Xiaoxin He

A Deep Convolutional Network Demodulator for Mixed Signals with Different Modulation Types

2017

In recent years, deep learning is becoming more and more popular. It has been widely applied to fields including image recognition, automatic speech recognition and natural language processing(NLP). In the field of communication, signals are …

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

2023 · arXiv (Cornell University)

Representation learning on text-attributed graphs (TAGs) has become a critical research problem in recent years. A typical example of a TAG is a paper citation graph, where the text of each paper serves as node …