Jungmin Kwon

News

2025

Sep. I joined the Department of Electrical and Electronics Engineering at Kangwon National University as an assistant professor!

Jun. "Performance Analysis of UDP-Based Federated Learning under Abrupt Wireless Channel Changes" is presented in KICS summer conf.

Apr. "Comparative Analysis of Network Coding Techniques to Mitigate Performance Degradation in Centralized Federated Learning under Packet Loss" is presented in JCCI 2025 conf. 

Feb. My research project has been selected for the Sejong Science Fellowship, a new basic research program granted by the Ministry of Science and ICT 

Jan.  "Stochastic Approximate Inference of Latent Information in Epidemic Model: A Data-Driven Approach" is accepted in Signal Processing

2024

Nov. "Approximate Data Transmission Strategy to Mitigate Performance Degradation of Federated Learning with Partial Model Parameter Loss" received best paper award in KICS summer conf. !

Jul. Domestic patent "Terminal, server and method for transeciving data for federtaed learning" is filed

Jun. "Approximate Data Transmission in Unreliable Networks" is presented in KICS summer conf. Soongsil-CMU Joint Research Workshop on Cooperative AI by Reverse-engineering The Brain

Jun. "Approximate Data Transmission Strategy to Mitigate Performance Degradation of Federated Learning with Partial Model Parameter Loss" is presented in KICS summer conf. 

Jun. "Performance Analysis of Federated Learning with Partial Data Loss" is presented in KICS summer conf. 

Jun. Finished Ph.D. Thesis defense!

Apr.  "Parameter Transferred Irreducible LSTM for Traffic Data Imputation" is accepted in IEEE Sensors Journal

Mar.  "Data Dissemination Framework Using Low-Rank Approximation in Edge Networks" is presented in Ewha E.E. Lunch talk

Jan.  Presented "Missing Traffic Data Imputation Using Multi-Trajectory Parameter Transferred LSTM" is presented in Ewha E.E. Lunch talk

Jan.  "Efficient Low-rank Federated Learning based on Singular Value Decomposition" is accepted in IEEE Access

2021

Dec. "Missing Traffic Data Imputation Using Multi-Trajectory Parameter Transferred LSTM" is presented in  NeurIPS2022 Workshop

Oct. "Efficient Low-rank Federated Learning based on Singular Value Decomposition" is presented in ACM Mobihoc2022

Jun. US patent "Method and Device for Data Transmission in V2I Network" is registered 

Mar. Domestic Patent "Lost Data Recovery Method and Apparatus using Parameter Transfer LSTM" is filed

May. "Multilayered LSTM with Parameter Transfer for Vehicle Speed Data Imputation" is presented in IEEE ISCAS2021

Apr. "Bidirectional Imputation of Spatio-Temporal Data based on LSTM with Parameter Transfer" is presented in IEEE WCNC2021

Apr. Domestic Patent "Method and Device for Efficiently Transmitting Data in Handover Interval of V2I Network" is registered

Mar. Domestic Patent "method and DEVICE for reliable data transmission according to predicted amount of data in V2I network" is registered

2020

Dec. "Vehicle Speed Data Imputation based on Parameter Transferred LSTM" is presented in NeurIPS2020 Workshop

Oct. "Automatic Classification of Network Traffic Data based on Deep Learning in ONOS Platform" is presented in ICTC2020

Oct. "Traffic Data Classification using Machine Learning Algorithms in SDN Networks" is presented in ICTC2020

Feb. "Data Driven Reliable Dissemination Strategy Based Systematic Network Coding in V2I Networks" is accepted

Jan. "Efficient and Reliable Data Dissemination over Handover Dynamics in V2I Networks" is presented in IEEE ICCE2020

2019

Nov. "Study on the distribution measurement of data deliverable mobile nodes based on transmission powers" is presented in KICS fall conf. and received best paper award

Oct. "Reliable Data Dissemination Strategy based on Systematic Network Coding in V2I Networks" is presented in ICTC2020