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About me
I am a PhD student in the Department of Radiological Sciences and the Department of Electrical and Computer Engineering at UCLA, where I am privileged to be co-advised by Prof. Kyung Sung and Prof. Robert Candler. Prior to joining UCLA, I received my Bachelor’s degree in Electronic Science and Engineering from Nanjing University in 2022, under the guidance of Prof. Yang Li. During my undergraduate studies, I was also fortunate to work with Prof. Yuankai Huo at Vanderbilt University.
As an active researcher in medical AI, I work as a graduate student researcher in Sung Lab of MRRL Labs, collaborating with Dr. Kai Zhao and Dr. Qi Miao. I also engage in collaborative research with Dr. Wayne Brisbane’s group. I work on using artificial intelligence and medical data to develop advanced medical imaging and diagnostic algorithms. My current research focuses on applying generative AI to medical image enhancement, including tasks such as super-resolution, denoising, and reformation.
Outside of academia, I enjoy sports and games like soccer, billiards, and table tennis. I am a fan of Arsenal and Miami Heat. I also have a broad interest in movies and musicals.
Feel free to drop me an email if you are interested in my research projects or potential collaboration. 😎
Modestly, Devoutly, Boldly.- Medical Imaging
- Deep Learning
- Image Enhancement
- Generative AI
Ph.D. in Electrical and Computer Engineering, 2024-Now
University of California, Los Angeles
MSc in Electrical and Computer Engineering, 2022-2024
University of California, Los Angeles
BEng in Electronic Science and Engineering, 2018-2022
Nanjing University
Recent Posts
To record my thoughts and life (sometimes in Chinese)
Publications
Pang, Kaifeng, Kai Zhao, Alex Ling Yu Hung, Haoxin Zheng, Ran Yan, and Kyunghyun Sung. “NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution.” Computers in Biology and Medicine 184 (2025): 109354. [paper] [code]
Zhao, Kai, Kaifeng Pang, Alex Ling Yu Hung, Haoxin Zheng, Ran Yan, and Kyunghyun Sung. “MRI Super-Resolution with Partial Diffusion Models.” IEEE Transactions on Medical Imaging (2024). [paper]
Hung, Alex Ling Yu, Haoxin Zheng, Kai Zhao, Kaifeng Pang, Demetri Terzopoulos, and Kyunghyun Sung. “Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 113-123. Cham: Springer Nature Switzerland, 2024. [paper]
Zhao, Kai, Kaifeng Pang, Alex LingYu Hung, Haoxin Zheng, Ran Yan, and Kyunghyun Sung. “A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion Imaging.” Cancers 16, no. 17 (2024): 2983. [paper]
Hung, Alex Ling Yu, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, and Kyunghyun Sung. “CSAM: A 2.5 D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 5923-5932. 2024. [paper]
Pang, Kaifeng, Zuhayr Asad, Shilin Zhao, and Yuankai Huo. “MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images.” In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp. 1-4. IEEE, 2022. (oral) [paper] [code] [presentation]
Please refer to my Google Scholar page for the full list.
Teaching
- Teaching Assistant: ECE 239AS.3 Advanced Neural Networks and Deep Learning, UCLA, Spring (2024)
- Teaching Assistant: ECE C147/C247 Neural Networks and Deep Learning, UCLA, Winter (2024, 2025)
- Graduate Tutor / Teaching Assistant: Break Through Tech AI-AI Studio, UCLA, Fall (2023)
- Teaching Assistant: Break Through Tech AI-Machine Learning and Data Science, UCLA, Summer (2023)
Academic services
- Conference review: IEEE ISBI, IEEE SMC.
- Journal review: IET Computer Vision.