Mobile CPU Based Optimization of Fast Likelihood Computation for Continuous Speech Recognition. - Kisun You; Youngjoon Lee; Wonyong Sung (ICASSP (4), 2007)

Performance Optimization of a Multimedia Player on a Mobile CPU Platform. - Hoseok Chang; Youngjoon Lee; Wonyong Sung (SiPS, 2007)

OpenMP-based parallel implementation of a continuous speech recognizer on a multi-core system. - Kisun You; Youngjoon Lee; Wonyong Sung (ICASSP, 2009)

VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval. - Minuk Ma; Sunjae Yoon; Junyeong Kim; Youngjoon Lee; Sunghun Kang; Chang D. Yoo (ECCV (28), 2020)

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

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

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

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

Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2024)

Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2024)

Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation. - Youngjoon Lee; Taehyun Park; Yunho Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2025)

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions. - Youngjoon Lee; Jinu Gong; Sun Choi; Joonhyuk Kang (CoRR, 2025)

ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions. - Youngjoon Lee; Taehyun Park; Yeongjoon Kang; Jonghoe Kim; Joonhyuk Kang (IEEE Internet Things Mag., 2025)

A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2025)

Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2025)

Debunking Optimization Myths in Federated Learning for Medical Image Classification. - Youngjoon Lee; Hyukjoon Lee; Jinu Gong; Yang Cao; Joonhyuk Kang (CoRR, 2025)