Skip to content
conftrace_

Jeongwon Min

3 papers · 2024–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10)

Venues

CVPR (1) EMNLP (1) WACV (1)

Top co-authors

Cho Jung Min (3) Savas Ozkan (3) Mete Ozay (3) Eunchung Noh (3) Taha Ceritli (2) Dookun Park (1) Sijun Cho (1) Matthew B. Blaschko (1) Ruicong Yao (1) Junyi Zhu (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Application Areas (2) Architectures (1) Core AI (1) Learning Paradigms (1) Learning Types (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

federated learning (1) knowledge distillation (1) model merging (1) label noise (1) variance reduction (1) parameter-efficient fine-tuning (1) low-rank adaptation (1) model scaling (1) parameter generation (1) language model fine-tuning (1) decentralized learning (1) scene text recognition (1) large language model (1) hybrid data (1) model atla (1)

Papers

Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models WACV 2026 Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation CVPR 2025 A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune EMNLP 2024