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20202025
most citedHeterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity

16 citations · 24 across the 10 of their papers we have counts for

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Showing cs.LGShow all

6 papers · 1 filter

cs.LG2025

Adversarially Robust Detection of Harmful Online Content: A Computational Design Science Approach

Yidong Chai, Yi Liu, Mohammadreza Ebrahimi +2

Social media platforms are plagued by harmful content such as hate speech, misinformation, and extremist rhetoric. Machine learning (ML) models are widely adopted to detect such co…

cs.LG2024

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…

cs.LG2024★ 1 cited

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models

Yuncong Yang, Xiao Han, Yidong Chai +3

Recent privacy regulations (e.g., GDPR) grant data subjects the `Right to Be Forgotten' (RTBF) and mandate companies to fulfill data erasure requests from data subjects. However, c…

cs.LG2024

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…

cs.LG2022★ 16 cited

Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity

Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang +1

Learning predictive models in new domains with scarce training data is a growing challenge in modern supervised learning scenarios. This incentivizes developing domain adaptation m…

cs.LG2020★ 4 cited

Deep Learning for Information Systems Research

Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan +2

Artificial Intelligence (AI) has rapidly emerged as a key disruptive technology in the 21st century. At the heart of modern AI lies Deep Learning (DL), an emerging class of algorit…