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Hyeryung Jang
Hyeryung Jang
Assistant Professor, Department of Artificial Intelligence, Dongguk University
dgu.ac.kr의 이메일 확인됨 - 홈페이지
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An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications
H Jang, O Simeone, B Gardner, A Gruning
IEEE Signal Processing Magazine 36 (6), 64-77, 2019
612019
Learning to demodulate from few pilots via offline and online meta-learning
S Park, H Jang, O Simeone, J Kang
IEEE Transactions on Signal Processing 69, 226-239, 2020
582020
Distributed learning for utility maximization over CSMA-based wireless multihop networks
H Jang, SY Yun, J Shin, Y Yi
IEEE Computer and Communications (INFOCOM) 2014, 280-288, 2014
172014
Game theoretic perspective of optimal CSMA
H Jang, SY Yun, J Shin, Y Yi
IEEE Transactions on Wireless Communications 17 (1), 194-209, 2018
162018
Spiking neural networks—Part II: Detecting spatio-temporal patterns
N Skatchkovsky, H Jang, O Simeone
IEEE Communications Letters 25 (6), 1741-1745, 2021
152021
Learning how to demodulate from few pilots via meta-learning
S Park, H Jang, O Simeone, J Kang
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
152019
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
N Skatchkovsky, H Jang, O Simeone
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
142020
VOWEL: A local online learning rule for recurrent networks of probabilistic spiking winner-take-all circuits
H Jang, N Skatchkovsky, O Simeone
2020 25th International Conference on Pattern Recognition (ICPR), 4597-4604, 2021
132021
Multi-Compartment Variational Online Learning for Spiking Neural Networks
H Jang, O Simeone
112020
End-to-end learning of neuromorphic wireless systems for low-power edge artificial intelligence
N Skatchkovsky, H Jang, O Simeone
2020 54th Asilomar Conference on Signals, Systems, and Computers, 166-173, 2020
92020
Training dynamic exponential family models with causal and lateral dependencies for generalized neuromorphic computing
H Jang, O Simeone
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
82019
Traffic scheduling and revenue distribution among providers in the internet: tradeoffs and impacts
H Lee, H Jang, J Cho, Y Yi
IEEE Journal on Selected Areas in Communications 35 (2), 421-431, 2017
82017
Learning to time-decode in spiking neural networks through the information bottleneck
N Skatchkovsky, O Simeone, H Jang
arXiv preprint arXiv:2106.01177, 2021
72021
Spiking neural networks—Part I: Detecting spatial patterns
H Jang, N Skatchkovsky, O Simeone
IEEE Communications Letters 25 (6), 1736-1740, 2021
62021
On the interaction between content-oriented traffic scheduling and revenue sharing among providers
H Lee, H Jang, Y Yi, J Cho
IEEE Computer and Communications (INFOCOM) Smart Data Pricing Workshop 2013 …, 2013
62013
BiSNN: Training spiking neural networks with binary weights via Bayesian learning
H Jang, N Skatchkovsky, O Simeone
2021 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2021
52021
Spiking neural networks—Part III: Neuromorphic communications
N Skatchkovsky, H Jang, O Simeone
IEEE Communications Letters 25 (6), 1746-1750, 2021
52021
Solving continual combinatorial selection via deep reinforcement learning
H Song, H Jang, HH Tran, S Yoon, K Son, D Yun, H Chung, Y Yi
International Joint Conference on Artificial Intelligence (IJCAI) 2019, 3467 …, 2019
52019
On the stability of ISPs' coalition structure: Shapley Value based revenue sharing
H Lee, H Jang, J Cho, Y Yi
Annual Conference on Information Sciences and Systems (CISS) 2012, 1-6, 2012
52012
On the interaction between ISP revenue sharing and network neutrality
H Jang, H Lee, Y Yi
ACM Conference on emerging Networking EXperiments and Technologies (CoNEXT …, 2010
52010
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학술자료 1–20