Computer Vision Researcher | Deep Learning | Edge AI
Master's student at University of Science and Technology of China (USTC) specializing in computer vision, deep learning architectures, and edge computing. Passionate about developing efficient AI systems for real-world applications.
I am a final-year Master's student in Computer Science at the University of Science and Technology of China (USTC), with a strong foundation in computer vision, deep learning, and embedded systems. My research focuses on developing efficient and practical AI solutions that bridge the gap between academic innovation and real-world deployment.
My master's thesis, "SAM-Enhanced Fire Segmentation: From Promptable Foundation Models to Efficient Architectures with Hybrid Refinement for Edge Deployment," explores how state-of-the-art vision foundation models can be adapted for resource-constrained environments. I am passionate about making AI accessible and deployable on edge devices.
Beyond research, I enjoy working on hands-on projects involving IoT systems, DevOps automation, and cloud infrastructure. I believe in continuous learning and actively share my knowledge through technical blogs and video tutorials.
Master's GPA
Bachelor's GPA
Publications
Image segmentation, object detection, medical and environmental image analysis, vision foundation models
Lightweight CNNs, hybrid transformer-CNN models, model compression, parameter-efficient fine-tuning
Real-time inference on resource-constrained devices, neural network optimization, edge-cloud collaboration
Prompt-based adaptation, visual prompting, guided segmentation, multimodal integration
Fire detection, medical image analysis, smart environments, computer vision for robotics
Embedded systems, IoT, robotics, cybersecurity, DevOps automation
Paper on "Promptable Fire Segmentation" accepted at ICIGP 2026, Wuhan, China
Submitted "LimFUNet" to The Visual Computer journal - efficient fire segmentation for edge computing
Submitted "Edge-Aware Dual Path Network for Medical Image Classification" to Machine Vision and Applications
Led team in deploying banking application using AWS, Kubernetes, and Terraform
Began Master's in Computer Science at USTC, focusing on computer vision and edge AI
I'm always open to discussing research opportunities, projects, or PhD positions.
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