Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction. - Kfir M. Cohen; Sangwoo Park 002; Osvaldo Simeone; Petar Popovski; Shlomo Shamai (IEEE Signal Process. Lett., 2008)

Effect of simultaneous transmit and receive antennas on cooperative cognitive radio networks. - Sangwoo Park 002; Iickho Song; Seungwon Lee; Jin-Hyun Ahn (MWSCAS, 2016)

Full-duplex communication in cooperative cognitive radio networks: Preliminary results. - Sangwoo Park 002; Jin-Hyun Ahn; Seungwon Lee; Iickho Song (Sarnoff Symposium, 2016)

A computationally efficient scheme for feature extraction with kernel discriminant analysis. - Hwang-Ki Min; Yuxi Hou; Sangwoo Park 002; Iickho Song (Pattern Recognit., 2016)

Energy efficiency enhancement on cloud and edge processing by dynamic RRH selection. - Jinyeop Na; Jeongwan Koh; Sangwoo Park 002; Joonhyuk Kang (CCNC, 2018)

5G K-Simulator: Link Level Simulator for 5G. - Giseung Park; Sangwoo Park 002; Junyeong Seo; Jungho So; Woowan Wang; Seungmin Yoo; Seung-Chan Lim; Jihoon Chung; Myungsik Cho; Daehan Ha; Joonhyuk Kang; Hyuncheol Park; et al. (DySPAN, 2018)

Full-Duplex Cooperative Cognitive Radio Networks with Simultaneous Transmit and Receive Antennas in MIMO Channels. - Sangwoo Park 002; Iickho Song; Seungwon Lee; Seokho Yoon (IEICE Trans. Commun., 2018)

Learning How to Demodulate from Few Pilots via Meta-Learning. - Sangwoo Park 002; Hyeryung Jang; Osvaldo Simeone; Joonhyuk Kang (SPAWC, 2019)

From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems. - Osvaldo Simeone; Sangwoo Park 002; Joonhyuk Kang (6G SUMMIT, 2020)

Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels. - Sangwoo Park 002; Osvaldo Simeone; Joonhyuk Kang (ICASSP, 2020)

End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning. - Sangwoo Park 002; Osvaldo Simeone; Joonhyuk Kang (SPAWC, 2020)

Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. - Tomer Raviv; Sangwoo Park 002; Nir Shlezinger; Osvaldo Simeone; Yonina C. Eldar; Joonhyuk Kang (ICC Workshops, 2021)

Adversarial, yet Friendly Signal Design for Secured Wireless Communication. - Junghaa Seo; Sangwoo Park 002; Joonhyuk Kang (WCNC, 2021)

Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning. - Kfir M. Cohen; Sangwoo Park 002; Osvaldo Simeone; Shlomo Shamai (WSA, 2021)

Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning. - Sangwoo Park 002; Hyeryung Jang; Osvaldo Simeone; Joonhyuk Kang (IEEE Trans. Signal Process., 2021)

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. - Sharu Theresa Jose; Sangwoo Park 002; Osvaldo Simeone (AISTATS, 2022)

Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation. - Sangwoo Park 002; Osvaldo Simeone (ICASSP, 2022)

Robust PACm: Training Ensemble Models Under Model Misspecification and Outliers. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Marios Kountouris; David Gesbert (CoRR, 2022)

Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition. - Sangwoo Park 002; Osvaldo Simeone (CoRR, 2022)

Calibrating AI Models for Wireless Communications via Conformal Prediction. - Kfir M. Cohen; Sangwoo Park 002; Osvaldo Simeone; Shlomo Shamai (CoRR, 2022)

Speeding up Training of Linear Predictors for Multi-Antenna Frequency-Selective Channels via Meta-Learning. - Sangwoo Park 002; Osvaldo Simeone (Entropy, 2022)

Block-Fading Non-Stationary Channel Estimation for MIMO-OFDM Systems via Meta-Learning. - Dongwon Kim; Sangwoo Park 002; Jinkyu Kang; Joonhyuk Kang (IEEE Commun. Lett., 2022)

Accelerated Federated Learning via Greedy Aggregation. - Youngjoon Lee; Sangwoo Park 002; Jin-Hyun Ahn; Joonhyuk Kang (IEEE Commun. Lett., 2022)

Secure wireless communication via adversarial machine learning: A Priori vs. A Posteriori. - Junghaa Seo; Sangwoo Park 002; Joonhyuk Kang (ICT Express, 2022)

Bayesian Active Meta-Learning for Reliable and Efficient AI-Based Demodulation. - Kfir M. Cohen; Sangwoo Park 002; Osvaldo Simeone; Shlomo Shamai (IEEE Trans. Signal Process., 2022)

Neural Filter Design for Frequency Selective Channel Equalization. - Woojun Lee; Sangwoo Park 002; Dongwon Kim; Joonhyuk Kang (CCNC, 2023)

Calibrating AI Models for Few-Shot Demodulation VIA Conformal Prediction. - Kfir M. Cohen; Sangwoo Park 002; Osvaldo Simeone; Shlomo Shamai Shitz (ICASSP, 2023)

Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks. - Riccardo Marini; Sangwoo Park 002; Osvaldo Simeone; Chiara Buratti (ICC, 2023)

Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Nir Shlezinger (ICC Workshops, 2023)

Fast-Convergent Federated Learning via Cyclic Aggregation. - Youngjoon Lee; Sangwoo Park 002; Joonhyuk Kang (ICIP, 2023)

Calibration-Aware Bayesian Learning. - Jiayi Huang; Sangwoo Park 002; Osvaldo Simeone (MLSP, 2023)

Inter-Mode-Interference-Aware OAM Detector via Deep Learning. - Seonghoon Yoo; Jiwan Seo; Sangwoo Park 002; Joonhyuk Kang (PIMRC, 2023)

Byzantine-Resilient Federated Learning via Reverse Aggregation. - Youngjoon Lee; Sangwoo Park 002; Joonhyuk Kang (VCC, 2023)

Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning. - Sangwoo Park 002; Osvaldo Simeone (CoRR, 2023)

SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction. - Jiechen Chen; Sangwoo Park 002; Osvaldo Simeone (CoRR, 2023)

Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. - Lisha Chen; Sharu Theresa Jose; Ivana Nikoloska; Sangwoo Park 002; Tianyi Chen; Osvaldo Simeone (Found. Trends Signal Process., 2023)

Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Marios Kountouris; David Gesbert (IEEE Trans. Cogn. Commun. Netw., 2023)

Online Meta-Learning for Hybrid Model-Based Deep Receivers. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Yonina C. Eldar; Nir Shlezinger (IEEE Trans. Wirel. Commun., 2023)

Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance. - Youngjoon Lee; Sangwoo Park 002; Joonhyuk Kang (ISBI, 2024)

Cross-Validation Conformal Risk Control. - Kfir M. Cohen; Sangwoo Park 002; Osvaldo Simeone; Shlomo Shamai Shitz (ISIT, 2024)

Generalization and Informativeness of Conformal Prediction. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Fredrik Hellström (ISIT, 2024)

Neuromorphic Semantic Communications with Wake-Up Radios. - Jiechen Chen; Sangwoo Park 002; Petar Popovski; H. Vincent Poor; Osvaldo Simeone (SPAWC, 2024)

Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management. - Yunchuan Zhang; Sangwoo Park 002; Osvaldo Simeone (SPAWC, 2024)

Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference. - Jiayi Huang; Sangwoo Park 002; Osvaldo Simeone (CoRR, 2024)

What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. - Qiushuo Hou; Sangwoo Park 002; Matteo Zecchin; Yunlong Cai; Guanding Yu; Osvaldo Simeone (CoRR, 2024)

Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone (IEEE J. Sel. Areas Inf. Theory, 2024)

Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization. - Amirmohammad Farzaneh; Sangwoo Park 002; Osvaldo Simeone (IEEE Signal Process. Lett., 2024)

Neuromorphic Split Computing With Wake-Up Radios: Architecture and Design via Digital Twinning. - Jiechen Chen; Sangwoo Park 002; Petar Popovski; H. Vincent Poor; Osvaldo Simeone (IEEE Trans. Signal Process., 2024)

Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. - Meiyi Zhu; Matteo Zecchin; Sangwoo Park 002; Caili Guo; Chunyan Feng; Osvaldo Simeone (IEEE Trans. Signal Process., 2024)

Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction. - Sangwoo Park 002; Kfir M. Cohen; Osvaldo Simeone (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. - Jiechen Chen; Sangwoo Park 002; Osvaldo Simeone (Entropy, 2024)

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Yonina C. Eldar; Nir Shlezinger (IEEE Wirel. Commun., 2024)

Robust PACm: Training Ensemble Models Under Misspecification and Outliers. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Marios Kountouris; David Gesbert (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Bayesian Optimization via Localized Online Conformal Prediction. - Dongwon Kim; Matteo Zecchin; Sangwoo Park 002; Joonhyuk Kang; Osvaldo Simeone (IEEE Trans. Signal Process., 2025)

Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO. - Sangwoo Park 002; Ahmet Hasim Gokceoglu; Li Wang 024; Osvaldo Simeone (IEEE Trans. Signal Process., 2025)

Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search. - Yunchuan Zhang; Sangwoo Park 002; Osvaldo Simeone (IEEE Trans. Signal Process., 2025)

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. - Meiyi Zhu; Matteo Zecchin; Sangwoo Park 002; Caili Guo; Chunyan Feng; Petar Popovski; Osvaldo Simeone (IEEE Trans. Signal Process., 2025)

Distilling Calibration via Conformalized Credal Inference. - Jiayi Huang; Sangwoo Park 002; Nicola Paoletti; Osvaldo Simeone (CoRR, 2025)

Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. - Matteo Zecchin; Fredrik Hellström; Sangwoo Park 002; Shlomo Shamai; Osvaldo Simeone (CoRR, 2025)

Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers With Reliability Guarantees. - Jiechen Chen; Sangwoo Park 002; Osvaldo Simeone (IEEE J. Sel. Top. Signal Process., 2025)

Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction. - Yunchuan Zhang; Sangwoo Park 002; Osvaldo Simeone (IEEE J. Sel. Top. Signal Process., 2025)

Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading. - Qiushuo Hou; Sangwoo Park 002; Matteo Zecchin; Yunlong Cai; Guanding Yu; Osvaldo Simeone (CoRR, 2025)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems. - Osvaldo Simeone; Sangwoo Park 002; Matteo Zecchin (CoRR, 2025)

Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. - Qiushuo Hou; Matteo Zecchin; Sangwoo Park 002; Yunlong Cai; Guanding Yu; Kaushik R. Chowdhury; Osvaldo Simeone (IEEE Trans. Wirel. Commun., 2025)

Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees. - Sangwoo Park 002; Matteo Zecchin; Osvaldo Simeone (CoRR, 2025)

Data-Efficient Prediction-Powered Calibration via Cross-Validation. - Seonghoon Yoo; Houssem Sifaou; Sangwoo Park 002; Joonhyuk Kang; Osvaldo Simeone (CoRR, 2025)