3 papers
cs.CR2025
Detection and Analysis of Sensitive and Illegal Content on the Ethereum Blockchain Using Machine Learning Techniques
Xingyu Feng
Blockchain technology, lauded for its transparent and immutable nature, introduces a novel trust model. However, its decentralized structure raises concerns about potential inclusi…
quant-ph2025
A Comparative Study of Encoding Strategies for Quantum Convolutional Neural Networks
Xingyun Feng
Quantum convolutional neural networks (QCNNs) offer a promising architecture for near-term quantum machine learning by combining hierarchical feature extraction with modest paramet…
cs.CV2025
Enhancing Object Discovery for Unsupervised Instance Segmentation and Object Detection
Xingyu Feng, Hebei Gao, Hong Li
We propose Cut-Once-and-LEaRn (COLER), a simple approach for unsupervised instance segmentation and object detection. COLER first uses our developed CutOnce to generate coarse pseu…