[T24] "Towards Unified Understanding of Semantic Communications and Networking," ISCIT Tutorial (October 2023), GLOBECOM Tutorial (December 2023).

[T23] "Rethinking Semantic Communication in the Era of Generative AI," KAIST, Yonsei, SKKU, and HUST (June 2023), KOFST BrainLink (October 2023), POSTECH, TokyoTech, and Tsinghua Univ. (November 2023).

[T22] "Koopman Operator Theory Meets Machine Learning for Time-Varying Graph Prediction," DSTG AI ML Community Seminar (June 2023)

[T21] “Semantics-Native and Knowledge-Driven 6G Semantic Communication," KIISE Tutorial (May 2022), Huawei-ITSoC HK Workshop (May 2022), KTH (August 2022), KAIST, Seol National Univ., Korea Univ. (October 2022), ETRI, Samsung Research, and WF-IoT (November 2022).

[T20] "Federated and Split Learning for 6G and Quantum Machine Learning," Deakin Quantum Computing Group (July 2022) and Aalborg Univ. (August 2022).

[T19] "AI-Native 6G Semantic Communication," KMOU and KRRI (November 2021).

[T18] “Learn to Communicate & Communicate to Learn,” Seoul National Univ. (May 2021).

[T17] “Federated Learning and Beyond for 5G and Beyond,” AusCTW (March 2021), Seoul National Univ., Korea Univ., SWCS, and JCCI (April 2021).

[T16] “Communication-Efficient Parallel Split Learning,“ MIT (March 2021).

[T15] “Communication-Efficient Machine Learning at the Edge for Beyond 5G,” KMOU (October 2020) and ETRI (January 2021).

[T14] “Beyond 5G Beyond Graduation,” FREE 2020 Alumni Talk, Yonsei Univ. (December 2020).

[T13] “What Will be Beyond 5G URLLC: The Role of Machine Learning at the Edge,” Deakin Univ. (February 2020).

[T12] “Communication-Efficient and Privacy-Preserving Distributed Machine Learning at the Network Edge,” Korea Univ. (December 2019) and Yonsei Univ. (January 2020).

[T11] “Communication-Efficient Distributed Machine Learning,” Oulu Univ. (May 2019).

[T10] “Federated Distillation: Building Blocks and Extensions.” Oulu Univ. (February 2019).

[T9] “Massive UAV Online Path Planning: A Machine Learning Aided Mean-Field Game Theoretic Approach,” Oulu Univ. (January 2019).

[T8] “Mobile Edge Intelligence at Scale,” Yonsei Univ. (October 2018).

[T7] “Supporting Mobile Multimodal VR Networks,” Oulu Univ. (March 2018).

[T6] “Demystifying Tractable Cellular Network Analysis using Stochastic Geometry,“ Oulu Univ. (February 2018) and New Jersey Institute of Technology (April 2017).

[T5] “Massive MIMO Functionality Splits based on Hybrid Analog-Digital Precoding in a C-RAN Architecture,” Yonsei Univ. (January 2018).

[T4] “Supporting VR Mobile Social Networks over Wireless Cellular Systems,” Hong Kong Univ., Oulu Univ., Yonsei Univ. (January 2018), and Aalborg Univ. (December 2017).

[T3] “Coverage and Rate of Downlink Sequence Transmissions with Reliability Guarantee,” Yonsei Univ. (January 2018).

[T2] “Stochastic Geometric Approach to Coverage and Rate With Reliability Guarantee,“ KAIST (August 2017) and Yonsei Univ. (July 2017).

[T1] “Tractable SIR and Rate Analysis in a Large-Scale Network,” Yonsei Univ. (January 2017) and Aalborg Univ. (November 2016).

1/2024-Present: Editor, IEEE Transactions on Communications in the area of Machine Learning and Communications

6/2020-Present: Associate Editor, Frontiers in Data Science for Communications

4/2021-4/2022: Guest Editor, Frontiers in Signal Processing for Communications SI “Distributed Signal Processing and Machine Learning for Communication Networks”

7/2021-12/2022: Guest Editor, MDPI Sensors SI "Big Data Analytics and Intelligent Computation to Advance Novel Applications"

2/2020-11/2021: Guest Editor, MDPI Telecom SI “mmWave Communications and Networking in 5G and Beyond”

2024: 

• NeurIPS Wksp. Federated Learning in the Age of Foundation Models

• ACM TheWebConf Wksp. Federated Foundation Models

• CVPR Wksp. Federated Learning for Computer Vision

• IJCAI Wksp. Federated Learning in the Age of Foundation Models

• IJCAI Wksp. Quantum Algorithms, Optimization, and AI (Chair)

• IEEE ICDCS Track on Federated Learning, Analytics, and Deployment

• IEEE ICMLCN

• IEEE ICME Wksp. Federated Learning and Foundation Models for Multi-Media

• IEEE ICC Communication Theory Symposium

• IEEE ICC SAC Cloud Computing, Networking and Storage

• IEEE ICC Wksp. Task-Oriented and Generative Communications for 6G (Organizer)

• IEEE ICC Wksp. AI-ML-Powered Autonomous Telco Networks

• IEEE ICC Wksp. Cognitive Radio and AI-Enabled Networks

• IEEE ICC SAC Machine Learning for Communications and Networking

• IEEE GLOBECOM Symposium on Machine Learning for Communications

• IEEE GLOBECOM Symposium on Signal Processing for Communication

• IEEE GLOBECOM Wksp.  'From Bits to Semantics: Data Factorization, Encoding, Transmission, and Privacy Protection' (Chair)

• IEEE GBC Wksp. AI-empowered Semantic-based Communications for Distributed Networks (Chair)

• IEEE HPSR

• IEEE ICMLCN

• IEEE VTC-Spring Track on Wireless Networks

• IEEE VTC-Fall Track on Protocols, Security and Services for Wireless Networks

• IEEE VTC-Fall Track on Machine Learning for Communications

2023: 

• NeurIPS Wksp. Federated Learning in the Age of Foundation Models

• KDD Wksp. Federated Learning for Distributed Data Mining: Methods and Applications

• ICML Wksp. Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities

• IJCAI Wksp. Trustworthy Federated Learning

• ACM SIGIR Wksp. Federated Learning for Information ReTrieval

• IEEE INFOCOM Wksp. B5G Wireless Security

• IEEE SECON Wksp. Semantic Communication for 6G (Organizer)

• IEEE GLOBECOM Wksp. Semantic Communication for 6G (Organizer)

• IEEE GLOBECOM Wksp. AI Enabled Next Generation Wireless Networks

• IEEE GLOBECOM Wksp. Sustainable and Resilient Industrial Networks

• IEEE GLOBECOM Symposium on Machine Learning for Communications (Chair)

• IEEE GLOBECOM Symposium on Wireless Communications

• IEEE ICC Symposium on Communication Theory

• IEEE ICC Symposium on  Cognitive Radio and AI-Enabled Networks

• IEEE ICC SAC Cloud Computing, Networking, and Storage

• IEEE ICC Wksp. Machine Learning for Communications and Networking

2022:

• NeurIPS Wksp. Federated Learning: Recent Advances and New Challenges

• NeurIPS Wksp. Interpolation Regularizers and Beyond

• AAAI Wksp. Trustable, Verifiable and Auditable Federated Learning

• IJCAI Wksp. Trustworthy Federated Machine Learning

• ACM MobiCom Wksp. Smart Communities with 6G (Publicity Chair)

• IEEE INFOCOM Wksp. B5G Wireless Security

• IEEE GLOBECOM SAC Machine Learning for Communication

• IEEE GLOBECOM Wksp. Emerging Topics in 6G Communications

• IEEE GLOBECOM Wksp. Edge Machine Learning for 5G Mobile Networks and Beyond

• IEEE ICC Symposium on  Cognitive Radio and AI-Enabled Networks

• IEEE ICC SAC Machine Learning for Communication

• IEEE ICC SAC Cloud Computing, Networking and Storage 

• IEEE ICC Wksp. Semantic Communications

• IEEE VTC-Spring 2nd Wksp. Intelligent IoT, Control and Automation (Organizer)

• IEEE VTC-Spring Wksp. Signal Processing for Wireless Communications

• IEEE VTC-Fall Intelligent and Semantic Communications Track

2021:

• AAAI Wksp. Trustable, Verifiable and Auditable Federated Learning

• ICML Wksp. Federated Learning

• ICMLA Special Session on Federated Learning and Meta Learning

• IEEE INFOCOM Wksp. Distributed Machine Learning and Fog Networks

• IEEE GLOBECOM SAC Machine Learning for Communication

• IEEE GLOBECOM Wksp. Wireless Communications for Distributed Intelligence

• IEEE GLOBECOM Wksp. Internet of Softwarized Things in 5G and Beyond

• IEEE GLOBECOM Wksp. Advances in Network Localization and Navigation

• IEEE GLOBECOM Wksp. Edge Machine Learning for 5G Mobile Networks and Beyond

• IEEE ICC SAC Machine Learning for Communication

• IEEE ICC Wksp. Edge Machine Learning for 5G Mobile Networks and Beyond

2020:

• IJCAI

• ICML Wksp. Federated Learning

• ICMLA Special Session on Federated Learning and Meta Learning

• IEEE GLOBECOM SAC Satellite & Space Communications

• IEEE GLOBECOM SAC Machine Learning for Communication

• IEEE GLOBECOM Wksp. Edge Learning Over 5G and Beyond

• IEEE GLOBECOM Wksp. AI-Enabled 5G/6G Networks

• IEEE ICC Wksp. Edge Machine Learning for 5G Mobile Networks and Beyond

• IEEE WCNC Wksp. Intelligent IoT, Control and Automation (Chair)

• IEEE SPAWC

2019:

• NeurIPS Wksp. Federated Machine Learning

• IJCAI Wksp. Federated Machine Learning

• GLOBECOM Wksp. ML for Wireless Communications

• WiOpt Wksp. Machine Learning for Communications

• IEEE SPAWC

2018:

• IEEE WCNC Wksp. WSCMC

• IEEE GLOBECOM Wksp. Wi-UAV

• IEEE GLOBECOM Wksp. INO5G

• IEEE GLOBECOM Wksp. WCSP

2017:

• IEEE ISWCS Wksp. URLLC for MTC

• IEEE GLOBECOM Wksp. Wi-UAV

• IEEE Journal of Selected Areas in Communications

• IEEE Journal of Selected Areas in Information Theory

• IEEE Transactions on Wireless Communications

• IEEE Transactions on Communications

• IEEE Transactions on Signal Processing

• IEEE Transactions on Mobile Computing

• IEEE/ACM Transactions on Networking

• ACM Transactions on Intelligent Systems and Technology

• ACM Transactions on Knowledge Discovery from Data

• IEEE Transactions on Vehicular Technology

• IEEE Transactions on Cognitive Communications and Networking

• IEEE Transactions on Neural Networks and Learning Systems

• IEEE Transactions on Network Science and Engineering

• IEEE Transactions on Industrial Informatics

• IEEE Transactions on Network and Service Management

• IEEE Internet of Things

• IEEE Wireless Communications

• IEEE Communications Magazine

• IEEE Network Magazine

• IEEE Intelligent Systems

• IEEE Wireless Communications Letters

• IEEE Communications Letters

• IEEE/KICS Journal of Communications and Networks

• Nature Scientific Reports

• Frontiers in Signal Processing for Communications

• Frontiers in Aerial and Space Networks

• Frontiers in Computer Science for Networks and Communications

• NeurIPS

• ICLR