Tsung-Shan (Kevin) Yang
PhD Student at University of Southern California
About Me
Tsung-Shan (Kevin) Yang is currently a Ph.D. student, advised by Professor C.-C. Jay Kuo, in Electrical Engineering at the University of Southern California. He received his Bachelor’s Degree in Chemistry and Electrical Engineering from National Taiwan University (NTU) in 2019 and his Master’s Degree in Electrical Engineering from NTU in 2021.
His research interests include image understanding and machine learning.
His research can be refered to google scholar
Education
GPA: 3.81/4.30
Dean's List for 2 semesters (2014 Fall, 2015 Spring)
Publication
Point Cloud / Quality Assessment / Green Learning
BPQA: A Blind Point Cloud Quality Assessment Method (IEEE ICIP' 23)
A point cloud quality assessment with statistical feature extraction and interpretable learning scheme.
Omnidirectional Video / Saliency Detection / Center Bias
Viewing Bias Matters in 360 Videos Visual Saliency Prediction (IEEE Access' 23)
Statistically analyze the human-bias in saliency maps and generalize the spherical kernel to time series data.
Omnidirectional Image / Encoding / Deep Learning
Omnidirectional Image Encoding (Master Thesis)
Propose an encoding based on great circle distance to revise the convolution output of omnidirectional images.
Dehazing / Real World Image / Deep Learning
NTIRE 2020 Challenge on NonHomogeneous Dehazing (IEEE CVPR' 20)
Propose an attention refinement block of the deep learning model.
Few Shot Learning / Clustering / Deep Learning
Few Shot Learning With Difficult Setting (CVGIP' 18)
Analyze the different approaches of few shot learning.
IC design / Machine Learning
IR Drop Prediction of ECO-Revised Circuits Using Machine Learning (IEEE VTS' 18)
Reduce 30X simulation time through deep learning.
Work Experience
Introduction to the transformer structures.
Maintain the course website.
Provide 2 hour TA class each week for over 300 students.