Dae Hyeon Kim

International Journal Publications

† denotes equal contribution.

1. J. Y. Lee †, D. H. Kim †, and Y.-S. Choi, " Adversarial Graph Contrastive Learning with Topology-Aware Multimodal Fusion for Cross-Domain Emotion Recognition," Knowledge-Based Systems, Accepted, Aug. 2026 (IF: 8.0, JCR: 16.0%).

2. D. H. Kim and Y.-S. Choi, "SimNeXt-EEG: Compact Motor Imagery EEG Decoding via Parameter-Free Temporal Attention and Separable Refinement", IEEE Signal Processing Letters, Accepted, Aug. 2026 (IF: 3.6, Q2).

3. D. H. Kim and Y.-S. Choi, "Adaptive Semi-Supervised Graph Contrastive Representation Learning for Robust Emotion Recognition Using Electroencephalogram", Knowledge-based Systems, vol. 339, no. 22, p. 115638, April 2026 (IF: 7.6, JCR: 12.5%). <Link>

4. D. H. Kim and Y.-S. Choi, "Semi-supervised graph contrastive learning for emotion recognition based on electroencephalogram signals," Engineering Applications of Artificial Intelligence, vol. 161, part A, p. 111969, Dec. 2025, (IF: 8.0, JCR 2.5%). <Link> 

5. M. S. Lee, D. H. Kim, and Y.-S. Choi, "Enhancing EEG-based Emotion Recognition Using Sparse Dynamic Graph CNN with ℓ2,1-norm," IEEE Sensors Journal, vol. 25, no. 22, Nov 2025, (IF: 4.5, JCR 19.1%). <Link>

6. D. H. Kim, J.-O. Park, D.-Y. Lee, and Y.-S. Choi, "Multiscale distribution entropy analysis of short epileptic EEG signals," Mathematical Biosciences and Engineering, vol. 21, no. 4, pp. 5556-5576, Apr. 2024, (IF: 2.6, Q2). <Link>

International Conferences

‡ denotes the presenter.

1. S. H. Jho ‡ , D. H. Kim, J. H. Son, and Y.-S. Choi, "Physiology-Aware Multi-Branch Network for Fully Contactless Blood Pressure Estimation via Facial Remote Pulse Transit Time, " International Joint Conference on Neural Networks (IJCNN), 2026, Rank A, acceptance rate: 40%. (oral)

2. D. H. Kim ‡  and Y.-S. Choi, "Joint Graph-Based Modality Alignment for Robustness in Conversational Emotion Recognition," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026, Rank A, acceptance rate: 40%. (poster)

3. D.-H. Lee, D. H. Kim ‡  and Y.-S. Choi, "Inter-Dialog Contrastive Learning for Multimodal Emotion Recognition in Conversations," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026, Rank A, acceptance rate: 40%. (oral)

4. D.-H. Lee ‡ , D. H. Kim, and Y.-S. Choi, "Remote Heart Rate Estimation From Facial Videos With Balanced Contrastive Learning," ICEIC 2025, Jan. 2025 <Link>. (poster)

5. D. H. Kim ‡ , and Y.-S. Choi, "Multimodal Emotion Recognition based on Global Information Fusion in Conversations, " ITC-CSCC 2024, Jul. 2024 <Link>. (oral)

6. D. H. Kim ‡ , and Y.-S. Choi, "Semi-supervised EEG emotion recognition with Discriminative Graph Transformer Model," IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Oct. 2023. <Link> (oral)

7. D.-H. Kim ‡  and Y.-S. Choi, "EEG-based Emotion Recognition Using Spectral Graph Convolutional Neural Network based on Partial Directed Coherence," IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, Oct. 2022. <Link> (oral)

Domestic Conferences

1. M. S. Lee, D. H. Kim, D.-H. Lee, J.-Y. Lee, Y.-S. Choi, et al., "Correlation Analysis of Biomarkers using Multimodal Biosignals for Detecting Craving States in Patients with Substance Use Disorder," Autumn Annual Conference of IEIE, Nov. 2025.

2. J.-Y. Lee, D. H. Kim, M. S. Lee, Y.-S. Choi, "Semi-supervised Graph Convolutional Network for Emotion Recognition using Multimodal Biosignals Fusion," Autumn Annual Conference of IEIE, Nov. 2025. 

3. S. H. Jho, D. H. Kim, Y.-S. Choi, "Contactless Blood Pressure Estimation based on Graph Convolution Network with Semi-supervised Learning," Autumn Annual Conference of IEIE, Nov. 2025. 

4. S. W. Kim, K.-J. Moon, G. B. Ma, D. H. Kim, Y.-S. Choi, "Robust Deepfake Detection using a 1D Convolution-Transformer Hybrid Model based on Remote Photoplethysmography Signals," Autumn Annual Conference of IEIE, Nov. 2025.

5. S. W. Kim, K.-J. Moon, D. H. Kim, Y.-S. Choi, "Multiscale 1D Convolution-Transformer Model for Imagined Speech Decoding," Autumn Annual Conference of IEIE, Nov. 2025.

6. M. S. Lee, J.-Y. Lee, D.-H. Lee, D. H. Kim, Y.-S. Choi, et al., "A Study on the Exploration of Physiological Biomarkers for Classifying Alcohol Craving Levels Based on Heart Rate Responses," Summer Annual Conference of IEIE, Jun. 2025.

7. M. S. Lee, D. H. Kim, Y.-S. Choi, "L2,1-norm-based Sparse Dynamic Graph Convolution Neural Network,"  Summer Annual Conference of IEIE, Jun. 2024. 

8. D. H. Kim, and Y.-S. Choi, "Facial Video-based Contactless Blood Pressure Estimation Using End-to-End Graph Convolutional Network,"  Summer Annual Conference of IEIE, Jun. 2024.

9. D. H. Kim, M.S. Lee, D.H. Lee, C.-M. Kim, S.S. Park, J.H. Son, Y.-S. Choi, et al., "Emotion Recognition based on Multimodal Graph Representation Learning of Senior Utterance," Summer Annual Conference of KOSOMBE, May 2024.  - Best Poster Award.

10. D. H. Kim, and Y.-S. Choi, "Semi-supervised Graph Convolution Neural Network based Emotion Recognition using Multimodal Biosignals," Summer Annual Conference of KIBME, Jun. 2023. 

11. D.-H. Kim, and Y.-S. Choi, "Quantitative EEG based Emotion Recognition Using Graph Convolutional Neural Network," Summer Annual Conference of IEIE, Jul. 2022.

12. Y.-J, Seo, W.-G, Lee, K.-Y. Kho, D. H. Kim, H.-W. Cho, J.-H. Choi, J. Yu, R. Sohn, and C.-S. Park, "Deep learning based blood pressure estimation using ballistocardiogram," Joint Conference on Signal Processing, Sep. 2020 (Oral, Online due to COVID 19).

13. D. H. Kim, H.-W. Cho, J.-H. Choi, K.-Y. Kho, Y.-J, Seo, J. Yu, R. Sohn, and C.-S. Park, "Blood Pressure Estimation based on Real-Time Deep Learning Analysis on BCG," The Korean Society of Medical and Biological Engineering (KOSOMBE) Spring Conference, May 2021 (Oral, Online due to COVID 19).

Patents

1. 스펙트럼 그래프 컨볼루션 신경망을 이용한 정량화 뇌파 기반 감정 인식 방법
   (Quantitative EEG-based Emotion Recognition Method using Spectral Graph Convolutional Neural Network )
   최영석, 김대현, 출원번호: 10-2023-0138754, 출원일자: 2023.10.17