59 citations · 59 across the 6 of their papers we have counts for
6 papers
Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method
Yidong Chai, Kangwei Shi, Jiaheng Xie +3
Fake news on social media platforms poses a significant threat to societal systems, underscoring the urgent need for advanced detection methods. The existing detection methods can…
Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model
Yonghang Zhou, Hongyi Zhu, Yidong Chai +2
Web attacks are one of the major and most persistent forms of cyber threats, which bring huge costs and losses to web application-based businesses. Various detection methods, such…
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning
Anqi Zhou, Yezheng Liu, Yidong Chai +4
Federated Learning (FL) has garnered widespread adoption across various domains such as finance, healthcare, and cybersecurity. Nonetheless, FL remains under significant threat fro…
Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network
Erkang Jing, Yezheng Liu, Yidong Chai +4
Music recommender systems play a critical role in music streaming platforms by providing users with music that they are likely to enjoy. Recent studies have shown that user emotion…
TopicModel4J: A Java Package for Topic Models
Yang Qian, Yuanchun Jiang, Yidong Chai +2
Topic models provide a flexible and principled framework for exploring hidden structure in high-dimensional co-occurrence data and are commonly used natural language processing (NL…
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu, Zhe Li, Chong Zhou +4
Outlier detection is an important topic in machine learning and has been used in a wide range of applications. In this paper, we approach outlier detection as a binary-classificati…