Kaifeng (Calvin) Pang

Kaifeng (Calvin) Pang

PhD Student at UCLA

I am a second-year PhD candidate 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, advised by Prof. Yang Li. During my undergraduate studies, I was also fortunate to work with Prof. Yuankai Huo at Vanderbilt University.

I am a member of the Sung Lab within MRRL Labs. I also engage in collaborative research with Prof. Wayne Brisbane's group. My current research focuses on data-driven medical image enhancement, generative models, and foundation models. I was an Research Intern at Bristol Myers Squibb during summer 2025.

Outside of academia, I enjoy soccer, billiards, and bouldering. I am a fan of Arsenal and the Miami Heat. I am also a long-time player of EA Sports FC.

🙌 Feel free to drop me an email if you are interested in my research projects or potential collaboration.

💻 I will be joining Samsung Research America (SRA) this summer as a Research Intern.

Research Interests

  • Medical Imaging
  • Computational Imaging
  • Generative Models
  • Foundation Models

Education

  • Ph.D., Electrical and Computer Engineering
    University of California, Los Angeles, 2024–Now
  • M.S., Electrical and Computer Engineering
    University of California, Los Angeles, 2022–2024
  • B.Eng., Electronic Science and Engineering
    Nanjing University, 2018–2022

Recent Posts

Selected Publications

  • IEEE ISBI 2026 · Oral AICM: An Anatomical-Prior Integrated Conditional Consistency Model for Self-Supervised MRI Through-Plane Super-Resolution.
    Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Changsuk Oh, Kai Zhao, Qiudi He, Marcel Dominik Nickel, Fei Han, Kyunghyun Sung.
    Paper | Code

  • IEEE ISBI 2026 · Oral CoDe: A Self-Supervised Consistency Model Framework for MRI Denoising.
    Junying Li, Qingyang Hou, Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Elif Aygun, Shu-Fu Shih, Qing Dai, Holden H. Wu, Kyunghyun Sung.
    Paper | Code | Co-first author and corresponding author

  • IEEE ISBI 2025 MPR-Diff: A Self-Supervised Diffusion Model for Multi-Planar Reformation in Prostate Micro-Ultrasound Imaging.
    Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Kai Zhao, Eunsun Oh, Raymi Ramirez, Wayne Brisbane, Kyunghyun Sung.
    Paper | Code | Poster

  • Computers in Biology and Medicine · 2025 NExpR: Neural Explicit Representation for Fast Arbitrary-Scale Medical Image Super-Resolution.
    Kaifeng Pang, Kai Zhao, Alex Ling Yu Hung, Haoxin Zheng, Ran Yan, Kyunghyun Sung.
    Paper | Code

  • IEEE ISBI 2022 · Oral MAg: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images.
    Kaifeng Pang, Zuhayr Asad, Shilin Zhao, Yuankai Huo.
    Paper | Code | Presentation

Please refer to my Google Scholar page for the full list.

Academic Service

  • Journals: IEEE Transactions on Medical Imaging (TMI), Scientific Reports, BMC Medical Imaging, etc.
  • Conferences: MICCAI, IEEE ISBI, IEEE-EMBS BHI, etc.