3 papers
cs.CV2025
EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices
Shaibal Saha, Lanyu Xu
Hybrid models that combine convolutional and transformer blocks offer strong performance in computer vision (CV) tasks but are resource-intensive for edge deployment. Although post…
cs.CY2025
A systematic review of research on large language models for computer programming education
Meina Zhu, Lanyu Xu, Barbara Ericson
Given the increasing demands in computer programming education and the rapid advancement of large language models (LLMs), LLMs play a critical role in programming education. This s…
cs.CV2025
Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies
Shaibal Saha, Lanyu Xu
In recent years, vision transformers (ViTs) have emerged as powerful and promising techniques for computer vision tasks such as image classification, object detection, and segmenta…