[B6] J. Choi, H. Nam, J. Park, S.-W. Ko, J. Choi, M. Bennis, and S.-L. Kim, "Interoperable Semantic Communication," Foundation of Semantic Communication Networks, to be published by Wiley (editors: W. Saad, C. Chaccour, C. Thomas, and M. Debbah).

[B5] H. Baek, H. Lee, S. Park, H. Lee, J. Park, and J. Kim “AI-Native Communications,” Fundamentals of 6G Communications and Networking, Springer, DOI: 10.1007/978-3-031-37920-8 (editors: X. Lin, J. Zhang, Y. Liu, and J. Kim).

[B4] H. Lee, S. Park, H. Baek, C. Park, S. Son, J. Park, and J. Kim “AI-Native Network Algorithms and Architectures,” Fundamentals of 6G Communications and Networking, Springer, DOI: 10.1007/978-3-031-37920-8  (editors: X. Lin, J. Zhang, Y. Liu, and J. Kim).

[B3] W, Yun, S. Park, R. Lee, J. Park, Y.-C. Ko, and J. Kim “Semantic Communications and Networking,” Fundamentals of 6G Communications and Networking, Springer, DOI: 10.1007/978-3-031-37920-8  (editors: X. Lin, J. Zhang, Y. Liu, and J. Kim).

[B2] H. Seo, J. Park, S. Oh, S.-L. Kim, and M. Bennis, “Federated Knowledge Distillation," Machine Learning and Wireless Communications, Cambridge University Press, DOI: 10.1017/9781108966559 (editors: H. V. Poor, D. Gunduz, A. Goldsmith, and Y. Eldar).

[B1] H. Kim, J. Park, M. Bennis, S.-L. Kim, and M. Debbah, “Mean-Field Game-Theoretic Edge Caching,” Edge Caching for Mobile Networks, IET, DOI: 10.1049/PBTE096E (editors: W. Chen and H. V. Poor).

Published/Accepted Papers:

[J50] J. Choi, J. Park, S.-W. Ko, J. Choi, M. Bennis, and S.-L. Kim, "Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication," to appear in IEEE Transactions on Vehicular Technology.

[J49] J. Choi, B. Li, B. Homassi, J. Park, and S.-L. Kim, "Spectrum Sharing through Marketplaces for O-RAN based Non-Terrestrial and Terrestrial Networks," to appear in IEEE Internet of Things Magazine.

[J48] J. Choi, S. Krishnan, and J. Park, "Latency-Optimal Resource Allocation for UAV-aided LEO Communication," to appear in IEEE Trasactions on Vehicular Technology.

[J47] B. Li, J. Park, A. Al-Hourani, S. Pokhrel, and J. Choi, "A Novel Frequency Reuse Model for Co-Existing LEO and GEO Satellites," to appear in IEEE Wireless Communications Letters.

[J46] A. Girgis, H. Seo, J. Park, and M. Bennis, "Semantic and Logical Communication-Control Co-Design for Correlated Dynamical Systems," to appear in  IEEE Internet of Things Journal.

[J45] S. Oh, H. Nam, J. Park, P. Vepakomma, R. Raskar, M. Bennis, and S.-L. Kim, "Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning," to appear in IEEE Transactions on Big Data.

[J44] S. Seo, J. Park, S.-W. Ko, J. Choi, M. Bennis, and S.-L. Kim, "Towards Semantic Protocols: A Probabilistic Logic Approach," to appear in IEEE Journal of Selected Topics in Communications.

[J43] H. Seo, J. Park, M. Bennis, and M. Debbah, "Semantics-Native Communication with Contextual Reasoning," to appear in IEEE Transactions on Cognitive Communications and Networking.

[J42] W. J. Yoon, Y. Kwak, H. Baek, S. Jung, M. Ji, M. Bennis, J. Park, and J., Kim, "SlimFL: Federated Learning with SuperpositionCoding over Slimmable Neural Networks," to appear in IEEE/ACM Transactions on Networking.

[J41] J. Choi, S. Loke, and J. Park, "A Unified Approach to Semantic Information and Communication based on Probabilistic Logic," to appear in IEEE Access.

[J40] M. Nemati, B. Homassi, S. Krishnan, J. Park, S. Loke, and J. Choi, "Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks," to appear in MDPI Drones.

[J39] J.-H. Lee, J. Park, M. Bennis, and Y.-C. Ko, “Integrating LEO Satellite and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks,” to appear in IEEE Transactions on Vehicular Technology.

[J38] C. Chen, T. Nishio, M. Bennis, and J. Park, "RF-Inpainter: Multimodal Image Inpainting based on Vision and Radio Signals," to appear in IEEE Access.

[J37] A. Girgis, H. Seo, J. Park, M. Bennis, and J. Choi, “Predictive Closed-Loop Remote Control via Two-Way Split Koopman Autoencoder,” to appear in IEEE Internet of Things Journal.

[J36] Y. Kwak, W. J. Yun, J. P. Kim, H. Cho, J. Park, M. Choi, S. Jung, and J. Kim, "Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications," ICT Express, Aug. 2022, https://doi.org/10.1016/j.icte.2022.08.004.

[J35] R. Silva, J. Choi, J. Park, G. Brante, and R. Souza, "Multi-Channel ALOHA Optimization for Federated Learning with Multiple Models," IEEE Wireless Communications Letters, vol. 11, no. 10, pp. 2180-2184, Oct. 2022.

[J34] J.-H. Lee, H. Seo, J. Park, M. Bennis, and Y.-C. Ko, "Learning Emergent Random Access Protocol for LEO Satellite Networks," to appear in IEEE Transactions on Wireless Communications.

[J33] H. Shiri, H. Seo, J. Park, and M. Bennis, "Attention Based Communication and Control for Multi-UAV Path Planning," IEEE Wireless Communications Letters, vol. 11, no. 7, pp. 1409-1413, Jul. 2022.

[J32] J. Park, S. Samarakoon, H. Shiri, M. Abdel-Aziz, T. Nishio, A. Elgabli, and M. Bennis, “Extreme Ultra-Reliable and Low-Latency Communication,” Nature Electronics, vol. 5, pp. 133-141, Mar. 2022. 

[J31] C. Issaid, A. Elgabli, J. Park, M. Bennis, and M. Debbah, “Communication Efficient Decentralized Learning Over Bipartite Graphs,” IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 4150-4167, Jun. 2022.

[J30] J. Choi, J. Park, M. Yerzhanov, and Y.-H. Kim, "Deep Learning Driven Beam Selection for Orthogonal Beamforming with Limited Feedback" ICT Express, Nov. 2021, https://doi.org/10.1016/j.icte.2021.10.008.

[J29] A. Pipaoy, J. Park, M. Bennis and M. Debbah, "Predictive Control and Communication Co-Design via Two-Way Gaussian Process Regression and AoI-Aware Scheduling," IEEE Transactions on Communications, vol. 69, no. 10, pp.7077-7093, Jul. 2021.

[J28] T. Nishio, Y. Koda, J. Park, M. Bennis, and K. Doppler, "When Wireless Communications Meet Computer Vision in Beyond 5G," IEEE Communications Standards Magazine, vol. 5, no. 2, pp. 76 - 83, Jun. 2021.

[J27] A. Elgabli, J. Park, C. Issaid, and M. Bennis, “Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning,” IEEE Transactions on Communications, vol. 69, no. 8, pp. 5194-5208, Aug. 2021.

[J26] J. Park, S. Samarakoon, A. Elgabli, J. Kim, M. Bennis, S.-L. Kim, and M. Debbah, “Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications,” Proceedings of the IEEE, vol. 109, no. 5, pp. 796-819, May 2021.

[J25] J. Choi, J. Park, and S. Pokhrel, “Explore-Before-Talk: Multichannel Selection Diversity for Uplink Massive Machine-Type Communication,” IEEE/KICS Journal of Communications and Networks, vol. 23, no. 1, pp. 23-33, Feb. 2021.

[J24] M. Nemati, J. Park, and J. Choi, “RIS-Assisted Coverage Enhancement in Millimeter-Wave Cellular Networks,” IEEE Access, vol. 8, pp. 188171-188185, Oct. 2020.

[J23] E. Jeong, J. Park, S. Oh, H. Kim, M. Bennis, and S.-L. Kim, “Hiding in the Crowd: Federated Data Augmentation for On-Device Learning,” IEEE Intelligent Systems, vol. 36, no. 5, pp. 80-87, Sep.-Oct., 2021.

[J22] A. Elgabli, J. Park, A. Bedi, C. Issaid, M. Bennis, and V. Aggarwal, “Q-GADMM: Quantized Group ADMM fof Communication Efficient Decentralized Machine Learning,” IEEE Transactions on Communications, vol. 69, no. 1, pp. 164-181, January 2021 .

[J21] H. Shiri, J. Park, and M. Bennis, “Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory,” IEEE Transactions on Communications, vol. 68, no. 11, pp. 6840-6857, November 2020.

[J20] S. Pokhrel, J. Ding, J. Park, O-S. Park, and J. Choi, “Towards Enabling Critical mMTC: A Review of URLLC within mMTC,” IEEE Access, vol. 8, pp. 131796-131813, July 2020.

[J19] S. Oh, E. Jeong, J. Park, H. Kim, M. Bennis, and S.-L. Kim, “Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup,” IEEE Communication Letters, vol. 24, no. 10, pp. 2211-2215, October 2020.

[J18] G. Lee, J. Park, M. Bennis, and W. Saad, “Performance Analysis of Blockchain Systems with Wireless Mobile Miners,” IEEE Networking Letters, vol. 2, no. 3, pp. 111-115, September 2020.

[J17] H. Cha, J. Park, H. Kim, M. Bennis, and S.-L. Kim, “Proxy Experience Replay: Federated Distillation for  Distributed Reinforcement Learning,” IEEE Intelligent Systems, vol. 35, no. 4, pp. , 94-101, July-August, 2020.

[J16] H. Seo, J. Park, M. Bennis, and W. Choi, “Communication and Consensus Co-Design for Low-Latency and Reliable Industrial IoT Systems,” IEEE Internet of Things Journal, vol. 8, no. 1, pp. 129-143, January 2021.

[J15] A. Elgabli, J. Park, A. Bedi, V. Aggarwal, and M. Bennis, “GADMM: Fast and Communication Efficient Distributed Machine Learning Framework,” Journal of Machine Learning Research (JMLR), vol. 21, no. 76, April 2020. 

[J14] H. Shiri, J. Park, and M. Bennis, “Remote UAV Online Path Planning via Neural Network Based Opportunistic Control,” IEEE Wireless Communications Letters, vol. 9, no. 6, pp. 861-865, June 2020.

[J13] Y. Koda, J. Park, M. Bennis, T. Nisio, K. Yamamoto, and K. Nakashima, “Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction,” IEEE Communications Letters, vol. 24, no. 6, pp. 1284-1288, June 2020.

[J12] H. Kim, J. Park, M. Bennis, S.-L. Kim, and M. Debbah, “Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 935-947, January 2020.-

[J11] J. Park, S. Samarakoon, M. Bennis, and M. Debbah “Wireless Network Intelligence at the Edge,” Proceedings of the IEEE, vol. 107, no. 11, pp. 2204-2239, November 2019. 

[J10] H. Kim, J. Park, M. Bennis, and S.-L. Kim, “Blockchained On-Device Federated Learning,“ IEEE Communications Letters, vol. 24, no. 6, pp. 1279-1283, June 2020. 

[J9] M. Elbamby, C. Perfecto, C.-F. Liu, J. Park, S. Samarakoon, X. Chen, and M. Bennis, “Wireless Edge Computing with Latency and Reliability Guarantees,” Proceedings of the IEEE, vol. 107, no. 8, pp. 1717-1737, August 2019 (invited paper).

[J8] M. Rebato, J. Park, P. Popovski, E. Carvalho, M. Zorzi, “Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with Realistic Channel and Antenna Radiation Models,” IEEE Transactions on Communications, vol. 67, no. 5, pp. 3736-3752, May 2019.

[J7] J. Park, P. Popovski, and O. Simeone, “Minimizing Latency to Support VR Social Interactions over Wireless Cellular Systems via Bandwidth Allocation,” IEEE Wireless Communications Letters, vol. 7, no. 5, pp. 776-779, April 2018. 

[J6] P. Popovski, J. Nielsen, C. Stefanovic, E. Carvalho, E. Ström, K. Trillingsgaard, A. Bana, D. Kim, R. Kotaba,  J. Park, and R. Sørensen, “Wireless Access for Ultra-Reliable Low-Latency Communication (URLLC): Principles and Building Blocks,” IEEE Network, vol. 32, no. 2, pp. 16-23, March 2018.

[J5] J. Kim, J. Park, S. Kim, S.-L. Kim, K. Sung, and K. Kim, “Millimter-Wave Interference Avoidance via Building-Aware Associations,” IEEE Access, vol. 6, pp. 10618-10634, February 2018.

[J4] J. Park and P. Popovski, “Coverage and Rate of Downlink Sequence Transmissions with Reliability Guarantees,” IEEE Wireless Communications Letters, vol. 6, no. 6, pp. 722-725, December 2017. 

[J3] J. Park, S.-L. Kim, and J. Zander, “Tractable Resource Management with Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 6, pp. 4362–4379, June 2016.

[J2] T. Shim, J. Park, S.-W. Ko, S.-L. Kim, B. Lee, and J. Choi, “Traffic Convexity Aware Cellular Networks: A Vehicular Heavy User Perspective,” IEEE Wireless Communications, vol. 23, no. 1, pp. 88-94, February 2016.

[J1] Y. Hwang, J. Park, K. Sung, and S.-L. Kim, “On the Throughput Gain of Device-to-Device Communications,” ICT Express, 2015, http://dx.doi.org/10.1016/j.icte.2015.09.005.

Preprints:

• G. Cicchetti, E. Grassucci, J. Park, J. Choi, S. Barbarossa, D. Comminiello, "Language-Oriented Semantic Latent Representation for Image Transmission," submitted to IEEE MLSP 2024.

• S. Krishnan, J. Park, G. Sherman, B. Campbell, and J. Choi, "Koopman Autoencoder via Singular Value Decomposition for Data-Driven Long-Term Prediction," submitted to IEEE MLSP 2024.

• J. Kim, S. Oh, J. Park, H. Baek, H. Lee, J. Kim, and S.-L. Kim, "Shifting from Knowledge to Infidelity Distillation for Fast and Accurate Distributed Quantum Machine Learning," submitted to IJCAI 2024 QAI Workshop.

• C. Lim, J. Park, J. Choi, J.-H. Kee, D. Oh, and H. Kim, "Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks," submitted to IEEE VTC-Spring 2024.

Presented/Accepted Papers:

[C71]  J. Choi, J. Park, E. Grassucci, and D. Comminiello, “Semantic Communication Challenges: Understanding Dos and Avoiding Don’ts,” to be presented at IEEE VTC-Spring 2024.

[C70] J. Choi, S. Krishnan, and J. Park, “Low-Latency Resource Allocation for Store-and-Forward Transmission in UAV-aided LEO Communication,” to be presented at IEEE VTC-Spring 2024.

[C69] S. Krishnan, J. Park, G. Sherman, B. Campbell, and J. Choi, “Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance,” to be presented at IEEE VTC-Spring 2024.

[C68] Y. Kim, S. Seo, J. Park, M. Bennis, S.-L. Kim, and J. Choi, "Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control," to be presented at IEEE ICC'24.

[C67] H. Nam, J. Park, J. Choi, M. Bennis, and S.-L. Kim, "Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation," to be presented at IEEE ICASSP 2024 Special Session on Generative Semantic Communication.

[C66] M. Awais, J. Choi, J. Park, and Y. H. Kim, “Data Aided Sensing with Variational Autoencoder,” ICAIIC 2024.

[C65] H. Lee, S. Kim, J. Park, and J. Choi, "Energy-Efficient Downlink Semantic Generative Communication with Text-to-Image Generators," to be presented at IEEE GLOBECOM 2023 Wksp. Semantic Communication for 6G (SC6G).

[C64] H. Kim, M. Hwang, J. Jee, J. Park, and H. Park, "3D State Transition Modeling and Power Allocation for UAV-aided ISAC System," to be presented at IEEE VTC-Fall 2023.

[C63] M. Nemati, J. Park, and J. Choi, "VQ-VAE Empowered Wireless Communication for Joint Source-Channel Coding and Beyond," to be presented at IEEE GLOBECOM 2023.

[C62] S. Krishnan, M. Nemati, S. Loke, J. Park, and J. Choi, "Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction," to be presented at IEEE GLOBECOM 2023.

[C61] B. Li, J. Park, H. Kim, D. Oh, and J. Choi, "On Ka-Band Utilization Towards Non-Terrestrial Networks," to be presented at ISCIT 2023.

[C60] J. Park, J. Choi, S.-L. Kim, and M. Bennis, "Enabling the Wireless Metaverse via Semantic Multiverse Communication," to be presented at IEEE SECON 2023 Wksp. Semantic Communication for 6G (SC6G).

[C59] S. Seo, J. Park, S.-W. Ko, J. Choi, M. Bennis, and S.-L. Kim, "Semantic Communication Protocol: Demystifying Deep Neural Networks via Probabilistic Logic," to be presented at IEEE SECON 2023 Wksp. Semantic Communication for 6G (SC6G).

[C58] H. Nam, J. Park, J. Choi, and S.-L. Kim, "Sequential Semantic Generative Communication for Progressive Text-to-Image Generation," to be presented at IEEE SECON 2023 Wksp. Semantic Communication for 6G (SC6G).

[C57] S. Krishnan, J. Park, S. Sagar, G. Sherman, B. Campbell, and J. Choi, "Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks," to be presented at IEEE SSP 2023.

[C56] H. Nam, J. Park, and S.-L. Kim, "Active Wireless Split Learning via Online Cloud-Local Server Delta-Knowledge Distillation," to be presented at IEEE ICC Wksp. Edge5GMN.

[C55] W. J. Yun, J. Park, and J. Kim, "Quantum Multi-Agent Meta Reinforcement Learning," presented at AAAI 2023.

[C54] S. Oh, J. Park, S. Baek, H. Nam, P. Vepakomma, R. Raskar, M. Bennis, and S.-L. Kim, "Differentially Private CutMix for Split Learning with Vision Transformer," to be presented at NeurIPS 2022 Wksp Interpolation and Beyond (NeurIPS-INTERPOLATE'22).

[C53] J. Choi and J. Park, "Semantic Communication as a Signaling Game with Correlated Knowledge Bases," to be presented at IEEE VTC-Fall Wksp. Semantic Communications.

[C52] W. J. Yun, J. P. Kim, S. Jung, J. Park, M. Bennis, and J. Kim, "Slimmable Quantum Federated Learning," to be presented at ICML 2022 Wksp. Dynamic Neural Networks.

[C51] S. Baek, J. Park, P. Vepakomma, R. Raskar, M. Bennis, and S.-L. Kim, "Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning," to be presented at IJCAI 2022 Wksp. Trustworthy Federated Learning (FL-IJCAI'22).

[C50] S. Yu, J. Park, S, Kim, and S.-W. Ko, "Combinatorial Data Augmentation for Real-Time Indoor Positioning: Concepts and Experiments," to be presented at IEEE VTC-Spring 2022 Wksp. Intelligent IoT Connectivity, Automation and Applications.

[C49] J.-H. Lee, H. Seo, J. Park, M. Bennis, J. Kim, and Y.-C. Ko, "Random Access Protocol Learning in LEO Satellite Networks via Reinforcement Learning," to be presented at IEEE VTC-Spring 2022 Wksp. Data Driven Optimization for 6G Wireless Networks.

[C48] W. J. Yoon, Y. Kwak, J. P. Kim, H. Cho, S. Jung, J. Park, and J., Kim, "Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design," to be presented at IEEE ICDCS 2022.

[C47] J. Choi, S. Loke, and J, Park, “A Unified View on Semantic Information and Communication: A Probabilistic Logic Approach," to be presented at IEEE ICC 2022 Wksp. Semantic Communications.

[C46] S. Oh, J. Park, P. Vepakomma, S. Baek, R. Raskar, M. Bennis, and S.-L. Kim, “LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning,” to be presented at WWW 2022.

[C45] S. Pal, M. Uniyal, J. Park, P. Vepakomma, R. Raskar, M. Jeon, and J. Choi, “Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning,” to be presented at AAAI 2021 Wksp. Trustable, Verifiable and Auditable Federated Learning (FL-AAAI).

[C44] H. Baek, W. J. Yun, Y. Kwak, S. Jung, M. Ji, M. Bennis, J. Park, and , “Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks," to be presented at IEEE INFOCOM 2022.

[C43] M. Nemati, J. Park, M. Jeon, and J. Choi, "Anomaly Detection for Wireless Communication Links via Data Integrity Modeling," presented at APSIPA 2021.

[C42] Y. Koda, J. Park, M. Bennis, P. Vepakomma, and R. Raskar, "AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning," to be presented at IEEE GLOBECOM 2021.

[C41] H. Baek, W.J. Yun, J. Park, S. Jung, M. Ji, J. Kim, and M. Bennis, "Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding," presented at ICML 2021 Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (FL-ICML).

[C40] Y. Yoon, B. Lim, S. Jung, Y-C. Ko, J. Park, J. Kim, and M. Bennis, "Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication," to be presented at IEEE ISWCS 2021.

[C39] S. Seo, S. Ko, J. Park, S.-L. Kim, and M. Bennis, "Communication-Efficient Federated Winning Ticket Discovery," to be presented at IEEE SPAWC 2021.

[C38] S. Samarakoon, J. Park, and M. Bennis, "Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations," to be presented at IEEE SPAWC 2021.

[C37] A. Pipoyi, H. Seo, J. Park, M. Bennis, and J. Choi, "Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction," to be presented at IEEE PIMRC 2021.

[C36] P.  Han, J. Park, S. Wang, and Y. Liu, “Robustness and Diversity Seeking Data-Free Knowledge Distillation,” Proc. IEEE ICASSP 2021.

[C35] H. Chen, S. Asif, J. Park, C-C. Shen, and M. Bennis, "Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus," presented at AAAI 2020 Wksp. Towards Robust, Secure, and Efficient Machine Learning (AAAI-RSEML).

[C34] J.-H. Lee, J. Park, M. Bennis, and Y.-C. Ko, “Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks,” Proc. IEEE GLOBECOM 2020.

[C33] M. Shin, C. Hwang, J. Kim, J. Park, M. Bennis, and S.-L. Kim, “XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning,” presented at ICML 2020 Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (FL-ICML).

[C32] A. Girgis, J. Park, C.-F. Liu, and M. Bennis, “Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach,” Proc. IEEE SPAWC 2020 (invited paper).

[C31] A. Elgabli, J. Park, A. Bedi, V. Aggarwal, and M. Bennis, “Communication Efficient Framework for Decentralized Machine Learning,” Proc. CISS 2020 (invited paper).

[C30] A. Elgabli, J. Park, A. Bedi, V. Aggarwal, and M. Bennis, “L-FGADMM: Layer-Wise Federated Group ADMM for Communication-Efficient Decentralized Deep Learning,” Proc. IEEE WCNC 2020.

[C29] A. Elgabli, J. Park, A. Bedi, V. Aggarwal, and M. Bennis, “Q-GADMM: Quantized Group ADMM for Communication-Efficient Decentralized Machine Learning,” Proc. IEEE ICASSP 2020 (invited paper).

[C28] Y. Koda, J. Park, M. Bennis, T. Nisio, K. Yamamoto, M. Mourikura, “One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction,” Proc. ACM CoNEXT 2019.

[C27] H. Shiri, J. Park, and M. Bennis, “Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach,” Proc. IEEE GLOBECOM 2019. 

[C26] H. Cha, J. Park, H. Kim, S.-L. Kim, and M. Bennis “Federated Reinforcement Distillation with Proxy Experience Memory,“ presented at IJCAI Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (IJCAI-FML), Macau, August 2019.

[C25] E. Jeong, S. Oh, J. Park, H. Kim, M. Bennis, and S.-L. Kim, “Multi-Hop Federated Private Data Augmentation with Sample Compression,“ presented at IJCAI Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (IJCAI-FML), Macau, August 2019.

[C24] J. Park, S. Samarakoon, A. Elgabli, M. Elbamby, C.-F. Liu, T. Vu, H Shiri, M. Abdel-Aziz, M. Krouka, H. Khan, M. Jahandideh, A. Giris, and M. Bennis, “Intelligent Connectivity and Networks,” presented at 6G Wireless Summit, Levi, Finland, March 2019 (poster). 

[C23] E. Jeong, S. Oh, H. Kim, J. Park, M. Bennis, and S.-L. Kim, “Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data,” presented at NeurIPS Wksp. Machine Learning on the Phone and other Consumer Devices (MLPCD), Montréal, Canada, December 2018.

[C22] H. Seo, J. Park, M. Bennis, and W. Choi, “Consensus-Before-Talk: Distributed Dynamic Spectrum Access via Distributed Spectrum Ledger Technology,” Proc. IEEE DySPAN, Seoul, Korea, October 2018.

[C21] J. Park and M. Bennis, “URLLC-eMBB Slicing to Support VR Multimodal Perceptions over Wireless Cellular Systems,” Proc. IEEE GLOBECOM, Abu Dhabi, UAE, December 2018.

[C20]  H. Kim, J. Park, M. Bennis, and S.-L. Kim, “Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach,“ Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Kalamata, Greece, June 2018 (invited paper).

[C19] M. Rebato, J. Park, P. Popovski, E. Carvalho, M. Zorzi, “Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model,” Proc. IEEE Global Communications Conference (GLOBECOM), Singapore, December 2017.

[C18] D. Kim, J. Park, E. Carvalho, C. Manchón, “Massive MIMO Functionality Splits based on Hybid Analog-Digital Precoding in a C-RAN Architecture,” Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2017.

[C17] M. Hamidouche, E. Baştuğ, J. Park, L. Cottatellucci, and M. Debbah, “Downlink Performance of Dense Antenna Deployment: To Distribute of Concentrate?,” Proc. IEEE Personal, Indoor and Mobile Radio Communications (PIMRC), Montreal, QC, Canada, October 2017.

[C16] Y. Yang, K. Sung, J. Park, S.-L. Kim, and K. Kim, “Cooperative Transmissions in Ultra-Dense Networks under a Dual-Slope Path Loss Model,” Proc. European Conference on Networks and Communications (EuCNC), Oulu, Finland, June 2017.

[C15] J. Park, D. Kim, P. Popovski, and S.-L. Kim, “Revisiting Frequency Reuse towards Supporting Ultra-Reliable Ubiquitous-Rate Communication,” Proc. IEEE Int’l Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) Workshop on Spatial Stochastic Models for Wireless Networks (SpaSWiN), Paris, France, May 2017.

[C14] Y. Yang, J. Park, and K. Sung, “On the Asymptotic Behavior of Ultra-Densification under a Bounded Dual-Slope Path Loss Model,” Proc. European Wireless Conference (EW), Dresden, Germany, May 2017.

[C13] H. Kim, J. Park, M. Bennis, S.-L. Kim, and M. Debbah, “Ultra-Dense Edge Caching under Spatio-Temporal Demand and Network Dynamics,” Proc. IEEE Int’l Conference on Communications (ICC), Paris, France, May, 2017

[C12] J. Park, S. Y. Jung, M. Bennis, S.-L. Kim, and M. Debbah, “User-Centric Mobility Management in Ultra-Dense Cellular Networks under Spatio-Temporal Dynamics,” Proc. IEEE Global Communications Conference (GLOBECOM), Washington DC, USA, December 2016.

[C11] J. Park, M. Bennis, S.-L. Kim, and M. Debbah, “Spatio-Temporal Network Dynamics for Energy-Efficient Ultra-Dense Cellular Networks,” Proc. IEEE Global Communications Conference (GLOBECOM), Washington DC, USA, December 2016.

[C10] J. Kim, J. Park, S.-W. Ko, and S.-L. Kim, “User Attraction via Wireless Charging in Cellular Networks,” Proc.  IEEE Int’l Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) Workshop on Green Networks (GREENNET), Tempe, AZ, USA, May 2016.

[C9] J. Park, S.-L. Kim, and J. Zander, “Resource Management and Cell Planning in Millimeter-Wave Overlaid Ultra-Dense Cellular Networks,“ Proc. the 12th IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), Singapore, August 2015. 

[C8] J. Park, S.-L. Kim, and J. Zander, “Tractable Resource Management and Cell Planning in Millimetre-Wave Overlaid Ultra-Dense Cellular Networks,” presented at Simons Conference on Networks and Stochastic Geometry, Austin, TX, United States, May 2015. 

[C7] J. Park, S.-L. Kim, and J. Zander, “Asymptotic Behavior of Ultra-Dense Cellular Networks and Its Economic Impact,” in Proc. IEEE Global Communications Conference (GLOBECOM), Austin, USA, December 2014. 

[C6] J. Lee, J. Park, and S.-L. Kim, “Comparison of Heterogeneous Carrier Aggregation and Dual Connectivity in Wi-Fi Aided Cellular Networks,” in Proc. KICS Fall Conference, November 2014 (domestic conference).

[C5] S. M. Yu, J. Park, and S.-L. Kim, “Radio Resource Efficient Cellular Broadcast Networks,” in Proc. Int’l Conference on Future Internet Technologies (CFI), Tokyo, Japan, June 2014.

[C4] J. Park and S.-L. Kim, “Content-Specific Broadcast Cellular Networks based on User Demand Prediction: A Revenue Perspective,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, Turkey, April 2014.

[C3] H. Lee, J. Park, and S.-L. Kim, “Group-Based Congestion Reduction in Machine-to-Machine Cellular Networks,” in Proc. KICS Winter Conference, Yongpyeong, Korea, January 2013 (domestic conference).

[C2] J. Park, K. Huang, and D. Kim, “A Stochastic Geometric Approach to Sectorized Downlink Cellular Networks,” in Proc. KICS Winter Conference, Yongpyeong, Korea, February 2011 (domestic conference).

[C1] J. Park, K. Huang, S. Cho, and D. Kim, “Mobility-Aware Spatial Interference Cancellation for Mobile Ad Hoc Networks,” in Proc. Information and Communication Technology Convergence (ICTC), Jeju, Korea, November 2010.

[P2] S.-L. Kim, S. Oh, J. Park, and M. Bennis, “Devices and Methods for Multipath Mixing Based Learning Data Acquisition,” PCT/KR2020/005517, April 2020.

[P1] J. Park, H. Seo, D. Kim, B. Kim, and K. Huang, “Method for Uploading Data by Station, Method for Downloading Data by Station and Method for Downloading by Transporter,” US Patent (US20130322245 A1), LG Electronics, May 2013.

[R2] C. Perfecto, M. Elbamby, J. Park, J. Ser, M. Bennis, “Mobile XR over 5G: A Way Forward with mmWaves and Edge,” IEEE MMTC Communications - Frontiers, vol. 14, no. 2, pp. 29-34, March 2019.

[R1] D. Park, Y. Kwon, and J. Park, “Spectrum Management Policy and Technology — 5G Architecture and Resource Management Prospect,” Spectrum and Future Research Center, December 2015 (prepared for the Ministry of Science, ICT, and Future Planning of Korea).