CV
Up-to-date pdf version is upon request.
Education
University of California, Irvine (UCI) | 2022-2027 (Expected)
PhD in Computer Science. GPA: 3.8/4.0
University of Engineering and Technology, VNU | 2017-2021
BSc in Computer Science. GPA: 3.75/4.00 (Top 3%)
Publication
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
T. Le, K. Nguyen, S. Sun, N. Ho, X. Xie.
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
T. Le, K. Nguyen, S. Sun, K. Han, N. Ho, X. Xie.
The International Conference on Learning Representations (ICLR), 2024.
Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction
S. Sun*, T. Le*, C. You, H. Tang, K. Han, H. Ma, D. Kong, X. Yan, X. Xie.
Preprint 2024.
Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane
K. Han, S. Sun, T. Le, X. Yan, H. Ma, C. You, X. Xie.
The IEEE Winter Conference on Applications of Computer Vision (WACV) , 2024.
AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Medical Imaging Segmentation
X. Yan, S. Sun, K. Han, T. Le, H. Ma, C. You, X. Xie.
The IEEE Winter Conference on Applications of Computer Vision (WACV) , 2024.
Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
K. Le, T. Tran, H. Pham, H. Nguyen, T. Le, H. Nguyen.
IEEE Access, 2023.
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels.
H. Pham, T. Le, D. Tran, D. Ngo, H. Nguyen.
Neurocomputing, 2021.
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks.
T. Tran, H. Pham, T. Nguyen, T. Le, H. Nguyen, H. Nguyen
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021.
VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays.
H. Nguyen, T. Le, H. Pham, H. Nguyen
Medical Imaging with Deep Learning (MIDL), 2021.
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network.
T. Le*, H. Nguyen*, T. Nguyen, N. Nguyen
International MICCAI Brainlesion Workshop, 2021.
* denotes equal contribution.
Work Experiences
Teaching Assistant | 2022-Present
University of California, Irvine | CA, USA
- Assist professors in designing materials and leading discussions on CS courses for undergrad and grad students.
- TA Courses: AI in Biology; Computational Photography and Vision; Ethical AI; Project AI: Reinforement Learning.
Computer Vision Engineer Intern | 2023
Fizio Health Inc. - website: fiziohealth.com | NY, USA
- Designed DL pipeline for analyzing fitness videos including action recognition and detecting repetitive actions.
- Technologies: Pytorch, SMPL, BlazePose.
Computer Vision Researcher | 2019-2022
Vingroup of Big Data Institute - website: vinbigdata.com
- Built DL framework for automatically diagnosing Chest CT and Chest X-ray.
- Technologies: Pytorch, Detectron, Docker, TensorRT.
Professional Services
Reviewer at Conference on The European Conference on Computer Vision (ECCV) | 2024.
Reviewer at International Conference on Machine Learning (ICML). | 2024.
Reviewer at Conference on Neural Information Processing Systems (NeurIPS) | 2023.
Reviewer at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) | 2023.
Professional member of Institute of Electrical and Electronics Engineers (IEEE) | 2022-Present.
Awards
Dean’s Award from ICS department, UCI (\$10K) | 2022.
Best Undergraduate Thesis Presentation Award. | 2021.
Undergrad Dean’s list (7/8 semesters) (\$5K). | 2017-2021.
Technical skills
Languages: Python (proficient) $>$ C++ $>$ Java.
Frameworks: Pytorch (proficient) $>$ Tensorflow.
Developer Tools: Git, Docker, Google Cloud Platform, AWS, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse.
Other Libraries: Pandas, NumPy, Matplotlib, Sklearn, OpenCV, Pytorch3D, Open3D, Trimesh, POT.
Reference
Professor Xiaohui Xie (Academic advisor) | Email: xhx@ics.uci.edu