Hye Ryung Jang

Emailhyeryung.jangdgu.ackr

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BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning
Lee, S. & Jang, H., 2025, In: IEEE Access. 13, p. 42441-42456 16 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
I²AM: INTERPRETING IMAGE-TO-IMAGE LATENT DIFFUSION MODELS VIA BI-ATTRIBUTION MAPS
Park, J. & Jang, H., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 21596-21618 23 p. (13th International Conference on Learning Representations, ICLR 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Multi-adversarial autoencoders: Stable, faster and self-adaptive representation learning
Wu, X. & Jang, H., 1 Mar 2025, In: Expert Systems with Applications. 262, 125554.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild
Moon, J., Jang, H. & Park, S., 2025, In: IEEE Transactions on Affective Computing. 16, 2, p. 799-813 15 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Data Augmentation Techniques Using Text-to-Image Diffusion Models for Enhanced Data Diversity
Shin, J. & Jang, H., 2024, ICTC 2024 - 15th International Conference on ICT Convergence: AI-Empowered Digital Innovation. IEEE Computer Society, p. 2027-2032 6 p. (International Conference on ICT Convergence).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Researchers from Dongguk University Detail New Studies and Findings in the Area of Engineering (BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning)
Jang, H. R.
24/03/25
1 item of Media coverage
Press/Media
New Sensor Research Study Findings Have Been Reported by a Researcher at Dongguk University (Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation)
Jang, H. R.
10/01/25
1 item of Media coverage
Press/Media

Hye Ryung Jang

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Collaborations and top research areas from the last five years

Dive into details

BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning

I²AM: INTERPRETING IMAGE-TO-IMAGE LATENT DIFFUSION MODELS VIA BI-ATTRIBUTION MAPS

Multi-adversarial autoencoders: Stable, faster and self-adaptive representation learning

SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild

Data Augmentation Techniques Using Text-to-Image Diffusion Models for Enhanced Data Diversity

Researchers from Dongguk University Detail New Studies and Findings in the Area of Engineering (BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning)

New Sensor Research Study Findings Have Been Reported by a Researcher at Dongguk University (Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation)

Hye Ryung Jang

Fingerprint

Collaborations and top research areas from the last five years

Research output

BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning

I2AM: INTERPRETING IMAGE-TO-IMAGE LATENT DIFFUSION MODELS VIA BI-ATTRIBUTION MAPS

Multi-adversarial autoencoders: Stable, faster and self-adaptive representation learning

SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild

Data Augmentation Techniques Using Text-to-Image Diffusion Models for Enhanced Data Diversity

Press/Media

Researchers from Dongguk University Detail New Studies and Findings in the Area of Engineering (BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning)

New Sensor Research Study Findings Have Been Reported by a Researcher at Dongguk University (Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation)

I²AM: INTERPRETING IMAGE-TO-IMAGE LATENT DIFFUSION MODELS VIA BI-ATTRIBUTION MAPS