Hyeryung Jang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Utility Maximization

Image Generation

Spiking Neural Networks

Temporal Patterns

Top Venues

IEEE Commun. Lett.

Publications

Junseo Park, Beom-Seok Ko, Hyeryung Jang
Text-to-Image Synthesis for Any Artistic Styles: Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding. CoRR (2024)
Junseo Park, Hyeryung Jang
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Attribution Maps. CoRR (2024)
Junseo Park, Beom-Seok Ko, Hyeryung Jang
StyleBoost: A Study of Personalizing Text-to-Image Generation in Any Style using DreamBooth. ICTC (2023)
Sanghun Kim, Hyeryung Jang
LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks With Graph Contrastive Learning. IEEE Access 11 (2023)
Hyeryung Jang, HyungSeok Song, Yung Yi
On Cost-Efficient Learning of Data Dependency. IEEE/ACM Trans. Netw. 30 (3) (2022)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Bayesian continual learning via spiking neural networks. Frontiers Comput. Neurosci. 16 (2022)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Bayesian Continual Learning via Spiking Neural Networks. CoRR (2022)
Hyeryung Jang, Osvaldo Simeone
Multisample Online Learning for Probabilistic Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai Shitz
Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk. IEEE Trans. Commun. 70 (12) (2022)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Spiking Neural Networks - Part III: Neuromorphic Communications. IEEE Commun. Lett. 25 (6) (2021)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. IEEE Commun. Lett. 25 (6) (2021)
Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. NeurIPS (2021)
Hyeryung Jang, Osvaldo Simeone
Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization. ICASSP (2021)
Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
Spiking Neural Networks - Part I: Detecting Spatial Patterns. IEEE Commun. Lett. 25 (6) (2021)
Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning. IEEE Trans. Signal Process. 69 (2021)
Hyeryung Jang, Osvaldo Simeone
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization. CoRR (2021)
Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. CoRR (2021)
Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai
Learning to Broadcast for Ultra-Reliable Communication with Differential Quality of Service via the Conditional Value at Risk. CoRR (2021)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. ICASSP (2020)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. ACSSC (2020)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. CoRR (2020)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Spiking Neural Networks - Part III: Neuromorphic Communications. CoRR (2020)
Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
Spiking Neural Networks - Part I: Detecting Spatial Patterns. CoRR (2020)
Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits. ICPR (2020)
Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning. CoRR (2020)
Hyeryung Jang, Osvaldo Simeone
Multi-Compartment Variational Online Learning for Spiking Neural Networks. CoRR (2020)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. CoRR (2020)
Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits. CoRR (2020)
Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications. IEEE Signal Process. Mag. 36 (6) (2019)
HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi
Solving Continual Combinatorial Selection via Deep Reinforcement Learning. CoRR (2019)
Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning. CoRR (2019)
Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
Learning How to Demodulate from Few Pilots via Meta-Learning. CoRR (2019)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. CoRR (2019)
Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning
An Introduction to Probabilistic Spiking Neural Networks. CoRR (2019)
Hyeryung Jang, Osvaldo Simeone
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. ICASSP (2019)
HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi
Solving Continual Combinatorial Selection via Deep Reinforcement Learning. IJCAI (2019)
Hyeryung Jang, Jinwoo Shin, Yung Yi
Simulation-Based Distributed Coordination Maximization Over Networks. IEEE Trans. Control. Netw. Syst. 6 (2) (2019)
Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
Learning How to Demodulate from Few Pilots via Meta-Learning. SPAWC (2019)
Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
Game Theoretic Perspective of Optimal CSMA. IEEE Trans. Wirel. Commun. 17 (1) (2018)
Hyeryung Jang, HyungSeok Song, Yung Yi
Learning Data Dependency with Communication Cost. MobiHoc (2018)
Hyeryung Jang, Osvaldo Simeone
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. CoRR (2018)
Hyeryung Jang, HyungSeok Song, Yung Yi
Learning Data Dependency with Communication Cost. CoRR (2018)
Hyeryung Jang, Jinwoo Shin, Yung Yi
Simulation-based Distributed Coordination Maximization over Networks. CoRR (2018)
Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin
Adiabatic Persistent Contrastive Divergence learning. ISIT (2017)
Hyojung Lee, Hyeryung Jang, Jeong-woo Cho, Yung Yi
Traffic Scheduling and Revenue Distribution Among Providers in the Internet: Tradeoffs and Impacts. IEEE J. Sel. Areas Commun. 35 (2) (2017)
Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin
Adiabatic Persistent Contrastive Divergence Learning. CoRR (2016)
Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
Distributed coordination maximization over networks: a stochastic approximation approach. MobiHoc (2016)
Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
Distributed learning for utility maximization over CSMA-based wireless multihop networks. INFOCOM (2014)
Hyojung Lee, Hyeryung Jang, Yung Yi, Jeong-woo Cho
On the interaction between content-oriented traffic scheduling and revenue sharing among providers. INFOCOM Workshops (2013)
Jaehoon Jeong, Hyeryung Jang, Yujin Kim, Yung Yi, Jeonghoon Mo
Network traffic reduction through smart network. ICOIN (2013)
Hyojung Lee, Hyeryung Jang, Yung Yi, Jeong-woo Cho
On the interaction between content-oriented traffic scheduling and revenue sharing among providers. INFOCOM (2013)
Hyojung Lee, Hyeryung Jang, Jeong-woo Cho, Yung Yi
On the stability of ISPs' coalition structure: Shapley value based revenue sharing. CISS (2012)
Hyeryung Jang, Hyojung Lee, Yung Yi
On the interaction between ISP revenue sharing and network neutrality. StudentWorkshop@CoNEXT (2010)