Han Kyul Kim

According to our database, Han Kyul Kim authored at least 21 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

BeShift: Behavior-informed data augmentation for robust and fair deep knowledge tracing under distributional shifts.

Han Kyul Kim, Stephen Lu

Knowl. Based Syst., 2026

Fine-Tuning or In-Context Learning? Understanding Their Trade-offs in Misinformation Detection.

Han Kyul Kim, Shriniwas Nayak, Andy Skumanich

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

EILEEN: A Multi-Modal Framework for Extracting Alcohol Consumption Patterns From Bilingual Clinical Notes.

Han Kyul Kim, Yujin Park, Yoon Ji Kim, Seungag Yi, Yeju Park, Sujin So, Hyeonji Lee, Ye Seul Bae

IEEE Access, 2025

Imminent Dangers of Misinformation in Social Media Generated from Unmoderated LLMs.

Han Kyul Kim, Andy Skumanich

Proceedings of the IEEE International Conference on Data Mining, 2025

Understanding and Generating Student Questions with LLMs in Collaborative Learning.

Han Kyul Kim, Shriniwas Nayak, Aleyeh Roknaldin, Stephen Lu

Proceedings of the IEEE International Conference on Big Data, 2025

Performance Gap-Aware Distributionally Robust Optimization for Fair Deep Knowledge Tracing.

Han Kyul Kim, Stephen Lu

Proceedings of the IEEE International Conference on Big Data, 2025

Whose Line is it Anyway? Linguistic Attribution of Misinformation from Mainstream and Fringe LLMs.

Han Kyul Kim, Ankur Garg, Hansea Kim, Eunjeong Joo, Andy Skumanich

Proceedings of the IEEE International Conference on Big Data, 2025

Toward a Capture-Track-Respond Framework: A Survey of Data-Driven Methods for Countering LLM-Generated Misinformation.

Han Kyul Kim, Andy Skumanich

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

Generalized zero-shot learning for classifying unseen wafer map patterns.

Han Kyul Kim, Jaewoong Shim

Eng. Appl. Artif. Intell., 2024

Modes of Analyzing Disinformation Narratives With AI/ML/Text Mining to Assist in Mitigating the Weaponization of Social Media.

Andy Skumanich, Han Kyul Kim

CoRR, 2024

Time Series Analysis of Key Societal Events as Reflected in Complex Social Media Data Streams.

Andy Skumanich, Han Kyul Kim

CoRR, 2024

Exploring the Impact of ChatGPT on Student Interactions in Computer-Supported Collaborative Learning.

Han Kyul Kim, Shriniwas Nayak, Aleyeh Roknaldin, Xiaoci Zhang, Marlon Twyman, Stephen Lu

CoRR, 2024

Multimodal Deep Learning for Classifying Student-generated Questions in Computer-supported Collaborative Learning.

Han Kyul Kim, Aleyeh Roknaldin, Shriniwas Nayak, Aditya Chavan, Stephen Lu

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Methods for Addressing the Societal Challenges of Malicious Narratives in Social Media Using AI/ML Analysis: a Case Study of Hate Speech.

Andy Skumanich, Han Kyul Kim

Proceedings of the IEEE International Conference on Big Data, 2024

Active Learning for Practical Misinformation Classification in Social Media: a Case Study on COVID-19.

Han Kyul Kim, Andy Skumanich

Proceedings of the IEEE International Conference on Big Data, 2024

Enhancing Predictive Fairness in Deep Knowledge Tracing with Sequence Inverted Data Augmentation.

Han Kyul Kim, Stephen Lu

Proceedings of the IEEE International Conference on Big Data, 2024

Modes of Tracking Mal-Info in Social Media with AI/ML Tools to Help Mitigate Harmful GenAI for Improved Societal Well Being.

Andy Skumanich, Han Kyul Kim

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

Identifying Alcohol-Related Information From Unstructured Bilingual Clinical Notes With Multilingual Transformers.

Han Kyul Kim, Yujin Park, Yeju Park, Eunji Choi, Sodam Kim, Hahyun You, Ye Seul Bae

IEEE Access, 2023

2020

Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling.

Hyunjoong Kim, Han Kyul Kim, Sungzoon Cho

Expert Syst. Appl., 2020

2019

Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application.

Hyunjoong Kim, Han Kyul Kim, Misuk Kim, Jooseoung Park, Sungzoon Cho, Keyng Bin Im, Chang Ryeol Ryu

Comput. Ind. Eng., 2019

2017

Bag-of-concepts: Comprehending document representation through clustering words in distributed representation.

Han Kyul Kim, Hyunjoong Kim, Sungzoon Cho

Neurocomputing, 2017