Hyeryung Jang
Orcid: 0000-0002-7314-0739Affiliations:
- Dongguk University, Seoul, South Korea
According to our database1,
Hyeryung Jang
authored at least 33 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks With Graph Contrastive Learning.
IEEE Access, 2023
StyleBoost: A Study of Personalizing Text-to-Image Generation in Any Style using DreamBooth.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk.
IEEE Trans. Commun., 2022
Frontiers Comput. Neurosci., 2022
2021
IEEE Trans. Signal Process., 2021
IEEE Commun. Lett., 2021
IEEE Commun. Lett., 2021
IEEE Commun. Lett., 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
CoRR, 2020
CoRR, 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Trans. Control. Netw. Syst., 2019
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications.
IEEE Signal Process. Mag., 2019
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018
2017
Traffic Scheduling and Revenue Distribution Among Providers in the Internet: Tradeoffs and Impacts.
IEEE J. Sel. Areas Commun., 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
2016
Distributed coordination maximization over networks: a stochastic approximation approach.
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016
2014
Distributed learning for utility maximization over CSMA-based wireless multihop networks.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
2013
On the interaction between content-oriented traffic scheduling and revenue sharing among providers.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Proceedings of the International Conference on Information Networking 2013, 2013
2012
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
2010
Proceedings of the ACM CoNEXT Student Workshop, 2010