Note: I have applied for PhD admission for Fall 2026. [SOP: here]
I am a Research Assistant in Computer Science at National Yang Ming Chiao Tung University (NYCU), supervised by Prof. Yu-Lun Liu at the Computational Photography Lab.
My current research focuses on 3D/4D scene reconstruction and generation. I recently authored Splannequin (WACV 2026), which reconstructs static scenes from casual monocular videos through self-anchoring. More broadly, I am interested in developing robust and interesting applications by grounding them in fundamental algorithmic analysis. My goal is to build intelligent systems that can perceive and reconstruct the visual world as effectively as humans do.
Previously, I completed my M.S. in ECE at UCLA and my B.S. in Electrophysics at NCTU (now NYCU). Prior to my current focus, I worked on privacy-preserving AI and IoT security, leading to publications in MobiCom and IEEE IoT-J.
Splannequin freezes dynamic Gaussian splats into crisp 3D scenes from monocular videos by anchoring artifacts to more reliable temporal states.
GaMO reformulates sparse-view 3D reconstruction as multi-view outpainting, expanding the field of view with geometry-aware diffusion to achieve consistent, high-quality reconstructions efficiently from very few input views.
Voxify3D is a differentiable two-stage method that converts 3D meshes into stylized voxel art with discrete palette control. It preserves semantic structure using multi-view pixel-art supervision and CLIP-guided optimization.