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
NIRSplat accepted at AAAI 2026
Our paper 'NIRSplat' has been accepted to AAAI 2026!
UDGA accepted at NeurIPS 2024
Our paper 'UDGA' was accepted to NeurIPS 2024!
Started as Visiting Researcher at UCLA
Joined SCI Lab at UCLA as a Visiting Graduate Researcher!
CMDA accepted at AAAI 2024
Our paper 'CMDA' was accepted to AAAI 2024!
Started Research Internship at SAIT
Joined CV Lab at Samsung Advanced Institute of Technology (SAIT) as a Research Intern!
Selected Publications
RevoNAD: Reflective Evolutionary Exploration for Neural Architecture Design
Gyusam Chang, Jeongyoon Yoon, Shin han yi, JaeHyeok Lee, Sujin Jang, Sangpil Kim
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
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
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
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