About Me
👋 Hi there!
I’m privileged to be advised by Dr. Frank Wood, and I’m honored to be part of the PLAI Lab.
Interests
- Diffusion Models
- Generative Models
- Machine Learning
- Vision-Language Models
Education
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MSc in Applied Computing
Sep. 2022 – June 2024
University of Toronto
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Bachelor in Economics
Sep. 2019 – June 2022
Peking University
Publications
(2024).
Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion.
In International Conference on Bioinformatics and Biomedicine (BIBM 2024).
Projects
Experience
Research and Development Intern
- Designed a model compression pipeline to accelerate vision models, especially for real-time indoor scene segmentation on drone’s companion computers
- Introduced a novel feature-based knowledge distillation method for image classification and semantic segmentation, combining self-supervised learning with reused classifier
- Attained a remarkable 79.91% classification accuracy on CIFAR-100 with ResNet-8x4 student model, surpassing state-of-the-art approaches by 1.83% (e.g., SimKD, DIST, and DKD)
- Deployed SegFormer on the Jetson Xavier board using OpenMMLab and PyTorch, achieving a 16.14% boost in mIoU and a 43.8% reduction in model size compared to the previous segmentation model
- Developed a distillation codebase for MMSegmentation models, simplifying the implementation of distillation loss functions and training pipelines, thus facilitating knowledge distillation for semantic segmentation research
- Optimized semantic segmentation models for drone deployment on the Jetson Orin using inference optimization and model quantization, leading to a notable 66.56% decrease in inference latency
Courses
CSC2503: Foundations of Computational Vision
MIE1628: Cloud-Based Data Analytics