Hyeryung Jang

发表

Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spiking Neural Networks: A Stochastic Signal Processing Perspective pdf

Osvaldo Simeone, Hyeryung Jang, André Grüning, 2018, ArXiv.

VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits pdf

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Distributed coordination maximization over networks: a stochastic approximation approach

Jinwoo Shin, Yung Yi, SeYoung Yun, 2016, MobiHoc.

On the interaction between content-oriented traffic scheduling and revenue sharing among providers

Yung Yi, Hyeryung Jang, Hyojung Lee, 2013, INFOCOM Workshops.

Multi-Sample Online Learning for Probabilistic Spiking Neural Networks

Osvaldo Simeone, Hyeryung Jang, 2020 .

On the interaction between ISP revenue sharing and network neutrality

Yung Yi, Hyeryung Jang, Hyojung Lee, 2010, CoNEXT '10 Student Workshop.

Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing

Osvaldo Simeone, Hyeryung Jang, Hyeryung Jang, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence pdf

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2020, 2020 54th Asilomar Conference on Signals, Systems, and Computers.

Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning

Joonhyuk Kang, Osvaldo Simeone, Sangwoo Park, 2019, IEEE Transactions on Signal Processing.

Game Theoretic Perspective of Optimal CSMA

Jinwoo Shin, Yung Yi, Se-Young Yun, 2018, IEEE Transactions on Wireless Communications.

Spiking Neural Networks—Part III: Neuromorphic Communications pdf

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2020, IEEE Communications Letters.

Spiking Neural Networks—Part II: Detecting Spatio-Temporal Patterns pdf

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2020, IEEE Communications Letters.

An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications.

Osvaldo Simeone, Hyeryung Jang, André Grüning, 2018 .

On the interaction between content-oriented traffic scheduling and revenue sharing among providers

Yung Yi, Hyeryung Jang, Hyojung Lee, 2013, 2013 Proceedings IEEE INFOCOM.

Learning How to Demodulate from Few Pilots via Meta-Learning

Joonhyuk Kang, Sangwoo Park, Osvaldo Simeone, 2019, 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Solving Continual Combinatorial Selection via Deep Reinforcement Learning pdf

Donggyu Yun, Yung Yi, Hyeryung Jang, 2019, IJCAI.

Learning Data Dependency with Communication Cost

Yung Yi, Hyeryung Jang, HyungSeok Song, 2018, MobiHoc.

Traffic Scheduling and Revenue Distribution Among Providers in the Internet: Tradeoffs and Impacts

Yung Yi, Hyeryung Jang, Hyojung Lee, 2017, IEEE Journal on Selected Areas in Communications.

An Introduction to Probabilistic Spiking Neural Networks.

Osvaldo Simeone, Hyeryung Jang, André Grüning, 2019 .

Distributed learning for utility maximization over CSMA-based wireless multihop networks

Jinwoo Shin, Yung Yi, SeYoung Yun, 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

Multi-Compartment Variational Online Learning for Spiking Neural Networks pdf

Osvaldo Simeone, Hyeryung Jang, Hyeryung Jang, 2020, ArXiv.

Network traffic reduction through smart network

Jaehoon Jeong, Yung Yi, Jeonghoon Mo, 2013, The International Conference on Information Networking 2013 (ICOIN).

BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning pdf

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2020, ArXiv.

An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

Osvaldo Simeone, Hyeryung Jang, Brian Gardner, 2019, IEEE Signal Processing Magazine.

On the stability of ISPs' coalition structure: Shapley value based revenue sharing

Yung Yi, Hyeryung Jang, Hyojung Lee, 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

Spiking Neural Networks - Part I: Detecting Spatial Patterns pdf

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2020, ArXiv.

Adiabatic Persistent Contrastive Divergence learning

Jinwoo Shin, Yung Yi, Hyungwon Choi, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

Simulation-Based Distributed Coordination Maximization Over Networks

Jinwoo Shin, Yung Yi, Hyeryung Jang, 2019, IEEE Transactions on Control of Network Systems.

Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck pdf

Osvaldo Simeone, Nicolas Skatchkovsky, Hyeryung Jang, 2021, NeurIPS.

Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization

Osvaldo Simeone, Hyeryung Jang, Hyeryung Jang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).