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Yongin Kwon

3 papers · 2022–2025 · 2 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

IJCAI (2) ECCV (1)

Top co-authors

Jemin Lee (2) Sangtae Ha (2) Taeho Kim (2) Vatshank Chaturvedi (1) Seyeon Kim (1) Lokesh Gupta (1) Yanming Wang (1) Sihyeong Park (1) Jinse Kwon (1) Jihun Oh (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Natural Language Processing (2) Core AI (2) Optimization & Theory · Machine Learning (2) Optimization & Theory · Deep Learning (2) Resources & Methods (2) Application Areas (1) Core Methods (1)

Keywords

large language model (2) instruction following (1) model fine-tuning (1) memory optimization (1) distributed fine-tuning (1) gpu memory estimation (1) multi-gpu setup (1) accuracy evaluation (1) large language model fine-tuning (1) model compression (1) transformer model (1)

Papers

Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant IJCAI 2025 LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs IJCAI 2024 CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution ECCV 2022