Ye Zhang

A Recommendation Algorithm via Developed Random Walk Takes User's Preference and Item's Genres

2017

It is difficult to quickly find the information that users are most interested in due to the increasing number and diversity of information. The traditional random walk algorithm only considers all the users' choice of …

Enhanced Transformers for Radar Jamming Recognition

2023

The recognition of jamming type is a key step among advanced anti-jamming techniques. Currently, deep convolutional neural network (CNN)-based and recurrent neural network (RNN)-based methods have been used for radar jamming recognition. However, they both …

Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing

2024 · arXiv (Cornell University)

Large language models (LLMs) are increasingly being adopted in a wide range of real-world applications. Despite their impressive performance, recent studies have shown that LLMs are vulnerable to deliberately crafted adversarial prompts even when aligned …

Rationale-Augmented Convolutional Neural Networks for Text Classification

2016

We present a new Convolutional Neural Network (CNN) model for text classification that jointly exploits labels on documents and their constituent sentences. Specifically, we consider scenarios in which annotators explicitly mark sentences (or snippets) that …

MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

2016

We introduce a novel, simple convolution neural network (CNN) architecture - multi-group norm constraint CNN (MGNC-CNN) that capitalizes on multiple sets of word embeddings for sentence classification. MGNC-CNN extracts features from input embedding sets independently …