
International Journal
Publications
- Son, S., Park, C., Lee, J., Shim, M., Lee, C., Jang, Y., … & Lim, H. (2025). An analysis on language transfer of pre-trained language model with cross-lingual post-training. Expert Systems with Applications, 267, 125841.
- Son, S., Lim, J., Koo, S., Kim, J., Kim, Y., Lim, Y., … & Lim, H. (2024). A large-scale dataset for korean document-level relation extraction from encyclopedia texts. Applied Intelligence, 54(17), 8681-8701.
- Moon, H., Kang, M., Seo, J., Eo, S., Park, C., Yang, Y., & Lim, H. (2024). Exploiting Hanja-based Resources in Processing Korean Historic Documents written by Common Literati. IEEE Access.
- Park, C., Koo, S., Kim, G., & Lim, H. (2024). Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction. Applied Sciences, 14(8), 3195.
- Kim, J., Koo, S., & Lim, H. (2023). A Multi-Faceted Exploration Incorporating Question Difficulty in Knowledge Tracing for English Proficiency Assessment. Electronics, 12(19), 4171.
- Kim, J., Kim, G., Son, J., & Lim, H. (2023). Prompt language learner with trigger generation for dialogue relation extraction. Applied Sciences, 13(22), 12414.
- Jung, D., Park, C., Eo, S., & Lim, H. (2023). Enhancing Machine Translation Quality Estimation via Fine-Grained Error Analysis and Large Language Model. Mathematics, 11(19), 4169.
- Koo, S., Park, C., Lee, S., Seo, J., Eo, S., Moon, H., & Lim, H. (2023). Uncovering the Risks and Drawbacks Associated with the Use of Synthetic Data for Grammatical Error Correction. IEEE Access.
- Lim, J., Whang, T., Lee, D., & Lim, H. (2023). Adaptive Multi-Domain Dialogue State Tracking on Spoken Conversations. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
- Lee, S., Lee, J., Moon, H., Park, C., Seo, J., Eo, S., … & Lim, H. (2023). A survey on evaluation metrics for machine translation. Mathematics, 11(4), 1006.
- Moon, H., Park, C., Koo, S., Lee, J., Lee, S., Seo, J., … & Lim, H. (2023). Doubts on the reliability of parallel corpus filtering. Expert Systems with Applications, 233, 120962.
- Koo, S., Park, C., Seo, J., Lee, S., Moon, H., Lee, J., & Lim, H. (2022). K-nct: Korean neural grammatical error correction gold-standard test set using novel error type classification criteria. IEEE Access, 10, 118167-118175.
- Seo, J., Moon, H., Lee, C., Eo, S., Park, C., Kim, J., … & Lim, H. (2022). Plain template insertion: korean-prompt-based engineering for few-shot learners. IEEE Access, 10, 107587-107597.
- Park, C., Seo, J., Lee, S., Lee, C., & Lim, H. (2022). The ASR Post-Processor Performance Challenges of BackTranScription (BTS): Data-Centric and Model-Centric Approaches. Mathematics, 10(19), 3618.
- Oh, D., Lim, J., Park, K., & Lim, H. (2022). Semantic Representation Using Sub-Symbolic Knowledge in Commonsense Reasoning. Applied Sciences, 12(18), 9202.
- Oh, D., Lim, J., & Lim, H. (2022). Neuro-Symbolic Word Embedding Using Textual and Knowledge Graph Information. Applied Sciences, 12(19), 9424.
- Seo, J., Oh, D., Eo, S., Park, C., Yang, K., Moon, H., … & Lim, H. (2022). PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge. Knowledge-Based Systems, 256, 109861.
- Kang, M., Seo, J., Park, C., & Lim, H. (2022). Utilization strategy of user engagements in korean fake news detection. IEEE Access, 10, 79516-79525.
- Lee, J., Moon, H., Park, C., Seo, J., Eo, S., & Lim, H. (2022). BERTOEIC: Solving TOEIC problems using simple and efficient data augmentation techniques with pretrained transformer encoders. Applied Sciences, 12(13), 6686.
- Park, C., Shim, M., Eo, S., Lee, S., Seo, J., Moon, H., & Lim, H. (2022). Empirical analysis of parallel corpora and in-depth analysis using LIWC. Applied Sciences, 12(11), 5545.
- Son, J., Moon, H., Lee, J., Lee, S., Park, C., Jung, W., & Lim, H. (2022). AI for patents: A novel yet effective and efficient framework for patent analysis. IEEE Access, 10, 59205-59218.
- Moon, H., Lee, T., Seo, J., Park, C., Eo, S., Aiyanyo, I. D., … & Park, K. (2022). Return on Advertising Spend Prediction with Task Decomposition-Based LSTM Model. Mathematics, 10(10), 1637.
- Jeong, S., Oh, D., Park, K., & Lim, H. (2022). Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning. Applied Sciences, 12(9), 4099.
- Kim, G., Lee, S., Park, C., & Jo, J. (2022). AI student: A machine reading comprehension system for the Korean college scholastic ability test. Mathematics, 10(9), 1486.
- Eo, S., Park, C., Moon, H., Seo, J., & Lim, H. (2022). Word-level quality estimation for Korean-English neural machine translation. IEEE Access, 10, 44964-44973.
- Seo, J., Lee, T., Moon, H., Park, C., Eo, S., Aiyanyo, I. D., … & Park, J. (2022). Dense-to-question and sparse-to-answer: Hybrid retriever system for industrial frequently asked questions. Mathematics, 10(8), 1335.
- Park, C., Go, W. Y., Eo, S., Moon, H., Lee, S., & Lim, H. (2022). Mimicking infants’ bilingual language acquisition for domain specialized neural machine translation. IEEE Access, 10, 38684-38693.
- Moon, H., Park, C., Seo, J., Eo, S., & Lim, H. (2022). An automatic post editing with efficient and simple data generation method. IEEE Access, 10, 21032-21040.
- Kim, G., Son, J., Kim, J., Lee, H., & Lim, H. (2021). Enhancing Korean named entity recognition with linguistic tokenization strategies. IEEE Access, 9, 151814-151823.
- Lee, S., Yang, K., Park, C., Sedoc, J., & Lim, H. (2021). Who speaks like a style of vitamin: Towards syntax-aware dialogue summarization using multi-task learning. IEEE Access, 9, 168889-168898.
- Jeon, B. U., & Chung, K. (2022). CutPaste-Based Anomaly Detection Model using Multi Scale Feature Extraction in Time Series Streaming Data. KSII Transactions on Internet & Information Systems, 16(8).
- Lee, S., Park, C., Seo, J., & Lim, H. (2022). Error Analysis of Recent Conversational Agent-based Commercialization Education Platform. Journal of the Korea Convergence Society, 13(3), 11-22.
- Lee, S., Kim, G., & Lim, H. (2022). Verification of educational goal of reading area in Korean SAT through natural language processing techniques. Journal of the Korea Convergence Society, 13(1), 81-88.
- Lee, H., Kim, G., Hur, Y., & Lim, H. (2021). Visual thinking of neural networks: Interactive text to image synthesis. IEEE Access, 9, 64510-64523.
- Aiyanyo, I. D., Samuel, H., & Lim, H. (2021). Effects of the COVID-19 pandemic on classrooms: A case study on foreigners in South Korea using applied machine learning. Sustainability, 13(9), 4986.
- Kang, J., & Yu, H. (2021). Gpgpu task scheduling technique for reducing the performance deviation of multiple GPGPU tasks in RPC-based GPU virtualization environments. Symmetry, 13(3), 508.
- Kim, S. H., Park, K., Yoon, S., Choi, Y., Lee, S. H., & Choi, K. H. (2021). A brief online and offline (paper-and-pencil) screening tool for generalized anxiety disorder: The final phase in the development and validation of the mental health screening tool for anxiety disorders (MHS: A). Frontiers in psychology, 12, 639366.
- Park, S., Whang, T., Yoon, Y., & Lim, H. (2021). Multi-view attention network for visual dialog. Applied Sciences, 11(7), 3009.
- Kwon, S., Oh, D., & Ko, Y. (2021). Word sense disambiguation based on context selection using knowledge-based word similarity. Information Processing & Management, 58(4), 102551.
- Lee, C., Yang, K., Whang, T., Park, C., Matteson, A., & Lim, H. (2021). Exploring the data efficiency of cross-lingual post-training in pretrained language models. Applied Sciences, 11(5), 1974.
- Hur, Y., & Jo, J. (2021). Development of intelligent information system for digital cultural contents. Mathematics, 9(3), 238.
- Lee, C., Kim, Y. B., Ji, H., Lee, Y., Hur, Y., & Lim, H. (2021). On the redundancy in the rank of neural network parameters and its controllability. Applied Sciences, 11(2), 725.
- Kim, K., Park, C., Seo, J., & Lim, H. (2021). Grounded vocabulary for image retrieval using a modified multi-generator generative adversarial network. IEEE Access, 9, 144614-144623.
- Moon, H., Park, C., Eo, S., Seo, J., & Lim, H. (2021). An empirical study on automatic post editing for neural machine translation. IEEE Access, 9, 123754-123763.
- Park, J., Lee, C., Park, C., Kim, K., & Lim, H. (2021). Variational Reward Estimator Bottleneck: Towards Robust Reward Estimator for Multidomain Task-Oriented Dialogue. Applied Sciences, 11(14), 6624.
- Eo, S., Park, C., Moon, H., Seo, J., & Lim, H. (2021). Comparative analysis of current approaches to quality estimation for neural machine translation. Applied Sciences, 11(14), 6584.
- Kim, G., Son, J., Kim, J., Lee, H., & Lim, H. (2021). Enhancing Korean named entity recognition with linguistic tokenization strategies. IEEE Access, 9, 151814-151823.
- Park, S., & Kim, H. (2021). 3DPlanNet: generating 3D models from 2D floor plan images using ensemble methods. Electronics, 10(22), 2729.
- Park, S., & Kim, H. (2021). Facevae: Generation of a 3d geometric object using variational autoencoders. Electronics, 10(22), 2792.
- Kim, M. J. (2021). Pothole region extraction based on similarity evaluation scale classification using image processing. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(6), 871-877.
- Jo, J., Kim, S., Lee, K., Park, H., & Jeong, S. A Study on the Perception and Improvement of Creative-Design Course by Level.
- Park, C., Lee, C., Yang, Y., & Lim, H. (2020). Ancient Korean neural machine translation. IEEE Access, 8, 116617-116625.
- Park, C., Kim, K., Yang, Y., Kang, M., & Lim, H. (2021). Neural spelling correction: translating incorrect sentences to correct sentences for multimedia. Multimedia Tools and Applications, 80, 34591-34608.
- Park, C., Yang, Y., Lee, C., & Lim, H. (2020). Comparison of the evaluation metrics for neural grammatical error correction with overcorrection. IEEE Access, 8, 106264-106272.
- Lee, H., Jo, J., & Lim, H. (2020). Study on Optimal Generative Network for Synthesizing Brain Tumor‐Segmented MR Images. Mathematical Problems in Engineering, 2020(1), 8273173.
- Park, C., Yang, Y., Park, K., & Lim, H. (2020). Decoding strategies for improving low-resource machine translation. Electronics, 9(10), 1562.
- Kang, J., Lim, J., & Yu, H. (2020). Partial migration technique for GPGPU tasks to Prevent GPU Memory Starvation in RPC‐based GPU Virtualization. Software: Practice and Experience, 50(6), 948-972.
- Chung, K., & Yoo, H. (2020). Edge computing health model using P2P-based deep neural networks. Peer-to-Peer Networking and Applications, 13(2), 694-703.
- Choi, S. Y., & Chung, K. (2020). Knowledge process of health big data using MapReduce-based associative mining. Personal and Ubiquitous Computing, 24, 571-581.
- Jo, J., Lee, S., Lee, C., Lee, D., & Lim, H. (2020). Development of fashion product retrieval and recommendations model based on deep learning. Electronics, 9(3), 508.
- Jeakal, E., Park, K., Lee, E., Strauss, G. P., & Choi, K. H. (2020). Validation of the Brief Negative Symptom Scale in Korean patients with schizophrenia. Asia‐Pacific Psychiatry, 12(3), e12382.
- Yi, E., Lim, H., & Jo, J. (2020). Automatic Judgement of Online Video Watching: I Know Whether or Not You Watched. Mathematics, 8(10), 1827.
- Hooshyar, D., Malva, L., Yang, Y., Pedaste, M., Wang, M., & Lim, H. (2021). An adaptive educational computer game: Effects on students’ knowledge and learning attitude in computational thinking. Computers in Human Behavior, 114, 106575.
- Yang, Y., Hooshyar, D., Pedaste, M., Wang, M., Huang, Y. M., & Lim, H. (2020). Predicting course achievement of university students based on their procrastination behaviour on Moodle. Soft Computing, 24, 18777-18793.
- Hooshyar, D., Pedaste, M., Yang, Y., Malva, L., Hwang, G. J., Wang, M., … & Delev, D. (2021). From gaming to computational thinking: An adaptive educational computer game-based learning approach. Journal of Educational Computing Research, 59(3), 383-409.
- Lim, J. E., Kwon, Y. J., Jung, S. Y., Park, K., Lee, W., Lee, S. H., … & Choi, K. H. (2020). Benefits of social cognitive skills training within routine community mental health services: evidence from a non-randomized parallel controlled study. Asian journal of psychiatry, 54, 102314.
- Lee, H., Jo, J., & Lim, H. (2020). Study on Optimal Generative Network for Synthesizing Brain Tumor‐Segmented MR Images. Mathematical Problems in Engineering, 2020(1), 8273173.
- Myung, R., & Yu, H. (2020). Performance prediction for convolutional neural network on spark cluster. Electronics, 9(9), 1340.
- Lee, K. S., & Ahn, K. H. (2020). Application of artificial intelligence in early diagnosis of spontaneous preterm labor and birth. Diagnostics, 10(9), 733.
- Lee, J., & Yu, H. (2020). I/O strength-aware credit scheduler for virtualized environments. Electronics, 9(12), 2107.
- Chung, K., Yoo, H., & Choe, D. E. (2020). Ambient context-based modeling for health risk assessment using deep neural network. Journal of Ambient Intelligence and Humanized Computing, 11(4), 1387-1395.
- Kim, G., Lee, C., Jo, J., & Lim, H. (2020). Automatic extraction of named entities of cyber threats using a deep Bi-LSTM-CRF network. International journal of machine learning and cybernetics, 11, 2341-2355.
- Kim, K., Hur, Y., Kim, G., & Lim, H. (2020). GREG: A global level relation extraction with knowledge graph embedding. Applied Sciences, 10(3), 1181.
- Jwa, H., Oh, D., Park, K., Kang, J. M., & Lim, H. (2019). exbake: Automatic fake news detection model based on bidirectional encoder representations from transformers (bert). Applied Sciences, 9(19), 4062.
- Leem, S. G., Yoo, I. C., & Yook, D. (2019). Multitask learning of deep neural network-based keyword spotting for IoT devices. IEEE Transactions on Consumer Electronics, 65(2), 188-194.
- Baek, J. W., Kim, J. C., Chun, J., & Chung, K. (2019). Hybrid clustering based health decision-making for improving dietary habits. Technology and Health Care, 27(5), 459-472.
- Baek, J. W., Jung, H., & Chung, K. (2019). Context Mining based Mental Health Model for Lifecare Platform. Medico-Legal Update, 19(1).
- Suh, J. W., Lee, H. J., Yoo, N., Min, H., Seo, D. G., & Choi, K. H. (2019). A brief version of the Leahy emotional schema scale: A validation study. International Journal of Cognitive Therapy, 12, 38-54.
- Ji, H., Hooshyar, D., Kim, K., & Lim, H. (2019). A semantic-based video scene segmentation using a deep neural network. Journal of Information Science, 45(6), 833-844.
- Yang, Y., Hooshyar, D., Jo, J., & Lim, H. (2020). A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems. Journal of Ambient Intelligence and Humanized Computing, 11, 1441-1449.
- Hooshyar, D., Lee, S., Yang, Y., Jo, J., & Lim, H. (2019). Long-term effects of adaptive customization support on elderly people. Cognition, Technology & Work, 21, 371-382.
- Yang, Y., Hooshyar, D., & Lim, H. S. (2019). GPS: Factorized group preference-based similarity models for sparse sequential recommendation. Information Sciences, 481, 394-411.
- Lim, H., Hooshyar, D., Ji, H., Lee, S., & Jo, J. (2019). SmartSenior: automatic content personalization through semi-supervised learning. Wireless Personal Communications, 105, 461-473.
- Jo, J., Yu, W., Koh, K. H., & Lim, H. (2018). Development of a game-based learning judgment system for online education environments based on video lecture: Minimum learning judgment system. Journal of Educational Computing Research, 56(6), 802-825.
- Jo, J., Jun, H., & Lim, H. (2018). A comparative study on gamification of the flipped classroom in engineering education to enhance the effects of learning. Computer Applications in Engineering Education, 26(5), 1626-1640.
- Yun, Y., Hooshyar, D., Jo, J., & Lim, H. (2018). Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review. Journal of Information Science, 44(3), 331-344.
- Kim, E. J., Bahk, Y. C., Oh, H., Lee, W. H., Lee, J. S., & Choi, K. H. (2018). Current status of cognitive remediation for psychiatric disorders: a review. Frontiers in psychiatry, 9, 461.
- Ji, H., Yun, Y., Lee, S., Kim, K., & Lim, H. (2018). An adaptable UI/UX considering user’s cognitive and behavior information in distributed environment. Cluster Computing, 21, 1045-1058.
- Lee, S., Hooshyar, D., Ji, H., Nam, K., & Lim, H. (2018). Mining biometric data to predict programmer expertise and task difficulty. Cluster Computing, 21, 1097-1107.