Kim, Jong Wook

Learning Transferable Visual Models From Natural Language Supervision

Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 15,293

Robust Speech Recognition via Large-Scale Weak Supervision

Radford, A., Kim, J. W., Xu, T., Brockman, G., McLeavey, C., & Sutskever, I. (2022) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,953

Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

Jang, B., Kim, M., Harerimana, G., Kang, S.-U., & Kim, J. W. (2020) · Applied Sciences

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 442

Robust fine-tuning of zero-shot models

Wortsman, M., Ilharco, G., Kim, J. W., Li, M., Kornblith, S., Roelofs, R., Lopes, R. G., Hajishirzi, H., Farhadi, A., Namkoong, H., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 428

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

Health Big Data Analytics: A Technology Survey

Harerimana, G., Jang, B., Kim, J. W., & Park, H. K. (2018) · IEEE Access

Artificial Intelligence in HealthcareBig Data Technologies and Applications

Cited by 119

Privacy-preserving aggregation of personal health data streams

Kim, J. W., Jang, B., & Yoo, H. (2018) · PLOS ONE

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 49

Learning, Forgetting, and Relearning for Keystroke- and Mouse-Driven Tasks: Relearning Is Important

Kim, J. W., & Ritter, F. E. (2015) · Human–Computer Interaction

Usability and User Interface DesignMemory Processes and Influences

Cited by 28

SEA: Segment-enrich-annotate paradigm for adapting dialog-based content for improved accessibility

Candan, K. S., Dönderler, M. E., Hedgpeth, T., Kim, J. W., Li, Q., & Sapino, M. L. (2009) · ACM Transactions on Information Systems

Digital Accessibility for DisabilitiesAssistive Technology in Communication and Mobility

Cited by 8