On the interaction between ISP revenue sharing and network neutrality. - Hyeryung Jang; Hyojung Lee; Yung Yi (StudentWorkshop@CoNEXT, 2010)

On the stability of ISPs' coalition structure: Shapley value based revenue sharing. - Hyojung Lee; Hyeryung Jang; Jeong-woo Cho; Yung Yi (CISS, 2012)

Network traffic reduction through smart network. - Jaehoon Jeong; Hyeryung Jang; Yujin Kim; Yung Yi; Jeonghoon Mo (ICOIN, 2013)

On the interaction between content-oriented traffic scheduling and revenue sharing among providers. - Hyojung Lee; Hyeryung Jang; Yung Yi; Jeong-woo Cho (INFOCOM Workshops, 2013)

Distributed learning for utility maximization over CSMA-based wireless multihop networks. - Hyeryung Jang; Se-Young Yun; Jinwoo Shin; Yung Yi (INFOCOM, 2014)

Distributed coordination maximization over networks: a stochastic approximation approach. - Hyeryung Jang; Se-Young Yun; Jinwoo Shin; Yung Yi (MobiHoc, 2016)

Adiabatic Persistent Contrastive Divergence learning. - Hyeryung Jang; Hyungwon Choi; Yung Yi; Jinwoo Shin (ISIT, 2017)

Traffic Scheduling and Revenue Distribution Among Providers in the Internet: Tradeoffs and Impacts. - Hyojung Lee; Hyeryung Jang; Jeong-woo Cho; Yung Yi (IEEE J. Sel. Areas Commun., 2017)

Learning Data Dependency with Communication Cost. - Hyeryung Jang; HyungSeok Song; Yung Yi (MobiHoc, 2018)

Game Theoretic Perspective of Optimal CSMA. - Hyeryung Jang; Se-Young Yun; Jinwoo Shin; Yung Yi (IEEE Trans. Wirel. Commun., 2018)

Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. - Hyeryung Jang; Osvaldo Simeone (ICASSP, 2019)

Solving Continual Combinatorial Selection via Deep Reinforcement Learning. - HyungSeok Song; Hyeryung Jang; Hai H. Tran; Se-eun Yoon; Kyunghwan Son; Donggyu Yun; Hyoju Chung; Yung Yi (IJCAI, 2019)

Learning How to Demodulate from Few Pilots via Meta-Learning. - Sangwoo Park 002; Hyeryung Jang; Osvaldo Simeone; Joonhyuk Kang (SPAWC, 2019)

An Introduction to Probabilistic Spiking Neural Networks. - Hyeryung Jang; Osvaldo Simeone; Brian Gardner; André Grüning (CoRR, 2019)

An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications. - Hyeryung Jang; Osvaldo Simeone; Brian Gardner; André Grüning (IEEE Signal Process. Mag., 2019)

Simulation-Based Distributed Coordination Maximization Over Networks. - Hyeryung Jang; Jinwoo Shin; Yung Yi (IEEE Trans. Control. Netw. Syst., 2019)

End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. - Nicolas Skatchkovsky; Hyeryung Jang; Osvaldo Simeone (ACSSC, 2020)

Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. - Nicolas Skatchkovsky; Hyeryung Jang; Osvaldo Simeone (ICASSP, 2020)

VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits. - Hyeryung Jang; Nicolas Skatchkovsky; Osvaldo Simeone (ICPR, 2020)

Multi-Compartment Variational Online Learning for Spiking Neural Networks. - Hyeryung Jang; Osvaldo Simeone (CoRR, 2020)

BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning. - Hyeryung Jang; Nicolas Skatchkovsky; Osvaldo Simeone (CoRR, 2020)

Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization. - Hyeryung Jang; Osvaldo Simeone (ICASSP, 2021)

Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. - Nicolas Skatchkovsky; Osvaldo Simeone; Hyeryung Jang (NeurIPS, 2021)

Spiking Neural Networks - Part I: Detecting Spatial Patterns. - Hyeryung Jang; Nicolas Skatchkovsky; Osvaldo Simeone (IEEE Commun. Lett., 2021)

Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. - Nicolas Skatchkovsky; Hyeryung Jang; Osvaldo Simeone (IEEE Commun. Lett., 2021)

Spiking Neural Networks - Part III: Neuromorphic Communications. - Nicolas Skatchkovsky; Hyeryung Jang; Osvaldo Simeone (IEEE Commun. Lett., 2021)

Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning. - Sangwoo Park 002; Hyeryung Jang; Osvaldo Simeone; Joonhyuk Kang (IEEE Trans. Signal Process., 2021)

Bayesian continual learning via spiking neural networks. - Nicolas Skatchkovsky; Hyeryung Jang; Osvaldo Simeone (Frontiers Comput. Neurosci., 2022)

Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk. - Roy Karasik; Osvaldo Simeone; Hyeryung Jang; Shlomo Shamai Shitz (IEEE Trans. Commun., 2022)

Multisample Online Learning for Probabilistic Spiking Neural Networks. - Hyeryung Jang; Osvaldo Simeone (IEEE Trans. Neural Networks Learn. Syst., 2022)

On Cost-Efficient Learning of Data Dependency. - Hyeryung Jang; HyungSeok Song; Yung Yi (IEEE/ACM Trans. Netw., 2022)

StyleBoost: A Study of Personalizing Text-to-Image Generation in Any Style using DreamBooth. - Junseo Park; Beom-Seok Ko; Hyeryung Jang (ICTC, 2023)

LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks With Graph Contrastive Learning. - Sanghun Kim; Hyeryung Jang (IEEE Access, 2023)

Data Augmentation Techniques Using Text-to-Image Diffusion Models for Enhanced Data Diversity. - Jeongmin Shin; Hyeryung Jang (ICTC, 2024)

Text-to-Image Synthesis for Any Artistic Styles: Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding. - Junseo Park; Beom-Seok Ko; Hyeryung Jang (CoRR, 2024)

I2AM: Interpreting Image-to-Image Latent Diffusion Models via Attribution Maps. - Junseo Park; Hyeryung Jang (CoRR, 2024)

I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps. - Junseo Park; Hyeryung Jang (ICLR, 2025)

BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning. - Sangmin Lee; Hyeryung Jang (IEEE Access, 2025)

Multi-adversarial autoencoders: Stable, faster and self-adaptive representation learning. - Xinyu Wu; Hyeryung Jang (Expert Syst. Appl., 2025)

SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild. - Jiyong Moon; Hyeryung Jang; Seongsik Park (IEEE Trans. Affect. Comput., 2025)

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model. - Beom-Seok Ko; Hyeryung Jang (CoRR, 2025)