Jinu Gong - RankMe

33 papers A 1B 4Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Fixed Rounds: Data-Free Early Stopping for Practical Federated Learning. CoRR Youngjoon Lee, Hyukjoon Lee, Seungrok Jung, Andy Luo, Jinu Gong, Yang Cao, Joonhyuk Kang
2026	J	`jnl`	CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment. IEEE Commun. Lett. Seunghun Yu, Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2026	J	`jnl`	Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming. IEEE Wirel. Commun. Lett. Sanghyeok Kim, Jinu Gong, Joonhyuk Kang
2026	J	`jnl`	Forecasting-based biomedical time-series data synthesis for open data and robust AI. Comput. Biol. Medicine Youngjoon Lee, Seongmin Cho, Yehhyun Jo, Jinu Gong, Hyunjoo Jenny Lee, Joonhyuk Kang
2025	J	`jnl`	A Novel MGF Derivation for IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Jinu Gong, Hoojin Lee
2025	J	`jnl`	A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging. CoRR Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2025	J	`jnl`	CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment. CoRR Seunghun Yu, Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2025	—	`conf`	Debunking Optimization Myths in Federated Learning for Medical Image Classification. EMA4MICCAI Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang
2025	J	`jnl`	Debunking Optimization Myths in Federated Learning for Medical Image Classification. CoRR Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang
2025	A	`conf`	Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning. CIKM Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2025	B	`conf`	Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring. GLOBECOM Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2025	B	`conf`	Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation. IEEE Big Data Youngjoon Lee, Taehyun Park, Yunho Lee, Jinu Gong, Joonhyuk Kang
2025	J	`jnl`	Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation. CoRR Youngjoon Lee, Taehyun Park, Yunho Lee, Jinu Gong, Joonhyuk Kang
2025	J	`jnl`	Extended Asymptotic Outage Probability Analysis of Decode-and-Forward Cognitive Dual-Hop Systems with the Interference Constraint over Nakagami- IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Jinu Gong, Hoojin Lee
2025	J	`jnl`	Forecasting-Based Biomedical Time-series Data Synthesis for Open Data and Robust AI. CoRR Youngjoon Lee, Seongmin Cho, Yehhyun Jo, Jinu Gong, Hyunjoo Jenny Lee, Joonhyuk Kang
2025	B	`conf`	Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks. IEEE Big Data Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2025	J	`jnl`	Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes. CoRR Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2025	—	`conf`	Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions. MICCAI (14) Youngjoon Lee, Jinu Gong, Sun Choi, Joonhyuk Kang
2025	J	`jnl`	Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions. CoRR Youngjoon Lee, Jinu Gong, Sun Choi, Joonhyuk Kang
2025	J	`jnl`	SHEFL: Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning. CoRR Keumseo Ryum, Jinu Gong, Joonhyuk Kang
2025	B	`conf`	When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data With Generative AI for Early Stopping. IEEE Big Data Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang
2025	J	`jnl`	When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping. CoRR Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang
2024	J	`jnl`	Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin. CoRR Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2024	J	`jnl`	Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks. CoRR Youngjoon Lee, Jinu Gong, Joonhyuk Kang
2023	J	`jnl`	Compressed Particle-Based Federated Bayesian Learning and Unlearning. IEEE Commun. Lett. Jinu Gong, Osvaldo Simeone, Joonhyuk Kang
2023	J	`jnl`	Generalized MGF-based secrecy outage performance analysis over fading channels using mixture gamma distribution. ICT Express Jinu Gong, Joonhyuk Kang
2022	J	`jnl`	Compressed Particle-Based Federated Bayesian Learning and Unlearning. CoRR Jinu Gong, Osvaldo Simeone, Joonhyuk Kang
2021	—	`conf`	Bayesian Variational Federated Learning and Unlearning in Decentralized Networks. SPAWC Jinu Gong, Osvaldo Simeone, Joonhyuk Kang
2021	J	`jnl`	Bayesian Variational Federated Learning and Unlearning in Decentralized Networks. CoRR Jinu Gong, Osvaldo Simeone, Joonhyuk Kang
2021	J	`jnl`	Forget-SVGD: Particle-Based Bayesian Federated Unlearning. CoRR Jinu Gong, Osvaldo Simeone, Rahif Kassab, Joonhyuk Kang
2020	J	`jnl`	Generalized MGF of Inverse Gaussian Distribution With Applications to Wireless Communications. IEEE Trans. Veh. Technol. Jinu Gong, Hoojin Lee, Joonhyuk Kang
2020	J	`jnl`	On the Calculation of the G-MGF for Two-Ray Fading Model with Its Applications in Communications. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Jinu Gong, Hoojin Lee, Rumin Yang, Joonhyuk Kang
2018	J	`jnl`	A Novel Ergodic Capacity Formula for Two-Wave with Diffuse Power Fading Channels. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Jinu Gong, Hoojin Lee, Joonhyuk Kang