In the past, I have great chances to work with an amazing set of researchers and companies. I achieved a Master's degree at Texas A&M University where I was advised by Prof. Javier Jo. Before starting a Ph.D., I worked at Hyundai Mobis as a Research Engineer. During pursuing a Ph.D. degree at University of Toronto, I was supervised by Prof. Dimitrios Hatzinakos and worked on biometrics, security, generative model, representation learning and human activity recognition.
For more details, check my resume or hit me up on my email.
Publications
GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications
Hwang, Dae Yon and Nechaev, Yaroslav and Lichy, Cyprien de and Zhang, Renxian
International Conference on Natural Language Generation (INLG) 2023
Link
EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding
Hwang, Dae Yon and Taha, Bilal and Nechaev, Yaroslav
Association for Computational Linguistics (ACL) 2023 Finding
Link
Eeg Emotion Recognition Via Ensemble Learning Representations
Taha, Bilal and Hwang, Dae Yon and Hatzinakos, Dimitrios
2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Link
EyeDrive: A Deep Learning Model for Continuous Driver Authentication
Taha, Bilal and Seha, Sherif Nagib Abbas and Hwang, Dae Yon and Hatzinakos, Dimitrios
IEEE Journal of Selected Topics in Signal Processing
Link
Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-based Human Activity Recognition
Hwang, Dae Yon and Ng, Pai Chet and Yu, Yuanhao and Wang, Yang and Spachos, Petros and Hatzinakos, Dimitrios and Plataniotis, Konstantinos N.
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Link
A New Score Level Fusion Approach for Stable User Verification System Using the PPG Signal
Hwang, Dae Yon and Taha, Bilal and Hatzinakos, Dimitrios
Journal of Signal Processing Systems
Link
PBGAN: Learning PPG Representations From GAN for Time-Stable and Unique Verification System
Hwang, Dae Yon and Taha, Bilal and Hatzinakos, Dimitrios
IEEE Transactions on Information Forensics and Security
Link
Variation-Stable Fusion for PPG-Based Biometric System
Hwang, Dae Yon and Taha, Bilal and Hatzinakos, Dimitrios
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Link
Evaluation of the time stability and uniqueness in PPG-based biometric system
Hwang, Dae Yon and Taha, Bilal and Lee, Da Saem and Hatzinakos, Dimitrios
IEEE Transactions on Information Forensics and Security
Link
PPG-based personalized verification system
Hwang, Dae Yon and Hatzinakos, Dimitrios
2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)
Link
In vivo metabolic imaging of early stage oral cancer and dysplasia based on autofluorescence lifetime endoscopy
Duran, Elvis and Hwang, DaeYon and Cheng, Shuna and Cuenca, Rodrigo and Malik, Bilal and Maitland, Kristen C and Wright, John and Cheng, YS Lisa and Ahmed, Beena and Jo, Javier A
Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018 SPIE)
Link
Early Detection of Oral Epithelial Cancer with Endogenous Fluorescence Lifetime Endoscopy
Cheng, Shuna and Hwang, Dae Yon and Cuenca, Rodrigo and Malik, Bilal and Maitland, Kristen C and Wright, John and Cheng, YS Lisa and Ahmed, Beena and Jo, Javier A
Latin America Optics and Photonics Conference
Link
In vivo detection of oral epithelial cancer using endogenous fluorescence lifetime imaging: a pilot human study
Jo, Javier A and Hwang, Dae Yon and Palma, Jorge and Cheng, Shuna and Cuenca, Rodrigo and Malik, Bilal and Jabbour, Joey and Cheng, Lisa and Wright, John and Maitland, Kristen
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIV (2016 SPIE)
Link
In vivo detection of oral epithelial pre-cancer and cancer by endogenous fluorescence lifetime imaging (FLIM) endoscopy
Cheng, Shuna and Hwang, Dae Yon and Cuenca, Rodrigo and Malik, Bilal and Maitland, Kristen C and Wright, John and Cheng, YS Lisa and Jo, Javier A
Cancer Imaging and Therapy
Link
Thesis
Ph.D.
User Recognition System based on PPG Signal
University of Toronto
Link
Master of Science
Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging
Texas A&M University
Link
Professional Service
Empirical Methods in Natural Language Processing (EMNLP) 2023-2024
Program Committee in Industry Track and Reviewer in Main Conference
Association for Computational Linguistics (ACL) 2023-2024
Reviewer
ACL Rolling Review
Reviewer
RepL4NLP Workshop @ ACL 2024
Reviewer
SyntheticData4ML Workshop @ NeurIPS 2023
Reviewer
Journal of Electrical Engineering & Technology
Reviewer
IEEE Journal of Biomedical and Health Informatics
Reviewer
IEEE Transactions on Information, Forensics and Security
Reviewer
Invited Talks
Career Guidance Seminar @ Incheon National University
Speaker
Dec 2023
GAN with LM @ ML for Healthcare Roundtable in Amazon
Speaker
Oct 2023
