Academic Experience

I’ve been fortunate to receive a rigorous and well-rounded computer science education through both research and coursework.

Cornell Tech (New York City) #

M.Eng. in Computer Science — Specializing in deep learning and systems
Selected coursework: Deep Learning, ML Engineering, ML Hardware and Systems, NLP, Computer Vision, HCI & Design, Virtual & Augmented Reality, Security and Privacy, Product Studio
Academic Awards: Merit-based Scholarship

At Cornell Tech, I’ve been focused on deepening my understanding of deep learning across multiple dimensions: from engineering frameworks and hardware systems to practical applications in language modeling and computer vision. Exploring the user-facing side of technology through the Studio curriculum and HCI courses has also been a valuable part of my experience.

National Yang Ming Chiao Tung University (Taiwan) #

B.Sc. in Computer Science — Focused on systems, AI, and multimedia
Selected coursework: Compiler Design, Parallel Programming, Network Programming, Systems Programming, AI, Deep Learning, Data Visualization, Computer Graphics
Academic Awards: Academic Achievement Award (7×)
Research Assistantships:

• Vision and Learning Lab (Advised by Prof. Yen-Yu Lin)
• Mobile and Ubiquitous Interaction Lab (Advised by Prof. Yung-Ju (Stanley) Chang)

At NYCU, I built a strong foundation in systems and AI, while exploring the creative aspects of computing through graphics and visualization.

Publication #

Wu, J.-J., Chang, A.C.-H., et al. (2024):
“Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation”
CVPR 2024, IEEE/CVF Conference on Computer Vision and Pattern Recognition.