About Me

I am a PhD candidate in the Department of Electrical and Computer Engineering at Seoul National University, advised by Prof. Nam Ik Cho. I also work as an AI research engineer at the Korean startup FuriosaAI.

I expect to complete my PhD in August 2026.

Projects

OCR System Development with ePopSoft
Developed a pipeline of computer vision models (text detection and recognition) deployed on Furiosa's Gen 1 Vision NPU.
[Blog]

Publications

My research interests are broad, with first-authored publications spanning Machine Learning (ICML, ICLR), Computer Vision (ECCV, WACV), and Natural Language Processing (COLM, ACL, EACL).
[Blog: ICML & ACL] [Blog: ECCV & COLM]

Preprints

ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning
Yuchen Zeng*, Shuibai Zhang*, Wonjun Kang*, Shutong Wu, Lynnix Zou, Ying Fan, Heeju Kim, Ziqian Lin, Jungtaek Kim, Hyung Il Koo, Dimitris Papailiopoulos, Kangwook Lee
Under Review
[Paper] [Code]

XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization
Aditya Tomar*, Coleman Hooper*, Minjae Lee, Haocheng Xi, Rishabh Tiwari, Wonjun Kang, Luca Manolache, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
Under Review
[Paper]

2026

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
Wonjun Kang*, Kevin Galim*, Seunghyuk Oh*, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Hooper, Yuezhou Hu, Hyung Il Koo, Nam Ik Cho, Kangwook Lee
ICLR 2026
[Paper] [Project Page] [Code]

Draft-based Approximate Inference for LLMs
Kevin Galim*, Ethan Ewer*, Wonjun Kang, Minjae Lee, Hyung Il Koo, Kangwook Lee
ICLR 2026
[Paper] [Code]

TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs
Minjae Lee*, Wonjun Kang*, Byeongkeun Ahn, Christian Classen, Kevin Galim, Seunghyuk Oh, Minghao Yan, Hyung Il Koo, Kangwook Lee
EACL 2026 (Findings)
[Paper]

2025

State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
Wonjun Kang*, Kevin Galim*, Yuchen Zeng*, Minjae Lee, Hyung Il Koo, Nam Ik Cho
ACL 2025
[Paper] [Code]

VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data
Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee
ICML 2025 (Oral, Top ~1%)
[Paper] [Code]

TabFlex: Scaling Tabular Learning to Millions with Linear Attention
Yuchen Zeng*, Tuan Dinh*, Wonjun Kang, Andreas Mueller
ICML 2025 (Spotlight, Top 2.6%)
[Paper] [Code]

Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim*, Wonjun Kang*, Yuchen Zeng*, Hyung Il Koo, Kangwook Lee
ICML 2025 (*alphabetical order)
[Paper] [Code]

Counting Guidance for High Fidelity Text-to-Image Synthesis
Wonjun Kang*, Kevin Galim*, Hyung Il Koo, Nam Ik Cho
WACV 2025 (Oral)
[Paper] [Code]

In-batch Ensemble Drafting: Robust Speculative Decoding for LVLMs
Minjae Lee*, Wonjun Kang*, Byeongkeun Ahn, Christian Classen, Minghao Yan, Hyung Il Koo, Kangwook Lee
ICLR 2025 (SCOPE Workshop)
[Paper]

UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation
Wonjun Kang, Byeongkeun Ahn, Minjae Lee, Kevin Galim, Seunghyuk Oh, Hyung Il Koo, Nam Ik Cho
IEEE Access
[Paper] [Code]

Development of OCR Service for Page-Level Recognition for Camera-Captured Document Images
Junyoung Park, Wonjun Kang, Seonji Park, Keuntek Lee, Hyung Il Koo, Nam Ik Cho
IEEE Access
[Paper]

2024 and Earlier

Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
Wonjun Kang*, Kevin Galim*, Hyung Il Koo
ECCV 2024
[Paper] [Code]

Can MLLMs Perform Text-to-Image In-Context Learning?
Yuchen Zeng*, Wonjun Kang*, Yicong Chen, Hyung Il Koo, Kangwook Lee
COLM 2024
[Paper] [Code]

Face Swapping for Low-Resolution and Occluded Images In-the-Wild
Jaehyun Park, Wonjun Kang, Hyung Il Koo, Nam Ik Cho
IEEE Access
[Paper]

One-Shot Face Reenactment on Megapixels
Wonjun Kang, Geonsu Lee, Hyung Il Koo, Nam Ik Cho
Arxiv
[Paper]

Work Experience

FuriosaAI, June 2021 ~ Present
AI Research Engineer

Education

Seoul National University, Mar 2020 ~ Aug 2026 (Expected)
Ph.D. in Electrical and Computer Engineering

Seoul National University, Mar 2014 ~ Feb 2020 (Military leave: 2.5 years)
B.S. in Electrical and Computer Engineering
GPA: 4.00/4.30 (Summa Cum Laude)

Seoul Science High School, Mar 2011 ~ Feb 2014