Jie-En Yao
HCL-FF: Hierarchical and Contrastive Learning for Forward-Forward Algorithm
Jie-En Yao, Hong-En Chen, C-C Jay Kuo
CVPR 2026, IEEE/CVF Conference on Computer Vision and Pattern Recognition
Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions
Jintang Xue, Ganning Zhao, Jie-En Yao, Hong-En Chen, Yue Hu, Meida Chen, Suya You, C-C Jay Kuo
WACV 2026, IEEE/CVF Winter Conference on Applications of Computer Vision
SHFE: Transparent And Green Image Classification Via Supervised Hierarchical Feature Extraction
Jie-En Yao, Xinyu Wang, C-C Jay Kuo
ICIPW 2025, IEEE International Conference on Image Processing Workshops
Ma-Yolo: Video Object Detection Via Motion-Assisted Yolo
Xinyu Wang, Hong-Shuo Chen, Zhiruo Zhou, Jie-En Yao, C-C Jay Kuo
ICIPW 2025, IEEE International Conference on Image Processing Workshops
Local Implicit Normalizing Flow for Arbitrary Scale Image Super-Resolution
Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee
CVPR 2023, IEEE/CVF Conference on Computer Vision and Pattern Recognition
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA
Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Bo-Wun Cheng, Chen-Hao Chao, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee
BMVC 2022, British Machine Vision Conference
- Prototyped, optimized, and iterated on advanced deep learning architectures, efficiently translating research ideas into high-quality experimental results
- Developed a novel arbitrary-scale super-resolution model, achieving state-of-the-art performance and publication at CVPR
- Performed data preprocessing, feature engineering, and trained predictive Machine Learning models to forecast production quality, enabling data-driven quality control
Data Science Professional Practicum @ USC (Graduate Course)
Spring 2026, with Prof. Young Cho- Hosted weekly office hours and provided guidance on student projects
Principles of Programming for Data Science @ USC (Graduate Course)
Fall 2025, with Prof. Alexey Tregubov- Led weekly lab sessions and office hours, supporting 50+ students develop Python and data science foundations
Introduction to Programming @ NTHU (Undergraduate Course)
Spring 2021, with Prof. Po-Chih Kuo- Hosted weekly TA session to help students develop their C++ programming proficiency
Outside of work, I’m a big sports fan, particularly basketball and soccer. I also like playing poker, especially for the strategy behind it. In the winter, I like to hit the slopes and go skiing. I'm powered by coffee and Coca-Cola.
Fun fact: I absolutely love orcas (which is why one happens to be the logo of this website).