Jonghwan Hyeon

According to our database, Jonghwan Hyeon authored at least 14 papers between 2016 and 2024.

Collaborative distances:

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

2024

Improving speech emotion recognition by fusing self-supervised learning and spectral features via mixture of experts.

Jonghwan Hyeon, Yung-Hwan Oh, Young-Jun Lee, Ho-Jin Choi

Data Knowl. Eng., 2024

Enhancing Speech Emotion Recognition through Segmental Average Pooling of Self-Supervised Learning Features.

Jonghwan Hyeon, Yung-Hwan Oh, Ho-Jin Choi

CoRR, 2024

DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset.

Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Jonghwan Hyeon, Ho-Jin Choi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge.

Young-Jun Lee, Dokyong Lee, Junyoung Youn, Kyeongjin Oh, Byungsoo Ko, Jonghwan Hyeon, Ho-Jin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enhanced Deep Electric Pole Anomaly Detection Using Generative Adversarial Network-based Data Augmentation.

Dongkun Lee, Jonghwan Hyeon, Ho-Jin Choi

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

Large Language Models can Share Images, Too!

Young-Jun Lee, Dokyong Lee, Joo-Won Sung, Jonghwan Hyeon, Ho-Jin Choi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Large Language Models can Share Images, Too!

Young-Jun Lee, Jonghwan Hyeon, Ho-Jin Choi

CoRR, 2023

2021

Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning.

Sanghyuk Im, Jonghwan Hyeon, Eunyoung Rha, Janghyeon Lee, Ho-Jin Choi, Yuchae Jung, Tae-Jung Kim

Sensors, 2021

2017

Empathy Bot: Conversational Service for Psychiatric Counseling with Chat Assistant.

Kyo-Joong Oh, Dongkun Lee, ByungSoo Ko, Jonghwan Hyeon, Ho-Jin Choi

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Automating Papanicolaou Test Using Deep Convolutional Activation Feature.

Jonghwan Hyeon, Ho-Jin Choi, Kap No Lee, Byung Doo Lee

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization.

You Jin Kim, Han-Gyu Kim, Jonghwan Hyeon, Ho-Jin Choi

Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

Diagnosing cervical cell images using pre-trained convolutional neural network as feature extractor.

Jonghwan Hyeon, Ho-Jin Choi, Byung Doo Lee, Kap No Lee

Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2016

Constructing an initial knowledge base for medical domain expert system using induct RDR.

Jonghwan Hyeon, Kyo-Joong Oh, You Jin Kim, Hyunsuk Chung, Byeong Ho Kang, Ho-Jin Choi

Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

Medical Prognosis Generation from General Blood Test Results Using Knowledge-Based and Machine-Learning-Based Approaches.

You Jin Kim, Jonghwan Hyeon, Kyo-Joong Oh, Ho-Jin Choi

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016