Park, Ji Ho

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Exosome engineering for efficient intracellular delivery of soluble proteins using optically reversible protein-protein interaction module

Yim, N., Ryu, S.-W., Choi, K., Lee, K. R., Lee, S., Choi, H., Kim, J., Shaker, M. R., Sun, W., Park, J.-H., et al. (2016) · Nature Communications

Extracellular vesicles in diseaseNanoparticle-Based Drug Delivery

Cited by 578

Reducing Gender Bias in Abusive Language Detection

Park, J. H., Shin, J., & Fung, P. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 323

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training

Xu, P., Madotto, A., Wu, C.-S., Park, J. H., & Fung, P. (2018) · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 83