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ORCIDHyeryung Jang
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- affiliation: Dongguk University, Seoul, South Korea
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2020 – today
- 2025
[j14]Xinyu Wu
, Hyeryung Jang:
Multi-adversarial autoencoders: Stable, faster and self-adaptive representation learning. Expert Syst. Appl. 262: 125554 (2025)- 2024
- [i22]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 abs/2404.05256 (2024) - [i21]Junseo Park, Hyeryung Jang:
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Attribution Maps. CoRR abs/2407.12331 (2024) - 2023
- [j13]Sanghun Kim, Hyeryung Jang:
LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks With Graph Contrastive Learning. IEEE Access 11: 145308-145319 (2023) - [c18]Junseo Park, Beom-Seok Ko, Hyeryung Jang:
StyleBoost: A Study of Personalizing Text-to-Image Generation in Any Style using DreamBooth. ICTC 2023: 93-98 - 2022
- [j12]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Bayesian continual learning via spiking neural networks. Frontiers Comput. Neurosci. 16 (2022) - [j11]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): 8060-8074 (2022) - [j10]Hyeryung Jang, Osvaldo Simeone:
Multisample Online Learning for Probabilistic Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2034-2044 (2022) - [j9]Hyeryung Jang, HyungSeok Song, Yung Yi:
On Cost-Efficient Learning of Data Dependency. IEEE/ACM Trans. Netw. 30(3): 1382-1394 (2022) - [i20]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Bayesian Continual Learning via Spiking Neural Networks. CoRR abs/2208.13723 (2022) - 2021
- [j8]Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
Spiking Neural Networks - Part I: Detecting Spatial Patterns. IEEE Commun. Lett. 25(6): 1736-1740 (2021) - [j7]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. IEEE Commun. Lett. 25(6): 1741-1745 (2021) - [j6]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Spiking Neural Networks - Part III: Neuromorphic Communications. IEEE Commun. Lett. 25(6): 1746-1750 (2021) - [j5]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: 226-239 (2021) - [c17]Hyeryung Jang, Osvaldo Simeone:
Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization. ICASSP 2021: 4080-4084 - [c16]Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang:
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. NeurIPS 2021: 17049-17059 - [i19]Hyeryung Jang, Osvaldo Simeone:
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization. CoRR abs/2102.03280 (2021) - [i18]Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang:
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. CoRR abs/2106.01177 (2021) - [i17]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 abs/2112.02007 (2021) - 2020
- [c15]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. ACSSC 2020: 166-173 - [c14]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. ICASSP 2020: 8524-8528 - [c13]Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits. ICPR 2020: 4597-4604 - [i16]Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits. CoRR abs/2004.09416 (2020) - [i15]Hyeryung Jang, Osvaldo Simeone:
Multi-Compartment Variational Online Learning for Spiking Neural Networks. CoRR abs/2007.11894 (2020) - [i14]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. CoRR abs/2009.01527 (2020) - [i13]Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
Spiking Neural Networks - Part I: Detecting Spatial Patterns. CoRR abs/2010.14208 (2020) - [i12]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. CoRR abs/2010.14217 (2020) - [i11]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Spiking Neural Networks - Part III: Neuromorphic Communications. CoRR abs/2010.14220 (2020) - [i10]Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning. CoRR abs/2012.08300 (2020)
2010 – 2019
- 2019
- [j4]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): 64-77 (2019) - [j3]Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-Based Distributed Coordination Maximization Over Networks. IEEE Trans. Control. Netw. Syst. 6(2): 713-726 (2019) - [c12]Hyeryung Jang, Osvaldo Simeone:
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. ICASSP 2019: 3382-3386 - [c11]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: 3467-3474 - [c10]Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang:
Learning How to Demodulate from Few Pilots via Meta-Learning. SPAWC 2019: 1-5 - [i9]Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang:
Learning How to Demodulate from Few Pilots via Meta-Learning. CoRR abs/1903.02184 (2019) - [i8]Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang:
Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning. CoRR abs/1908.09049 (2019) - [i7]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 abs/1909.03638 (2019) - [i6]Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning:
An Introduction to Probabilistic Spiking Neural Networks. CoRR abs/1910.01059 (2019) - [i5]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. CoRR abs/1910.09594 (2019) - 2018
- [j2]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Game Theoretic Perspective of Optimal CSMA. IEEE Trans. Wirel. Commun. 17(1): 194-209 (2018) - [c9]Hyeryung Jang, HyungSeok Song, Yung Yi:
Learning Data Dependency with Communication Cost. MobiHoc 2018: 171-180 - [i4]Hyeryung Jang, HyungSeok Song, Yung Yi:
Learning Data Dependency with Communication Cost. CoRR abs/1804.10942 (2018) - [i3]Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-based Distributed Coordination Maximization over Networks. CoRR abs/1809.04972 (2018) - [i2]Hyeryung Jang, Osvaldo Simeone:
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. CoRR abs/1810.08940 (2018) - 2017
- [j1]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): 421-431 (2017) - [c8]Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin:
Adiabatic Persistent Contrastive Divergence learning. ISIT 2017: 3005-3009 - 2016
- [c7]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed coordination maximization over networks: a stochastic approximation approach. MobiHoc 2016: 181-190 - [i1]Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin:
Adiabatic Persistent Contrastive Divergence Learning. CoRR abs/1605.08174 (2016) - 2014
- [c6]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed learning for utility maximization over CSMA-based wireless multihop networks. INFOCOM 2014: 280-288 - 2013
- [c5]Jaehoon Jeong, Hyeryung Jang, Yujin Kim, Yung Yi, Jeonghoon Mo:
Network traffic reduction through smart network. ICOIN 2013: 686-689 - [c4]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: 333-338 - [c3]Hyojung Lee, Hyeryung Jang, Yung Yi, Jeong-woo Cho:
On the interaction between content-oriented traffic scheduling and revenue sharing among providers. INFOCOM 2013: 3201-3206 - 2012
- [c2]Hyojung Lee, Hyeryung Jang, Jeong-woo Cho, Yung Yi:
On the stability of ISPs' coalition structure: Shapley value based revenue sharing. CISS 2012: 1-6 - 2010
- [c1]Hyeryung Jang, Hyojung Lee, Yung Yi:
On the interaction between ISP revenue sharing and network neutrality. StudentWorkshop@CoNEXT 2010: 19:1-19:2
Coauthor Index
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