Zhiyuan Chen

Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns

2021 · Proceedings of the International AAAI Conference on Web and Social Media

Although opinion spam (or fake review) detection has attracted significant research attention in recent years, the problem is far from solved. One key reason is that there is no large-scale ground truth labeled dataset available …

Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection

2019 · arXiv (Cornell University)

This paper proposes an autoencoder (AE) that is used for improving the performance of once-class classifiers for the purpose of detecting anomalies. Traditional one-class classifiers (OCCs) perform poorly under certain conditions such as high-dimensionality and …

AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection

2019 · arXiv (Cornell University)

Anomaly detection is referred to as a process in which the aim is to detect data points that follow a different pattern from the majority of data points. Anomaly detection methods suffer from several well-known …

Intent Matching based Customer Services Chatbot with Natural Language Understanding

2022 · arXiv (Cornell University)

Customer service is the lifeblood of any business. Excellent customer service not only generates return business but also creates new customers. Looking at the demanding market to provide a 24/7 service to customers, many organisations …

An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning

2021 · arXiv (Cornell University)

Service manual documents are crucial to the engineering company as they provide guidelines and knowledge to service engineers. However, it has become inconvenient and inefficient for service engineers to retrieve specific knowledge from documents due …