BIOGRAPHY

• [C9] Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes

Jungwuk Park*, Sejong Ryu*, Jy-yong Sohn, Jaekyun Moon (* = equal contribution)

NeurIPS 2026

• [C8] Why Act Without Asking? Evaluating Mobile GUI Agents under Ambiguous Instructions

Yeongjae Cho, Jungwuk Park, Tae-Min Choi, Chiyoun Park, Mincheol Kim, Kookhoi Kim

EMNLP 2026 (Main Conference)

• [C7] ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization

Jungwuk Park, Dong-Jun Han and Jaekyun Moon

AAAI 2026 (Oral Presentation)

• [C6] Adaptive Energy Alignment for Accelerating Test-Time Adaptation

Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han and Jaekyun Moon

ICLR 2025

• [C5] Consistency-Guided Temperature Scaling using Styles and Contents for Out-of-Domain Calibration

Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon

AAAI 2024 

• [C4] StableFDG: Style and Attention Based Learning for Federated Domain Generalization

Jungwuk Park*, Dong-Jun Han*, Jinho Kim, Shiqiang Wang, Christopher Brinton and

Jaekyun Moon (* = equal contribution)

NeurIPS 2023 

• [C3] NEO-KD: Knowledge Distillation based Adversarial Training for Robust Multi-Exit Neural Network

Seokil Ham, Jungwuk Park, Dong-Jun Han and Jaekyun Moon

NeurIPS 2023 

• [C2] Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization

Jungwuk Park*, Dong-Jun Han*, Soyeong Kim and Jaekyun Moon (* = equal contribution)

ICML 2023 

• [C1] Sageflow: Robust Federated Learning against Stragglers and Adversaries

Jungwuk Park*, Dong-Jun Han*, Minseok Choi and Jaekyun Moon (* = equal contribution)

NeurIPS 2021

• [J3] Deep Learning of Read References in NAND Flash Memory

Sunyoung Jo, Jungwuk Park†, Younghyun Park, Sangho Yoon and Jaekyun Moon (†  =

corresponding author)

IEEE Access, 2026

• [J2] Improving Low-Latency Predictions in Multi-Exit Architectures via Block-Dependent Losses

Dong-Jun Han*, Jungwuk Park*, Seokil Ham, Namjin Lee and Jaekyun Moon (* = equal

contribution)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023

• [J1] FedMes: Speeding Up Federated Learning with Multiple Edge Servers

Dong-Jun Han, Minseok Choi, Jungwuk Park and Jaekyun Moon

IEEE Journal on Selected Areas in Communications (JSAC) - Special Issue on Distributed

Learning over Wireless Edge Networks, 2021

• Samsung Research, Seoul | Sep.2025 - Present

  • Agentic Model Part - AI Research Engineer

• Postdoctoral Researcher in Electrical Engineering, KAIST  |  Mar. 2025 - August. 2025

• Ph.D. in Electrical Engineering, KAIST  |  Mar. 2021 - Feb. 2025

• Master in Electrical Engineering, KAIST  |  Mar. 2019 - Feb. 2021

• B.S. in Electrical Engineering, Yonsei University | Mar. 2013 - Feb. 2019