Aecheon Jung

Publications

* Equal contribution

• SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation [Project]
  Aecheon Jung, Seunghwan Lee, Dongyoon Han, Sungeun Hong
  Under Review

• Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models
  Youngeun Kim, Youjia Zhang, Huiling Liu, Aecheon Jung, Sunwoo Lee, Sungeun Hong
  Under Review

• Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training
  Hyuntak Shin, Aecheon Jung, Sungeun Hong, Sunwoo Lee
  Under Review

• Task Vector Quantization for Memory-Efficient Model Merging [Project]
  Youngeun Kim*, Seunghwan Lee*, Aecheon Jung*, Bogon Ryu, Sungeun Hong
  International Conference on Computer Vision (ICCV), 2025.

• IAM: Enhancing RGB-D Instance Segmentation with New Benchmarks
  Aecheon Jung*, Soyun Choi*, Junhong Min, and Sungeun Hong
  arXiv, 2025.

• Scale-aware Token-matching for Transformer-based Object Detector
  Aecheon Jung, Sungeun Hong, Yoonsuk Hyun
  Pattern Recognition Letters, 2024.

Awards

• 3rd Place, IR Instance Segmentation Challenge, ICRA 2025 (Hanwha Systems) [link]

• Silver Prize, University Student Mathematics Competition (Korean Mathematical Society) [link]

Academic Activities

• Program Committee Member, 2025 Bias-A-Thon [link1][link2]
  Hosted by SKKU, funded by MSIT & IITP

Projects

• Model Merging-Based Distribution Shift Adaptation for Trustworthy AI Systems (2025.09 - 2027.08)
  Ph.D. Students Fellowship by National Research Foundation of Korea (NRF)

• RGB-X Path Networks for Multi-modal Multi-task Learning (2023.03 - 2026.02)
  Funded by National Research Foundation of Korea (NRF)
  Performed multi-task learning through model merging

• RGB-D Object Detection and Segmentation based on Multimodal Fusion (2023.03 - 2023.10)
  Funded by Samsung Electronics
  Developed an RGB-D instance segmentation framework and constructed a custom dataset

Education

• Sungkyunkwan University, Ph.D. student, Immersive Media Engineering, Sep 2024 – Present

• Inha University, M.S., Electrical and Computer Engineering, Sep 2022 – Aug 2024

• Inha University, B.S., Mechanical Engineering (Minor in Statistics), Mar 2015 – Feb 2022