CV

Contact

• Tel: +852 51021009
• Email: xkyang22@cse.cuhk.edu.hk

Education

• B.S. in Information Engineering, Chu Kochen Honors College, Zhejiang University, 2019
• M.S. in Electronic Science and Technology, UM-SJTU Joint Institute, Shanghai Jiao Tong University, 2022
• Ph.D student in Computer Science and Engineering Department, Chinese University of Hong Kong, 2022-Now

Honors & Awards

• Outstanding Graduates Award, Shanghai Jiao Tong University, 2022
• Graduate National Scholarship (top 2%), 2021
• KLA & and Ya Dong Scholarship (10 selected prize-winners in all around 360 graduated students), 2021
• Zhejiang Provincial Government Scholarship, 2018
• First-Class Scholarship for Outstanding Merits of Zhejiang University, 2018
• Excellent Student Awards of Zhejiang University, 2017

Selected Publications

Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction

CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose

Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction

Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images

Temporal-multimodal consistency alignment for Alzheimer’s cognitive assessment prediction

Presentations

• Oral Presentation in 16th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine (online), Jul.2021
• Oral Presentation in 6th International Conference on Image Formation in X-Ray Computed Tomography (online), Jul.2020
• Poster Presentation in the workshop on Computational Imaging held by the Institute for Mathematics and itsApplications (IMA) in the University of Minnesota, Twin Cities, USA. Oct.2019

Professional Activity

• Serve as a reviewer of IEEE Transactions on Neural Networks and Learning Systems
• Serve as a reviewer of IEEE Transactions on Computational Imaging
• Serve as a reviewer of MICCAI 2024, 2025.

Teaching

• Teaching assistant for CSCI 2040 (Introduction to Python), September.2024
• Teaching assistant for ENGG 1110F (Problem Solving By Programming), September.2023
• Teaching assistant (Head TA) for ENGG 2760A (Probability for Engineers), September.2022
• Teaching assistant (Head TA) for VE216 (Intro to signals and systems), May.2021

Skills

• Programming: Python, C++, Matlab
• Framework: Pytorch, tensorflow