Profile

Gyusam Chang

Ph.D. Candidate in Artificial Intelligence

Gyusam Chang is a Ph.D. candidate at Korea University. He previously interned at Samsung Advanced Institute of Technology (SAIT), where he worked with Principal Researcher Sujin Jang. He also completed a Visiting Graduate Researcher program at the University of California, Los Angeles (UCLA), working with Prof. M. Khalid Jawed. His research focuses on bridging deep theoretical insights with practical applications through efficient, adaptive and transferable strategies for the next generation of AI.

Research Interests

  • Domain Generalization/Adaptation
  • Continual Learning
  • Parameter-Efficient Fine-Tuning
  • Multi-modal Representation Learning

Latest News

Nov. 2025
Publication

NIRSplat accepted at AAAI 2026

Our paper 'NIRSplat' has been accepted to AAAI 2026!

Sep. 2024
Publication

UDGA accepted at NeurIPS 2024

Our paper 'UDGA' was accepted to NeurIPS 2024!

Sep. 2024
Career

Started as Visiting Researcher at UCLA

Joined SCI Lab at UCLA as a Visiting Graduate Researcher!

Sep. 2023
Publication

CMDA accepted at AAAI 2024

Our paper 'CMDA' was accepted to AAAI 2024!

Jun. 2023
Career

Started Research Internship at SAIT

Joined CV Lab at Samsung Advanced Institute of Technology (SAIT) as a Research Intern!

Selected Publications

Pre-print2026

RevoNAD: Reflective Evolutionary Exploration for Neural Architecture Design

Gyusam Chang, Jeongyoon Yoon, Shin han yi, JaeHyeok Lee, Sujin Jang, Sangpil Kim

Neural Architecture SearchNeural Architecture Design
AAAI 20262026

Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting

Gyusam Chang, Tuan-Anh Vu, Vivek Alumootil, Harris Song, Deanna Pham, Sangpil Kim, M. Khalid Jawed

3D ReconstructionGaussian SplattingNeural Radiance Fields
NeurIPS 20242025

Unified Domain Generalization and Adaptation for Multi-view 3D Object Detection

Gyusam Chang*, Jiwon Lee*, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang, Sangpil Kim

Autonomous Driving3D Object DetectionDomain GeneralizationDomain Adaptation
AAAI 20242025

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection

Gyusam Chang*, Wonseok Roh*, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim

Autonomous Driving3D Object DetectionDomain GeneralizationDomain Adaptation