About Me
👋 Hi there! I’m an MScAC student at the University of Toronto, studying computer science. I’m privileged to be supervised by Prof. Nandita Vijaykumar, and I’m honored to be part of the embARC research group at the University of Toronto.
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