About Me

Hello. I’m Charmgil Hong.

I am an assistant professor in the School of Computer Science and Electrical Engineering at Handong Global University, Korea. My research interests include developing and applying machine learning and data mining techniques to address large and complex data-driven problems. Before joining Handong, I had the privilege of studying under the guidance of Dr. Milos Hauskrecht and earning my PhD at the University of Pittsburgh.

• Research group: Handong Artificial Intelligence Lab. (HAIL)

Teaching

• ITP40010 Machine Learning
• ECE30030/ITP30010 Database System
• ECE20010/ITP20001 Data Structures
• ITP20004 Open-source Software Labs
• ECE10020 Intro to Engineering Design
• ECE10003 C Programming Labs
• ECE10002 C Programming

Research Interest

Recent years, I have been primarily working on: (1) Machine learning with different modalities; (2) Outlier detection and video anomaly detection; and (3) Applications of (1) and (2) to the medical and industrial domains.

I am also interested in: (4) AI/ICT for Korean unification and the development of third world countries.

Refereed Publications

International venues

• Harim Kim, Chang Ha Lee, Charmgil Hong. Transformer for Point Anomaly Detection. ACM International Conference on Information and Knowledge Management (CIKM). 2024. (to appear)
• Jaemin Jung, Soonyong Park, Harim Kim, Chang Ha Lee, Charmgil Hong. Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review. International Joint Conference on Artificial Intelligence (IJCAI) Demo Track. 2024. Paper Code Video 1 Video 2
• Harim Kim, Minchae Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong. AREST: Attention-Based Red-Light Violation Detection for Safety Technology. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). 2024. Best Paper Award
• Harim Kim, Chang Ha Lee, Charmgil Hong. VATMAN: Video Anomaly Transformer for Monitoring Accidents and Nefariousness. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). 2024. Poster
• Geonyeong Choi, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Drug Induced Liver Injury Prediction with Injective Molecular Transformer. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2023. Paper
• Geonyeong Choi, Hyunwoo Yook, Jeong-Woo Han, Charmgil Hong. AWS: GNNs that Aggregate with Self-node Representation for Dehydrogenation Enthalpy Prediction. Asian Conference on Intelligent Information and Database Systems (ACIIDS). 2023. Paper
• Harim Kim, Chang Ha Lee, Charmgil Hong. Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder-Based Support Vector Data Description. Asian Conference on Intelligent Information and Database Systems (ACIIDS). 2023. Paper
• Kyungmin Lee, Charmgil Hong, Eun-Ho Lee, WooHo Yang. Comparison of artificial intelligence methods for prediction of mechanical properties. IOP Conference Series: Materials Science and Engineering. 2020. Paper
• Gaurav Trivedi, Charmgil Hong, Esmaeel R. Dadashzadeh, Robert M. Handzel, Harry Hochheiser, Shyam Visweswaran. Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. International Journal of Medical Informatics. 2019. Paper
• Charmgil Hong, Milos Hauskrecht. Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data. International Florida Artificial Intelligence Research Society Conference (FLAIRS). 2018. Paper
• Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont. Outlier-based detection of unusual patient-management actions: An ICU study. Journal of Biomedical Informatics. 2016. Paper
• Charmgil Hong, Milos Hauskrecht. Multivariate Conditional Outlier Detection and Its Clinical Application. AAAI Conference on Artificial Intelligence (AAAI) Student Abstract. 2016. Paper
• Charmgil Hong, Milos Hauskrecht. Multivariate Conditional Anomaly Detection and Its Clinical Application. AAAI Conference on Artificial Intelligence (AAAI) Doctoral Consortium. 2015. Paper Slides Poster
• Charmgil Hong, Iyad Batal, Milos Hauskrecht. A Generalized Mixture Framework for Multi-label Classification. SIAM International Conference on Data Mining (SDM). 2015. Paper Slides Poster Code
• Charmgil Hong, Iyad Batal, Milos Hauskrecht. A Mixtures-of-Trees Framework for Multi-Label Classification. ACM International Conference on Information and Knowledge Management (CIKM). 2014. Paper Code
• Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht. An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SIAM International Conference on Data Mining (SDM). 2014. Paper
• Iyad Batal, Charmgil Hong, Milos Hauskrecht. An efficient probabilistic framework for multi-dimensional classification. ACM International Conference on Information and Knowledge Management (CIKM). 2013. Paper Slides Code

Domestic venues

• Harim Kim, Yeseul Kim, Yohan Sohn, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Prediction of Drug-Induced Liver Injuries Using Transformer. KIISE Transactions on Computing Practices (KTCP). 2024. (in press)
• Jihyeon Song, Soon Sun Kim, Ji Eun Han, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. Improving Prediction of Chronic Hepatitis B TreatmentResponse Using Molecular Embedding. Journal of KIISE. 2024. Paper
• Geonyeong Choi, Hyunwoo Yook, Jeong-Woo Han, Charmgil Hong. Prediction of Dehydrogenation Enthalpy Using Graph Isomorphism Network. Journal of KIISE. 2024. Paper
• Jihyun Moon, Seong Kyung Kim, Hee Song Kim, Soon Sun Kim, Ji Eun Han, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. Prediction of Drug Adverse Reactions in Chronic Hepatitis B Patients Using FT-Transformer. Korea Computer Congress (KCC). 2024.

• Jae Geun Jang, Ye Jun Kim, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Analysis of 5-Year Hepatocellular Carcinoma Prediction Models for Chronic Hepatitis B Patients. Korea Software Congress (KSC). 2023. Best Student Paper Award Paper
• Chanju Lee, Hyungyu Choi, Charmgil Hong. Generation of Parallel Corpus for South and North Korean Languages and Its Application to Neural Machine Translation. Korea Software Congress (KSC). 2023. Paper
• Hanyoung Jeong, Seokjun Kim, Yeongseo Go, Hyemin Shin, Taewoo Kim, Kyujin Cho, Charmgil Hong. Real-World BMS Signal-Based Driving Range Prediction for Electric Vehicles. Korea Software Congress (KSC). 2023. Best Student Paper Award Paper
• Minchae Kim, Seohwee Park, Hyunmuk Kang, Youngkwang Ko, Youngmin Kim, Soeun Shin, Chang Ha Lee, Charmgil Hong. A Benchmark Test of 3-Dimensional Convolutional Neural Networks on Video Action Recognition. Korea Software Congress (KSC). 2023. Paper
• Harim Kim, Yeseul Kim, Yohan Sohn, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Prediction of Drug-Induced Liver Injuries Using Transformer. Korea Software Congress (KSC). 2023. Best Presentation Award Paper
• Jihyeon Song, Soon Sun Kim, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. An Improved Prediction of Antiviral Treatment Response in Chronic Hepatitis B Using Molecular Graph Embeddings. Korea Computer Congress (KCC). 2023. Best Paper Award Paper
• Seokjun Kim, Hanyoung Jeong, Doohee Chung, Charmgil Hong. Demand Forecasting Using SHAP Analysis and Cluster-Based Transfer Learning. Korea Computer Congress (KCC). 2023. Best Student Paper Award Paper

• Dulguun Dorjlkham, Juwon Baek, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Min Seo Shim, Kyoung Jin Lee, Tae Hyun Kim, Chi Yong Ban, Charmgil Hong. Predicting In-Hospital Drug-Induced Liver Injuries Using Long-Short Term Memory. Korea Software Congress (KSC). 2022. Paper
• Geonyeong Choi, Charmgil Hong. Ensemble of Graph Neural Networks for Predicting Drug Induced Liver Injuries. Korea Computer Congress (KCC). 2022. Paper
• Harim Kim, Charmgil Hong. Outlier Detection-Based Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder. Korea Computer Congress (KCC). 2022.
• Jihyeon Song, Charmgil Hong. Treatment Response Prediction for Hepatitis B Infection Using GRU-D. Korea Computer Congress (KCC). 2022. Paper
• Jihyoung Jang, Charmgil Hong. Automated Topic Classification of the News Articles on North Korea and Korean Unification. Korea Computer Congress (KCC). 2022. Best Student Paper Award Paper

• Hangyel Sun, Myeonghee Lee, Charmgil Hong, Injung Kim. Vehicle Image Data Augmentation by GAN-based Viewpoint Transformation. Journal of KIISE. 2021. Paper
• Hyoyoung Seok, Wanseo Jo, Charmgil Hong. Pancreatic Cancer Risk Prediction Using Bayesian Networks. Korea Computer Congress (KCC). 2021. Best Student Paper Award Paper
• Jongmin Lee, Hyoyoung Seok, Charmgil Hong. Pancreatic Cancer Risk Analysis with Non-linear Cox Proportional Hazard Models. Korea Computer Congress (KCC). 2021. Paper
• Junhyung Kim, Byungyoon Park, Charmgil Hong. Multi-Label Classification with Auxiliary Features from 1D-CNN. Korea Computer Congress (KCC). 2021. Paper

• Joowon Park, Pyeonggang Kim, Jaewon Kim, Charmgil Hong. Methodology for Automatic Firearm Detection Model Generation Using YOLOv4. Korea Software Congress (KSC). 2020. Paper
• Seong Min Lee, Chan Kyung Kim, Gi Cheol Kim, Charmgil Hong. Faint Detection in Surveillance Videos Using an Outlier Detection Approach. Korea Software Congress (KSC). 2020. Paper
• Hyeyoung Kim, Miso Kim, Eunji Won, Charmgil Hong. A Case of Study on the Design and Implementation of a Big Data Search Engine for North Korea and Unification Literature. Korea Computer Congress (KCC). 2020. Paper
• Jun Hyung Kim, Charmgil Hong. An Application of a Deep Hazard Model on Cancer Risk Prediction. Korea Computer Congress (KCC). 2020. Paper
• Byungyoon Park, Joonyoung Choi, Charmgil Hong. A Functional Extension of an Open-Source Software for Structured Multi-Label Classification. Korea Computer Congress (KCC). 2020. Best Student Paper Award Paper Code
• Inhee Kwak, Jihee (Eunsol) Park, Charmgil Hong. Analysis of the Relation Between Solar Wind and the Disturbance of the Geomagnetic Field. Korea Computer Congress (KCC). 2020. Paper
• Byung-Un Jeong, Ji-Won Kim, Charmgil Hong. Design of Machine Learning and Augmented Reality-Based Personal Color Diagnostic System. Spring Conference of Korea Entertainment Industry Association. 2020. Best Paper Award Paper

Workshops/Symposiums

• Harim Kim, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Personalized Prediction of Drug-Induced Liver Injury Using the Transformer Architecture. The Liver Week (TLW) 2024. Best Presentation Award
• Ye Jun Kim, Jae Geun Jang, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Analysis of a Machine Learning-Based Predictive Model for Hepatocellular Carcinoma in Chronic Hepatitis B Patients. The Liver Week (TLW) 2024.
• Geonyeong Choi, Charmgil Hong. Analysis of Drug Inducing Liver Injury: A Graph-Based Machine Learning Approach. The Liver Week (TLW) 2024.
• Ye Jun Kim, Jae Geun Jang, Soon Sun Kim, Jae Youn Cheong, Charmgil Hong. Analysis of a Machine Learning-Based Predictive Model for Hepatocellular Carcinoma in Chronic Hepatitis B Patients. Korean Society of Medical Informatics, Spring. 2024.
• Harim Kim, Minchae Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong. Red-Light Violation Detection Using Attention Mechanism in Dashcam Footage. Korea Multimedia Society, Spring. 2024.
• Hyesun Chun, Haeun Yoon, Ahhyun Kum, Chanju Lee, Hyungyu Choi, Charmgil Hong. Development of a Korean Parallel Corpus and a Machine Translation Model for South and North Korean. Korea Multimedia Society, Spring. 2024. Best Paper Award
• Chaewon Kim, Seeun Park, Harim Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong. A Method for Lane Recognition and Departure Detection Using Dashcam Videos. Korea Multimedia Society, Spring. 2024. Best Paper Award

• Hasung Cho, Hyeyoon Jung, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Improving in Adverse Effects Predictions Induced by Long-Term Antiviral Therapy for Chronic Hepatitis B Patients Using Drug Ontologies. Korean Society of Medical Informatics, Fall. 2023.
• Jihyun Moon, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Analysis of Variable Importance Using Machine Learning for Predicting Adverse Drug Reactions in Patients with Chronic Hepatitis B. Korean Society of Medical Informatics, Spring. 2023.
• Myeong Ju Lim, Min Ji Park, Eunsol Park, Jae Youn Cheong, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Charmgil Hong. Predicting Abnormal Liver Enzyme Levels in Antiviral Patients Using a Multi-Layer Bidirectional Long Short-Term Memory Architecture. Korean Society of Medical Informatics, Spring. 2023.
• Jihyeon Song, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Improving the Predictive Accuracy of Antiviral Response for Chronic Hepatitis B Patients Using Molecular Graph Representation. Korean Society of Medical Informatics, Spring. 2023.

• Harim Kim, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. Lenvatinib Efficacy Prediction Using Liver CT Images and a Pre-trained 3D-CNN. Korean Society of Medical Informatics, Fall. 2022.
• Juwon Baek, Geonyeong Choi, Jae Youn Cheong, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Min-Seo Shim, Charmgil Hong. Development of Drug Induced Liver Injury Prediction Model Based on Electronic Medical Record and Machine Learning. Korean Society of Medical Informatics, Fall. 2022.
• Jihee (Eunsol) Park, Byung-Ho Nam, Charmgil Hong. Prediction of Pancreatic Cancer Risk Using Deep Survival Analysis Models. Korean Society of Medical Informatics, Fall. 2022.
• Geonyeong Choi, Jae Youn Cheong, Hyo Jung Cho, Soon Sun Kim, Hyewon Jo, Charmgil Hong. Learning Molecular Embeddings for the Prediction of Drug Induced Liver Injury Using Graph Neural Networks. Korean Society of Medical Informatics, Spring. 2022. Best Paper Award
• Jihyeon Song, Jae Youn Cheong, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Min-Seo Shim, Kyoung Jin Lee, Chi Yong Ban, Charmgil Hong. Prediction of Antiviral Treatment Response in Chronic Hepatitis B Using Machine Learning. Korean Society of Medical Informatics, Spring. 2022.
• Sueun Park, Hyoyoung Seok, Jae Youn Cheong, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Min-Seo Shim, Kyoung Jin Lee, Chi Yong Ban, Charmgil Hong. Prediction of Adverse Effects Induced by Long-Term Antiviral Therapy for Chronic Hepatitis B. Korean Society of Medical Informatics, Spring. 2022.
• Harim Kim, Charmgil Hong. Trespass Detection in Surveillance Videos Using VAE-SVDD with 3D-CNN. Korea Multimedia Society, Spring. 2022. Best Capstone Project in AI Award
• Da Hee Han, Ju Young Kwon, Charmgil Hong. Identifying Strange Behaviors in Surveillance Videos Using 3D CNN and Statistical Outlier Detection. Korea Multimedia Society, Spring. 2022.
• Dokyeong Lee, Charmgil Hong. Abnormal Behavior Detection and Visualization on Surveillance Videos. Korea Multimedia Society, Spring. 2022.
• Hyunmuk Kang, Youngkwang Ko, Youngmin Kim, Seohwee Park, Soeun Shin, Charmgil Hong. Literature Survey on 3D CNN Models for Video Action Recognition. Korea Multimedia Society, Spring. 2022.
• Hoyoon Choi, Charmgil Hong. Neural Machine Translation Using South Korean-North Korean Parallel Corpus. Korea Multimedia Society, Spring. 2022.
• Seong Min Lee, Chan Kyung Kim, Gi Cheol Kim, Charmgil Hong. Automatic Detection Software Design for Anomalous Behavior in Surveillance Videos Using 3-Dimensional Convolutional Network. Korea Multimedia Society, Summer. 2020.

• Charmgil Hong, Siqi Liu, Milos Hauskrecht. Detection of Unusual Input-Output Associations. SIAM Workshop on Dimension Reduction. 2017.
• Charmgil Hong, Rumi Ghosh, Soundar Srinivasan. Dealing with Class Imbalance Using Thresholding. KDD 2016 Workshop on Outlier Definition, Detection, and Description on Demand. 2016. Paper
• Charmgil Hong, Milos Hauskrecht. Analysis of Temporal Clinical Patterns using Hidden Markov Models. ICML 2012 Workshop on Clinical Data Analysis. 2012. Paper Poster

Articles

• Charmgil Hong, Chanju Lee, Minjoo Shin, Jeongyeon Yoo. KUBiC: Korean Unification Bigdata Center. The Magazine of the IEIE. 2024. Paper

Dissertation

• Multivariate Data Modeling and Its Applications to Conditional Outlier Detection. Doctoral Dissertation, University of Pittsburgh. 2017. Link

Intellectual Property

Patents

• R. Ghosh, C. Hong, and S. Srinivasan. “Value Addition Dependent Data Mining Techniques for Assembly Lines.” US Patent Application No. 15/342,677.
• “Personal Color Diagnosis Method and System Based on Machine Learning and Augmented Reality (머신러닝 및 증강현실 기반의 퍼스널 컬러 진단 방법 및 시스템).” Korean Patent No. 10-2425873
• “Demand Forecasting Method Using Optimization Techniques (최적화 기법을 이용한 수요 예측 방법).” No. 10-2023-0109200 (pending)
• “Real-Data-Based Method for Predicting Electric Vehicle Driving Range Using Telematics and BMS Data (전기자동차의 텔레매틱스 데이터 및 BMS 데이터를 활용한 실데이터 기반 전기자동차 주행 가능거리 예측 방법).” No. 10-2023-0125081 (pending)
• “Prediction Method Using Pre-Training and Transfer Learning and a Target Prediction Framework for Performing the Method (사전학습 및 전이학습을 이용한 타겟 예측 방법 및 이를 수행하는 타겟 예측 프레임워크).” No. 10-2023-0172099 (pending)
• “Dashcam Video Analysis Network for Enhanced Safe Driving (안전운전 강화를 위한 블랙박스 영상 분석 네트워크).” No. 10-2023-0185288 (pending)
• “Device and Method for Predicting Side Effects of Hepatitis B Antiviral Drugs (B형 간염 항바이러스제 부작용 예측 장치 및 그 방법).” No. 10-2024-0020843 (pending)

Invention disclosures

• C. Hong, D. Fradkin, and A. Chakraborty. “Multi-Target Regression Using Canonical Correlation Analysis.” Invention disclosure No. 2015E16593US, Siemens.
• H. Hochheiser, S. Visweswaran, G. Trivedi, C. Hong, R. Handzel, and E. Dadashzadeh. “Automation of Useful Secondary Findings From Radiology and Pathology Reports.” Invention disclosure No. 04737, University of Pittsburgh.
• M. Hauskrecht, G. Clermont, G. F. Cooper, S. Malakouti, C. Hong, Z. Luo, M. P. Barren, and S. Liu. “Real-time Clinical Monitoring and Alerting System.” Invention disclosure No. 04995, University of Pittsburgh.

Contact

• (first_name)@handong.edu
• LinkedIn: charmgil

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