Alex Ling Yu Hung
Scholar

Alex Ling Yu Hung

Google Scholar ID: xEFJjVoAAAAJ
UCLA
medical image analysisdeep learningcomputer vision
Citations & Impact
All-time
Citations
291
 
H-index
7
 
i10-index
5
 
Publications
20
 
Co-authors
14
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - 2025, IEEE 22nd International Symposium on Biomedical Imaging (ISBI), "Minimally User-Guided 3D Micro-Ultrasound Prostate Segmentation", Authors: Hung, Alex Ling Yu, Kai Zhao, Kaifeng Pang, Qi Miao, Zhaozhi Wang, Wayne Brisbane, Demetri Terzopoulos, Kyunghyun Sung
  • - 2025, IEEE 22nd International Symposium on Biomedical Imaging (ISBI), "MPR-Diff: A Self-Supervised Diffusion Model for Multi-Planar Reformation in Prostate Micro-Ultrasound Imaging", Authors: Pang Kaifeng, Qi Miao, Alex Ling Yu Hung, Kai Zhao, Eunsun Oh, Raymi Ramirez, Wayne Brisbane, Kyunghyun Sung
  • - 2025, Computers in Biology and Medicine, "NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution", Authors: Pang, Kaifeng, Kai Zhao, Alex Ling Yu Hung, Haoxin Zheng, Ran Yan, and Kyunghyun Sung
  • - 2024, International Conference on Medical Image Computing and Computer-Assisted Intervention, "Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection", Authors: Hung, Alex Ling Yu, Haoxin Zheng, Kai Zhao, Kaifeng Pang, Demetri Terzopoulos, and Kyunghyun Sung
Research Experience
  • - Graduate Student Researcher, Sung Lab, UCLA, September 2021 - present, Advisors: Prof. Kyung Hyun Sung and Prof. Demetri Terzopoulos
  • - Research Assistant, Biomedical Image Guidance (BIG) Lab, CMU, August 2019 - May 2021, Advisor: Prof. John Galeotti
  • - Research Intern, Philips Respironics, May 2020 - August 2020
  • - Research Assistant, Xie Lab, Peking University, December 2016 - June 2019, Advisor: Prof. Tianyu Xie
  • - Research Intern, Penn Image Computing and Science Lab (PICSL), University of Pennsylvania, July 2018 - September 2018, Advisor: Prof. Paul Yushkevich
Education
  • - University of California, Los Angeles (UCLA), Ph.D. in Computer Science, September 2021 - present, Advisors: Prof. Kyung Hyun Sung and Prof. Demetri Terzopoulos
  • - Carnegie Mellon University (CMU), Master of Science in Biomedical Engineering, August 2019 - May 2021, Advisor: Prof. John Galeotti
  • - Peking University, Bachelor of Engineering in Biomedical Engineering, minor in Computer Science, August 2015 - June 2019, Advisor: Prof. Tianyu Xie
  • - University of Oxford, Summer School, August 2017 - September 2017
Background
  • Research interests: generative models, uncertainty quantification, segmentation and detection in volumetric data. Specifically, focusing on volumetric segmentation with 2D convolutions by leveraging cross-slice information, prompt-based segmentation techniques, aleatoric and epistemic uncertainty estimation for enhanced model explainability, as well as developing deep generative models for artifacts removal and data augmentation.