization using Label Frequency Difference, Information Sciences, 2019 M.Sc. First (1) Hybrid Feature Selection Technique for Multi-label Text Mining, Master's Thesis, 2018 2016.09.-2018.08. M.Sc. Course, School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea |