About
I am Alex Hung (孔令宇), a ph.D. student in the Computer Science department at UCLA working in Sung Lab where I am fortunate to be advised by Prof. Kyung Hyun Sung and Prof. Demetri Terzopoulos. Prior to joining UCLA, I was working in Biomedical Image Guidance Lab at CMU as a Master student under prof. John Galeotti. Before graduate study, I received my Bachelor’s degree in Biomedical Engineering from Peking University where I worked with Prof. Tianyu Xie and also minored in Computer Science. During undergrad, I also briefly worked in Penn Image Computing and Science Lab at UPenn under the supervision of Prof. Paul Yushkevich.
My main research interest is to apply computer vision and machine learning approaches to medical image analysis. In particular, I am interested in medical image segmentation, uncertainty measurement, and image generation.
Education
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ph.D. in Computer Science
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Master of Science in Biomedical Engineering
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Bachelor of Engineering in Biomedical EngineeringMinor in Computer Science
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Summer School
Research Experience
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Advised by Prof. Kyung Hyun Sung and Prof. Demetri Terzopoulos
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Advised by Prof. John Galeotti
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Advised by Prof. Tianyu Xie
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Advised by Prof. Paul Yushkevich
Teaching Experience
Teaching Assistant for CS32 Introduction to Computer Science II, UCLA, Fall 2023
Teaching Assistant for 10708 Probabilistic Graphical Models, CMU, Spring 2021
Teaching Assistant for 42782 Biomedical System Modeling and Analysis, CMU, Fall 2020
Publications
2024
- Hung, Alex Ling Yu, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, and Kyunghyun Sung. "CSAM: A 2.5D 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. (Oral)
2023
- Hung, Alex Ling Yu, Kai Zhao, Haoxin Zheng, Ran Yan, Steven S. Raman, Demetri Terzopoulos, and Kyunghyun Sung. "Med-cDiff: Conditional Medical Image Generation With Diffusion Models." in Bioengineering 10, no. 11 (2023): 1258. https://doi.org/10.3390/bioengineering10111258.
- Hung, Alex Ling Yu, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, and Kyunghyun Sung. "CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI." in IEEE Transactions on Medical Imaging, vol. 42, no. 1, pp. 291-303, Jan. 2023, doi: 10.1109/TMI.2022.3211764.
- Zhao, Kai, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, and Kyunghyun Sung. "PartDiff: Image Super-resolution with Partial Diffusion Models." arXiv preprint arXiv:2307.11926 (2023).
2022
- Hung, Alex, Evan Becker, Ted Zadouri, and Aditya Grover. "Conditioned Spatial Downscaling of Climate Variables." In NeurIPS 2022 AI for Science: Progress and Promises. 2022.
2021
- Hung, Alex Ling Yu, Zhiqing Sun, Wanwen Chen, and John Galeotti. "Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference." In Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, pp. 83-92. Springer, Cham, 2021.
- Hung, Alex Ling Yu, and John Galeotti. "Ultrasound Variational Style Transfer to Generate Images Beyond the Observed Domain." In Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, pp. 14-23. Springer, Cham, 2021.
- Hung, Alex Ling Yu, and John Galeotti. "Good and bad boundaries in ultrasound compounding: preserving anatomic boundaries while suppressing artifacts." International Journal of Computer Assisted Radiology and Surgery 16, no. 11 (2021): 1957-1968.
- Hung, Alex Ling Yu, Wanwen Chen, and John Galeotti. "Ultrasound confidence maps of intensity and structure based on directed acyclic graphs and artifact models." In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 697-701. IEEE, 2021.
- Gare, Gautam Rajendrakumar, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery et al. "The Role of Pleura and Adipose in Lung Ultrasound AI." In Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, pp. 141-149. Springer, Cham, 2021.
- Das, Sandhitsu R., Long Xie, Robin de Flores, Monica Munoz, Maria Mercedes Iniguez de Onzono Martin, Ranjit Ittyerah, Sydney A. Lim, Sadhana Ravikumar, Madigan Lavery, Stephen R Pickup, Weixia Liu, Jiancong Wang, Ling Yu Hung et al. "Application of histopathologically derived 3D tau burden map as in‐vivo region of interest for biomarker analysis." Alzheimer's & Dementia 17 (2021): e055096.
- Yushkevich, Paul A., Mónica Muñoz López, María Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Sadhana Ravikumar, Madigan L. Bedard, Stephen Pickup, Weixia Liu, Jiancong Wang, Ling Yu Hung et al. "Three-dimensional mapping of neurofibrillary tangle burden in the human medial temporal lobe." Brain 144, no. 9 (2021): 2784-2797.
2020
- Yushkevich, Paul A., Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Jiancong Wang, Ling Yu Hung et al. "3d mapping of tau neurofibrillary tangle pathology in the human medial temporal lobe." In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp. 1312-1316. IEEE, 2020.