Sangwoo Park - RankMe

113 papers A* 1A 1B 7Misc 3Journal 83Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction. IEEE Trans. Signal Process. Seonghoon Yoo, Sangwoo Park, Petar Popovski, Joonhyuk Kang, Osvaldo Simeone
2026	J	`jnl`	Optimizing In-Context Learning for Efficient Full Conformal Prediction. IEEE Signal Process. Lett. Weicao Deng, Sangwoo Park, Min Li, Osvaldo Simeone
2025	A*	`conf`	Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection. ICML Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
2025	J	`jnl`	Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees. CoRR Sangwoo Park, Matteo Zecchin, Osvaldo Simeone
2025	J	`jnl`	Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. IEEE Trans. Wirel. Commun. Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik R. Chowdhury, Osvaldo Simeone
2025	J	`jnl`	Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction. IEEE J. Sel. Top. Signal Process. Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone
2025	J	`jnl`	Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference. IEEE Trans. Signal Process. Jiayi Huang, Sangwoo Park, Osvaldo Simeone
2025	J	`jnl`	Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems. CoRR Osvaldo Simeone, Sangwoo Park, Matteo Zecchin
2025	J	`jnl`	Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. IEEE Trans. Signal Process. Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone
2025	J	`jnl`	Data-Efficient Prediction-Powered Calibration via Cross-Validation. CoRR Seonghoon Yoo, Houssem Sifaou, Sangwoo Park, Joonhyuk Kang, Osvaldo Simeone
2025	B	`conf`	Distilling Calibration via Conformalized Credal Inference. IJCNN Jiayi Huang, Sangwoo Park, Nicola Paoletti, Osvaldo Simeone
2025	J	`jnl`	Distilling Calibration via Conformalized Credal Inference. CoRR Jiayi Huang, Sangwoo Park, Nicola Paoletti, Osvaldo Simeone
2025	B	`conf`	Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. ISIT Matteo Zecchin, Fredrik Hellström, Sangwoo Park, Shlomo Shamai Shitz, Osvaldo Simeone
2025	J	`jnl`	Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. CoRR Matteo Zecchin, Fredrik Hellström, Sangwoo Park, Shlomo Shamai, Osvaldo Simeone
2025	J	`jnl`	Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers With Reliability Guarantees. IEEE J. Sel. Top. Signal Process. Jiechen Chen, Sangwoo Park, Osvaldo Simeone
2025	J	`jnl`	Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search. IEEE Trans. Signal Process. Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone
2025	J	`jnl`	On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization. CoRR Prabodh Katti, Sangwoo Park, Bipin Rajendran, Osvaldo Simeone
2025	—	`conf`	Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading. ProbNum Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2025	J	`jnl`	Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading. CoRR Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2025	J	`jnl`	Optimizing In-Context Learning for Efficient Full Conformal Prediction. CoRR Weicao Deng, Sangwoo Park, Min Li, Osvaldo Simeone
2025	J	`jnl`	Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment. CoRR Jiayi Huang, Sangwoo Park, Nicola Paoletti, Osvaldo Simeone
2025	J	`jnl`	Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems. CoRR Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone, Tommaso Melodia
2025	J	`jnl`	Robust Bayesian Optimization via Localized Online Conformal Prediction. IEEE Trans. Signal Process. Dongwon Kim, Matteo Zecchin, Sangwoo Park, Joonhyuk Kang, Osvaldo Simeone
2025	J	`jnl`	Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO. IEEE Trans. Signal Process. Sangwoo Park, Ahmet Hasim Gokceoglu, Li Wang, Osvaldo Simeone
2025	J	`jnl`	Uncertainty-Aware and Reliable Neural MIMO Receivers via Modular Bayesian Deep Learning. IEEE Trans. Veh. Technol. Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
2025	J	`jnl`	What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. IEEE Trans. Cogn. Commun. Netw. Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2024	J	`jnl`	Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. IEEE Wirel. Commun. Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2024	J	`jnl`	Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. Entropy Jiechen Chen, Sangwoo Park, Osvaldo Simeone
2024	J	`jnl`	Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. CoRR Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik Roy Chowdhury, Osvaldo Simeone
2024	J	`jnl`	Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference. CoRR Jiayi Huang, Sangwoo Park, Osvaldo Simeone
2024	J	`jnl`	Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. CoRR Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone
2024	B	`conf`	Cross-Validation Conformal Risk Control. ISIT Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz
2024	J	`jnl`	Cross-Validation Conformal Risk Control. CoRR Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
2024	J	`jnl`	Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. IEEE Trans. Signal Process. Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone
2024	J	`jnl`	Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone
2024	J	`jnl`	Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. IEEE J. Sel. Areas Inf. Theory Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
2024	B	`conf`	Generalization and Informativeness of Conformal Prediction. ISIT Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
2024	J	`jnl`	Generalization and Informativeness of Conformal Prediction. CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
2024	J	`jnl`	Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search. CoRR Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone
2024	—	`conf`	Neuromorphic Semantic Communications with Wake-Up Radios. SPAWC Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone
2024	J	`jnl`	Neuromorphic Split Computing With Wake-Up Radios: Architecture and Design via Digital Twinning. IEEE Trans. Signal Process. Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone
2024	J	`jnl`	Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning. CoRR Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone
2024	J	`jnl`	Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization. CoRR Amirmohammad Farzaneh, Sangwoo Park, Osvaldo Simeone
2024	J	`jnl`	Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization. IEEE Signal Process. Lett. Amirmohammad Farzaneh, Sangwoo Park, Osvaldo Simeone
2024	J	`jnl`	Robust Bayesian Optimization via Localized Online Conformal Prediction. CoRR Dongwon Kim, Matteo Zecchin, Sangwoo Park, Joonhyuk Kang, Osvaldo Simeone
2024	J	`jnl`	Robust PAC IEEE Trans. Neural Networks Learn. Syst. Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2024	J	`jnl`	Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO. CoRR Sangwoo Park, Ahmet Hasim Gokceoglu, Li Wang, Osvaldo Simeone
2024	—	`conf`	Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance. ISBI Youngjoon Lee, Sangwoo Park, Joonhyuk Kang
2024	—	`conf`	Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management. SPAWC Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone
2024	J	`jnl`	What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. CoRR Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2023	J	`jnl`	Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2023	J	`jnl`	Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. CoRR Jiechen Chen, Sangwoo Park, Osvaldo Simeone
2023	J	`jnl`	Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction. CoRR Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone
2023	—	`conf`	Byzantine-Resilient Federated Learning via Reverse Aggregation. VCC Youngjoon Lee, Sangwoo Park, Joonhyuk Kang
2023	Misc	`conf`	Calibrating AI Models for Few-Shot Demodulation VIA Conformal Prediction. ICASSP Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz
2023	—	`conf`	Calibration-Aware Bayesian Learning. MLSP Jiayi Huang, Sangwoo Park, Osvaldo Simeone
2023	J	`jnl`	Calibration-Aware Bayesian Learning. CoRR Jiayi Huang, Sangwoo Park, Osvaldo Simeone
2023	—	`conf`	Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks. ICC Riccardo Marini, Sangwoo Park, Osvaldo Simeone, Chiara Buratti
2023	B	`conf`	Fast-Convergent Federated Learning via Cyclic Aggregation. ICIP Youngjoon Lee, Sangwoo Park, Joonhyuk Kang
2023	J	`jnl`	Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction. CoRR Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone
2023	J	`jnl`	Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control. CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
2023	J	`jnl`	Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction. CoRR Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Petar Popovski, Shlomo Shamai
2023	B	`conf`	Inter-Mode-Interference-Aware OAM Detector via Deep Learning. PIMRC Seonghoon Yoo, Jiwan Seo, Sangwoo Park, Joonhyuk Kang
2023	J	`jnl`	Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. Found. Trends Signal Process. Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone
2023	—	`conf`	Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
2023	J	`jnl`	Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
2023	—	`conf`	Neural Filter Design for Frequency Selective Channel Equalization. CCNC Woojun Lee, Sangwoo Park, Dongwon Kim, Joonhyuk Kang
2023	J	`jnl`	Online Meta-Learning for Hybrid Model-Based Deep Receivers. IEEE Trans. Wirel. Commun. Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2023	J	`jnl`	Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning. CoRR Sangwoo Park, Osvaldo Simeone
2023	J	`jnl`	Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. IEEE Trans. Cogn. Commun. Netw. Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2023	J	`jnl`	SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction. CoRR Jiechen Chen, Sangwoo Park, Osvaldo Simeone
2022	J	`jnl`	Accelerated Federated Learning via Greedy Aggregation. IEEE Commun. Lett. Youngjoon Lee, Sangwoo Park, Jin-Hyun Ahn, Joonhyuk Kang
2022	J	`jnl`	Bayesian Active Meta-Learning for Reliable and Efficient AI-Based Demodulation. IEEE Trans. Signal Process. Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
2022	J	`jnl`	Block-Fading Non-Stationary Channel Estimation for MIMO-OFDM Systems via Meta-Learning. IEEE Commun. Lett. Dongwon Kim, Sangwoo Park, Jinkyu Kang, Joonhyuk Kang
2022	J	`jnl`	Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction. CoRR Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
2022	J	`jnl`	Calibrating AI Models for Wireless Communications via Conformal Prediction. CoRR Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
2022	J	`jnl`	Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks. CoRR Riccardo Marini, Sangwoo Park, Osvaldo Simeone, Chiara Buratti
2022	J	`jnl`	Fast-Convergent Federated Learning via Cyclic Aggregation. CoRR Youngjoon Lee, Sangwoo Park, Joonhyuk Kang
2022	J	`jnl`	Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction. CoRR Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone
2022	A	`conf`	Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. AISTATS Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
2022	J	`jnl`	Learning with Limited Samples - Meta-Learning and Applications to Communication Systems. CoRR Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone
2022	J	`jnl`	Online Meta-Learning For Hybrid Model-Based Deep Receivers. CoRR Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2022	Misc	`conf`	Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation. ICASSP Sangwoo Park, Osvaldo Simeone
2022	J	`jnl`	Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition. CoRR Sangwoo Park, Osvaldo Simeone
2022	J	`jnl`	Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2022	J	`jnl`	Robust PAC CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2022	J	`jnl`	Secure wireless communication via adversarial machine learning: ICT Express Junghaa Seo, Sangwoo Park, Joonhyuk Kang
2022	J	`jnl`	Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance. CoRR Youngjoon Lee, Sangwoo Park, Joonhyuk Kang
2022	J	`jnl`	Speeding up Training of Linear Predictors for Multi-Antenna Frequency-Selective Channels via Meta-Learning. Entropy Sangwoo Park, Osvaldo Simeone
2021	B	`conf`	Adversarial, yet Friendly Signal Design for Secured Wireless Communication. WCNC Junghaa Seo, Sangwoo Park, Joonhyuk Kang
2021	J	`jnl`	Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. CoRR Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
2021	J	`jnl`	Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning. IEEE Trans. Signal Process. Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2021	—	`conf`	Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning. WSA Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
2021	J	`jnl`	Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning. CoRR Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
2021	—	`conf`	Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. ICC Workshops Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang
2021	J	`jnl`	Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. CoRR Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang
2021	J	`jnl`	Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation. CoRR Sangwoo Park, Osvaldo Simeone
2020	—	`conf`	End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning. SPAWC Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang
2020	J	`jnl`	End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning. CoRR Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang
2020	—	`conf`	From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems. 6G SUMMIT Osvaldo Simeone, Sangwoo Park, Joonhyuk Kang
2020	J	`jnl`	From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems. CoRR Osvaldo Simeone, Sangwoo Park, Joonhyuk Kang
2020	Misc	`conf`	Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels. ICASSP Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang
2019	—	`conf`	Learning How to Demodulate from Few Pilots via Meta-Learning. SPAWC Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2019	J	`jnl`	Learning How to Demodulate from Few Pilots via Meta-Learning. CoRR Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2019	J	`jnl`	Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning. CoRR Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2019	J	`jnl`	Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels. CoRR Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang
2018	—	`conf`	5G K-Simulator: Link Level Simulator for 5G. DySPAN 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
2018	—	`conf`	Energy efficiency enhancement on cloud and edge processing by dynamic RRH selection. CCNC Jinyeop Na, Jeongwan Koh, Sangwoo Park, Joonhyuk Kang
2018	J	`jnl`	Full-Duplex Cooperative Cognitive Radio Networks with Simultaneous Transmit and Receive Antennas in MIMO Channels. IEICE Trans. Commun. Sangwoo Park, Iickho Song, Seungwon Lee, Seokho Yoon
2016	J	`jnl`	A computationally efficient scheme for feature extraction with kernel discriminant analysis. Pattern Recognit. Hwang-Ki Min, Yuxi Hou, Sangwoo Park, Iickho Song
2016	—	`conf`	Effect of simultaneous transmit and receive antennas on cooperative cognitive radio networks. MWSCAS Sangwoo Park, Iickho Song, Seungwon Lee, Jin-Hyun Ahn
2016	—	`conf`	Full-duplex communication in cooperative cognitive radio networks: Preliminary results. Sarnoff Symposium Sangwoo Park, Jin-Hyun Ahn, Seungwon Lee, Iickho Song
2008	J	`jnl`	Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction. IEEE Signal Process. Lett. Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Petar Popovski, Shlomo Shamai