Sangwoo Park

According to our database, Sangwoo Park authored at least 51 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks.

Jiechen Chen, Sangwoo Park, Osvaldo Simeone

Entropy, February, 2024

Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction.

Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction.

Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone

IEEE Trans. Signal Process., 2024

Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone

IEEE J. Sel. Areas Inf. Theory, 2024

Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning.

Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik Chowdhury, Osvaldo Simeone

CoRR, 2024

Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference.

Jiayi Huang, Sangwoo Park, Osvaldo Simeone

CoRR, 2024

Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning.

Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone

CoRR, 2024

Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search.

Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone

CoRR, 2024

Cross-Validation Conformal Risk Control.

Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai

CoRR, 2024

Generalization and Informativeness of Conformal Prediction.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström

CoRR, 2024

2023

Online Meta-Learning for Hybrid Model-Based Deep Receivers.

Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger

IEEE Trans. Wirel. Commun., October, 2023

Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert

IEEE Trans. Cogn. Commun. Netw., August, 2023

Learning with Limited Samples: Meta-Learning and Applications to Communication Systems.

Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone

Found. Trends Signal Process., 2023

Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction.

Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone

CoRR, 2023

SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction.

Jiechen Chen, Sangwoo Park, Osvaldo Simeone

CoRR, 2023

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels.

Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger

CoRR, 2023

Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning.

Sangwoo Park, Osvaldo Simeone

CoRR, 2023

Byzantine-Resilient Federated Learning via Reverse Aggregation.

Youngjoon Lee, Sangwoo Park, Joonhyuk Kang

Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

Inter-Mode-Interference-Aware OAM Detector via Deep Learning.

Seonghoon Yoo, Jiwan Seo, Sangwoo Park, Joonhyuk Kang

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Calibration-Aware Bayesian Learning.

Jiayi Huang, Sangwoo Park, Osvaldo Simeone

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Fast-Convergent Federated Learning via Cyclic Aggregation.

Youngjoon Lee, Sangwoo Park, Joonhyuk Kang

Proceedings of the IEEE International Conference on Image Processing, 2023

Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers.

Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger

Proceedings of the IEEE International Conference on Communications, 2023

Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks.

Riccardo Marini, Sangwoo Park, Osvaldo Simeone, Chiara Buratti

Proceedings of the IEEE International Conference on Communications, 2023

Calibrating AI Models for Few-Shot Demodulation VIA Conformal Prediction.

Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz

Proceedings of the IEEE International Conference on Acoustics, 2023

Neural Filter Design for Frequency Selective Channel Equalization.

Woojun Lee, Sangwoo Park, Dongwon Kim, Joonhyuk Kang

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Bayesian Active Meta-Learning for Reliable and Efficient AI-Based Demodulation.

Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai

IEEE Trans. Signal Process., 2022

Secure wireless communication via adversarial machine learning: <i>A Priori</i> vs. <i>A Posteriori</i>.

Junghaa Seo, Sangwoo Park, Joonhyuk Kang

ICT Express, 2022

Accelerated Federated Learning via Greedy Aggregation.

Youngjoon Lee, Sangwoo Park, Jin-Hyun Ahn, Joonhyuk Kang

IEEE Commun. Lett., 2022

Block-Fading Non-Stationary Channel Estimation for MIMO-OFDM Systems via Meta-Learning.

Dongwon Kim, Sangwoo Park, Jinkyu Kang, Joonhyuk Kang

IEEE Commun. Lett., 2022

Speeding up Training of Linear Predictors for Multi-Antenna Frequency-Selective Channels via Meta-Learning.

Sangwoo Park, Osvaldo Simeone

Entropy, 2022

Calibrating AI Models for Wireless Communications via Conformal Prediction.

Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai

CoRR, 2022

Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance.

Youngjoon Lee, Sangwoo Park, Joonhyuk Kang

CoRR, 2022

Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition.

Sangwoo Park, Osvaldo Simeone

CoRR, 2022

Robust PAC^m: Training Ensemble Models Under Model Misspecification and Outliers.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert

CoRR, 2022

Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation.

Sangwoo Park, Osvaldo Simeone

Proceedings of the IEEE International Conference on Acoustics, 2022

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning.

Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang

IEEE Trans. Signal Process., 2021

Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning.

Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai

Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

Adversarial, yet Friendly Signal Design for Secured Wireless Communication.

Junghaa Seo, Sangwoo Park, Joonhyuk Kang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels.

Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning.

Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels.

Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems.

Osvaldo Simeone, Sangwoo Park, Joonhyuk Kang

Proceedings of the 2nd 6G Wireless Summit, 2020

2019

Learning How to Demodulate from Few Pilots via Meta-Learning.

Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018

Full-Duplex Cooperative Cognitive Radio Networks with Simultaneous Transmit and Receive Antennas in MIMO Channels.

Sangwoo Park, Iickho Song, Seungwon Lee, Seokho Yoon

IEICE Trans. Commun., 2018

5G K-Simulator: Link Level Simulator for 5G.

Giseung Park, Sangwoo Park, Junyeong Seo, Jungho So, Woowan Wang, Seungmin Yoo, Seung-Chan Lim, Jihoon Chung, Myungsik Cho, Daehan Ha, Joonhyuk Kang, Hyuncheol Park, Youngchul Sung

Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

Energy efficiency enhancement on cloud and edge processing by dynamic RRH selection.

Jinyeop Na, Jeongwan Koh, Sangwoo Park, Joonhyuk Kang

Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018

2016

A computationally efficient scheme for feature extraction with kernel discriminant analysis.

Hwang-Ki Min, Yuxi Hou, Sangwoo Park, Iickho Song

Pattern Recognit., 2016

Full-duplex communication in cooperative cognitive radio networks: Preliminary results.

Sangwoo Park, Jin-Hyun Ahn, Seungwon Lee, Iickho Song

Proceedings of the 37th IEEE Sarnoff Symposium 2016, Newark, NJ, USA, 2016

Effect of simultaneous transmit and receive antennas on cooperative cognitive radio networks.

Sangwoo Park, Iickho Song, Seungwon Lee, Jin-Hyun Ahn

Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016

2008

Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction.

Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Petar Popovski, Shlomo Shamai

IEEE Signal Process. Lett., 2008