64. Jang, B. C. (2025). Forecasting epidemic spread with recurrent graph gate fusion transformers. IEEE Journal of Biomedical and Health Informatics, 29(2), 1546-1559.
 

63. Jang, B. C. (2025). A comprehensive survey of fake text detection on misinformation and LM-generated texts. IEEE Access, 13, 25301-25324.
 

62. Jang, B. C. (2025). Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea. PLOS ONE.
 

61. Jang, B. C. (2025). Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization. PLOS ONE.
 

60. Jang, B. C. (2025). Visual question answering: A survey of methods, datasets, evaluation, and challenges. ACM Computing Surveys, 57(10), 1-39.
 

59. Jang, B. C. (2025). Efficient compressing and tuning methods for large language models: A systematic literature review. ACM Computing Surveys, 57(10), 1-39.
 

58. Lee, S. W. (2025). Content strategies to improve the performance of audio streaming services: Focusing on content genre and update features. Sage Open, 15(1).
 

57. Lee, S. W. (2025). When generative AI messes up: How politeness and attribution shape user reactions to hallucinations. International Journal of Information Management, 85.
 

56. Lee, B. G. (2025). Predicting housing price in Seoul using explainable AI (XAI) and machine learning. KSII Transactions on Internet and Information Systems, 19(4), 1077-1096.
 

55. Oh, C. (2025). Looping in: Exploring feedback strategies to motivate human engagement in interactive machine learning. International Journal of Human–Computer Interaction, 41(14), 8666-8683.
 

54. Kim, H. W. (2025). Which spoilers help or hurt? Effects of spoiler reviews on box office revenue. Asia Pacific Journal of Information Systems (forthcoming).
 

53. Kim, H. W. (2025). Hate speech detection on online news platforms: A deep-learning approach based on agenda-setting theory. Journal of Management Information Systems (forthcoming).
 

52. Kim, H. W. (2025). Unravelling long-stay tourist experiences and satisfaction: Text mining and deep learning approaches. Current Issues in Tourism, 28(3), 492-510.
 

51. Kim, H. W. (2025). Unlocking the potential of security token offerings: Addressing key challenges and fostering market development. Journal of Global Information Management, 33(1).
 

50. Kim, H. W. (2025). Estimating the monetary value of personal information on social networking sites. Electronic Commerce Research, 25(2), 1089-1114.
 

49. Kim, N. I. (2025). How digital platforms affect localentrepreneurial activities: Evidence from the staggered entry of Craigslist. Strategic Entrepreneurship Journal.​

48. Hwang, E., & Kim, Y. (2025). Continuous authentication for secure and seamless user-avatar integration in multi-device metaverses. IEEE Internet of Things Journal.
 
47. Han, S., Hwang, E., & Kim, Y. (2025). A continuous authentication framework for securing metaverse identities. IEEE Transactions on Services Computing, 18(3), 1171-1184.
 
46. Jeong, J. (2025). Enhancing differential fuzzing of cryptographic libraries with sustainable hybrid fuzzing and crypto-specific Mutation. Lecture Notes in Computer Science, 15596, 181-205.
 
45. Kim, J. (2025). Unlocking the potential of security token offerings: Addressing key challenges and fostering market development. Journal of Global Information Management, 33(1).
 
44. Kim, H. (2025). Impact of generative artificial intelligence on learning: Scaffolding strategies and self-directed learning perspectives. International Journal of Human–Computer Interaction.
 
43. Kim, H., & Seo, S. (2025). When generative AI messes up: How politeness and attribution shape user reactions to hallucinations. International Journal of Information Management, 85.
 
42. Ham, M., & Na, H. (2025). Content strategies to improve the performance of audio streaming services: Focusing on content genre and update features. Sage Open, 15(1).
 
41. Yoon, T. (2025). Automatic detection of trapping events of postnatal piglets in loose housing pen: Comparison of YOLO versions 4, 5, and 8. Journal of Animal Science and Technology (JAST), 67(3), 666–676.
 
40. Kim, G., & Hwang, S. (2025). Efficient compressing and tuning methods for large language models: A systematic literature review. ACM Computing Surveys, 57(10), 1-39.
 
39. Seo, I., & Lee, Y. (2025). Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization. PLoS One, 20(5).
 
38. Seo, I., & Kim, M. (2025). Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea. PLoS One, 20(5).
 
37. Jeon, B. (2024). Investigated predictors of construction workers ongoing fatigue: Random forest approach. Journal of Management in Engineering, 41(4), 4025021.

36. Lee, G. (2024). Data augmentation with flickering backgrounds and instances for instance segmentation. IEEE Access, 13, 83752-83764.

35. Park, J., & Jeon, H. (2024). Diffslt: Enhancing diversity in sign language translation via diffusion model. Pattern Recognition Letters, 196, 117-125.

34. Lee, G. (2024). Hierarchical multi-modal fusion architecture search for stock market forecasting. Applied Soft Computing, 183, 113581.

33. Kim, S. (2024). Mvformer: Diversifying feature normalization and token mixing for efficient vision transformers. Pattern Recognition Letters, 197, 72-80.

32. Shin, H. (2024). Looping in: Exploring feedback strategies to motivate human engagement in interactive machine learning. International Journal of Human–Computer Interaction, 41(14), 8666-8683.
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31.  Kim, H., Choi, W., & Jo, H. J. (2024). PE-Detector: Intrusion Detection of Periodic and Event Message Attacks on Controller Area Networks. IEEE Transactions on Vehicular Technology, 73(12), 19374-19388.
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30. Kim, H., & Lee, S. W. (2024). SVOD Multi-Homing Users in Six Countries: Analyzing Legacy Media Usage, Demographics, Lifestyle, Expectations, and Usage Habits. Sage Open, 14(3), 1-22.
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29. Feng, X., Kim, S., Chen, Z., & Kim, H. W. (2024). Analyzing Chinese Tourists’ Experiences in Seoul and Tokyo: A Mixed Methodology of Text Mining and Interviews. Asia Pacific Journal of Information Systems, 34(3), 752-781.
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28. Shin, H., Oh, C., Kim, N. Y., Choi, H., Kim, B., & Ji, Y. G. (2024). Evaluating and eliciting design requirements for an improved user experience in live-streaming commerce interfaces. Computers in Human Behavior, 150, 107990.
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27. Harerimana, G., Kim, G. I., Kim, J. W., & Jang, B. (2023). HSGA: A Hybrid LSTM-CNN Self-Guided Attention to predict the future diagnosis from discharge narratives. IEEE Access.
 
26. Park, J., Ahn, H. E., Park, L. H., & Kwon, T. (2023, August). Robust Training for Deepfake Detection Models Against Disruption-Induced Data Poisoning. In International Conference on Information Security Applications (pp. 175-187). Singapore: Springer Nature Singapore.
 
25. Park, J., Park, L. H., Ahn, H. E., & Kwon, T. (2024). Coexistence of Deepfake Defenses: Addressing the Poisoning Challenge. IEEE Access.
 
24. Shin, M., Kim, S., Kim, Y., Song, A., Kim, Y., & Kim, H. Y. (2024). Development of an HVAC system control method using weather forecasting data with deep reinforcement learning algorithms. Building and Environment, 248, 111069.
 
23. Kim, M., Shin, W., Kim, S., & Kim, H. W. (2023). Predicting Session Conversion on E-commerce: A Deep Learning-based Multimodal Fusion Approach. Asia Pacific Journal of Information Systems, 33(3), 737-767.
 
22. Lee, K. S., Kim, S. B., & Kim, H. W. (2023). Enhanced Anomaly Detection in Manufacturing Processes through Hybrid Deep Learning Techniques. IEEE Access.
 
21. Kim, S., Shin, W., & Kim, H. W. (2024). Predicting online customer purchase: The integration of customer characteristics and browsing patterns. Decision Support Systems, 177, 114105.
 
20. Kwak, K. T., Lee, S. Y., Ham, M., & Lee, S. W. (2021). The effects of internet proliferation on search engine and over-the-top service markets. Telecommunications Policy, 45(8), 102146.
 
19.Hwang, E., Lee, H., Jeong, S., Cho, M., & Kwon, T. (2021). Toward Fast and Scalable Firmware Fuzzing With Dual-Level Peripheral Modeling. IEEE Access, 9, 141790-141799.
 
18. Cho, M., Jin, H., An, D., & Kwon, T. (2021). Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph. IEEE Access, 9, 157267-157277.
 
17.Park, H. J., Kim, Y., & Kim, H. Y. (2022). Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework. Applied Soft Computing, 114, 108106.
 
16.Park, J., Lee, H., & Kim, H. Y. (2022). Risk Factor Recognition for Automatic Safety Management in Construction Sites Using Fast Deep Convolutional Neural Networks. Applied Sciences, 12(2), 694.
 
15. Cho, M., Jang, J., Seo, Y., Jeong, S., Chung, S., & Kwon, T. (2021). Towards bidirectional LUT-level detection of hardware Trojans. Computers & Security, 104, 102223.
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14. Park, J., Kim, B., & Park, S. (2021). Understanding the Behavioral Consequences of Upward Social Comparison on Social Networking Sites: The Mediating Role of Emotions. Sustainability, 13(11), 5781.
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13. Yang, D., Kim, B., & Kim, H. (2021). Automated defect classification in the maintenance phase using a channel attention-based convolutional neural network model of natural language processing.
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12. Lee, K., Lee, S., & Kim, H. (2021). Accelerating multi-class defect detection of building facades using knowledge distillation of DCNN-based model.
​
11. Jang, J. H., Yoon, J., Kim, J., Gu, J., & Kim, H. Y. (2021). DeepOption: A novel option pricing framework based on deep learning with fused distilled data from multiple parametric methods. Information Fusion, 70, 43-59.
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10. Kang, B., Yoon, J., Kim, H. Y., Jo, S. J., Lee, Y., & Kam, H. J. (2021). Deep-learning-based automated terminology mapping in OMOP-CDM. Journal of the American Medical Informatics Association.
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9. Gu, J., Na, J., Park, J., & Kim, H. (2021). Predicting Success of Outbound Telemarketing in Insurance Policy Loans Using an Explainable Multiple-Filter Convolutional Neural Network. Applied Sciences, 11(15), 7147.
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8. Kwak, K. T., Oh, C. J., & Lee, S. W. (2021). Who uses paid over-the-top services and why? Cross-national comparisons of consumer demographics and values. Telecommunications Policy, 45(7), 102168.
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7. Lee, J. Y., Ham, M., & Lee, S. W. (2021). Empirical study on video clip consumption: focusing on viewing habits and use motives. International Journal of Mobile Communications, 19(2), 153-168.
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6. Jo, J. H., Lee, J. H., & Cho, S. (2020). The characteristics of videos on demand for television programs and the
determinants of their viewing patterns: Evidence from the Korean IPTV market. Telecommunications Policy, 44(8), 102001.
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5. Park, L. H., Yu, J., Kang, H. K., Lee, T., & Kwon, T. (2020). Birds of a Feature: Intrafamily Clustering for Version Identification of Packed Malware. IEEE Systems Journal, 14(3), 4545-4556.
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4. Lee, K., Hong, G., Sael, L., Lee, S., & Kim, H. Y. (2020). MultiDefectNet: Multi-Class Defect Detection of Building Facade Based on Deep Convolutional Neural Network. Sustainability, 12(22), 9785.
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3. Yang, D., & Kim, H. (2021). Classification of building defect text details based on a counvolutional neural network using channel attention. International Journal of Sustainable Building Technology & Urban Development
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2. Ham, M., & Lee, S. W. (2020). Factors Influencing Viewing Behavior in Live Streaming: An Interview-Based Survey of Music Fans. Multimodal Technologies and Interaction, 4(3), 50.
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1. Lee, K., Lee, S., & Kim, H. (2021). Accelerating multi-class defect detection of building facades using knowledge distillation of DCNN-based model.