| 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 | 88 | 2020 |
| 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 | 88 | 2019 |
| 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 | 29 | 2020 |
| Spiking neural networks—Part II: Detecting spatio-temporal patterns N Skatchkovsky, H Jang, O Simeone IEEE Communications Letters 25 (6), 1741-1745, 2021 | 22 | 2021 |
| Game theoretic perspective of optimal CSMA H Jang, SY Yun, J Shin, Y Yi IEEE Transactions on Wireless Communications 17 (1), 194-209, 2018 | 19 | 2018 |
| 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 | 18 | 2019 |
| 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 | 18 | 2014 |
| 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 | 17 | 2020 |
| 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 | 16 | 2021 |
| Learning to time-decode in spiking neural networks through the information bottleneck N Skatchkovsky, O Simeone, H Jang arXiv preprint arXiv:2106.01177, 2021 | 15 | 2021 |
| 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 | 12 | 2019 |
| 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 | 11 | 2021 |
| Spiking neural networks—Part III: Neuromorphic communications N Skatchkovsky, H Jang, O Simeone IEEE Communications Letters 25 (6), 1746-1750, 2021 | 11 | 2021 |
| Bayesian continual learning via spiking neural networks N Skatchkovsky, H Jang, O Simeone Frontiers in Computational Neuroscience 16, 1037976, 2022 | 9 | 2022 |
| End-to-end sleep staging using nocturnal sounds from microphone chips for mobile devices J Hong, HH Tran, J Jung, H Jang, D Lee, IY Yoon, JK Hong, JW Kim Nature and Science of Sleep, 1187-1201, 2022 | 9 | 2022 |
| Spiking neural networks—Part I: Detecting spatial patterns H Jang, N Skatchkovsky, O Simeone IEEE Communications Letters 25 (6), 1736-1740, 2021 | 9 | 2021 |
| Learning to broadcast for ultra-reliable communication with differential quality of service via the conditional value at risk R Karasik, O Simeone, H Jang, SS Shitz IEEE Transactions on Communications 70 (12), 8060-8074, 2022 | 8 | 2022 |
| 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 | 8 | 2019 |
| 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 | 8 | 2017 |
| 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 | 6 | 2013 |
Osvaldo SimeoneKing's College Londonkcl.ac.uk의 이메일 확인됨
