AI/ML Application Engineer
TSMC, VNAP Department
I am currently working at TSMC in the VNAP department as an AI/ML Application Engineer. I received my Master's degree from the Institute of AI Innovation at National Yang Ming Chiao Tung University, advised by Prof. Yu-Lun Liu and Prof. Jiun-Long Huang, and my Bachelor's degree in Electronic Engineering from National Taipei University of Technology. My research interest focuses on Camera ISP, Generative AI, and 3D scene reconstruction.
AI/ML Application Engineer, VNAP
M.S., Institute of AI Innovation
Full-Stack Engineer
B.S., Electronic Engineering
CVPR 2025
Proposed GCC (Generative Color Constancy), a novel approach that leverages pretrained diffusion models (Stable Diffusion) to estimate scene illumination by generating color checkers into images, enabling auto white balance across different camera sensors without requiring camera-specific training.
CVPR 2025
SpectroMotion combines 3D Gaussian Splatting with physically-based rendering (PBR) and deformation fields to reconstruct dynamic specular scenes, and is the only existing 3DGS method capable of synthesizing photorealistic real-world dynamic specular scenes.
Our proposed approach, DS3DGS, expands 3DGS by adding a deformation field with specular surface rendering, significantly improving the quality of dynamic specular scene reconstruction.
Employing a Variational Autoencoder (VAE) model to perform sentiment analysis by mapping sentence embeddings, derived from a pre-trained BERT model, into a latent space composed of Arousal and Valence dimensions.
Developed an interactive web gaming platform featuring user authentication, two classic games (Whac-A-Mole and Snake), and a real-time leaderboard system implemented with RESTful APIs.
This project focuses on developing a golf trajectory estimation system that uses high-speed cameras and image processing algorithms to calculate and simulate golf ball trajectories.